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I-5 southbound project on track as pressure builds for local businesses
Portland’s southbound I-5 Rose Quarter shutdown hits the halfway point, with ODOT saying repairs remain on track for Oct. 16. But delays are worsening and nearby businesses report steep losses as traffic patterns shift.
Travis Etienne Injury Update is Key News for Saints
Travis Etienne hasn’t gotten his New Orleans Saints career off to a great start. It might be getting worse in Week 3. He appears to have sustained an injury. While the Saints were in the midst of throwing four touchdowns to tight ends (two to Juwan Johnson, two to Noah Fant), Etienne left the field […] The post Travis Etienne Injury Update is Key News for Saints appeared first on HEAVY.
Scientists Found a Hidden Brain Circuit That May Explain Why Heart Attacks Get Worse After They Happen
The story of a heart attack does not end when blood flow is restored. New research suggests the body continues a complex response after the injury, and scientists have identified a brain-connected pat...
Zoff: ‘Mancini’s advantage is Italy cannot get any worse’
Dino Zoff was not encouraged by what he saw at the Stadio Olimpico on Friday evening, but the 1982 World Cup-winning captain believes there is only one direction available to Roberto Mancini’s Italy...
What higher education can do to get students involved in politics.
A recent national poll conducted by Harvard University revealed that young Americans are a pessimistic bunch. People between ages 18 and 29 view inflation and the rising cost of housing as national crises. More than a quarter of young adults believe they’ll end up worse off financially than their pa...
This weather threat costs us billions. And it’s about to get worse.
Scientists are chasing hail to understand what’s happening to these dangerous projectiles.
Trump TV's intentional brainrot
As the polls get worse for Republicans, Trump offers his base a boob-tube safe space
Detained Tunisian flotilla activists: Worsening health amid family anguish
As activists’ health deteriorates, families describe the toll of separation, hunger strikes and uncertainty.
Grand Canyon tour operator says some businesses have been set back worse than during COVID-19
Last year’s Dragon-Bravo Fire on the North Rim of the Grand Canyon and this August’s devastating floods that restricted lodging on the South Rim, have been a major disruption for local businesses who rely on tourists.
Intel Panther Lake Teardown, 18A, BSPD, GAAFET, SemiAnalysis STEEL
Panther Lake debuts the first commercial implementation of backside power delivery (BSPDN), introduces Intel’s first iteration of gate-all-around (GAA) transistors, and showcases their advanced packaging capabilities with its Foveros-S assembly. With Panther Lake, Intel’s manufacturing arc has shifted from nebulous roadmaps to shipped silicon, a significant milestone on their long road back to competitive semiconductor manufacturing. To evaluate the extent of Intel’s comeback, we tore down Panther Lake. The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Our teardown traces 18A from its four-sheet RibbonFETs (Intel’s marketing name for GAAFETs) and gate stacks through contacts, frontside and backside wiring, and the bonded carrier. We explain how these material and integration choices improve gate control and reduce resistance, while adding capacitance, thermal resistance, and process complexity. Our measurements put Panther Lake’s 18A compute logic and TSMC N3E GPU logic at similar logic density. However, 18A does not lead TSMC N3P, N2 or Samsung SF2 in peak density. Panther Lake’s CPU cores are incremental updates, and the high-end GPU still uses TSMC N3E. Panther Lake assembles one compute tile, one GPU tile, and one I/O tile atop a passive base tile using Intel’s Foveros-S advanced packaging. Both compute tile variants use Intel 18A. The Xe3 GPU options are a 4-core GT1 tile on Intel 3 and a larger 12-core GT2 tile on TSMC N3E. Both I/O tile variants use TSMC N6. [1], [2] Our analysis centers on the PTL-U compute tile, both the 4-core and 12-core GPU tiles, as well as the 12-lane I/O tile. In conventional chips, power and signal are routed through the same frontside metal stack towards the device frontend. Power rails consume scarce routing resources near the transistors, while tall via stacks carry VDD and VSS from the coarse upper wires to local rails. Backside power delivery (BSPD) moves the main power network behind the transistor layer, to the backside, separating it from frontside signal routing. We covered BSPD and its impacts in 2024. [3], [4], [5] Intel’s BSPD implementation, branded as “PowerVia”, routes power through dedicated backside metals to nano-TSVs, which connect those rails to local source/drain (S/D) contacts. Implementing that separation requires Intel to build the interconnect stacks from both sides of the wafer. The frontside comprises the M0-M14 signal stack, while the backside comprises the BM0-BM5 power stack. M0 and BM0 are closest to the transistors. The nano-TSVs connect the two sides, but Intel patterns and etches each via from the front after forming the contacts. A narrow via runs from the side of the contact deep into the silicon substrate. Intel then completes the frontside signal metal stack, bonds the wafer to a carrier, flips it and removes the original substrate until the buried via tips are exposed. The backside metal stack is then deposited directly on the revealed vias. The nano-TSV and backside-via profiles taper in opposite directions because Intel forms them from opposite sides of the wafer. The transistor structures form the FEOL. Local contacts and nano-TSVs connect them to the wiring. M0 begins the frontside interconnect stack. The silicon carrier remains attached above the frontside interconnects. It supports the device wafer during substrate removal and backside processing and remains part of the finished chip’s thermal path. PowerVia removes the main power distribution from the congested frontside metals, routing supply through shorter and wider backside wires. Its lateral landing still occupies area in the standard cell, so it recovers less cell area than a direct backside contact. [3] Nano-TSVs beside the logic devices carry VDD or VSS from the backside power network, while signal connections continue upward through the frontside metals. Backside Interconnects Samsung SF2 data is included for comparison to Panther Lake’s within this article. SF2 is the incumbent GAA foundry node but lacks BSPD, serving as a useful reference to evaluate 18A. A full teardown of Samsung’s S26 products, processed on SF2, will be shared soon.Nanosheet-cut EDS comparison. The PowerVia supply path runs from the backside Cu rails through Mo-lined W nano-TSVs to the local transistor contacts. In this cross section, the tapered connection spans roughly 150 nm from the contact level to BM0. The Ta liner confines Cu and promotes adhesion to the surrounding stack; the AlOₓ etch stop controls the next dielectric etch above the rail. Dielectric beneath the ribbons electrically separates the devices from the backside wiring and removes the conducting silicon body below the channel. [6] AlOₓ serves as an etchstop (ES), enabling endpointing and protecting the underlying layers. Low-volatility aluminum fluoride reaction products resist the fluorinated plasma, allowing a thin AlOₓ film to protect the metal while the surrounding low-k dielectric is removed. [6], [7]. While the BM0 and layers above the M1 lines show double AlOx layers, Our SMIC N+3 teardown showed single AlOₓ layers. SMIC uses a simpler local AlOₓ substack, while the remaining cap and etch sequence provide the required landing protection. So why double layers? The closely spaced AlOₓ doublets provide two protected endpoints in the etch sequence. Intel documents an AlOₓ/SiN/AlOₓ stack that explains the benefit. The main dielectric plasma etch stops on the first AlOₓ film; a selective wet clear opens that film; a second plasma etch removes the intermediate SiN and stops on the second AlOₓ film. The final wet clear exposes the metal landing surface. SiN is the intermediate dielectric in Intel’s published example. [8] The second stop protects the metal through a cap breakthrough. Wide openings can etch faster than narrow ones, and etch depth varies across the wafer. Metal under an early-clearing opening would otherwise be exposed while other openings still need more etching. Staged protection widens the process window and reduces metal erosion, corrosion and void formation. [8] TSMC documents AlN/AlOₓ/SiOC/AlOₓ above Cu, with AlN blocking Cu diffusion, and a simpler AlN/SiOC/AlOₓ variant that omits one AlOx film. [9] Levels with different opening sizes, aspect ratios, pattern densities and cap materials need different etch margins. A double AlOx stop is useful where another protected endpoint justifies the added processing. The extra film adds formation, selective opening and cleaning steps, plus another set of interfaces to control adhesion, moisture, and stress. These blanket films are opened through the existing via pattern, so each film does not require another lithography mask. AlOₓ adds parasitic capacitance when it replaces lower-k dielectric; two thin AlOₓ films can nevertheless contain less AlOₓ than one thick film. Total thickness, placement, and theintermediate dielectric determine the electrical cost. Deposition chemistry also changes AlOx permittivity and residual hydroxyl content, which can oxidize the underlying metal. [7], [8], [10], [11] The backside stack separates into relatively fine BM0-BM2 wiring near the devices and coarser BM3-BM5 power distribution. The largest pitch increase occurs between BM2 and BM3. BM0’s pitch closely matches the logic-row height, fitting local power delivery to the cell rows. Higher levels aggregate current through larger conductors: routing density becomes less important than low resistance and current capacity as the network approaches the package. This hierarchy provides wide power wiring for the power delivery network without consuming scarce frontside signal-routing resources. [3] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Frontside Interconnects Intel 18A combines Mo-lined W contacts and nano-TSVs with a separate backside Cu power network. Samsung SF2 keeps power on the frontside, using Ti-based contact interfaces and Ta-based barriers and Co liners around Cu wiring. In 18A standard-cell rows, backside power rails supply the devices through nano-TSVs within the cells, freeing frontside routing resources. Samsung’s M0 accommodates both power and signal connections. From the device toward M0, the connection runs through a Ti-based S/D interface, W contact fill, a Mo-lined W via, and the Cu M0 wire. Mo supplies a conductive nucleation and adhesion layer for W, replacing the resistive TiN liner used in conventional W integration. This increases the effective conduction volume within the feature while retaining W fill and its established polishing, cleaning and etching processes. Intel’s Mo/W patent describes this integration tradeoff. The nano-TSV uses the same Mo-lined W construction in the backside supply path. [12] The move from TiN to Mo is an incremental change. While a full Co or Mo fill can also reduce the volume lost to liners in very small features, it requires new integration schemes that increase complexity and risk. Cu remains attractive for wider wires due to its low resistance. As wires and vias shrink, the diffusion barrier consumes an increasing fraction of their cross-section. [12], [12], [14] Intel uses Co/Ru liners at M0-M1, Co at M2-M4, and Nb at M5-M9. The lower-level liners help Cu adhere and reduce void formation during trench fills. Applied Materials’ Endura has new thermal control that facilitate wetting process, so the thin film continuity is good enough that good capillary pressure will drive Cu atoms to the via bottom without voiding. Intel’s choice to use Nb is particularly interesting. Intel’s Nb patent describes a conductive diffusion barrier intended to reduce the barrier’s contribution to resistance relative to conventional Ta-based barriers, particularly at via bottoms where all current crosses the barrier. The patent pairs Nb in coarser levels with the option of lower-cost PVD processing. [15], [16] The upper metal layers support thicker barriers formed through physical vapor deposition (PVD) despite its worse coverage and uniformity. Meanwhile, the lower metal layers require thinner barriers deposited through conformal atomic layer deposition (ALD). Co/Ru adds another material interface and requires controlled deposition and Cu fill. Changing liners and barriers by metal layer allows Intel to optimize interconnect resistance, process complexity, and reliability. [15, 16] RibbonFET, Intel’s name for its gate-all-around FETs (GAAFETs), replaces the FinFET’s vertical fins with four stacked horizontal silicon nanosheets, allowing the gate to surround the channel on every side. The path to GAAFET begins with the planar transistor. A planar MOSFET places the gate above the channel between its source and drain. Pairing an NMOS with a PMOS transistor creates a CMOS inverter, in which the NMOS pulls the output low for a high input, and the PMOS pulls it high for a low input. The gate must retain electrostatic control of the channel to ensure clean switching. As gate lengths shrank, the drain began to compete with the gate for that control, increasing off-state leakage. Electrostatic control was restored through an architectural evolution that raised the channel into a vertical fin and wrapping the gate around three sides. Called “FinFET”, this new architecture packed more effective channel width into a smaller footprint. Further scaling made it harder to maintain both drive current and leakage within smaller cells, and reintroduced the same problems planar MOSFETs faced. Nanosheet GAAFETs close the fourth side by replacing the vertical fin with a stack of horizontal nanosheets, each surrounded by the gate. The tighter electrostatic control suppresses leakage at shorter gate lengths while stacking adds effective channel width within the cell footprint. In a FinFET process, channel width changes in discrete steps as designers must add or remove whole fins. Nanosheet width can instead be adjusted continuously within the process’s design rules. Wider sheets increase drive current, while narrower sheets reduce capacitance at the cost of drive current. Intel 18A uses stacks of four nanosheets each and varies their widths across logic and SRAM. At the process level, adding more sheets to each stack increases effective channel width and drive current, but complicates fabrication. RibbonFET vs MBCFET Samsung began GAAFET production in 2022 with SF3E, following with SF3 and now SF2. Its ‘MBCFET’ provides a useful structural comparison with Intel’s first RibbonFET implementation. [17] STEEL is digging deeper into SF2, used in the Exynos 2600, and TSMC’s GAAFET N2, used in Apple’s A20 Pro, in upcoming newsletter articles. We’re throwing some teasers on X. Let’s compare Samsung SF2’s MBCFET with Intel 18A’s RibbonFET. Subscribe Even to the untrained eye, Intel’s extra nanosheet is obvious. Intel stacks four ribbons to Samsung’s three. Samsung’s sheets are much wider in these fields, so both sheet count and width matter to the available channel perimeter. Sheet width also changes which silicon surfaces carry current. On conventional (001) silicon, wide nanosheets emphasize the broad top and bottom surfaces, favoring electron transport; the larger sidewall contribution in a narrow sheet favors hole transport. Thinner sheets improve gate control but increase confinement and scattering. This makes width and thickness part of the NMOS/PMOS balance, alongside strain and threshold voltage. [18], [19] GAAFET designs like 18A use different work-function-metal (WFM) stacks for NMOS and PMOS. Around each ribbon, a thin SiOx interfacial layer separates the silicon channel from the HfOx high-k dielectric, with La providing dipole tuning and the WFM wrapping the