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Wolverine developer Insomniac denies using generative AI after fans spot strange restroom sign
Insomniac denies using generative AI on Marvel's Wolverine after fans spotted a strange bathroom sign, blaming a "UV map bug" instead.
Latest batch of Nintendo Switch backwards compatibility fixes for Switch 2
Nintendo has been striving to get all third party Nintendo Switch games up and running and compatible with the Nintendo Switch 2. The company has been working with third party developers to ensure any…
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.
Another new TOD project takes shape in Hicksville
Developers and construction crews mark topping off of $58 million Fieldstone at North Broadway, a transit-oriented mixed-use project in Hicksville.
‘Halloween: The Game’ Developers Tease What’s Next…
Over 1 million players have already explored Haddonfield in just the first week of release for Halloween: The Game, and the developers at Illfonic are now
The Rogue Prince of Persia ‘Anniversary’ update now available
Publisher Ubisoft and developer Evil Empire have released the “Anniversary” update for The Rogue Prince of Persia.
Michael Reschke: LaSalle Street could shine as Chicago’s next nighttime attraction
Developer Michael Reschke makes the case for illuminating LaSalle Street’s landmark buildings and turning the historic corridor into a nighttime destination.
Valor Mortis is only $40 because its developer knows you'll be choosing from a lot of big games over this "stacked" autumn
Valor Mortis, previously delayed to avoid a busy September, has today revealed it won't be as expensive as many of the games releasing around the same time.
XBOX @ Tokyo Game Show 2026: All the Announcements, Including an Appearance by Hideo Kojima
Tokyo Game Show is a celebration of the creators, developers, and communities shaping the future of gaming. As we celebrate 25 years of XBOX and over 20 years in Japan, Tokyo Game Show is an opportunity to recognize the players, creators, and developers who have helped define gaming culture. During the XBOX Tokyo Game Show […]
Shape of Dreams now available for PS5, Xbox Series, and Switch 2 alongside ‘Starless Path’ update
Publisher NEOWIZ and developer Lizard Smoothie have released roguelite action video game Shape of Dreams for PlayStation 5, Xbox Series, Switch 2, and PC via Microsoft Store at a launch discount pr…
GACHIAKUTA: BREAKOUT launches in 2027
Survival action RPG GACHIAKUTA: BREAKOUT, formerly GACHIAKUTA: The Game, will launch for PlayStation 5, Xbox Series, and PC via Steam in 2027, developer Com2uS announced.
PS5 Linux dev quits after "the only hypervisor bug left" was reported to Sony
The developer behind the PS5 Linux project is stepping away, after getting frustrated with AI LLM Slop kiddies threw a spanner in the works.
Solo Leveling: KARMA ‘Game Overview’ and ‘Cinematic’ trailers
Publisher Netmarble and developer Netmarble Neo have released a gameplay and cinematic trailers for roguelite action RPG Solo Leveling: KARMA as part of Tokyo Game Show 2026.
Lollipop Chainsaw 2 Back2Back announced for PS5
Publishers Dragami Games and Nada Holdings, and developer JP Universe have announced Lollipop Chainsaw 2 Back2Back for PlayStation 5. It will launch in 2027. It is also playable at Tokyo Game Show …
Report: Media Molecule New Game Set to Be Revealed in 2027, First Info Leaks
Four months ago, we reported that LittleBigPlanet developer Media Molecule was busy toiling away on a new IP with "open-world content." For those wondering what happened to the studio, they…
VIDEO: Warnock Calls Out AI Developers, Social Media Companies, After Bizarre Health Hoax » Reverend Raphael Warnock
Senator Reverend Warnock warned about the risk to democracy after AI-generated social media posts with false health news about the Senator went viral Senator Reverend Warnock: “What if hours before an election, someone created a page with AI-generated images, fake stories about the candidates? How will voters know what’s true and what’s not true?” Washington, D.C. – Yesterday, U.S. […]
Apple's Redesigned Health App Is Available Now In The iOS 27.2 Developer Beta
New features like Health Age bring Apple's app more in line with competitors like Whoop and Oura.
New in iOS 27.2 beta: redesigned Health app, Siri AI localization, more
Apple's redesigned Health app has already reached developers and testers with the first beta of iOS 27.2. Here's what's new.
iOS 27.2 expands Siri AI to these new languages
iOS 27.2 beta 1 released today for developers, and it expands Siri AI support to several new languages just days after the public launch.
iOS 27.2 Beta Previews New Apple Intelligence Health App
The first beta of iOS 27.2 includes Apple's redesigned Health app, giving developers a chance to try out the features ahead of launch later this year. Apple's developer notes for the feature say the Health app is being tested in this beta, but it won't be in the launch version of iOS 27.2. It will instead come later in the year. The Health app will incorporate Apple Intelligence to turn data and metrics collected by the Apple Watch into personalized guidance.
iOS 27.2 Beta Previews New Apple Intelligence Health App
The first beta of iOS 27.2 includes Apple's redesigned Health app, giving developers a chance to try out the features ahead of launch later this year. Apple's developer notes for the feature say the Health app is being tested in this beta, but it won't be in the launch version of iOS 27.2. It will instead come later in the year. The Health app will incorporate Apple Intelligence to turn data and metrics collected by the Apple Watch into personalized guidance.
