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7,300 Years Ago, One of Earth's Worst Eruptions Hit Japan. What Humans Did Next Surprised Scientists.
"The disaster caused major loss of life."
How a high school science teacher stumbled upon the 1st known T. Rex trackway
A teacher has discovered the first known trackway of an adult T. Rex, which could shed new light on how the iconic dinos moved around the planet more than 66.5 million years ago.
What history shows about language and behavior in U.S. politics
Vulgarities in public by some politicians no longer seems especially unusual or politically destructive compared to cycles years ago.
This Secret In Greenland's Soil Helped Scientists Win An Emmy
The sediment sample studied in this documentary was unearthed at a Cold War-era military camp in Greenland, with a secret from 400,000 years ago.
Familiar faces rejoin 'The Book of Mormon' on Broadway: Nikki M. James and Rory O’Malley
Nikki M. James and Rory O’Malley have returned to “The Book of Mormon” on Broadway for the first time since they left some 12 years ago. James describes the experience as surreal, comparing it...
Familiar faces rejoin 'The Book of Mormon' on Broadway: Nikki M. James and Rory O’Malley
Nikki M. James and Rory O’Malley have returned to “The Book of Mormon” on Broadway for the first time since they left some 12 years ago. James describes the experience
Bones of an 'Extinct Giant Crane' Named 150 Years Ago Turn Out to Belong to a Different Species
A case of mistaken identity.
Wild Bill Belvin’s survival bet in the Florida bush
There was a time when the man you see in this photo, taken a mere 95 years ago, was only considered slightly imbalanced, like your uncle or a cousin or
Three talking points from the Premier League
Arsenal moved top of the Premier League with a statement 1-0 win at Liverpool as Manchester United plunged further into crisis with a 2-0 defeat at Chelsea.AFP Sport looks at three talking points from the weekend's action: Arsenal show grit of champions There are few feats Mikel Arteta has not achieved since taking charge of Arsenal seven years ago but a Premier League win at Anfield had eluded him until Sunday.
Soaring health insurance costs are quietly preventing wages from rising higher, while workers also shoulder a larger share of premiums, economist says
If employer contributions had instead grown at 3%, which was the pace a few years ago, wage growth would be about 0.2-0.3 percentage points faster today.
Scientists shrink Archimedes’ screw to the size of a single molecule
Scientists have built a groundbreaking molecular motor that spins in either direction using electricity, inspired by a machine invented more than 2,000 years ago. Even more remarkably, its rotation can boost electrical conductivity by up to 100 times, potentially transforming the future of molecular electronics.
The Best Time to Fix Your Business Is When Things Are Going Well by Nathan Tayloe
There's a pattern I've noticed working with growing businesses over the years. Conversations about what needs to change rarely happen when things are going well. They tend to happen when growth slows, a competitor starts winning business, or something that used to work stops producing the same results. By then, the decisions are often harder, more expensive, and more urgent than they needed to be. It's understandable. When revenue is growing, customers are coming in, and employees are busy, there's little incentive to question what's working. Leaders have plenty to manage without creating new challenges for themselves. Running my own business has taught me that it's easy to get caught up in what's happening today and put off improvements you know will matter tomorrow. Those periods of success may actually be the best opportunity a business has to make meaningful improvements. When Success Makes Change Less Urgent Most businesses have things they know could be better. The challenge is finding a compelling reason to address them when everything appears to be working. Maybe the company has outgrown its original positioning. Perhaps internal processes haven't kept pace with growth, or the customer experience has become inconsistent as the organization has expanded. These issues don't necessarily prevent a business from growing. Strong demand can make them easier to overlook, especially when teams are focused on keeping up with the work already coming in. Over time, small inefficiencies become accepted ways of operating. Outdated processes remain in place because they've always worked well enough, and opportunities to improve get pushed aside in favor of more immediate demands. The business continues moving forward, but some of the things supporting that growth aren't getting stronger along with it. The Advantage of Acting Early When a business is performing well, leadership has something valuable: options. There's more flexibility to invest, experiment, develop people, and make thoughtful decisions without the pressure of an immediate problem that needs solving. Compare that with trying to make the same changes when revenue is declining, or the market has