dielectric. NMOS uses a TiAl-based stack, while PMOS uses TiN WFM. W fills the remaining gate trench, providing a lower-resistivity path where the work-function layers are no longer needed. In this field, the PMOS stacks leave room for W between ribbons, while the NMOS stacks occupy more of those gaps. A silicon-based dielectric marks the P/N boundary, allowing the PMOS and NMOS gates, sharing the same gate trench, to be processed sequentially. Fast logic paths, retention circuits, and SRAM need a family of threshold options. Changing threshold without substantially changing device dimensions, capacitance or fabrication complexity is valuable. FinFET processes typically use different work-function-metal stacks. In a four-ribbon GAA stack, the narrow sheet-to-sheet gap limits how much WFM can fit around each channel. La in the gate dielectric creates interfacial dipoles at the SiOx/HfOx boundary, shifting effective work function and tuning threshold voltage. This gives Intel another control alongside its NMOS and PMOS WFM stacks. Low-threshold devices improve critical-path drive; higher thresholds reduce leakage elsewhere. Dipole tuning is especially useful in GAA because it changes threshold without consuming the narrow intersheet gap with thicker WFM. Precise control of La incorporation, diffusion and interface quality has long been a challenge, limiting viability in high volume production but is now seen from every leading-edge foundry. Intel’s patent describes depositing a dipole-forming oxide above HfOx and annealing it toward the interfacial oxide before completing the work-function and fill metals. This separates threshold tuning from the space available for metal. Newer research addresses the thermal cost: imec’s 2026 dipole-middle research inserts the shifter between two HfOx depositions, shortening the diffusion path while protecting SiOx during patterning. [20], [21]Matched-cut EDS, Intel 18A (left) vs. Samsung SF2 (right). Intel retains raised source/drain epi beneath its contacts, while Samsung recesses W deep into the epi to form a V-shaped Ti-lined interface. The deeper contact increases metal-to-semiconductor area and shortens the current path from the lower sheets, reducing contact and spreading resistance. It also removes epi volume and brings the contact etch closer to the channel ends. Retaining more epi preserves the material available for strain transfer, especially from SiGe into PMOS. These geometries balance contact access against stress engineering and etch margin. [22], [23] Samsung stacks three sheets to Intel’s four ribbons, and both processes use sheet width to tune drive strength. In our Samsung cross-sections, widths range roughly from 19 to 30 nm in the NPU rows and 37 to 50 nm in the CU cell. The Samsung nanosheets taper, with the widest sheet at the bottom and the narrowest at the top. Both processes use HfOx gate dielectric and Ti-based work-function stacks, with Al in the NMOS stack. In the Samsung devices shown here, the dielectric and WFM occupy the intersheet gaps, leaving W above the top sheet. Intel’s PMOS stack leaves more room between ribbons, and W fills those gaps while the thicker NMOS stack leaves W mainly in the upper trench. Gate-stack EDS maps. The W between Intel’s PMOS ribbons provides a conductive path close to the lower gates. Where WFM fills the entire gap, the gate still surrounds the channel, but voltage reaches it through the more resistive work-function films. Thinner WFM and dipole tuning preserve room for low-resistivity fill; Mo and Ru are alternative fill metals being developed for further scaling. [24] A masked, sequential WFM flow explains the different gate heights and inter-nanosheet fill. The proposed sequence below shows how separate NMOS and PMOS work-function steps produce that geometry. Enabled by the BSPDN process, Intel replaces the dense-logic silicon subfin with dielectric, removing the parasitic conduction path below the ribbons and reducing substrate-related capacitance. A retained silicon body as in classical, non-SOI, planar and FinFET designs needs junction and punchthrough-stop engineering to suppress leakage. Dielectric isolation makes that leakage less sensitive to the subfin doping profile but adds removal and fill steps. It also weakens the direct thermal path through silicon, making the contacts, metal stacks and package more important for heat extraction. [24], [26] Fluorine is concentrated around selected Intel device structures in the maps. WF6 is a standard precursor for W nucleation and fill, while barrier films protect adjacent dielectrics from fluorine attack. Low-fluorine W processes reduce the residual-F burden. Chloride-based precursors avoid introducing F during W deposition, but require control of chlorine attack, nucleation and fill quality. The integration target is a continuous, low-resistance W path with a thin protective liner and minimal chemical damage to the surrounding stack. [20], [27], [28] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. We measured cell height, gate pitch, metal geometry, and ribbon dimensions at the XTEM sites shown below. The tables group these dimensions by site and device polarity. Our “sheet cuts” cross the silicon channel and show the ribbons end-on. “gate cuts” run along the channel through successive gates. The 18A logic cell dimensions point to a five-track logic library while the N3E and Intel 3 cell dimensions evidence a seven-track logic library. The DDR-PHY uses wider M0 wires and much larger spacing than core logic. That trades routing density for lower wire resistance and weaker coupling between neighboring nets. The geometry suits the current delivery and coupling requirements of analog, clock, and I/O circuitry. PowerVia lets 18A combine a compact cell height with wider M0 geometry by moving the main power rails off the signal-routing tracks. That relaxes local wire scaling while preserving a small cell footprint. Cell height and gate pitch set the geometric density; pin access and routability determine how much of it a real block can use. [29] The biggest takeaway from our gate-pitch measurements is that Intel 18A compute logic and TSMC N3E GPU logic have similar density in the Bohr representative-cell model. The 18A example is 18.6% denser than the Intel 3 GPU example. Gate pitches are nearly identical across the three sites, so cell height drives most of the difference. The Bohr model combines a four-transistor NAND2 spanning three gate pitches and a 32-transistor scan flip-flop (SFF) spanning nineteen pitches, weighting their densities 60:40. The sensitivity column shows how independently changing cell height and gate pitch by ±1 nm changes the result. This compares representative cell geometries; whole-die density also depends on cell mix and placement. The 18A P-core gives M0 substantially more metal cross section than the N3E vector engine. Treating each profile as a trapezoid gives 2.63 times the area per line and 1.84 times the area after normalization by routing pitch. The larger section reduces the geometric contribution to line resistance and lowers current density for a given current. Taller and wider wires also add capacitance, so circuit delay depends on the balance of resistance and capacitance. The DDR-PHY has less metal area per routing width than the 18A core fields, while remaining above N3E. [30] Area = height × (top CD + bottom CD) / 2, including liners. Area/pitch normalizes by routing width. Taper is the symmetric sidewall angle from vertical, with the largest angle belonging to the DDR-PHY. Compute tile The measurements show how ribbon dimensions and gate-stack geometry vary across the compute tile and between NMOS and PMOS to balance channel drive, gate load and the space needed for the dielectric/WFM stack across logic, SRAM and the DDR-PHY. Width mainly changes available channel perimeter; thickness also changes electrostatic control and carrier confinement. Gate-stack thickness then determines the space left for low-resistivity fill P-core and LP E-core logic Both the P-core and LP E-core use multiple nanosheet widths. Widths are measured on high-magnification XTEMs while wider-field images demonstrate additional width choices within the LP E-core. Multiple widths are expected even within an LP E-core. Timing-critical paths, buffers and cells with different fanout need different drive strengths. The lower-magnification fields show this width diversity beyond the sites quantified in the table. L2 and L3 SRAM GAA gives SRAM designers another way to balance the pull-up (PU), pass-gate (PG), and pull-down (PD) transistors. FinFET bitcells set device strength through fin count while GAA adds nanosheet width as a sizing knob. In a 6T SRAM cell, a strong pull-down relative to the pass-gate limits read disturbance, while a strong pass-gate relative to the pull-up improves writability. During a write, the pass-gate and write driver pull the node storing “1” below the inverter trip point. During a read, the pull-down holds the node storing “0” low. Bias, threshold voltage, mismatch and assist circuitry set the remaining margin. FinFET high-current cells commonly use a PU:PG:PD fin-count pattern of 1:2:2, a device-sizing ratio rather than a current ratio. Ribbon width lets Intel balance SRAM strengths without adding whole fins. The L2 cell uses its narrowest ribbons for PU and widest for PD, improving writability and read stability respectively. Intel’s disclosed HCC operates without assist; its denser HDC uses negative-bitline write assist. Pulling the selected bitline briefly below ground increases pass-gate overdrive so it can overpower the pull-up at lower supply voltage. That buys density and low voltage writability at the cost of boosting circuitry, switching energy, and additional voltage stress that must be controlled. [31], [32] Four rectangular ribbons give the perimeter = 8 × (width + thickness), before corner rounding. PG/PU is 1.49 and PD/PG is 1.16. The L3 structures closely resemble L2 in layout and cell height. Fewer L3 nanosheet widths are tabulated because fewer high-magnification images were available. DDR PHY The DDR-PHY trades density for controlled analog behavior and reliable off-chip signaling. It contains drivers, receivers, delay circuits, and calibration logic that set drive strength, sampling time, and voltage margin. Repeated four-sheet devices with similar widths fit the use of regular transistor units for matching and programmable drive. Its wider local wiring provides room for current delivery and separation of sensitive signals, while consuming more area than a dense core-logic grid. The layout serves the memory channel’s electrical requirements as well as digital logic density. [33] The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page. Intel 3 GPU devices Vector engine logic Intel 3’s XVE logic uses two-fin PMOS and NMOS devices with power rails in M0. Its cell height and M0 pitch give a seven-track geometry, two tracks more than the 18A logic. One-fin groups also appear among the two-fin devices. Intel 3 L2 SRAM The Intel 3 L2 SRAM uses the familiar HCC sizing pattern: one PU fin, two PG fins, and two PD fins. N3E GPU devices Vector engine logic The N3E XVE field contains repeated two-fin devices with seven-track cell geometry. N3E remains a FinFET process, giving Panther Lake a direct FinFET-to-RibbonFET comparison. N3E L2 SRAM The N3E L2 SRAM uses the same PU:PG:PD fin-count pattern of 1:2:2. Panther Lake-U follows Lunar Lake’s floorplan quite closely. Both pair 4 P-cores with 4 LP E-cores and NPU, media and display engines in similar locations. Lunar Lake also uses Xe2, the direct predecessor to Panther Lake’s Xe3 GPU. This makes Lunar Lake the most direct basis for our comparisons. Arrow Lake differs in core count and uses the older Xe-LPG GPU architecture, so we only use it where it offers a more direct component-level comparison. Compute tile Panther Lake compute-tile floorplans remain sparse even months after launch. Intel 18A’s backside metal and dielectric stack must be removed without damaging the underlying structures before a clean transistor-level floorplan can be imaged. Most published die shots hide or heavily process the background, but we are quite proud of the die shot we achieved and are excited to show the work we have done. We measured the areas of the key components on the compute tile and compared them with their Lunar Lake predecessors on TSMC N3B. These help us to capture changes in block area and compare the two chips across process nodes and designs. Our total tile areas exclude the scribe-line area. The compute-plus-GPU subtotal below uses the PTL-U compute tile and GT1 GPU; it excludes the I/O tile and passive base. Individual block areas use the boundaries marked on the floorplans The compute-plus-GPU row is recomputed from the displayed PTL-U and GT1 areas. Component rows use their stated per-region counts and are not an additive partition of the whole tile. The P-core area remains almost unchanged between Lunar Lake and Panther Lake, despite L2 capacity increasing from 2.5 MiB to 3 MiB. Arrow Lake uses the same Lion Cove core as Lunar Lake but also has a 3 MiB L2. Cougar Cove fits 20% more L2 into the same P-core area. The larger private cache keeps more of each core’s working set close to its execution units, reducing access to shared L3 and DRAM. Extra capacity adds storage leakage and lookup energy, so designers balance it against avoided lower-level accesses. The shared P-core L3 cache also shrank by 14.8%. [2] Cougar Cove combines a similar footprint with Intel’s reported power-efficiency improvements. RibbonFET’s tighter channel control reduces leakage, while PowerVia reduces supply droop and allows tighter voltage guardbands. [1] Darkmont’s four-core LP E-core cluster is 5.0% smaller than Skymont’s on Lunar Lake, with most of the reduction in its L2 regions. The 1 MiB region shrank by 8.4% and the 1.5 MiB region by 14.9%. The tag arrays also use one fewer visible row. Tags identify which memory addresses the data array holds, so rearranging them changes the cache’s layout and wiring without requiring less data capacity. [2] The LP E-cores share one L2. This pools capacity and avoids duplicating all the cache machinery, but the four cores contend for its banks and bandwidth. Their separate cluster also keeps light work away from the performance cluster and its L3, allowing that larger domain to sleep. [1], [2] Cache area includes more than the storage cells. Tags identify each line, decoders select rows, sense amplifiers read the small bitline signal, and wires connect to the banks. Splitting an array into smaller sections shortens wordlines and bitlines, improving access speed, but duplicates peripheral circuits. Panther Lake’s smaller cache regions therefore reflect the complete memory implementation, including how much of each region is devoted to storage. [34] Unlike Meteor Lake and Arrow Lake, Panther Lake has no separate SoC tile. The NPU, LP E-cores, memory controllers, PHYs, media and display engines now share the compute tile. This removes an active die and keeps CPU memory traffic on one die. The cost is moving PHY and I/O-related circuitry onto 18A: drivers, receivers and analog circuits must still meet external voltage, loading and signal-integrity requirements, so their area does not shrink like dense digital logic. [1], [2] The biggest shrink comes from the NPU, which occupies 36.9% less area. NPU 5 consolidates the same total INT8 MAC count into half as many neural compute engines. Each of the three NCEs has a larger MAC array to make the complete NCE envelope 22.6% larger than an NPU 4 engine. Consolidation also halves the number of scratchpads and SHAVE DSPs, from 12 to 6. The MAC array handles matrix multiplication and convolution, while SHAVE executes vector and custom operations that fit the array poorly. [1], [2], [35] The paired floorplans identify each NCE envelope and its scratchpad, MAC, and SHAVE regions. Each measured MAC polygon is counted once per NCE in the area accounting below. The scratchpads store weights, activations, and intermediate results near the