Apple’s Health App Hits Developer Beta. I Got the Inside Scoop From Apple’s VP of Health
From readiness, longevity and AI insights to blood tests and movement assessments, we covered everything about the Health app’s redesign.
Apple Releases First iOS 27.2 Beta
Apple today seeded the first beta of an upcoming iOS 27.2 update to developers for testing purposes, with the update coming just two days after the iOS 27 launch. Apple also seeded an iPadOS 27.2 beta. Registered developers can download the beta updates by opting in under Settings > General > Software Update and selecting the iOS 27 developer beta. Siri AI will be available in new languages later this year, and support could be added in iOS 27.2.
Apple releases first iOS 27.2 developer beta for iPhone
Apple has released the first iOS 27.2 developer beta for iPhone. The update follows the release of iOS 27 to...
MindsEye Developers Say They've Been Laid Off Amid Questions Over Build a Rocket Boy's Future
Multiple developers of the disastrous MindsEye have said they’ve been laid off, casting doubt over the future of its controversial developer, Build A Rocket Boy.
MindsEye Developer Seemingly Shutting Down after New Round of Layoffs
Is this the end for Build a Rocket Boy?
Xbox's Fable reboot was allowed a 10-year development because the RPG series is "vital to the DNA of the platform", developer Playground Games says
Fable survived its long development cycle because people inside Xbox think highly of the franchise.
North Carolina’s Southeast welcomes new Director of Business Development Savannah Taylor
Savannah TaylorSavannah Taylor, a career economic development professional, has accepted the role of director of Business Development at North Carolina’s Southeast. She officially started in the position on Sept. 14.“North Carolina’s Southeast’s success has long been based on strategic collaborative engagement and leadership among our team and with our partners, so a key aim was to find someone who aligned with those dynamics,” said NCSE President Steve Yost in a press release. “Savannah has strong experience for this position through her previous roles in local economic development, research, and policy development, and it became clear that she would be an excellent match in helping to advance the mission for our 20-county region. We couldn’t be more excited to welcome her to the Southeast.”Before joining the Southeast team, Taylor lived and worked in Georgia as an economic development project manager for the City of Marietta and as public policy & research manager and research director for the Georgia Chamber of Commerce Foundation. She has successfully led public policy and strategic project initiatives related to statewide community development and has served on several special committees, including the Metro Atlanta eXchange for Workforce Solutions Research Committee and the United for ALICE Georgia Research Advisory Committee. “After previously working at the state and local level in Georgia, I knew I was looking for a local or regional organization as my next step,” said Taylor in a press release. “I wanted to find a highly collaborative environment, and that led me to North Carolina’s Southeast.”Taylor graduated from Georgia College & State University with dual degrees — a B.S. in Economics and a B.A. in World Languages and Cultures. “I’m really looking forward to interacting with the organization’s partners and all of the local developers,” said Taylor in a press release. “Overall, I think I’m most excited for the new adventures with all the hiking and biking and everything else there is to explore in the region. I hope if anyone has any recommendations, they’ll share them!”
PS5 Linux developer drops project after "last" hypervisor bug is reported to Sony
TheFloW is leaving the PS5 development scene after a dispute over disclosure of a hypervisor vulnerability. His unfinished PS5 Pro Linux support was planned for 2027.