shifted. Investments become harder to justify, timelines get compressed, and decisions that could have been made strategically become urgent responses to circumstances. I've seen businesses postpone improvements for years because there was never a particularly good time to address them. Eventually, circumstances decide for them, often when they have fewer resources and less flexibility to respond. Growth Changes What a Business Needs This is especially relevant in a growing market like Wilmington, where new businesses, new residents, and continued investment are creating opportunities across the region. As organizations grow, the expectations placed on them change. Customers expect greater consistency, employees need clearer processes and opportunities, and leadership has to make decisions that support a larger, more complex business. What worked when a company was smaller may still work today, but that doesn't necessarily mean it will support where the organization wants to go next. Sometimes the most valuable improvements are the ones that prepare a business for demands it hasn't experienced yet. That might mean: Strengthening internal processes before they become bottlenecks Developing leaders before the organization depends on them Improving the customer experience before inconsistencies affect retention Revisiting positioning before the market outgrows the company's story None of these changes requires a crisis. They require recognizing that a growing business needs to keep evolving, even when current performance gives leadership little reason to worry. Use the Good Years Wisely Successful businesses don't need to constantly reinvent themselves. There's value in knowing what works and having the discipline to build on it. There's also value in occasionally asking whether the business is as strong as its current performance suggests. Are there problems we've learned to work around instead of solving? Are we still operating the way we did several years ago, even though the business has changed? What would we improve today if we weren't waiting for something to go wrong? Success creates the freedom to ask those questions and act on the answers. The businesses that make the most of that opportunity are often better prepared for whatever comes next. The strongest businesses don't need a crisis to recognize an opportunity to improve. They use the good years to prepare for the years ahead. — Learn more about how we help organizations strengthen their positioning, align their strategy, and prepare for what's next at tayloegray.com, or reach out directly at nathan@tayloegray.com.
Scientists Discovered a 237-Million-Year-Old Sea Monster, and It’s Changing What We Know About Amphibians
This armored amphibian lived in the ocean 237 million years ago, challenging what scientists thought possible for its kind.
While mud-coring in Baffin Bay, scientists accidentally found the marks of a mile-thick ice shelf that blocked three massive ice sheets
A 2023 mud coring excursion mapped seafloor marks of an ice shelf up to 1.3 miles thick that filled Baffin Bay about 20,000 years ago.
Harry Houdini Died On Halloween 100 Years Ago. According To New Investigations By A Former Surgeon, No He Didn't.
The surgeon-turned-investigator noticed a few oddities in one of the death certificates. Have details of Houdini's death been changed?
Scientists think our recent ancestors may have run hotter -- but why?
150 years ago, average human body temperatures appear to have been higher than now. Scientists are still exploring exactly why.
Commentary: Democracy can be surprising, as elections around the world show
On America’s Election Night 10 years ago, I was a diplomat with the U.S. mission to Somalia in Mogadishu. We were hosting a watch party with local political, business and
75,000-year-old Neanderthal may have been killed by a spear aimed at the heart
A Neanderthal who died 75,000 years ago may have been killed by a wooden spear deliberately aimed at the heart, revealing rare evidence of prehistoric violence. A circular hole in the shoulder blade suggests the weapon pierced the chest and caused a rapidly fatal injury. Surprisingly, the same individual had survived an earlier devastating facial injury, suggesting other Neanderthals provided care and support.
In Todd County, vaccine skepticism fuels measles surge
Distrust of government, fears over vaccine safety and limited experience with a disease that was virtually nonexistent 20 years ago are causing more parents to decline once-routine vaccinations for their children, officials say.
What sets high-end chocolate apart? This business has an answer you can eat
40 years ago, a school custodian got curious about premium sweets. Then he founded Chocolate Necessities
Aggie Foundation helping First District Health Unit expand healthcare services
A group of friends that came together 14 years ago are still working together to make communities better.
Some of the world’s biggest bats are getting smaller
Madagascan flying foxes aren’t as mighty as they were 150 years ago. The big bats have shrunk, possibly due to selective hunting or other human impacts.