MAC arrays, allowing repeated use without fetching them again from DRAM. Halving their number delivers the largest measured area saving but leaves less local storage for the same total MAC count. Layers that no longer fit locally require smaller working tiles or more transfers of intermediate data. The benefit depends on keeping the enlarged arrays busy while managing that tighter storage budget. [36] NPU 5 also adds native FP8. Using half the operand width of FP16 reduces storage and transfer demand, helping workloads fit the smaller local memory budget. Lower precision and format-dependent range make scaling and model validation part of deployment. Hardware activation functions further reduce work that would otherwise occupy the programmable DSPs. [1], [2] Microsoft requires an NPU to deliver at least 40 TOPS for Copilot+ PCs. Both Lunar Lake and Panther Lake meet this threshold, but Panther Lake uses significantly less silicon. GPU tiles Panther Lake is Intel’s first product with Xe3, its latest GPU architecture. It offers two different GPU tiles: a smaller GT1 tile with 4 Xe3 cores on Intel 3 and a larger GT2 tile with 12 Xe3 cores on TSMC N3E. Panther Lake allows us to compare the same GPU architecture across both Intel 3 and TSMC N3E. Wildcat Lake adds a third Xe3 implementation on Intel 18A. A future newsletter will detail Xe3 and its implementation differences across all three process nodes. GT2 scales Xe3 to a different physical layout, with render slices arranged vertically instead of GT1’s horizontal arrangement. Slice placement sets the distances to shared cache banks and the D2D interface. Those wires consume area and add delay, so scaling the number of Xe cores also requires a new balance of cache placement, routing and timing. [1] What’s immediately obvious is that the GT2 tile on TSMC N3E has much smaller Xe cores than GT1. These block areas include logic, caches, and routing. An Xe core on the GT1 tile is ~69% larger than one on Lunar Lake, and ~55% larger than one on GT2. Intel 3 therefore uses substantially more area per Xe core. The block-area gap exceeds the measured logic and SRAM density gaps, bringing routing, timing targets, cell mix, and floorplan allocation into the comparison. The measured vector/matrix engine region is almost unchanged between Lunar Lake and Panther Lake’s GT2 tile. Xe3 retains eight 512-bit vector engines and eight 2048-bit XMX engines per core. Its gains also come from feeding those engines more effectively: more resident threads hide stalls, and variable register allocation lets shaders trade registers per thread against the number of threads kept active. [1] The shared L1/SLM capacity increased by 33% from 192 KiB to 256 KiB, while its area increased only 5%, raising effective density by 27%. L1 retains reused cache lines, while software-managed SLM lets a thread group share data locally. Both reduce traffic to more distant memory. Allocating more SLM per group can also limit how many groups reside on a core at once. [1], [37] The GT1 tile carries 4 MiB of L2 against 16 MiB on the GT2 tile. GT1 divides its L2 cache into four 1 MiB banks, while GT2 uses eight 2 MiB banks. Each bank contains 128 macros, but each N3E macro stores 16 KiB, twice the Intel 3 macro’s 8 KiB capacity. The N3E macro is only 54% larger while holding twice as many bits, giving it 30% higher density: ~23.7 Mbit/mm² versus 18.3 Mbit/mm². Including bank-level circuitry, the gap widens to ~16.9 Mbit/mm² on GT2 versus ~10.4 Mbit/mm² on GT1. GT2 gains density with its macros storing more bits per unit area, and those macros occupy more of each cache bank. Larger macros spread decoder and sense-amplifier overhead across more storage, while a more compact bank layout reduces the share spent on control and routing. The compromise is longer wordlines and bitlines that carry more capacitance. [34] I/O tile Panther Lake uses two I/O tile variants, both fabricated on TSMC N6. The smaller one provides 4 PCIe 5.0 and 8 PCIe 4.0 lanes and serves lower-tier systems as well as those without a discrete GPU, while the larger one adds 8 PCIe 5.0 lanes, bringing the total to 20 lanes, for discrete-GPU connectivity. Panther Lake SKUs with the larger 10- or 12-Xe GPUs use the smaller I/O tile. [38] The smaller I/O tile adds a PCIe 4.0 block and a Thunderbolt block to Lunar Lake’s I/O layout, providing four additional PCIe 4.0 lanes and another Thunderbolt 4 port. Its repeated N6 blocks retain nearly identical areas and layouts. Reusing these proven PHYs and controllers avoids porting and requalifying external interfaces on 18A, where faster digital logic offers less benefit to circuits constrained by the off-chip link. [38] SemiAnalysis’s teardown lab (STEEL) dives deep into the world’s advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. We’re hiring technical experts from system to transistor and everywhere in between. Check out our Careers page. Panther Lake offers scalability and modularity through its disaggregated packaging that partition compute, GPU, and I/O silicon into separate tiles allowing for a suite of tile configurations. This partitioning makes the package part of Intel’s node economics as it determines how much leading-edge wafer area each product consumes, which functions can remain on other processes, and how much configuration freedom Intel can offer from a shared set of tiles. Furthermore, fabricating the compute and GPU tiles separately confines the new 18A process to the compute tile and allows graphics and I/O to use other, more established, and more cost-effective processes. For Panther Lake, the GPU and I/O tiles are assembled alongside the compute tile on a passive silicon base using Foveros-S. Intel’s current technology brief lists a nominal 36 µm pitch for Foveros-S. Through-silicon vias (TSVs) in the base connect the fine wiring above to the larger package connections below. The functional tiles sit side by side on that passive base in a 2.5D configuration. [39] Our cross-section through the compute and GPU tiles shows the package’s wiring hierarchy. Microbumps connect each active tile to the passive silicon base; its fine redistribution layer (RDL) carries the short, dense tile-to-tile links. TSVs carry connections through the base to the package substrate, which fans them out to the much coarser motherboard solder joints. The base supplies interconnect, while computation remains in the active tiles above it. [39] At the compute-tile edge, the higher-magnification inset shows a local microbump spacing of approximately 25.24 µm and a feature width of 12.33 µm. These local spacings are finer than Intel’s nominal Foveros-S value. The X-ray fields further confirm tighter neighboring bumps, consistent across every die-to-die area found on each tile. Additional X-ray analysis is offered after the paywall. Putting the memory controller beside the CPU removes the D2D transfer that CPU memory requests required in Meteor Lake and Arrow Lake. This avoids the extra transmitter, receiver, and link traversal, saving interface energy and latency. Panther Lake’s separate GPU still crosses a D2D link to reach DRAM, so its larger local caches also help contain package traffic. [1], [40] Smaller dies are less likely to contain a random fatal defect, and screening them before assembly prevents one bad tile from consuming a complete package of good silicon. Reuse also spreads design and qualification work across more products. Against those gains, Intel pays for the passive base, D2D circuits, extra bonding and test steps, and losses during assembly. Cost per working product across the portfolio captures the combined effect of wafer yield, reuse, test, and assembly. [29] Wildcat Lake packaging Intel launched Core Series 3, formerly Wildcat Lake, on 16 April 2026 for value mobile and edge systems. Wildcat Lake keeps 18A but removes the passive base and combines more functions on one die to simplify the package. The two products therefore reveal two distinct ways to commercialize the same leading-edge process. [41] Wildcat Lake’s 18A die combines up to two Cougar Cove P-cores, four Darkmont LP E-cores, two Xe3 cores and a smaller NPU. A separate platform-controller die supplies I/O, connected through UCIe, Intel’s first processor implementation of the standard. Consolidating graphics remove a tile boundary and the passive base, reducing assembly complexity for a modest-bandwidth value product. It also ties CPU and graphics scaling to the same die, giving up Panther Lake’s ability to swap in a much larger GPU. [42], [43] In July 2021, Intel CEO Pat Gelsinger set out an ambitious process roadmap aimed at regaining performance leadership by 2025, later described as five nodes in four years. Five years and one CEO later, Intel’s comeback story is not as unambiguously positive as Pat may have hoped. [44], [45] Intel once set the pace for process technology, bringing high-k metal gate technology and FinFETs into volume production years ahead of the rest of the industry. Its 22 nm FinFET process reached consumers with Ivy Bridge in 2012. [46] Intel’s integrated device manufacturing (IDM) model allowed its architects and process engineers to co-optimize products and processes. Starting with Sandy Bridge, Intel dominated x86, while AMD struggled with Bulldozer. That lead faltered at 14 nm and broke at 10 nm. Intel targeted a massive 2.7× density increase, but the node arrived years late and required several revisions before it could support Intel’s full lineup. This delay forced Intel to stretch 14 nm across six generations, while TSMC moved ahead in process technology and AMD recovered in x86. By 2019, Intel was still shipping 14 nm across most of its product stack, with its 10 nm client ramp focused on Ice Lake mobile processors. Meanwhile, TSMC was shipping N7 and N7+, and AMD’s Zen 2 compute chiplets used N7 to raise core counts and improve efficiency. Intel’s process failures were central to its decline, but unsound business decisions furthered their downward slide. Product delays compounded product mistakes, pushing client, server, and FPGA roadmaps off schedule. Several attempts to enter AI (Nervana and Gaudi) and networking (Tofino) also failed to establish lasting businesses. Intel’s recovery has focused on consumer CPUs and advanced packaging. Tiger Lake, Alder Lake, Lunar Lake and now Panther Lake have restored Intel’s consumer roadmap. On the process side, Intel 4 shipped with Meteor Lake, Intel 3 with Granite Rapids and Sierra Forest, and Intel 18A with Panther Lake. Intel has also made advanced packaging part of its foundry offering. However, Intel is still playing catch-up in servers. Several Xeon generations arrived years late and trailed contemporary AMD and Arm server CPUs in performance, efficiency, and core count. The process roadmap is back, but Intel does not hold the same process-technology leadership position it held prior to 10 nm. The introduction of gate-all-around nanosheets and backside power delivery are two of the biggest changes to transistor integration in a decade. Intel took on both changes at once: 18A paired its first RibbonFET with PowerVia in Panther Lake. Panther Lake is a substantial manufacturing milestone. Our cross-sections show how RibbonFET and PowerVia reshape local contacts and wiring, while the floorplans show where architectural consolidation and process choices save area. A sustained competitive lead depends on product performance, cost, yield, and the next implementation. The SemiAnalysis STEEL teardown lab breaks down advanced datacenter and AI hardware. To learn more about our pipeline or to commission a teardown, contact sales@semianalysis.com. WE’RE HIRING: Architecture, floorplan, packaging, manufacturing, and labs experts. Opportunities from system to transistor and everywhere in between. Check out our Careers page.. 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Subscribe TL;DR: Younger generations are showing signs of worse health compared to earlier-born cohorts at the same age This backward “drift” is showing up both in mortality risk and chronic disease Worsening trends in obesity and diabetes are the most consistent signals Taking the long view, we’ve made astonishing gains in health and life expectancy in the last century. Global average life expectancy has more than doubled from 32 years in 1900 to 73 years in 2024. (But don’t forget, there were still old people when life expectancy was 32). As people lived longer, they also generally lived healthier along the way. It turns out that avoiding things that can kill you early, like malnutrition and lots of childhood infections, also keeps you healthier later in life. In a classic 2004 paper, Finch and Crimmins proposed that cohorts of children who benefited from fewer early life infections had less lifetime exposure to inflammation and cardiovascular disease later in life, accelerating mortality improvements at older ages. Poor nutrition in the womb has also been linked to a higher risk of later chronic disease. The upshot is that improvements in childhood health can pay dividends many decades later. The combination of better living conditions (nutrition, sanitation) and medical advances (antibiotics, vaccines, blood pressure meds, etc) meant that people’s healthy lifespan generally expanded, even as they lived longer. Aging researchers call this best-case scenario “compression of morbidity”—meaning we delay the onset of disease and disability even faster than the years of life we are adding. During my 20+ year research career, we could generally bank on the idea that younger generations would not only live longer but also keep getting healthier along the way. “60 is the new 50” as they say… Enter “Generational Health Drift” Sadly, this expectation of steady progress may be changing. You’ve probably heard that US life expectancy gains have slowed to a crawl in the past couple of decades. Mortality improvements are also slowing (though less dramatically) in many other high-income countries (you can read more about that in a review paper I wrote here). Mortality is a very blunt health measure, but it is often a good barometer for the broader population health trends happening underneath. And we are now seeing that younger generations may be in worse health at similar ages compared to earlier born cohorts. My collaborator Prof. George Ploubidis at University College London coined this worsening health in more recently born cohorts “generational health drift.” “Generational health drift” is bad news on multiple fronts. Most obviously, we don’t want our health progress to go backward. But the timing is also bad, since our populations are aging. In demographic terms, “population aging” means that the proportion of the population at older ages (i.e >65 years) is increasing. Fun demography fact: Current population aging is not due to the recent declines in the birth rates making the news, but declines in fertility decades ago, after the “baby boom.” As baby boomers reach older ages, the smaller cohorts behind them mean the percentage of older adults will increase. For example, the share of the population age 65 and older in the US increased from 12.4% in 2004 to 18.0% in 2024. This story of population aging was written long ago. Many worry that population aging will put pressure on health care and pension systems. But if people reach older ages in better health than in years past, those fiscal pressures would be less dire than projected. Healthy older people can also continue to contribute to society in many valuable ways, including paid work, caregiving, community service….even high political office 🤷. On the flip side, if younger generations reach retirement age in worse health and with more disabling conditions, this could magnify the societal challenge of population aging. Evidence for worsening generational health A recent paper that I LOVED in the Proceedings of the National Academy of Sciences by Dr. Leah Abrams and colleagues examined which birth cohorts (aka generations) were behind worsening US mortality. Behold the Lexis diagram (cue swooning demographers). Calendar time is on the x-axis, age on the