Ukrainian defence tech seeks new ways to scale up
Since Russia's full-scale invasion in February 2022, Ukraine's defence sector has expanded several-fold, becoming a significant source of military innovation, especially in unmanned systems, counter-drone technologies, electronic warfare and AI-driven combat systems. But finding the funds and personnel to scale up and to reach international markets remains a challenge.Spurred on by the demands of the front-line, Ukrainian defence companies say they can develop a minor component in a couple of weeks, or major hardware or software solutions within a year. This is several times faster than the usual development cycles in the sector. Tencore, founded in 2024, is now one of Ukraine’s largest providers of unmanned ground vehicles, well exceeding the production of NATO members in this category. Odd Systems, a Ukrainian combat cameras developer founded in 2023, launched its first thermal camera in 2024. Less than two years later, it is developing the fourth generation of the product, one that has evolved into a full vision system.According to Michael Singer, managing partner at Verne Capital, a venture capital fund supporting defence companies in Europe, this speed is down to the short feedback loop between the developer and the end user. “Ukrainian companies develop technologies in close interaction with soldiers and military units, test them under real combat conditions and rapidly incorporate feedback into the next generation of the product,” he says. “Sometimes we need to react to feedback and deploy an upgrade within hours,” says Polina Tymchenko, the spokesperson for Himera, which develops electronic warfare-resistant walkie-talkies. “It means that, as a company, you have to have a higher tolerance for risk, and also design your products in a way that fosters those quick changes.”Getting a product deployed by a combat command involves no paperwork other than a purchase order, says Perry Boyle, co-founder and chief executive of Mits Capital, a Ukrainian-US investment group focused on attracting capital for Ukraine's defence tech sector. “New weapons can be developed and deployed based largely on handshakes.”Nevertheless, the speed of development is largely subject to the level of funding, says Iryna Sukhomlyn, head of business development at RMachine, a developer of unmanned ground systems. “Financial support needs to start much earlier, particularly at technology readiness level 3-5, not only when most of the technological risk has already been removed,” she says.In 2025, Ukrainian defence tech companies attracted about $129 million in investment, with the true figure likely higher given the share of undisclosed security-sensitive deals, according to a report published by the Kyiv School of Economics. These investments were primarily concentrated in the AI and software segment, as they are considered a lower financial risk.Scaling production is a major barrierAccording to Iryna Supruniuk, business development director at Odd Systems, proving a defence product in Ukraine is not the end of the development process, but the beginning of a continuous evolution, since operational requirements change rapidly. “Continuous iteration remains our highest priority,” she says.It's also when production must scale up, which represents a major hurdle. “Scaling production requires capital, manufacturing capacity, components, certification, procurement access and reliable supply chains,” Singer says. Scale-up is also hampered by demographic pressures, especially a shortage of young specialists needed to expand engineering teams. Companies have reported struggling to replace specialists lost due to Russian attacks, mobilisation and emigration. In order to meet this scale-up challenge and finance arms production, begun allowing defence technologies to be exported, assuming it has an excess capacity. It has also announced the creation of ten defence and weapons export centres across Europe by the end of 2026.According to Singer, a technology that has demonstrated its value under real combat conditions has a fundamentally different credibility than a product that has only been tested in a laboratory or training environment. But combat validation alone doesn’t automatically create an international business. “Companies still need access to foreign defence ministries and procurement organisations, international certification, financing for production scale-up and, in many cases, local industrial partners,” he says.Already in 2026, the EU has signed several agreements with Ukraine that aim at joint defence technology development and production. These include allowing Ukraine to join the European Defence Fund, signing a financing agreement under the European Defence Industry Programme, and setting up the EU-Ukraine Drone Alliance.For Singer, it is important that European defence companies don’t just see their Ukrainian partners as technology suppliers, but rather as potential innovation partners. “Ukrainian companies bring speed, operational experience and an exceptional ability to iterate. European partners can provide industrial capacity, capital, established supply chains and access to European procurement markets.”Procurement possibilitiesWhen it comes to exports, the procurement and compliance processes involved require time, taking months or even years, and money. In other words, resources that small defence tech companies need if they are to improve and scale up their technologies. According to Sukhomlyn of RMachine, if the priority is to rapidly increase available defence capabilities, then the processes need to reflect that urgency. “If Europe wants defence innovation at wartime speed, its administrative processes also need to operate much closer to wartime speed,” she says, highlighting a need for support with certification, market access and mutual recognition of relevant testing. “Otherwise, we risk having excellent technology available but spending years making it administratively eligible to be purchased.”Related articlesRussia widens targeting of European research centresEU must support research managers in central and eastern Europe, says Visegrad fund headThis is a lesson Europe’s defence sector would do well to learn, Singer says. “Defence innovation needs to be organised around the speed and requirements of the end user, not around the speed of the bureaucracy.”Supruniuk says the European defence sector should rethink the balance between quality and quantity. “In many cases, a good-enough system available in thousands of units creates greater operational value than a perfect system available in dozens.”“For decades, everyone has been looking for that all-powerful, exquisite system that can protect everyone,” adds Tymchenko. “We see in crime that only scalable, dedicated, affordable solutions can actually defend democracies.”
Chinese scientists build world’s smallest CT scanner, weighing just 6kg
Compact and portable device can be used to analyse fossils and archaeological relics in the field, developer says.
'This Is a Place You Come to Work Hard' — Wardogs CEO Justifies Crunch as a Balancing Act
Joe Brammer, the CEO of Wardogs developer Bulkhead, has stated that the studio avoids hiring people that aren't willing to crunch.