A golden age of science is coming
It’s almost hard to remember, but just a few years ago, a lot of very smart people thought that science was in terminal decline. Respected researchers were writing papers with titles like “Are Ideas Getting Harder to Find?”, “Papers and patents are becoming less disruptive over time”, and “Slowed canonical progress in large fields of science”. In 1996, science writer John Horgan even published a book called The End Of Science: Facing The Limits Of Knowledge In The Twilight Of The Scientific Age. The fundamental idea was that the Universe only has so many insights to discover, and that we’ve picked the low-hanging fruit. It was the idea that Joseph-Louis Lagrange expressed when he said that “we cannot find more than once a system of the world to establish.” As the big ideas and the simple ideas get mined out, we’re forced to throw ever more brains at the mysteries of nature just to keep scientific progress going at a fraction of its old pace: It looked like science was hitting a wall. Then along came AI. It’s far too early to tell how much AI will eventually speed up the growth of total factor productivity. But already we can see signs of a speedup in science. Anthropic Founder Jack Clark assembled some of the hopeful data points in a recent lecture: [ Dror Poleg@drorpoleg "If you pick different parts of science, you see the same pattern show up: Progress is accelerating, and it has started to accelerate in the last two years." Jack Clark @jackclarkSF I’m speaking at the IMF in an hour about the singularity and why I believe it has begun and the choices we'll need to make. Watch live here: https://t.co/Hj9HzcXx5h 6:08 PM · Oct 18, 2026 · 21.2K Views 2 Replies · 10 Reposts · 123 Likes ](https://x.com/drorpoleg/status/2111882070376980529) Anthropic is accelerating its investment into drug discovery, and is already announcing some impressive preliminary results: [ BioTender@Junioryu136689 BREAKING: Anthropic unveils early results from six Claude-powered drug development collaborations. • 70% shorter CAR-T signaling domain • ~35,000 antibody designs • >10× tighter antibody binding • 89% less batch-record review time Still largely preclinical. Anthropic @AnthropicAI Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of 9:43 PM · Oct 27, 2026 · 11.2K Views 3 Replies · 24 Reposts · 205 Likes ](https://x.com/Junioryu136689/status/2115197821150495150) Claude also appears to be enabling rapid progress toward a treatment for food allergies. OpenAI, meanwhile, announced a possible breakthrough treatment for neurodegenerative disease. Meanwhile, Google Cloud Chief Scientist Pushmeet Kohli has a list of recent scientific advances that have been enabled by its new Gemini model, including breakthroughs in nuclear fusion reactor design, rare disease research, and quantum computing: [ Pushmeet Kohli@pushmeet Gemini 4 Argon is a step change in model performance. In recent weeks, it has had a transformative impact on the Science projects in our team at @GoogleDeepMind and our external collaborators, and helped make a number of remarkable advances across scientific disciplines. 🧵👇 4:47 PM · Oct 13, 2026 · 36.5K Views 8 Replies · 41 Reposts · 497 Likes ](https://x.com/pushmeet/status/2110049807385702623) But as cool as these stories sound, they’re just very minor, preliminary efforts. There are a number of reasons to think that AI is going to propel us into a golden age of scientific discovery. That age might not last forever — AI might still run into diminishing returns eventually. But the next few decades are probably going to be an absolutely amazing time for human science. The number of “effective researchers” is no longer limited The most important input into science is scientists themselves. Until this year, that meant human brains — talented, highly trained human brains. The number of trained human brains could be increased by sending more people to grad school, but only to a point — the smartest people tend to be sent into the hardest research fields first, and if you 10x the number of researchers, the average quality will go down. This constraint was already starting to bite, as Ekerdt and Wu argued in 2024: We argue that a substantial portion of the downward historical trend in U.S. research productivity is a composition effect resulting from self-selection in researcher ability and the dramatic expansion of the research sector…[W]e find that this composition effect has lowered average researcher ability by between 37% and 53%[.] And of course, low fertility was making the problem worse, because fewer children meant fewer people who were able to become future scientists. AI just blows up this constraint completely. If an AI agent can function as an autonomous researcher, there’s no constraint on the number of researchers in the world — you can just build more of them, by building more computer chips and data centers that enable the running of more AI agents. Whether or not massive hordes of agents can collaborate to solve individual problems much faster, increasing the number of agents allows them to tackle many different research questions in parallel. What’s more, these AI “researchers” can be trained incredibly quickly compared to human beings. A human scientist takes decades to train, and more years to reach the frontier of their research field by diligent reading and conversation. This is the “burden of knowledge”, and