y-axis. Birth cohorts can be followed over time as they age on the diagonal lines moving up and to the right. This figure plots the year-on-year % change in all-cause mortality at a given age. Green shading indicates mortality improvements over time, white is stagnation, and gray shading indicates worsening mortality. Following the diagonal line for those born in 1950, you can see a noticeable shift from green to gray that follows this cohort for most of their lives. This gray shading shows generally worsening mortality for the 1950 to 1959 birth cohorts compared to their predecessors across all ages. Concerningly for my GenX and elder millennial peeps, there was also a deterioration in mortality for birth cohorts born in the 1970s and 1980s, visible as dark gray areas at ages 30 to 45 during the 2010s. While some of these mortality changes reflect specific shocks such as the opioid epidemic, most deaths still occur from major causes of death such as cardiovascular disease and cancer. For cancer, the gray in the top left corner of the figure below reflects the legacies of smoking for older cohorts, followed by a period of green with improvements in cancer mortality as smoking rates declined. But the white/gray shading in the bottom right corner highlights a stagnation and reversal of the cancer trends, with cohorts born around 1970 to 1985 experiencing worsening cancer mortality. This deterioration was most noticeable for colon cancer mortality, possibly linked to obesity or dietary factors. Not just dying more, but less healthy along the way. A recent paper by Dr. Laura Gimeno of University College London (of which I am a co-author), found evidence that more recently born cohorts in Great Britain have stagnating or worsening health. A stylized picture of what“generational health drift” might look like: The review paper found: Rates of childhood overweight and obesity were highest among Gen Z. Rates of diabetes in the 40s almost doubled from 3.1% among the Baby Boomers to 5.9% in Generation X. Gen Z reported higher rates of poor mental health in adolescence compared to earlier-born groups. These UK results are consistent with studies showing worsening health across generations in the US as well. A 2021 US study found that more recently born cohorts had worse biological markers (like blood pressure and blood sugar) than earlier generations at the same age. A separate 2022 study of Americans aged 50 and over found that more recently born generations had a higher number of chronic diseases, with younger age of disease onset. A 2024 Lancet paper found that in the US, women born in 1945 had 33% obesity prevalence at age 50, rising to 48.2% for women born in 1970 turning 50. So what’s going on, and can we turn it around? We don’t have a definitive answer for what’s causing the deteriorating health of younger cohorts, but circumstantial evidence points to worsening trends in obesity and diabetes in both the US and UK. Remember that cohort trends reflect lagged effects of early environments, and younger generations have faced both earlier onset and more severe obesity across their lifetimes. Despite these very concerning trends, the future is not set in stone. We’ve reversed poor generational health trends before: drops in smoking are a major reason cancer and heart disease deaths fell so dramatically in recent decades. GLP-1 drugs may finally turn the tide against rising rates of obesity and diabetes, though it is still early days. But things could also get worse…for example from a return to higher levels of childhood infectious diseases that can have a lasting impact on health. See for example: [ ](https://jenndowd.substack.com/p/dont-you-forget-about-measles-the) [ Don’t You Forget About Me(asles): The Virus That Erases Immune Memory ](https://jenndowd.substack.com/p/dont-you-forget-about-measles-the) Jenn Dowd, PhD · March 24, 2025 [ Read full story ](https://jenndowd.substack.com/p/dont-you-forget-about-measles-the) Even as an optimist, emerging data on the “generational health drift” has my full attention. For most of my research career, we took it for granted that each generation would be healthier than the last. But if present trends continue, **50 could be the new 60….**and Gen Z celebrities will soon look older than Paul Rudd :). Stay well, Jenn Share the Health! If you found this post useful, please share it with a friend. Share
The show must go on: struggling luxury brands seek catwalk boost in Milan and Paris
Glitzy runway shows by the world’s biggest fashion brands in Milan and Paris mask a worrying picture for luxury executives behind the scenes: a slowdown that appears to be getting worse as war in the Middle East rages on.
Drought and state neglect deepen health crisis for Peru’s recently contacted Matsés
A worsening convergence of drought driven by climate change, epidemic disease, and state neglect is creating a severe health emergency for the Indigenous Matsés people in the Peruvian Amazon. Mongabay staff writer Aimee Gabay traveled to Matsés territory to investigate the environmental threats to the region. Instead, she found Matsés communities suffering from severe outbreaks […]
Planetary Health Check 2026 finds mounting pressures across Earth's life support systems
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Why politicians should pay more attention to the polls (reprise)
Welcome to the 231st edition of The Week in Polls (TWIP), a polling newsletter that always welcomes new readers. So please don’t keep TWIP a secret; share it with your friends and colleagues: Share The Week in Polls With all the stories swirling around Reform, JL Partners and political polling, I am finally tearing myself away from talking about the regulation of polling this week - and instead re-running a previous piece reminding us why the solution to problems with polls isn’t simply to ban or ignore them. Rather, we need them to play a vital role in making our politics - and politicians - better. This is followed by summaries of the latest national voting intention polls, seat projections from MRPs and the most recent party leader ratings. Subscribers who pay for the full edition can also read ten insights from the latest polls and analyses, including: A trio of organisations and a pair of professors have been casting their eyes over the Liberal Democrats ahead of the party’s autumn conference; What impact did the summer heatwave have on views on climate change? and Which wins out between chocolate and cheese? If you are not yet a paid subscriber, you can read all ten by starting a free trial now: Get FREE 7-day trial For more polling news as it comes in ahead of next week’s edition, you can also follow The Week in Polls on Bluesky. Picking up on my doubt last week about whether or not 35% of British train travellers have tried to order a takeaway for delivery to a railway station or carriage, thank you to reader Iain, who has been in touch to say he has done just that… in India. Another quick pair of updates, this time on the controversies around Reform and polling. Politico has a further scoop - “Farage aide caught in donor sting attended Egypt retreat with JL Partners” - and Ian Dunt has written about the problems with polling too: “Seeing the response of many polling experts in the last few weeks suggests that they are nervous about what is happening and keen to mitigate against it. Seeing the response of journalists, which has been basically non-existent, suggests the precise opposite.” My usual reminder as well: please do hit reply if you’ve spotted a poll, focus group or new piece of poll-based research that you think should be in contention for coverage in a future edition. Thank you! And with that, on with the show. How politicians get public opinion wrong I have written before about the benefits that come from widespread availability of high-quality political polling. We need more polls and more good coverage of polls. However, what I’ve not dug into before is the research into how accurately politicians estimate public opinion on issues. Thankfully we have academic research to tell us. First, the bad news: We present results from a study of 866 politicians in four countries.1 Politicians were asked to estimate the percentage of public support for various policy proposals. Comparing more than 10,000 estimations with actual levels of public support, we conclude that politicians are quite inaccurate estimators of people’s preferences. They make large errors and even regularly misperceive what a majority of the voters wants. Politicians are hardly better at estimating public preferences than ordinary citizens. Walgrave, S., Jansen, A., Sevenans, J., Soontjens, K., Pilet, J.B., Brack, N., Varone, F., Helfer, L., Vliegenthart, R., van der Meer, T., Breunig, C., Bailer, S., Sheffer, L. & Loewen, P.J. (2023a), “Inaccurate Politicians: Elected Representatives’ Estimations of Public Opinion in Four Countries”, The Journal of Politics, 85(1): 209-222. The bad news is not quite as bad as that makes it sound because, when asked whether the majority of public opinion was for or against various policies, politicians picked the wrong option ‘only’ 29% of the time. However, this included getting it wrong even when public opinion is far from evenly split on an issue: They do not only get it wrong when the public is divided and hard to read (e.g., when there is a 51%:49% distribution). Seventy percent of the misplacements occur for policies with a relatively clear distribution of at least 60% (dis)agreeing citizens. Moreover, the public scored only slightly worse than politicians, picking the wrong option 2.7 out of 8 times on average, compared with 2.3 times for politicians. Turning to the other measure of accuracy (not which side is in the lead but what the percentage support is for each side), politicians on average were 18 percentage points out in their guesses. Again, this was only slightly better than the public, whose error came in at 21 percentage points.2 Further research, using the same mix of countries, gives a little more comfort about how (in)accurate perceptions are: We show that politicians have a better understanding of public opinion when they think the issue matters to voters. Further, when an issue is personally important to politicians they more accurately estimate their party supporters’ opinions. The results confirm that politicians hold more accurate perceptions of voters’ preferences when they think it is important to do so but not necessarily when the issues actually are important to voters. Butler, C., Walgrave, S., Soontjens, K. & Loewen, P.J. (2024), “Politicians are better at estimating public opinion when they think it is more salient”, Party Politics: 1–13. Even so, it’s not a good picture. The remedy for this? Politicians should spend more time reading the polls. So forward this newsletter to someone you know… Share For a more general argument against banning polls, see my 2024 piece. Is “Let Bartlet Be Bartlet” good advice or not? The latest episode of my Political Fictions podcast heads across the Atlantic for a dip into one of the political TV classics: Mark and Cory talk about a giant of American political drama for the first time this week, as they tackle The West Wing. They talk about Let Bartlet Be Bartlet, the nineteenth episode of series one. In it, Mark wonders if The West Wing is actually the epitome of the “Boris Johnson school of politics”, Cory outmanoeuvres Mark into confirming we will record a Christmas Special about Love, Actually and they debate whether the central message of this episode has been misunderstood. Cory’s email newsletter is Paperback Rioter and Mark has a family of email newsletters. Subscribe to our newsletter for some additional bonus content and to get alerted whenever a new episode comes out. Our theme tune is “Monkeys Spinning Monkeys” by Kevin MacLeod/incompetech.com and licensed under the Creative Commons: By Attribution 4.0 License. You can also listen to our episode on Apple Podcasts, Spotify, the web or YouTube. Elsewhere from me… [ A Lord's Eye View How to fix the problem of money in our politics Welcome to my latest update on work in the House of Lords. This time I am taking a look at how our political system is regulated, and the protections we need to keep democracy safe from becoming simply a contest to see who has the biggest bank account… Read more 5 days ago · 3 likes · 2 comments · Mark Pack ](https://lordseyeview.substack.com/p/how-to-fix-the-problem-of-money-in?utm_source=substack&utm_campaign=post_embed&utm_medium=web&embedding_publication_id=1269283) If you spot a factual error… Borrowing an idea from Stuart Ritchie and others, if you spot a factual error in an edition of this newsletter, I will give you a free 12-month subscription to the paid-for version (or an extra 12 months on your existing one). Factual errors qualify, but grammatical errors or disagreements over interpretation do not, and my decision is final. Messages about both of those are always welcome, though. Voting intention and leadership ratings Here are the latest voting intention polls from different pollsters. It is all pretty static at the moment, with a small and consistent Labour lead in nearly all the polls. The table is also online here, along with explanations about what is included. It is updated regularly throughout the week as new polls are released. Next are the seat projections from MRPs, also sorted by fieldwork dates, listing those which are based on dedicated fieldwork (rather than models based on averages of other polls). Because such MRPs are published infrequently, some of the entries below are quite old. Finally, here is a summary of leadership ratings, with a graph from PollCheck: Detailed numbers from the latest polls are online here, and both that and the graph are updated regularly throughout the week as new data comes out. For historical figures on both voting intention and leader approval stretching back to the 1930s, including Parliamentary by-election polls, see PollBase. Catch up on the previous two editions [ ](https://theweekinpolls.substack.com/p/a-crisis-point-for-political-polling) [ A crisis point for political polling Sep 13 ](https://theweekinpolls.substack.com/p/a-crisis-point-for-political-polling) [ Read full story ](https://theweekinpolls.substack.com/p/a-crisis-point-for-political-polling) [ ](https://theweekinpolls.substack.com/p/extra-questions-about-the-polls-in) [ Extra questions about the polls in Reform’s funding scandal Sep 6 ](https://theweekinpolls.substack.com/p/extra-questions-about-the-polls-in) [ Read full story ](https://theweekinpolls.substack.com/p/extra-questions-about-the-polls-in) My privacy policy and other legal information are available here. Links to purchase books or other items are usually affiliate links which pay a commission for each sale. Quotes from social media messages are occasionally lightly edited for punctuation and clarity. If you are subscribed to other email lists of mine, please note that unsubscribing from this one will not automatically remove you from the others. If you wish to be removed from all my lists, simply reply to this email to let me know. A quintet of Lib Dem polling analyses, and 9 other polling insights you shouldn’t miss The following ten findings from the most recent polls and analyses are only for subscribers who pay for the full edition, but you can sign up for a free trial to read them straight away. Ahead of the start of Liberal Democrat conference, we have a trio of organisations and a pair of professors with pieces out about Ed Davey’s party:
Charles’ Health Gets Negative Update as Sources Reveal the 1 Thing Sparking ‘Serious’ Concern with Camilla
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4 Habits That Make Brain Fog Worse, According to Mental Health Experts
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Efforts to silence 'NAZA' filmmakers, Macklemore only amplifies them
“NAZA” may not need a robust marketing plan if the Israeli government continue to condemn the film. Censorship, and worse, are the surest way to elevate an artist and their work. Just ask Macklemore.