PS5 Linux Dev Drops Project After "Slop Kiddies" Cash in on Crucial Exploit
Andy Nguyen, the developer behind the PS5 Linux project that released earlier in 2026, has officially declared that he will be stepping away from the PS5 modding scene before the release of support for Linux on the PS5 Pro that was under development. In an emotionally charged message on X,...
Fire Emblem: Fortune's Weave Almost Had Eight Protagonists
An interview with the game's developers also revealed there's a distinct reason Nun with a Gun exists
Meta now lets AI agents handle the boring parts of WhatsApp Business setup
A new WhatsApp Business MCP server lets developers use AI coding agents like Claude, Cursor, Codex, and ChatGPT to handle setup, messaging templates, testing, and troubleshooting.
Fable Developer Explains Why Xbox 'Protected' the Project Over Its Long Development Cycle, Amid Layoffs and Studio Closures Elsewhere
Fable maker Playground Games has detailed how its upcoming RPG survived a decade in development, amid layoffs and studio closures across the rest of Xbox.
Two Point Museum DLC ‘Rides & Relics’ announced
Publisher SEGA and developer Two Point Studios have announced Two Point Museum downloadable content “Rides & Relics.” It will launch on October 8.
Total War: SHOGUN 2 Complete Edition announced for PC
Publisher SEGA and developer Creative Assembly have announced Total War: SHOGUN 2 Complete Edition, which includes the base game, all downloadable content, and a range of improvements such as updat…
Warlock: Dungeons & Dragons Doesn't Have Waypoints Because the Devs Want Players to 'Figure Things Out' for Themselves
The developers of Warlock: Dungeons & Dragons have said they avoided putting waypoints into the game because they want players to actually explore.
Patuxent Business Park Seeks Developer For 10 Lots
Calvert County and state officials seek one developer to purchase and develop all 10 remaining lots at Patuxent Business Park in Lusby.
Jujutsu Kaisen Rumble: Survivaton delayed to 2027
Publisher Shueisha Games and Vampire Survivors developer poncle have delayed multiplayer survival game Jujutsu Kaisen Rumble: Survivaton from its previously planned 2026 release window to 2027. It …
Proposed hotels push out small businesses in downtown Jackson
Some businesses may be invited back as developers seek to preserve limited first-floor commercial space in downtown Jackson Hole.
Foundry developer proposes swap to keep Armory as entertainment venue
City Foundry STL developer Steve Smith is proposing an alternative to a plan that would convert the historic Armory building into corporate offices, suggesting the office space instead be moved across Interstate 64 to the Foundry.
Rayman Legends Retold delayed to December 3
Publisher Ubisoft and developers Ubisoft Montpellier and Ubisoft Milan have delayed Rayman Legends Retold from its previously planned October 1 release date to December 3. It will be available for …
Philadelphia faces calls for a data center moratorium amid spreading AI fear and talk of a slowdown
The activation in Philadelphia comes as leaders of the nation’s largest AI developers have signaled support for a global slowdown.
Virtuix Provides Business Update Highlighting 3X Omni One Order Growth and Expanding Defense and Enterprise Opportunities
Omni One Orders Increase Threefold Following Meta Launch Company Advances Defense Programs, Enterprise Sales and Acquisition Strategy AUSTIN, Texas, Sept. 14, 2026 (GLOBE NEWSWIRE) -- Virtuix Holdings Inc. (NASDAQ: VTIX), a leading developer of AI-driven, full-body simulation systems, today provided an update on the strength of its business and progress across its consumer, defense, and enterprise markets, as well as its acquisition strategy. The number of Omni One orders is up approximately 3X
Columbus developer opens music-themed apartment community in Huber Heights
The name of the development is short for "reverberation" and each of the layouts are named after famous musicians, playing into the music theme.
Fire Emblem: Fortune’s Weave ‘Overview’ trailer
Publisher Nintendo and developer Intelligent Systems have released a seven-minute overview trailer for Fire Emblem: Fortune’s Weave.
Politics live: Fugitive developer Jean Nassif details feud with David Elliott, telling Icac Liberals were ‘rejecting all my properties’
Follow the day’s news live
Lineage Sues Solar Firm for $1 Billion
Cold storage giant Lineage blames the “reckless conduct” of rooftop solar developer Altus Power – a subsidiary of private equity firm TPG – for igniting
GE HealthCare in talks over possible $1 billion deal for Sofie Biosciences, FT reports
GE HealthCare Technologies is in talks over a possible $1 billion deal to buy radiopharmaceutical developer Sofie Biosciences, the Financial Times reported on Sunday citing people familiar with the matter.