it’s commonly believed to be one reason ideas have been getting harder to find — by the time human scientists can get up to speed, they’re often so old that their ideas are no longer novel. AI just annihilates this constraint — it can assimilate the entire literature and reach the frontier of research extremely quickly, and it can also tell human scientists where the frontier lies without forcing them to discover that for themselves. It can also pivot to new research directions more easily than humans can. And there’s also a self-reinforcing economic cycle here. Because scientific advances enable higher GDP, they enable more resources to be invested into the creation of yet more electronic “scientists”. Now that doesn’t mean the amount of scientific research goes to infinity — there may still be some essential bottleneck task that human researchers are still needed to perform. There are some indications that AI’s progress on open-ended conceptual research tasks is slower than in other dimensions, and it may be that humans are still needed to provide some of this long-term conceptual thinking. I’d bet against this being true for much longer, but it might be true for a long time. Even in this most “pessimistic” case, though, the amount of effective capital that scientists can use to leverage their work just went up by a lot. AI eliminates the theory bottleneck Science proceeds by an iterative process of theory and experiment. The theory part of that cycle is typically short, but non-trivial — it took a couple of years after the blackbody radiation spectrum was observed for Max Planck to come up with the quantum hypothesis to explain it, and decades longer before quantum theory as we now know it was created. It took about a year for Watson and Crick to figure out the shape of DNA after the requisite data was gathered. AI will basically eliminate the theory bottleneck entirely — or at least shorten the turnaround time between experiment and theory by an order of magnitude. AI is an absolute beast at math. Recently, an OpenAI model solved some of the most important open problems in computer science, math, and theoretical physics, and no one even batted an eyebrow because that sort of triumph is becoming increasingly commonplace. One of those solutions was a proof that the Standard Model of Particle Physics could be mathematically well-defined — a problem that human theorists had so far been unable to tackle. Not all research relies equally on theory, but understanding novel experimental results almost always involves some important component of either mathematical or spatial reasoning. That part of the task has now been made much, much faster. And on top of that, science is now open to a greater number of humans who aren’t naturally good at theorizing. AI can read the whole literature Much of the work of human scientists involves reading and understanding endless amounts of papers and going to endless conferences and seminars. The purpose of that work is to understand the existing scientific literature. Understanding the literature allows scientists to do the following things: Come up with new ideas for hypotheses to test Avoid doing research that someone else has already done Synthesize approaches from different areas or fields AI can reduce this effort to almost zero. Consider this excerpt from OpenAI’s blog post about their new research into neurodegenerative disease: The team divided the analysis among thousands of AI agents powered by GPT‑Rosalind, an approach we call distributed biological reasoning. The agents examined a whole-brain CRISPR atlas…a dataset showing how gene disruptions affect different types of cells across the mouse brain. Each agent investigated a gene disruption, analyzed cellular responses, searched scientific literature, and proposed explanations for the results. Their reports were combined into a reasoning atlas linking genes, cellular effects, relevant publications, and possible biological mechanisms. The research team estimated that comparable human analysis and literature review, conducted one perturbation at a time, would take months to a year. The agents reproduced findings from human analyses while uncovering additional leads. Their assessments of novelty and scientific value also aligned with judgments from blinded human experts. These findings help prioritize further experiments needed to test the proposed biological mechanisms. Some of these insights point to new leads for understanding brain disease. [emphasis mine] This is one case in which parallel work by a large number of agents really does make a huge difference: [ Haider.