‘COVID 2.0’: Lawmakers push back on sweeping health 'police power' in key battleground state
Pennsylvania lawmakers told Fox News Digital the state's 502-page health code rewrite amounts to government overreach worse than COVID-era lockdowns.
Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
Brighton's Unbelievable Cup Draws Keep Getting Worse
Fabian Hürzeler’s side faces a grueling ten-day road trip, culminating in a daunting double-header against the Premier League champions amid a relentless run of difficult cup draws.
Firstborns tend to do better in life. The reason has surprised scientists.
Being born second (or third or fourth) can cost you — literally. For decades, scientists have been asking why younger siblings get less education, have worse mental health and earn less, on average, than firstborns. Thanks to the records of 1.2 million Danish children, they finally have an answer.
Five Plays: Villanova Wildcats Second Quarter
Louisville couldn’t have had a worse start to the second quarter against Villanova, but I’m happy to try to explain why that was. The Cards have some things to fix, but we started to see how well this team can adjust on the fly as well as how athletic this team is on both sides […]
Official Juventus team to face NEC Nijmegen
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Can researchers trust that AI models won’t leak their ideas?
Research funders are asking how they can stop confidential scientific ideas in grant proposals from leaking out through large language models (LLMs), for example if reviewers use AI to help them judge applications. Last week, a row erupted in mathematics after OpenAI announced it had solved a notoriously difficult problem, only for another mathematician to demand answers over whether the company had used ideas he had fed into its models. The spat, and the broader issue of idea leakage through AI models, was discussed by funders at an R&D policy conference held in Paris on September 14. At worst, it threatens to undermine the correct attribution of breakthroughs, one of the foundations of modern science. The mathematics dispute around OpenAI is “certainly something we're looking at” Jason Gallo, head of the newly established Office of Metascience at the US National Science Foundation (NSF), told the Blue Sky Forum, hosted by the Organisation for Economic Co-operation and Development. The controversy started on September 8, when OpenAI announced it had cracked a mathematical problem that had gone unsolved for 90 years. Using a swarm of AI agents, millions of dollars’ worth of computing power and a new internal model, the company said it had finally proved that a long-used formula for modelling fluid dynamics breaks down under certain conditions. However, Tristan Buckmaster, a New York University mathematician who had been independently working with collaborators on the same problem using OpenAI’s Codex tool, hit back with a statement questioning whether the company had snooped on his Codex sessions to gain an advantage. OpenAI has always denied it looked up the “specific user data” of Buckmaster and colleagues. However, the company initially admitted that “while unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models,” although its proofs “differ significantly” from Buckmaster’s. The firm later said that, following an investigation, it concluded that Buckmaster’s Codex prompts “could not have influenced the [OpenAI] system in any way, including through training.”Funder concernYet OpenAI’s initial admission that its model might have ingested Buckmaster’s ideas, then spat them out to its own mathematicians, has scientistsworriedthat their work could leak out if shared with AI. Some AI tools give users an opt-out option to stop their sessions from training the model. If such guarantees can be trusted, this gives scientists some confidence they can use an LLM to develop an idea without the risk of it leaking out.But there’s a bigger potential vulnerability. To win money to investigate ideas, scientists have to share them with funding bodies. These grant proposals are normally kept strictly confidential, to prevent other scientists from scooping them, or to protect commercially valuable intellectual property. To preserve this confidentiality, when the NSF uses AI models, “we have to be sure that it's not making server calls out to an external party, leaking that data,” said Gallo to delegates in Paris. Leaks through reviewersHowever, funders normally use external academic reviewers to assess proposals. And there are growing worries that these reviewers are feeding grant ideas into AI models to help them make a judgement. Research funders have noticed that peer review reports and funding recommendations have “suddenly become much longer, more detailed and complex,” said Diogo Machado, head of the data science unit at Technopolis, a science and technology-focused consultancy. “The sense is that reviewers are increasingly using generative AI in their review work, even where guidelines sometimes forbid it,” he told Science|Business. “This is very difficult for funders to control or prove.” Happening at scaleThis sharing of confidential proposals with AI models is “happening at scale already,” said James Wilson, executive director of the Research on Research Institute, based at University College London, during the debate in Paris. In response, Gallo said the NSF had “strict guidance” around the uploading of proposals to AI models. But he added the NSF was mulling new types of assessment to make sure applicants were truly the originators of their ideas, such as following a short-form proposal with an oral presentation, which would allow the foundation to “really interrogate the investigator on their intellectual contribution.” Related articlesHow can Europe cope with a flood of AI-assisted research grant proposals?The risks and benefits of AI in screening research grant proposals Viewpoint: AI could make scientific overload worse“For us as funders, a lot of the ways to ensure that the application remains the applicant's own intellectual contribution, those ways are quite regressive,” Peter Clifford, head of strategy at Research Ireland, told delegates. “They're maybe ten or 15 or 20 years old, and they don't scale particularly well.” Disputes over the origin of ideas are as old as modern science. Isaac Newton and Gottfried Wilhelm Leibniz spent more than a decade arguing over who invented calculus, for example. And long before LLMs emerged, academics would agonise over how much of their early work to reveal at conferences, in case their colleagues scooped them, Jack Leahy, a senior metascience advisor to the UK government, told delegates. But AI was “accelerating” the “problems of the system,” he said.
What Does the Science of Climate Change Really Look Like?
Editor’s Note: This is the second in a three-part series on how the Right should think about environmental and climate policy. Read Chris Barnard on Reclaiming Environmental Policy from the Left. More than a decade ago, the world’s governments negotiated and signed the Paris Climate Agreement, committing to hold global warming well below 2 degrees Celsius. In the following years, climate had immense cultural power. Greta Thunberg emerged. Fortune 500 companies established net-zero plans. The U.S. got the Inflation Reduction Act. Then the pendulum swung back. President Donald Trump returned to the Oval Office, speaking of green energy as a “scam” and carbon footprints as a “hoax” and on all matters of international policy emphasizing bilateral engagement and power over globalism and cooperation. The technology companies that had been at the forefront of net-zero pledges and green leadership discovered the importance of all-of-the-above power to their visions for artificial intelligence and began quietly postponing or removing their targets. On the left side of the political spectrum, rising concerns about inflation and cost pushed climate lower down in the stated priorities of voters and stump speeches of politicians. The moment is ripe for a reset on the politics of climate change and for conservatives especially to chart a course that acknowledges and addresses the real challenges in plausible ways. So what should we think about climate change as we enter a post-peak climate era? If it is neither an apocalypse nor a hoax, what will hold up as a durable view of climate change? And how does it project onto the concerns and priorities of the right-of-center’s emerging coalition? New to Commonplace_? Subscribe below to get the magazine in your inbox._ Subscribe A Solid Foundation As the politics and economics of climate careened over the past ten years, the physics carried on regardless. In 2015, the year the Paris Climate Agreement was adopted, the world emitted 41.2 gigatonnes of carbon dioxide. By 2025, emissions had risen only 2.4%, to 42.2 gigatonnes, because falling emissions from land use offset increasing emissions from fossil fuels. But slow growth in annual emissions is not rapid decline, let alone net-zero, so carbon dioxide kept accumulating in the atmosphere, going from 399 to 426 parts per million. Global temperature kept rising too, from about 1.1 degrees Celsius above the 1850–1900 average in 2015, to 1.4 degrees above it in 2025. None of this should surprise anyone. Even most prominent skeptics, like the authors of the 2025 report commissioned by the Trump administration’s Department of Energy, accept the basic physics. Carbon dioxide added to the atmosphere at industrial volumes accumulates and traps heat that would otherwise escape to space. That heat warms the upper ocean and increases temperatures at the surface. Increased ocean heat and melting of land ice cause sea levels to rise. Changes in the climate become noticeable to us as subtle shifts in temperature and precipitation, seasons arriving early or late, changes in the surrounding ecosystem, and weather extremes. The much more meaningful debate is not about whether these things are happening, but about what it all means for human societies. (While it is a proxy measure of overall risk, no one experiences global surface temperature.) This debate invokes at least three interesting questions: how much today’s warming is showing up in regional climate trends, how much more warming we should anticipate, and how extreme weather events can be understood in the context of climate change. Recent scientific advances give us new insights into each of these, but there is still much to learn. This is the context in which the next generation of conservative leaders will be the first to deal with significant climate change as a fact, not a forecast. It will be with them for their entire careers. Our evolving scientific picture of climate change will come from weather and climate records stretching further into the past, new kinds of observations in the present, better modeling tools for the future, and simply more time to observe the emergence of climate signals and their tangible effects on ecosystems and communities in the United States and around the world. The policy landscape will be shaped by not only the impacts of changes in the climate, but also by the ways in which societies respond and by the emergence of new technologies for both altering the trajectory of emissions and adapting to new climate realities. Global climate records now show the fingerprints of warming in different phenomena around much of the world. The IPCC, in its most recent assessment report, documents warming trends over all land regions, even as natural variability adds substantial variance to local trends. And the highest temperature extremes have become more intense and frequent, almost everywhere, since the 1950s. Scientists are highly confident that these changes are attributable to human influence. But confidence in detecting trends and attributing them to human influence degrades across heavy precipitation events; drought trends are heterogeneous and not attributable to human activity with great confidence. For hurricanes, tornadoes, and other severe storms there is even less confidence in trends or their relationship to climate change. In general, a fair summary of the evidence is that for well-observed phenomena, like surface temperature or heavy rainfall, with a clear relationship to warming, our multidecadal observations are consistent with human influence overcoming natural variability over long time periods and extremes increasing. For regions that are sampled more sparsely, or phenomena with a higher noise-to-signal ratio, we will need to observe them longer to understand the magnitude of the climate signal or improve dynamical understanding using models and observations together. But for Climate For those who can’t wait, we also have new techniques that attempt to understand the role climate change has in influencing particular extreme events. When the climate is changing and disaster strikes, it is natural to ask whether that disaster was somehow “caused” by climate change. For scientists and policymakers acting in good faith, answering that question helps develop a more accurate picture of the problem, how it may be getting worse, and what preparations we should be making to respond to it. It may, at some point, give some weight to how liability is assigned by courts or adaptation funding is distributed by society. But how we ask this question is extremely important. It is easy to get the analysis wrong by discounting the role that meteorology plays. As meteorologist Theodore Shepherd explained in a clear 2016 review of climate attribution methods, “if a weather or climate event is truly extreme in the present climate, then perforce it requires unusual meteorological conditions, which means that climate change is at most a contributing factor.” Share Scientists have two ways to probe climate as a contributing factor, both of which have entered media coverage of extreme weather events. One asks a probabilistic question: How much more likely is a particular event (e.g., a temperature record over a particular area) amid global warming? The answer involves using historical records and computer simulations to estimate the likelihood of such an event in both a changed and a preindustrial climate. The findings are less about the specific event, and more about events of that nature. The other question is: How has the changed climate affected the specific event in question? Here, scientists try to understand what a similar event would have looked like in the preindustrial climate. This is sometimes called the storyline approach, where the story is the specific meteorological details of the event. These methods