Level-5 Boss Addresses AI Backlash After Fans Hit Out at Game Reveal Showcase
Developer Level-5 has apologized for and explained its use of generative AI after fans spotted 'AI slop' in footage of games like Professor Layton and the Curious Village, DecaPolice, and more.
The Anti-Woke Right Can’t Figure Out How to Stop ‘Grand Theft Auto VI’
A subset of male gamers have spent years warning that the transgressive series has been neutered by progressive developers, but the backlash isn’t taking hold.
Moss studio Polyarc shuts down, becoming the latest casualty of a brutal year for VR
Moss developer Polyarc has closed after almost 12 years, the latest studio lost in a devastating year for VR game development.
The politics and possibilities of ‘AI could kill us all’
I found myself fielding a lot of questions from folks who don’t usually talk much about AI this week. They were mostly along the lines of “do you think AI is going to kill us all?” or “how worried should I be about this human extinction stuff?” Motivating this wave of existential anxiety was the highly dramatic resignation of now-former Anthropic employee Jacob Coxon, who quit his job while publicly sharing his concerns about safety practices at the leading AI companies. More specifically, he declared that almost everyone at OpenAI and Anthropic, the leading AI labs, believes that there’s a decent chance the AI systems they’re producing could “kill us all” by the end of the decade, and the companies aren’t “acting responsibly.” Other AI safety researchers, including those still employed at Anthropic and OpenAI, all confirmed that yes, Coxon is correct, they’re all worried that their company’s products might prove fatal for the entire human race as well. Two more AI employees quit and joined the chorus. Now, the warning shot has been covered everywhere from the Wall Street Journal to Fox News to WIRED to the Guardian. I understand why all this sounds scary, but my response to those who have asked, has generally been: No, you don’t need to worry that AI will kill go rogue and kill us all. But that does not mean we shouldn’t worry, period. Far from it. The companies building AI products are now among the wealthiest and most powerful entities in the world. And they very much are building enormous engines of mass surveillance, extraction, and automation. They can and have allowed their AI systems to carry out felony hacks of other companies, provided the government with autonomously generated kill lists, and sold enterprise technology to firms around the world that is explicitly intended to replace jobs. But “AI” has done these things not because they have all-powerful minds of their own but, ultimately, because people have programmed, calibrated, and directed them to. In other words, it’s not AI we need to worry the most about. It’s the people and corporations working to profit from and gain power by deploying it. The technology is sophisticated, sure, and, especially in cybersecurity contexts, potentially disruptive to plenty of existing systems. But if we want to stop this predatory, profiteering, and extractive form of AI—and it’s worth noting that at this point, most people do—we absolutely can. A quick note/plea: I can only do all of this with the support of readers like you, so if you find value in independent, critical tech journalism and analysis, please consider becoming a paid subscriber. I want to keep as much of this un-paywalled as absolutely possible, and I need your support to do so. Many thanks to all who continue to chip in, it’s very much appreciated. Onward. Subscribe First, some context: AI industry folks like Coxon have been discussing the prospect that AI will destroy humanity for years. Even before the beginning of the AI boom, many working in the industry, from the executive staff to the rank and file researchers, have obsessed over ‘x-risk’, or the possibility that AI will become sentient or semi-sentient and move one way or another to exterminate humanity. This is ostensibly why Elon Musk bankrolled OpenAI in the first place, and is the grounds for his lawsuit alleging OpenAI betrayed its charter by abandoning its nonprofit status to become a commercial enterprise. Many AI engineers and startup founders have calculated their own personal p(doom), or the probability that the tech product they are working on will initiate an actual humanity-extinguishing apocalypse. 10-25% p(doom)s are pretty common. (I wrote about a long weekend I spent among these folks at one of their top conferences here, to give you an idea of their ideas and belief systems.) Sam Altman himself drove the narrative of the imminent rise of a super-powerful AI, or artificial general intelligence, to prominence by declaring that the technology he was building posed an existential risk to humanity. This idea is in other words baked into the DNA of modern AI companies and into the products they engineer. It’s also why the industry is routinely accused, by myself and others, of “doom marketing,” ie, using such proclamations and framings to impart the sheer power of the technology behind your product onto investors, partners, consumers, and the state. Some ambient understanding of this tendency may have helped prevent the press from repeating the claim every time one of the x-risk folks made it over the years, including when they quit their jobs at AI companies while doing so. Yet Coxon’s AI x-risk alarm has broken containment, as they say, and has exposed the idea to the mainstream media once again. This has happened, I think, for a number of reasons. First, when AI CEOs were going around saying AI might kill everyone in 2023, their companies were well-capitalized, but not nearly to the extent they are today. They were more easily dismissed as eccentric geeks of the sort that Silicon Valley is supposed to produce. Now, not only do their products have much greater market saturation, but people are more aware of a) the often unethical ways the executives and companies comport themselves b) the other adverse impacts of AI that have already arrived, and c) the physical cost of building these systems, particularly when it comes to data centers. Finally, toss in the constant stream of headlines in 2026 about AI models going rogue or potentially upending the world’s infrastructure. [ ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) [ With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial. ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) Brian Merchant · Aug 27 [ Read full story ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) As a result, general sentiment was already overwhelmingly skeptical of AI and its overlords, so the table was pretty well set for someone to come along and say ‘just a reminder, the companies that are building the product that promises to take your job and leave a data center in your neighborhood also think that it might exterminate the human race’ and get a strong reaction from the media and the public. The question is: Should we understand this stuff as hype, strategically fanned to feed already swelling valuations? Is it doom marketing? Genuine cause for alarm that the infrastructure that undergirds modern life is facing a novel threat vector? Or reason to be sincerely worried that AI companies are amassing too much power, and that their products are genuinely dangerous? The answer, I’m afraid, is “yes.” Let me try to untangle all of this a bit, because arguments over how to navigate this moment are extremely heated right now, as they are essentially arguments over how to approach the politics of AI at a moment where there may be a unique opening for action. Those sympathetic to AI alignment concerns and x risk arguments—which increasingly includes a faction on the left who want to shut down AI over safety concerns—argue that people who dismiss AI as all hype have their heads in the sand. Meanwhile, critics of the x-risk narrative—which I might note includes a cadre of investors and tech folks on the right, too—argue that it is hype and can be used to further inflate valuations or for pursuing regulatory capture. The challenge is that many feel that dismissing AI as just hype or purely marketing also diminishes the urgency of taking on the AI industry as the novel and threat to labor, civil society, and the public sphere it is; others that by accepting the industry’s own terms, we imbue it with undue power and enable it. But let’s be clear: Declarations that AI is so powerful it might end the world are a kind of marketing, and anyone who says otherwise is just as off base as those who say that’s all that it is. If you don’t think that these sub-trillion dollar companies have higher-ups who noticed that when their founders talked about super-powerful dangerous AI they got spikes in media interest and phone calls from investors, or that those founders didn’t notice that themselves, and lean into certain narratives to advantage their products, then I don’t know what to tell you. Not all marketing is a Pepsi ad campaign with a celebrity spokesperson. Yet confronting the AI industry should certainly be considered an urgent project. Do I share the x-riskers’ fear that out-of-control, super-intelligent AI agents might end the world? I do not. I’ve read a good deal of AI extinction literature over the last couple of years and I have not come across a credible, step-by-step documentation of how exactly AI might move from self-recursively improving AI to killing every single human on the planet. Most of what I’ve read seems predicated on a sort of reverse Ian Malcolmian logic: Eventually, it becomes smart enough and AI, uh, finds a way (to exterminate humanity). Are the AI companies also overstating and dramatizing what their products can do? Yes, pretty much all the time. They’re in a knife fight for market share and are trying to win customers and government contracts before their investors come knocking. And yet. They have concentrated enormous amounts of compute, have extensive data collection and surveillance capacities, have inserted themselves into the state in numerous capacities, including military kill chains, and they are being run by egomaniacal billionaires who are rushing to monopolize an entire new market. The way I think about their most recent frightening-seeming exploits is not as a “swarm of rogue AI agents building a new civilization” or whatever, but as corporations with a hitherto-unimaginable amount of compute at their disposal recklessly experimenting with automation programs, completely unafraid of any repercussions because we have been unwilling or unable to impose any on them. So I think we should welcome any newfound imperative to hold them accountable. I also think that ultimately, the AI critics, Pause AI folks, leftists, doomers, effective altruists, and, honestly, most of the public, want a lot of the same things: legitimate checks and limits on AI companies’ power, actual transparency into what the companies are doing, and for more of AI to be under public control. (Ultimately, a lot of what animates the x-risk fears are rooted in just that: a fear of losing control.) How we move towards all this, exactly, is the question of the day, and while there’s much to be argued over in terms of building a viable political platform to challenge the AI industry’s power, I do want to cast a vote against one particular approach. Not to pick on Chris here, as there are a lot of folks out there proposing stuff like this, and the policy ideas actually stem from AI safety groups. But not only would this be challenging to land politically (I can already hear the ‘China will beat us to AGI’ calls) and all but unworkable in practice, this approach is a) far too limiting, b) fails to address the current harms caused by AI and c) would likely only wind up serving Anthropic and OpenAI; it’s what regulatory capture looks like in action. Full model transparency is the floor for what should be on offer here. If these companies believe their products will kill us, the very least we deserve is to know how. It’s in the public interest. I would also argue we might get a lot of the way to stopping any currently envisioned robot apocalypse simply by forcing AI companies to assume liability, and to submit to the full brunt of the law. If Sam Altman were liable to be charged with a felony for approving the hack on Hugging Face1, if Google was forced to pay defamation fines each time it published a false and injurious AI Overviews, these companies might suddenly find cause to restrain their models’ output, and we might hear less about rogue AI. We would need to introduce new frameworks and available tools for tracking automated lawbreaking, to be sure, but I’d wager that little would frighten the AI companies more than actually being held accountable for what their products enable. To that end, Illinois has passed an AI liability law, which the industry fought tooth and nail, and Florida is considering one. The next steps would be towards moving AI under public control; again, it’s only reasonable, since everyone, not just AI insiders, should get a say over how a technology whose developers say might kill us is developed and deployed. Dismantling the whole industrial project as currently structured should be on the table, too, pending democratic input. But that’s for another post. For now, suffice to say that while I won’t be losing any sleep about an AI-enabled extinction event, Mr. Coxon and co. have given us an opportunity to underscore the urgency of the clear and present damage AI companies are doing, the extreme power they wield and the extent to which they hold themselves unaccountable, and the abundance of political capital there is out there for taking them on. Subscribe 1 Purely speculative! I do not know if he did or not.