offer ways to test the intuition of scientists about real weather extremes. In late June and early July of 2021, a persistent high-pressure ridge, or heat dome, set up over the Pacific Northwest and an extraordinary heat wave affected the area from Oregon to British Columbia. For six days, it shattered temperature records across the region and hundreds died from heat-related causes, in an area where such high, and persistently high, temperatures were well outside of experience and many live without air conditioning. Scientists have studied its connection to climate change using multiple approaches. This specific event was created by a rare combination of meteorological factors, a strong high-pressure ridge created the conditions for extreme heat, which occurred on top of higher average temperatures in the region from global warming. Probabilistic analyses showed that climate change increased the likelihood of such an event by at least 8-fold to more than 100-fold. One standout example found that such an event had effectively zero probability of occurring in the preindustrial climate. The enormous range in these assessments reflects how hard it is to estimate probabilities of events at the tail of the historical record. Estimates of the effect on the temperature of the event are more clustered. A recent review paper documents how multiple methodologies have found a positive influence, roughly 1-2 degrees Celsius of an anomaly that exceeded 15 degrees, of climate change on the temperature magnitude of the event. Multiple studies have investigated and found some positive influence of climate change in other extreme events. Attribution studies found climate likely increased the heavy rainfall that accompanied Hurricane Helene in North Carolina and surrounding regions in 2024. The extensive fires that struck Los Angeles in 2025 illustrate how the causal chain can become messy, though. Studies do detect a positive influence of climate on the event’s likelihood, but while climate change likely contributed to underlying aridity, it would not have played a role in the heavy winds or land practices that preceded disaster. These event attribution studies will become more common for extreme, or damaging, weather events. They can be produced quickly, and often are reported before peer review. As the Pacific Northwest heatwave example shows, when multiple methods converge on a positive attribution, the finding should probably carry some weight even if you have to be careful about accepting the results from a single study. I expect that as climate change proceeds and the climate thus departs further from a preindustrial counterfactual, the influence will become more detectable across a variety of extreme events and more easily identified. This will be used to cast blame, but can also be used to inform how communities and society adapt to ongoing change. We May Still Be Surprised One positive development, insofar as less climate change is better, has been that our central estimates for future climate change should probably be revised downward. Mostly, that is because the high-end warmings that scientists regularly analyzed about ten to 20 years ago, driven by high emissions throughout the twenty-first century, now appear to be somewhere between unlikely and impossible. At one time, the upper end of mainstream climate projections extended well into 4 to 6 degrees Celsius of warming by the end of this century, which, models suggest, would have wrought enormous real-world damage. Current energy and policy trends now point toward 2.5 or 3 degrees. Damages and risks are commonly modeled as increasing steeply with more warming, so this is already a better-than-previously-expected outcome for the climate (which is independent of the physical response to emissions). But we should maintain a wide range for plausible outcomes and prepare for the possibility of being surprised. Emissions trajectories are subject to deep uncertainty, the physical climate response is still developing, and whatever change occurs in the climate will then be mediated through unpredictable economic, social, and political institutions. Over the past decade, the pace of warming surprised some keen observers and appeared to accelerate, though not yet outside the range of expectation provided by climate models. The reasons for that apparent acceleration are being actively studied (as was the apparent pause in warming from 1998 to 2012), but no single driver has emerged. Some blame it on the El Niño, variability which would have no bearing on climate. Some think it is a result of factories in East Asia and global shipping fleets cutting aerosol emissions, which in the strongest version of the argument would indicate higher climate sensitivity to carbon-dioxide emissions. Others are more measured, not yet ready to draw solid conclusions as to whether climate projections require revision. We will have to see. Long-Term Thinking Climate change asks us to think over long time scales. But the pace of human-driven warming is compressing a large global change into a century. Changing weather patterns and extreme events are already causing adjustment costs and damages and will do more. Adaptation will help, but it is not free. For some communities, these costs will erode livelihoods and well-being, and may force migration. Are we prepared for large-scale managed retreats in the United States? Thankfully, American wealth, geographical diversity, and moderate climates may leave us better prepared than many around the world. But wealthy countries can still suffer serious disruption from narrowly concentrated costs, even if they appear entirely manageable in aggregate. Readers of Commonplace are familiar with the challenges of rapidly adapting to economic forces. The displacement that came from the China Shock is barely perceptible in aggregate GDP and employment data, but it affected millions of people and those people were far less mobile than economic models tended to assume. Deindustrialization rippled through the nation with enormous effects for not only our economic vitality, but also our national security. The forces surrounding climate change may not be so different; the world gets richer and must accept some diffuse costs. Those may be modest overall, but cause all manner of unpredictable effects with which policymakers must cope. In the case of the China Shock, our faith in a growing pie served us poorly. We’ll need to do better on climate. Leave a comment
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Germany’s Political Tailspin: Your Weekly SPIEGEL Recap
It might be tempting to dismiss the results of last Sunday’s state election in Saxony-Anhalt, in which the far-right Alternative for Germany (AfD) party raked in 43.8 percent of the vote, as a rather unimportant extremist blip in a state that hardly anyone can find on the map. And you wouldn’t necessarily be wrong to do so. The state’s population – around 2.1 million – is a mere 2.5 percent of the German total. And while the state capital of Magdeburg was once the political heart of the Holy Roman Empire back when Otto the Great used to hang out there (more than a millenium … no … milennium … nope … millennium ago), it is today something of a backwater, albeit one with a ginormous cathedral in its center. We wanted to briefly interrupt this week’s newsletter to extend a heartfelt thank you to all of our subscribers, both new and old. And to remind you all that a free subscription gets you access to this newsletter every Saturday. A paid subscription, by contrast, gets you one DER SPIEGEL article every weekday, delivered to your inbox. We strive to select pieces that both demonstrate what Europe’s leading newsmagazine has to offer and provide an international audience – namely, you – with an insight into how Germany and Europe view the world. If you haven’t already signed up for a paid subscription, please consider doing so if you can. Our Substack channel relies entirely on reader support and we are excited to continue offering you the best of DER SPIEGEL. Subscribe But even beyond the fact that a huge percentage of the voters in the state decided to place an X next to a party with an ideological lineage that runs rather directly back to the right-wing extremist soup out of which the Nazi Party was born, the results are a perfect example of a phenomenon that has been plaguing German elections in recent years: the lack of an obvious path to a majority. Call it the Balkanization of German politics. There are a number of developments driving the phenomenon, but for the purposes of this newsletter, here are two of the most salient: Persistent voter frustration with the country’s two (former) big-tent parties – the Christian Democrats (CDU) on the center-right (17.2 percent in Saxony-Anhalt last Sunday) and the Social Democrats (SPD) on the center-left (9.3 percent). The presence of parties on the far left (Left Party), the populist left (the Sahra Wagenknecht Alliance – BSW) and the far right (AfD) with which mainstream parties are reluctant to form coalitions. So what happens now? Stories of the Week A Lack of Leadership The answer for many people in the country, and particularly within the CDU, is clear: pin (some of) the blame on Chancellor Friedrich Merz. According to a survey taken directly after the election in Saxony-Anhalt, 88 percent of respondents agreed with the statement that if the federal government in Berlin were doing a better job, the AfD wouldn’t be as strong. And it is true that the predominant impression of the federal government ever since Merz was sworn in on May 6, 2025, is one of ineffectiveness and bickering. His rather unique combination of bumbling-plus-bravado has also not exactly endeared him to the German public. Indeed, his standing in the country is so shaky that his popularity – according to recent polls – has now dropped even below the historic lows associated with his predecessor Olaf Scholz. The situation is such that the CDU even opted to keep him largely out of the campaign ahead of the Saxony-Anhalt vote. And since then, dissatisfied rumblings within the CDU have grown louder. DER SPIEGEL’s Swantje Karich notes that the problems with the CDU go much deeper than Merz. “The center-right has a trust problem. At a press appearance following the devastating election result in Saxony-Anhalt, Friedrich Merz said that the party wanted to ‘reach people more effectively’ through ‘emotional engagement.’ It sounded as though he were announcing a political program. On the basis of that statement, it is difficult to take his empathy seriously.” “The Chancellor’s chastened appearance did, at least, reveal where he stands: with his back to the wall. Elections will be held in Mecklenburg-Western Pomerania next week, and the CDU could fare even worse there. The party is polling at between 8 and 10 percent in the state.” “What is at stake is the political tradition that has lent stability to the Federal Republic since 1945: a democratic conservatism that understands what must be preserved, but also how to embrace progress and openness to the world. If the Union continues along its current path, it risks becoming politically irrelevant after the 2029 federal election – and Germany could soon find itself with a government of the far right.” The Trumpification of Political Debate? It is often said in Germany that to understand the political and social trends that will soon be dominant in Europe, one need only look across the Atlantic to the United States. When it comes to political debate, that has certainly proven true. Donald Trump understood early on that triggering mouth-foaming outrage among Democrats is an ideal way to both generate headlines and to secure loyalty among supporters. And he realized that far more quickly than the left side of the political spectrum understood that simply ignoring the old man might be the best recipe. To be sure, there have been signs recently that the US president may be over-relying on the strategy. Earlier this week, in an apparent grandpa-discovers-AI moment, Trump sent out 60 posts in the space of 10 hours, many of them AI-assisted images portraying him as a hero – or showing Iceland as part of the US (outrageous!!!). It was also during that slew of schlock that he explicitly backed the AfD with an “MGGA” post. In Germany, though, the outrage cycle remains in full swing, with much of the focus on those who would dare to vote for the AfD. They are alternately portrayed as being dim-witted, ungrateful, backward, racist or all of the above. That, argues DER SPIEGEL columnist Sabine Rennefanz, is not particularly helpful. “Everywhere on election night, people spoke of a watershed moment, a rupture, a turning point. But what is that supposed to mean in concrete terms? A watershed would imply an interruption, a moment of pause – perhaps even a willingness to rethink and learn. At first, there was little sign of that in the main television panels. Instead, the familiar rituals that had already shaped the election campaign continued: outrage, lecturing and abuse.” “That’s just the tone, one might object. They’re only talk shows. Given that the party’s state branch has been classified by domestic intelligence officials as confirmed right-wing extremist, there are more important problems than hurt feelings on television. Yet although the condescending tone is not the cause of the AfD’s success, it is an expression of the broader mood within the so-called political center – a kind of institutional blindness that too often treats material concerns as a communications problem.” “People have a pretty good sense of whether you like them – whether you approach them with curiosity or merely study, lecture and manage them as a problem group. They notice whether you genuinely want to understand their fears and pain, or whether you are simply waiting for the chance to correct them. They can also tell whether someone still has the energy to change things, or whether they have barricaded themselves behind platitudes and empty phrases.” “Anyone who wants an egalitarian democratic society cannot promise equality only to those whose language, tastes and moral convictions they share. They must also acknowledge the wounds, resentments and fears of those whose political conclusions they consider wrong. Acknowledging them does not mean agreeing with them. But a democracy that communicates with almost half its citizens only through warnings and labels gives up on political debate before it has even begun. An atmosphere must be created in which people can express their opinions without fearing that they will be canceled. We are currently a long way from that.” East-West? One of the clear undercurrents in the election last Sunday was, of course, Germany’s ongoing east-west divide, particularly as it pertains to the success of the AfD. Historically, the party has been far stronger in the former East German states than in former West German states. The fact that this generalization no longer reliably holds is certainly one of the primary concerns that many have about the party’s growth. And yet, there is still a distinct flavor of “stupid easterners, they don’t understand democracy” to the coverage. In the weeks before the vote, there was even a rather interesting back-and-forth in Germany’s culture pages about how ungrateful eastern Germans allegedly are for being pulled out of their pre-reunification backwardness and into the light of the West. DER SPIEGEL’s Jochen-Martin Gutsch has had enough. “Ten years ago, in 2016, elections were also held in Saxony-Anhalt. The AfD won more than 20 percent, which at the time rightly provoked outrage and incomprehension in western Germany. Today, in 2026, the AfD is also polling at around 20 percent in western German states, but this no longer provokes outrage and incomprehension. Instead, it is now regarded as proof of democratic conviction and civilizational resistance. After all, in the east, it’s 40 percent!” “This allows people to continue feeling morally superior to the East, but the wiser course would be to admit: if something doesn’t happen soon, the West will turn AfD-blue too. Or bluish.” “But will anything happen? The truly depressing thing about election night was not so much the AfD leaders intoxicated by their own success. It was the representatives of the other parties, who once again said that they were utterly shocked, needed some time to digest the result and would, of course, not simply return to business as usual. The SPD, a former big-tent party, celebrated its ‘stable’ result of 9.3 percent. Congratulations!” “For 10 years, the AfD has gone from one electoral success to the next. And still, the established parties remain ‘shocked’ and scratch their heads in astonishment. How long can they keep being shocked? Friedrich Merz says he may need to communicate his reform ideas in a more ‘emotional’ way. So the CDU’s political professionals sit down together after the election, mull over a strategy, and in the end come up with this: Fritz, try to be a little more relaxed, charismatic and emotional – or something. Beyond that: no political plan, no defiance, no promise of a future. That is frightening.” What was good, what was bad for democracy? Good: Voter turnout in Saxony-Anhalt was 77.8 percent, the highest ever recorded in the state. Whatever one thinks of the result, that figure is encouraging. Democracy needs citizens to take an interest. Bad: Although a strong AfD result had been expected in Saxony-Anhalt, many politicians from the mainstream parties – including in Berlin – appeared confused, helpless and overwhelmed in their initial reactions. That is not how they will win back voters’ trust. Last Week’s Highlights: 🗳️ Meet the Germans Who Voted for the AfD: Why would voters in a country like Germany, with its Nazi past, vote for a right-wing party? It’s a question only an editor in Berlin could come up with. On the ground, the view is different. 🟦 How the AfD Wants to Expand Its Power Across Germany: The far-right AfD is planning to decimate public broadcasting in Saxony-Anhalt, revamp education and install extremists in positions of power. And it is eyeing victory on the national stage as well. 🕯️ The Continuing Reverberations of September 11: It was a generational shock, and the consequences can still be felt today - from massive surveillance and significant increases in presidential power to violent excesses at ICE. 🤝 “For Europe, Canada Is the Preferred Partner in Trans-Atlantic Relations”: In an interview with DER SPIEGEL, Canadian Finance Minister François-Philippe Champagne discusses his country’s failed trade deal with the US and why Canada is looking to Europe. 🏛️ The True Historical Roots of the AfD: During the Weimar Republic in the 1920s, there were numerous parties on the extreme right espousing “Germany first” nationalism. The Nazis may not be the best comparison for today’s AfD. 🌊 AfD in a Landslide: Merz Is the Wrong Leader for Germany: The right-wing Alternative for Germany won in a landslide in Saxony-Anhalt state elections on Sunday. What does that mean for the country at large? Thank you for your continued support and have a wonderful week! Subscribe Share Leave a comment Your SPIEGEL Substack Team Compiled and edited by Charles Hawley
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Days of powerful waves have torn away sand, damaged a popular walkway and threatened homes along the Long Beach coast, and scientists warn the destructive conditions could be a preview of what’s to…
How geopolitical rifts cut scientific collaboration
Researchers have measured how worsening geopolitical relations hobble scientific collaboration, at last quantifying the impact of rifts between governments on cooperation between labs. Over the last decade, a tenser world has thrown up new barriers to cross-border science. Collaboration between the US and China has dimmed as the two countries have sunk into an ever-deeper rivalry. Links between Russia and Europe have collapsed following Moscow’s full-scale invasion of Ukraine. But while a concern, the magnitude of the damage is less than might be expected. For all the geopolitical turmoil of the last decade, international scientific collaborations are near a record high. “Some part of the story is positive,” said Shreyas Gadgin Matha, a social scientist at Harvard University and an author of the new study. “Research collaborations are largely resilient.” Matha and colleagues looked at data on cross-border research papers and patents in the period 2000-23, and analysed how they were impacted by countries’ political relations, as measured by how often states voted together in the United Nations. They found that when states drift apart at the UN by the median difference in votes between all countries, joint scientific papers decline by 3.1% over the next three-year period. To put that in context, over the last decade, the US and China have diverged by around a third of that difference in votes every three years. In other words, on average, it takes quite a significant diplomatic rift even to trigger a small single-digit percentage drop in joint papers. “In the short term, even something like a 3% reduction [in joint papers] is, in some ways, not that big of a number,” said Matha. Research remains more international than ever, according to an analysis extending to 2023 released by the Organisation for Economic Cooperation and Development (OECD) in 2025. We’re still living in an era of unprecedented scientific globalisation, the analysis says, with 27% of papers in OECD countries written across borders. In 1970, just 2% of articles had authors from different countries. Longer-term damage?However, this trend towards increasing international collaboration “has lost momentum and might be partly breaking down,” the OECD analysis says, largely due to a fall in the intensity of US-China joint papers since 2018. Matha and his colleagues stressed they are not complacent about the global science system. For now, “it's pretty resilient,” said co-author Muhammed Yildirim, director of academic research at Harvard’s Growth Lab. But if links are weakened, through the denial of study visas, for example, then this could have a much longer-term effect, cascading through generations of scientists, he added. Related articlesChina becomes Russia’s biggest collaborator after war decimates science ties with the west US scientists prefer German to Chinese collaborators, study finds Horizon Europe is now truly global. But what comes next? Another finding of the study, Burning bridges or bridging divides: Geopolitics and collaboration in research and innovation, is that trust appears easier to destroy than create.The hit to scientific collaboration when countries drift apart is around three times as big as the growth in joint papers when they move closer, the paper finds. “It's far easier to break these ties than to mend them, and that that also perhaps has some larger policy lesson,” said Matha.PatentsThe results around patents were less clear cut. Some methods of analysis found a statistically significant link between a diplomatic rift and a drop in co-patenting, but others did not. According to Yildirim, patents with cross-border inventors are often developed by multinational companies, which may have invested heavily in global R&D facilities, so are less likely to change how they operate simply due to a change in the geopolitical weather. “That's why we might not be seeing the effect immediately in technology,” he said.By contrast, researchers might be more sensitive to geopolitics, because visa policies can quickly affect who meets who at academic conferences, he went on. International collaboration on patents is much lower than for academic articles, the study shows. It peaked at around 10% in 2010, and has since fallen back to around 8%. This could be because China dramatically ramped up domestic patents in the 2010s, said Yildirim, squeezing the international share.
How geopolitical rifts cut scientific collaboration
Researchers have measured how worsening geopolitical relations hobble scientific collaboration, at last quantifying the impact of rifts between governments on cooperation between labs. Over the last decade, a tenser world has thrown up new barriers to cross-border science. Collaboration between the US and China has dimmed as the two countries have sunk into an ever-deeper rivalry. Links between Russia and Europe have collapsed following Moscow’s full-scale invasion of Ukraine. But while a concern, the magnitude of the damage is less than might be expected. For all the geopolitical turmoil of the last decade, international scientific collaborations are near a record high. “Some part of the story is positive,” said Shreyas Gadgin Matha, a social scientist at Harvard University and an author of the new study. “Research collaborations are largely resilient.” Matha and colleagues looked at data on cross-border research papers and patents in the period 2000-23, and analysed how they were impacted by countries’ political relations, as measured by how often states voted together in the United Nations. They found that when states drift apart at the UN by the median difference in votes between all countries, joint scientific papers decline by 3.1% over the next three-year period. To put that in context, over the last decade, the US and China have diverged by around a third of that difference in votes every three years. In other words, on average, it takes quite a significant diplomatic rift even to trigger a small single-digit percentage drop in joint papers. “In the short term, even something like a 3% reduction [in joint papers] is, in some ways, not that big of a number,” said Matha. Research remains more international than ever, according to an analysis extending to 2023 released by the Organisation for Economic Cooperation and Development (OECD) in 2025. We’re still living in an era of unprecedented scientific globalisation, the analysis says, with 27% of papers in OECD countries written across borders. In 1970, just 2% of articles had authors from different countries. Longer-term damage?However, this trend towards increasing international collaboration “has lost momentum and might be partly breaking down,” the OECD analysis says, largely due to a fall in the intensity of US-China joint papers since 2018. Matha and his colleagues stressed they are not complacent about the global science system. For now, “it's pretty resilient,” said co-author Muhammed Yildirim, director of academic research at Harvard’s Growth Lab. But if links are weakened, through the denial of study visas, for example, then this could have a much longer-term effect, cascading through generations of scientists, he added. Related articlesChina becomes Russia’s biggest collaborator after war decimates science ties with the west US scientists prefer German to Chinese collaborators, study finds Horizon Europe is now truly global. But what comes next? Another finding of the study, Burning bridges or bridging divides: Geopolitics and collaboration in research and innovation, is that trust appears easier to destroy than create.The hit to scientific collaboration when countries drift apart is around three times as big as the growth in joint papers when they move closer, the paper finds. “It's far easier to break these ties than to mend them, and that that also perhaps has some larger policy lesson,” said Matha.PatentsThe results around patents were less clear cut. Some methods of analysis found a statistically significant link between a diplomatic rift and a drop in co-patenting, but others did not. According to Yildirim, patents with cross-border inventors are often developed by multinational companies, which may have invested heavily in global R&D facilities, so are less likely to change how they operate simply due to a change in the geopolitical weather. “That's why we might not be seeing the effect immediately in technology,” he said.By contrast, researchers might be more sensitive to geopolitics, because visa policies can quickly affect who meets who at academic conferences, he went on. International collaboration on patents is much lower than for academic articles, the study shows. It peaked at around 10% in 2010, and has since fallen back to around 8%. This could be because China dramatically ramped up domestic patents in the 2010s, said Yildirim, squeezing the international share.
Ectopic pregnancy deaths have nearly doubled. It’s worse in states with abortion bans
The number of women who died after an ectopic pregnancy has spiked in recent years, a ProPublica analysis found. The mounting deaths in Centers for Disease Control and Prevention data have drawn little scrutiny or response.
6 winners and losers from Patriots’ loss to the Seahawks
Who caught our eye, for better or worse, in the Patriots’ loss.
Elections won’t fix America’s political divisions
If you think politics in America could not be more acrimonious than it is right now, don’t bet on it. It’s about to get much worse, unless we, the American people, do something about it.
CBIA survey: Rising household costs add pressure to CT’s business economy
A new survey finds half of Connecticut respondents are financially worse off as rising household costs pressure the state economy.