Melty Blood: Twi-Lumina launches April 22, 2027
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Mixed-use development to honor late developer
Fayetteville-based High Street Real Estate and Development plans to invest $7 million in an eight-residence building with a restaurant space at Johnson Square. The building is named in honor of...
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Apple Seeds iOS 27 and iPadOS 27 Release Candidates
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macOS Golden Gate Release Candidate Now Available
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Prologis bets on Chicago-area warehouse demand with $100M Minooka project
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Entertainment District Around Akins Ford Arena Starts to Take Shape
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Exclusive: Two of gaming’s biggest names are making a big investment in gaming’s future
The first thing to know about the Nova Games Foundation is that it isn’t about The Game Awards. And it’s not about PlayStation. The ambitious new grant program is the brainchild of Geoff Keighley and Mark Cerny. Keighley is the host of The Game Awards, Summer Game Fest and Opening Night Live. Cerny is a game designer of some 45 years and the lead architect for the PlayStation 4 and 5. But this new thing, which they’re revealing through Game File, isn’t about their day jobs. It’s an unaffiliated, standalone philanthropic project. It’s a bet on the artistic future of video games and a way, they tell me, to give back. “I’m nearing the end of my career,” Cerny recently told me over email. “I’m not done yet, but paying it forward—in the best way possible—is very much on my mind these days,” The Nova Games Foundation is a university-affiliated fellowship program, intended to offer six-figure grants to 20 young game designers each year, potentially for decades to come. It will offer no-strings-attached funding along with mentorship from games industry leaders, a combination intended to aid the development of groundbreaking new games, Cerny and Keighley told me. Nova will begin accepting applications in December, from class of 2026 and 2027 students from 13 affiliated gaming programs at universities in eight countries. The schools working with Nova include the New York University and the University of Southern California in the U.S., along with Abertay University in Scotland, Cnam-Enjmin in France, TH Köln in Germany, and the Royal Melbourne Institute of Technology in Australia, Cerny and Keighley said. The plan: $100,000 per recipient, with about a quarter of Nova fellows eligible for up to $500,000 more for projects that are shaping up particularly well. Payments will be delivered based on development milestones, and recipients will own their games. Nova will help promote the work, and developers will be free to pursue the publishers and platforms of their choice. Nova can help introduce fellows to publishers, but won’t take a cut. “I’ve always wanted to give back, but given my role in the industry, I’ve never felt it appropriate to commercially invest in games,” Keighley told Game File. “I’ve never owned stock in a game company or taken a financial stake in a game. Nova is philanthropy: we aren’t taking equity or looking to recoup the grants. The return we’re hoping for is creative—helping new voices make games and find their footing. “Mark and I have each made multi-million-dollar donations to establish the foundation, and we intend to keep contributing. We hope others will join us.” Cerny and Keighley have already hired an executive director, John Maconga, and a head of grants, recent Game Developers Conference director Ashley Corrigan, to help launch the effort. They’re working to recruit game industry leaders to join the effort. Keighley says “dozens of leading game directors have already expressed interest in contributing their time.” To name one, they’ve already gotten Josef Fares, lead designer from It Takes Two and Spit Fiction studio Hazelight on board with a donation and pledge to help out. “I’m proud to support Nova because it gives the next generation of creators the freedom to explore their creativity and hopefully bring their unique visions to life,” Fares told Game File. A plan forged from a friendship Keighley and Cerny have known each other a long time. It’s been so long, Cerny isn’t even sure exactly when they met. “We travel in much the same circles and I’m sure first intersected in the 90s or early 2000s,“ Cerny said. Keighley thinks it might have been during his stint writing a column about the mid-’90s console 3DO for a gaming magazine while Cerny was working on games with Crystal Dynamics or on Way of the Warrior with Naughty Dog. They became genuine friends about a 10 years ago, Keighley said, as they bonded over a shared love of games and a hope to improve the industry. “About a decade ago, we started having dinner a few times a year in LA,” Keighley said. “Just to catch up on life and the industry. Those conversations continued over Zoom during COVID. Nova grew out of that friendship and a question we kept coming back to: ‘What could we do to help the next generation of game directors get started?’” Keighley credits Cerny with the idea to figure out a way to put their money and time back into the industry. At one of those dinners, Keighley proposed the idea of a fellowship program. He’d recalled applying for a Rhodes Scholarship when he was younger. “Spoiler: I didn’t get it,” he said. He’d admired the MacArthur Foundation’s so-called “genius grants.” He liked these kinds of programs that recognized people’s talents and gave them the financial boost and the freedom to realize their potential. With Cerny, he had pondered what a game industry version of that could be. Keighley liked the idea of centering the fellowship on students, drawing inspiration from the accomplishments of Jenova Chen, the USC game design graduate who went on to lead the creation of gently moving, ambitious games such as Flower and Journey. Keighley also thought it could be useful to help promising graduates bridge the transition from student to professional. “Joining an established studio isn’t always possible—especially in today’s market—and even then, it isn’t the right path for everyone,” Keighley said. A fellowship, he realized, could give “graduates the time, resources and guidance to pursue a game of their own and not worry about the commercial viability.” As the idea took shape, Cerny also saw an opportunity to enable more games of a certain type: “The target with the grants is games as an artistic medium,” Cerny told me. “We like to say games with ‘artistic, literary and societal value.’” He added: “I’m a pretty big gamer myself, though I tend to gravitate towards the smaller and more unique or artistic titles, games like Neva, Abzu, Gorogoa, Stray or Outer Wilds. I was just playing and Roger on a flight to Japan, and was getting misty eyed to a degree that I was concerned that a flight attendant would ask me if I was OK. “So one fun benefit here is the games that will come out of the Nova Games Foundation – I can’t wait to play them myself.” Cerny believes it will also be useful for Nova fellows to hone their craft and team leadership skills. “We are looking for the next generation of visionaries,” he said. “The trick is that they will also need to have the executive function necessary to drive a small project to completion.” Game File is a reader-supported publication. To receive new posts and support my reporting, please consider becoming a free or paid subscriber. Subscribe Going big with this Keighley and Cerny may have started Nova and may be the ones primarily backing it right now, but they’re dreaming of something that goes beyond them. “Mark and I may have helped get it started, but one of our measures of success is that Nova grows into something the entire games industry feels a sense of ownership in,” Keighley said. “Our ambition is to build a lasting endowment supported by people and companies across the industry, and an equally broad community of creators willing to give their time and experience to the next generation.” The industry has a lot of knowledge that it can pass to the next generation, Keighley said: “Nova can hopefully become a way to connect that generosity with talented young creators at the moment when it can make the biggest difference.” Cerny, who told me he believes Nova can mature “over the next 10 or 20 years,” sees an opportunity to give generations of game makers momentum. “The industry has changed immeasurably since I started in games in 1982,” he said. “These graduates have talent, training and tools that outclass what we had back in the day by an astonishing amount. But they face a tough road ahead getting traction in the industry, and many could benefit from our support. We want to be there to give it to them.” “There’s a personal side to this, too,” Keighley said. “I don’t have children, and I’ve spent a lot of time thinking about what I can do for future generations. Games have been my entire career. I’ve been incredibly fortunate, and helping someone else build a life in this industry feels like a meaningful way to give back.” Cerny’s oeuvre dates back to Marble Madness and Sonic the Hedgehog 2. He has stood on stage multiple times to reveal the future of PlayStation hardware. He’s been an executive producer for a string of modern PlayStation classics such as The Last Guardian and Marvel’s Spider-Man. Nevertheless, of Nova, he said, “It’s certainly not like anything I’ve done before.” Nova Foundation applications will be due in December and the first wave of fellows will be announced in March 2027. A full list of participating universities and steps students and recent graduates can take to apply to become a Nova Fellow is forthcoming.
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Developer Plans Two Entertainment Venues On Historic 2nd Avenue In Nashville.
Visit the post for more.
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