The Cost of Cutting American Science: How Federal Cuts Diminish Public Health Capacity
Among the federal government’s many responsibilities is the work it does to protect public health. Federal agencies monitor our food supply to ensure safety, conduct research to better understand emerging health threats, provide funding for public health programs in communities and work to detect and respond to disease outbreaks. Americans rely on these efforts every day—in a 2024 online survey, 74% of respondents said that “if the federal government issued safety guidance about food you eat regularly,” they would follow it. Changes to Federal Public Health Capacity The Trump administration’s efforts to reshape the federal government have resulted in significant impacts on our nation’s public health capacity over the past 20 months, affecting the response to health concerns such as measles, Ebola and cyclosporiasis. Agencies with core public health, food safety and disease prevention responsibilities experienced large workforce decreases during the first year of the administration. At the Centers for Disease Control and Prevention, for instance, the workforce in February 2026 was 26.7% smaller than in September 2024 before the start of the Trump administration. The Food and Drug Administration saw a similarly steep decline of 21.6%. Agencies such as the National Institutes of Health, Substance Abuse and Mental Health Services Administration and Food Safety and Inspection Service also experienced large workforce decreases. (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); Changes can also be seen in crucial public health occupations. The number of federal food inspectors, for example, decreased by more than half between September 2024 and February 2026, going from 1,035 to 473. This is the lowest number of food inspectors employed by the federal government since at least 2005. By February 2026, there were also 33.3% fewer federal public health program specialists, whose work includes advising federal funding recipients on public health activities and analyzing the effectiveness of public health programs. Government’s capacity is diminished as employees with specialized knowledge and experience in protecting the public and responding to health risks depart, leaving agencies less prepared to carry out their public health missions. There also have been vacancies in critical high-level leadership positions at public health agencies, most notably at the CDC, which had a permanent Senate-confirmed director for less than a month between January 2025 and early August 2026. Although the CDC has previously been led by acting directors at the start of an administration, the nearly yearlong gap since the departure of the administration’s first permanent director in August 2025 is without precedent. As of August 2026, the FDA is also currently without a Senate-confirmed commissioner following the previous commissioner’s resignation in May 2026. Additionally, public health agencies are experiencing increased politicization of their leadership ranks. In agencies such as the CDC and Food Safety and Inspection Service, the number of individuals in the Senior Executive Service—the most senior career leaders in government—has declined significantly, while at the same time the number of political appointees has reached record levels. (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); At the CDC, for example, the number of career SES decreased 42.9% between December 2024 and February 2026, while the number of non-Senate confirmed political appointees at the agency was six times larger than the agency’s historical average from 2009 and 2024. Knowledgeable career leaders are integral to the ability of public health agencies to carry out their work with scientific integrity and professional judgment, and rapid leadership turnover and increased politicization threaten agencies’ ability to make evidence-based decisions to protect our health. The upheaval and politicization in public health agencies have also negatively affected employee engagement. Strong employee engagement is crucial to the ability of agencies to carry out their mission and successfully provide essential services to the public. In the 2025 Public Service Viewpoint Survey conducted by the Partnership for Public Service, the Department of Health and Human Services—which encompasses major public health agencies such as the CDC and FDA—had an employee engagement and satisfaction score of 20.4 out of 100, one of the lowest among large agencies. Only 2.8% of HHS employees indicated trust in their political leaders and only 8.7% reported confidence that they could report a suspected violation of law or regulation without retaliation. Employees at HHS also reported that the agency’s ability to provide services to the public had suffered. Nearly half of employees at HHS, 47.5%, said their work unit was worse at delivering quality services compared to its performance in 2024. In addition, 57.8% said their work unit was performing worse at fulfilling stakeholder needs. In addition to the work done within federal agencies, the federal government also distributes significant funding for public health and disease prevention work to state and local governments, nonprofits and small businesses—funding which has been significantly disrupted. At the CDC, for example, there was a 71.9% decrease in the amount of project grant funding issued in fiscal year 2025 compared to fiscal year 2024. The FDA also issued far less funding in fiscal year 2025—a 21.3% decrease from its fiscal year 2024 funding. Changes in federal funding include the ending of grants to community organizations that worked on HIV prevention and the cancellation of funding for research into improvements to patient safety and healthcare quality. These changes go beyond federal agencies to impact the broader public health ecosystem, including the state and local health departments responsible for much of the on-the-ground public health work in their communities. About 80% of the CDC’s domestic funding is directed towards state and local partners—meaning that cuts to CDC funding can ultimately result in cuts to state and local public health capacity. Federal agencies also provide expertise and assistance to state and local health agencies as they deal with particular health challenges, but workforce cuts have resulted in fewer federal employees available to help. The Impact of Changes to Public Health Capacity These changes to federal public health capacity are not abstract concerns. Disrupted programs, reduced funding and lost expertise at public health agencies across all levels of government threaten the public’s physical well-being and safety. In some cases, this has already led to harm. The most immediate impacts of federal cuts were seen in interruptions to ongoing public health programs and crisis responses. In one instance, when CDC grants were canceled during the 2025 Texas measles outbreak—the most severe measles outbreak in 25 years—public health officials in Lubbock, Texas were forced to pause parts of their measles response work supported by the frozen funding. Lubbock’s director of public health further said that a lack of available CDC experts to reach out to for advice “definitely” impacted the department’s response to the measles crisis. Cuts to federal funding also forced Dallas County Health and Human Services to cut staff and cancel 50 community vaccination clinics during the outbreak. Public health work outside of major outbreak responses was also disrupted. For example, in April 2025, the Milwaukee Public Health Department was unexpectedly unable to reach experts on lead poisoning due to firings at the CDC when responding to concerns about lead contamination in Milwaukee public schools. Due to federal workforce cuts, several programs at the CDC, including Alzheimer’s and epilepsy programs, have also become trapped in limbo—existing on paper, but without the staff necessary to operate. More recent crises reveal how federal cuts have weakened the public health infrastructure needed to prevent and respond to dangerous new outbreaks. Internationally, cuts at the U.S. Agency for International Development eliminated funding for disease testing and contact tracing abroad, which delayed detection of and responses to the 2026 Ebola outbreak in the Democratic Republic of Congo. While international outbreaks may seem far removed, the unchecked spread of disease in any country can quickly pose a danger to economic well-being, security and health around the world. Within the United States, public health cuts inhibited responses to the summer 2026 outbreak of the food-borne parasite cyclospora. At the federal level, cuts to funding for lab equipment and for CDC staff with expertise in parasitic infections—including 9 out of 11 staff members at the lab responsible for identifying parasitic outbreaks in 2025— contributed to the largest reporting delay in outbreak cases at the CDC in 15 years. Conflicting communications from the FDA about the source of the outbreak, which followed cuts to the agency’s communications department, additionally led to confusion among the public about how to best avoid infection. At the same time, cuts to HHS funding and support for local and state public health slowed some health departments’ responses to the crisis. The exact costs of these delays, constraints and confusion in public health responses are difficult to estimate. However, their message is clear: federal cuts have already made containing threats to public health even more of a challenge. Conclusion Protecting public health—from food safety to disease prevention—is one of the federal government’s most important missions. Dramatic and haphazard cuts to federal agencies and funding have already disrupted the public health system, impacting the response to challenges such as measles, lead poisoning and cyclosporiasis. The U.S. public health system needed improvement before these disruptions. Since 2022, federal leadership and coordination in response to public health outbreaks has been on the Government Accountability Office’s High-Risk List of areas in need of attention to improve government effectiveness and efficiency. Recent cuts only compound these concerns. The chaotic dismantling of government and resulting disruptions to crucial functions like public health and disease prevention highlight the need for meaningful reform and concrete policy proposals to reimagine how government can better serve the public and be more effective, responsive and accountable. To learn more about the impact of federal cuts to public health and science more broadly, visit The Cost of Cutting American Science. Learn more For more information on the Partnership for Public Service’s government reform initiative, visit Government for a New Era. View here In line with The Cost of Cutting American Science, federal workforce data in this brief is as of February 2026
The Cost of Cutting American Science: How Federal Cuts Diminish Public Health Capacity
Among the federal government’s many responsibilities is the work it does to protect public health. Federal agencies monitor our food supply to ensure safety, conduct research to better understand emerging health threats, provide funding for public health programs in communities and work to detect and respond to disease outbreaks. Americans rely on these efforts every day—in a 2024 online survey, 74% of respondents said that “if the federal government issued safety guidance about food you eat regularly,” they would follow it. Changes to Federal Public Health Capacity The Trump administration’s efforts to reshape the federal government have resulted in significant impacts on our nation’s public health capacity over the past 20 months, affecting the response to health concerns such as measles, Ebola and cyclosporiasis. Agencies with core public health, food safety and disease prevention responsibilities experienced large workforce decreases during the first year of the administration. At the Centers for Disease Control and Prevention, for instance, the workforce in February 2026 was 26.7% smaller than in September 2024 before the start of the Trump administration. The Food and Drug Administration saw a similarly steep decline of 21.6%. Agencies such as the National Institutes of Health, Substance Abuse and Mental Health Services Administration and Food Safety and Inspection Service also experienced large workforce decreases. (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); Changes can also be seen in crucial public health occupations. The number of federal food inspectors, for example, decreased by more than half between September 2024 and February 2026, going from 1,035 to 473. This is the lowest number of food inspectors employed by the federal government since at least 2005. By February 2026, there were also 33.3% fewer federal public health program specialists, whose work includes advising federal funding recipients on public health activities and analyzing the effectiveness of public health programs. Government’s capacity is diminished as employees with specialized knowledge and experience in protecting the public and responding to health risks depart, leaving agencies less prepared to carry out their public health missions. There also have been vacancies in critical high-level leadership positions at public health agencies, most notably at the CDC, which had a permanent Senate-confirmed director for less than a month between January 2025 and early August 2026. Although the CDC has previously been led by acting directors at the start of an administration, the nearly yearlong gap since the departure of the administration’s first permanent director in August 2025 is without precedent. As of August 2026, the FDA is also currently without a Senate-confirmed commissioner following the previous commissioner’s resignation in May 2026. Additionally, public health agencies are experiencing increased politicization of their leadership ranks. In agencies such as the CDC and Food Safety and Inspection Service, the number of individuals in the Senior Executive Service—the most senior career leaders in government—has declined significantly, while at the same time the number of political appointees has reached record levels. (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); (function(){function e(){window.addEventListener(`message`,function(e){if(e.data[`datawrapper-height`]!==void 0){var t=document.querySelectorAll(`iframe`);for(var n in e.data[`datawrapper-height`])for(var r=0,i;i=t[r];r++)if(i.contentWindow===e.source){var a=e.data[`datawrapper-height`][n]+`px`;i.style.height=a}}})}e()})(); At the CDC, for example, the number of career SES decreased 42.9% between December 2024 and February 2026, while the number of non-Senate confirmed political appointees at the agency was six times larger than the agency’s historical average from 2009 and 2024. Knowledgeable career leaders are integral to the ability of public health agencies to carry out their work with scientific integrity and professional judgment, and rapid leadership turnover and increased politicization threaten agencies’ ability to make evidence-based decisions to protect our health. The upheaval and politicization in public health agencies have also negatively affected employee engagement. Strong employee engagement is crucial to the ability of agencies to carry out their mission and successfully provide essential services to the public. In the 2025 Public Service Viewpoint Survey conducted by the Partnership for Public Service, the Department of Health and Human Services—which encompasses major public health agencies such as the CDC and FDA—had an employee engagement and satisfaction score of 20.4 out of 100, one of the lowest among large agencies. Only 2.8% of HHS employees indicated trust in their political leaders and only 8.7% reported confidence that they could report a suspected violation of law or regulation without retaliation. Employees at HHS also reported that the agency’s ability to provide services to the public had suffered. Nearly half of employees at HHS, 47.5%, said their work unit was worse at delivering quality services compared to its performance in 2024. In addition, 57.8% said their work unit was performing worse at fulfilling stakeholder needs. In addition to the work done within federal agencies, the federal government also distributes significant funding for public health and disease prevention work to state and local governments, nonprofits and small businesses—funding which has been significantly disrupted. At the CDC, for example, there was a 71.9% decrease in the amount of project grant funding issued in fiscal year 2025 compared to fiscal year 2024. The FDA also issued far less funding in fiscal year 2025—a 21.3% decrease from its fiscal year 2024 funding. Changes in federal funding include the ending of grants to community organizations that worked on HIV prevention and the cancellation of funding for research into improvements to patient safety and healthcare quality. These changes go beyond federal agencies to impact the broader public health ecosystem, including the state and local health departments responsible for much of the on-the-ground public health work in their communities. About 80% of the CDC’s domestic funding is directed towards state and local partners—meaning that cuts to CDC funding can ultimately result in cuts to state and local public health capacity. Federal agencies also provide expertise and assistance to state and local health agencies as they deal with particular health challenges, but workforce cuts have resulted in fewer federal employees available to help. The Impact of Changes to Public Health Capacity These changes to federal public health capacity are not abstract concerns. Disrupted programs, reduced funding and lost expertise at public health agencies across all levels of government threaten the public’s physical well-being and safety. In some cases, this has already led to harm. The most immediate impacts of federal cuts were seen in interruptions to ongoing public health programs and crisis responses. In one instance, when CDC grants were canceled during the 2025 Texas measles outbreak—the most severe measles outbreak in 25 years—public health officials in Lubbock, Texas were forced to pause parts of their measles response work supported by the frozen funding. Lubbock’s director of public health further said that a lack of available CDC experts to reach out to for advice “definitely” impacted the department’s response to the measles crisis. Cuts to federal funding also forced Dallas County Health and Human Services to cut staff and cancel 50 community vaccination clinics during the outbreak. Public health work outside of major outbreak responses was also disrupted. For example, in April 2025, the Milwaukee Public Health Department was unexpectedly unable to reach experts on lead poisoning due to firings at the CDC when responding to concerns about lead contamination in Milwaukee public schools. Due to federal workforce cuts, several programs at the CDC, including Alzheimer’s and epilepsy programs, have also become trapped in limbo—existing on paper, but without the staff necessary to operate. More recent crises reveal how federal cuts have weakened the public health infrastructure needed to prevent and respond to dangerous new outbreaks. Internationally, cuts at the U.S. Agency for International Development eliminated funding for disease testing and contact tracing abroad, which delayed detection of and responses to the 2026 Ebola outbreak in the Democratic Republic of Congo. While international outbreaks may seem far removed, the unchecked spread of disease in any country can quickly pose a danger to economic well-being, security and health around the world. Within the United States, public health cuts inhibited responses to the summer 2026 outbreak of the food-borne parasite cyclospora. At the federal level, cuts to funding for lab equipment and for CDC staff with expertise in parasitic infections—including 9 out of 11 staff members at the lab responsible for identifying parasitic outbreaks in 2025— contributed to the largest reporting delay in outbreak cases at the CDC in 15 years. Conflicting communications from the FDA about the source of the outbreak, which followed cuts to the agency’s communications department, additionally led to confusion among the public about how to best avoid infection. At the same time, cuts to HHS funding and support for local and state public health slowed some health departments’ responses to the crisis. The exact costs of these delays, constraints and confusion in public health responses are difficult to estimate. However, their message is clear: federal cuts have already made containing threats to public health even more of a challenge. Conclusion Protecting public health—from food safety to disease prevention—is one of the federal government’s most important missions. Dramatic and haphazard cuts to federal agencies and funding have already disrupted the public health system, impacting the response to challenges such as measles, lead poisoning and cyclosporiasis. The U.S. public health system needed improvement before these disruptions. Since 2022, federal leadership and coordination in response to public health outbreaks has been on the Government Accountability Office’s High-Risk List of areas in need of attention to improve government effectiveness and efficiency. Recent cuts only compound these concerns. The chaotic dismantling of government and resulting disruptions to crucial functions like public health and disease prevention highlight the need for meaningful reform and concrete policy proposals to reimagine how government can better serve the public and be more effective, responsive and accountable. To learn more about the impact of federal cuts to public health and science more broadly, visit The Cost of Cutting American Science. Learn more For more information on the Partnership for Public Service’s government reform initiative, visit Government for a New Era. View here In line with The Cost of Cutting American Science, federal workforce data in this brief is as of February 2026
Burning Questions: Indiana Football Preparing For Week 2 Against Howard
Indiana smacked North Texas around in week one and it's supposed to be even worse this week as the Hoosiers host Howard.
Funding cuts are forcing dozens of health clinics in Sudan to close, aid groups warn
CAIRO (AP) — An additional three dozen health facilities serving more than 400,000 people in Sudan are closing this year due to global aid cuts, worsening a dire humanitarian situation in a country torn by more than three years of war, aid groups said Tuesday.