@haider1 this is actually insane openai deployed thousands of GPT-Rosalind agents to analyze millions of mouse brain cells in 32 minutes, work that could take human researchers months to a year also the agents uncovered new leads for brain diseases like Alzheimer's and Parkinson's OpenAI @OpenAI GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration? DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in 2:41 PM · Oct 21, 2026 · 51.5K Views 26 Replies · 95 Reposts · 1.26K Likes ](https://x.com/haider1/status/2112917197903540516) Not only does instantaneous literature review vastly speed up the research process, but it allows AI to make novel conceptual leaps from combining approaches from wildly different fields of research. AI regularly does this in math research, combining results, approaches, and theorems from far-flung places that no human mathematician would have thought to combine. It can do it in science, too. Much of scientific innovation, historically, has been “recombinant” innovation — scientists applying insights from one field to another. With AI, essentially all research is now cross-disciplinary — AI can read not just the literature on a particular subject, but the literature on a million other subjects that might have produced useful techniques or insights for the problem at hand. Superscience So far, all of the factors I’ve listed are ways that AI can speed up science as it’s already done. I’ve basically described how AI can send gigantic hordes of superhumanly fast, superhumanly well-read, superhumanly mathematically gifted researchers to re-accelerate scientific discovery. But it’s also possible that AI will enable types of discovery — and ways of understanding the natural world — that no network of humans, no matter how large or how brilliant it was or how long it had to work, would ever be able to discover. In a post back in July, I wrote about how that might work: What if there are lots of…aspects of the Universe that [are] too complex to understand in terms of simple laws, but not so complex that they just dissolve into unknowable chaos? It’s possible that we can reliably control these complex phenomena with AI, even if we never reduce them to the kind of principles that we can teach a grad student in a textbook… Another way of saying this is that there may be laws of the universe that humans can’t understand but AI can. I call these “cloud laws” — causal regularities that can be exploited by technology, but which are too diffuse and complex for an individual human being to either intuit or communicate… Perhaps social sciences like economics, sociology, and political science obey similarly complex regularities, and AI can help us find them. Perhaps there are physical processes — plasma, or topological materials, or aerial turbulence, etc. — that obey cloud laws instead of chaos?… [H]uman collaboration is bottlenecked — it’s limited by our ability to intuit patterns at an individual level, and to communicate these patterns from one individual to another. AI, being a computer, just doesn’t have this sort of limitation; it can work with vast, diffuse patterns without having to break them into pieces or simplify them in order to compress them into the tiny pipelines of person-to-person explanation… If much of the Universe turns out to be ruled by cloud laws, we could be on the precipice of a scientific renaissance. In order to discover cloud laws, AI will need huge amounts of data about the natural world. AI figured out human speech by assimilating essentially all of the text humans have ever written. If it’s going to figure out hidden patterns in biology, neuroscience, materials science, etc., it’s going to need similarly massive amounts of data from physical instruments. That data will be far, far more than humans — individually or collectively — would be able to parse, label, characterize, or model. But AI was built to do this. If scientists simply build huge arrays of sensors to measure complex phenomena like the brain, the cell, the economy, etc., they may be able to feed this flood of data to AI directly and bypass human cognitive intermediation entirely. AI would then learn about the world directly, and it might learn things that humans never could. This “superscience”, if you want to call it that, would actually go beyond the kind of science humans have done heretofore. Many of the technologies it yielded would be beyond human comprehension — indistinguishable from magic. But to the AIs, they would make perfect scientific sense. In any case, it seems clear that the scientific slowdown that threatened human progress will now be delayed — at least for a while. Unless humans have somehow found most of the actual exploitable regularities in our Universe, we’re about to enter a new golden age of science. Subscribe Share
Helpers needed for annual 'Santa's Shoppe' event
17 years ago, Trinity Church in Nevada City hosted an event for young children that let them come shop for gifts for their family members. The event quickly outgrew that
This painting went missing 20 years ago. Police tracked it down with the help of AI
Art theft is a global problem and police forces are struggling to keep on top of it. Now they are turning to AI software that snoop out the most cleverly hidden artworks.
40 Years Ago Women Couldn't Get Business Loans Without Men. That's When Hedy Ratner Stepped In
Four decades after co-founding the Women’s Business Development Center in Chicago, the 85-year-old says there's still work to be done.
Media and Entertainment Guide to AI
Just over three years ago, we published our first Entertainment & Media Guide to AI, exploring the legal and commercial implications of a technology that wa
Canadian firm buys discounted Evanston office building
A venture of Amcor Holdings paid $11.5 million for the 10-story building, a 64% markdown from its sale price eight years ago.
30,000-year-old bone found in French cave reveals vast genetic connections between people of Eastern and Western Europe during the Stone Age
Scientists sequenced the genome of a woman who lived 30,000 years ago and discovered that she had mixed Eastern and Western European ancestry.
How Clinica Esperanza’s ‘Navegantes’ Are Bridging Rhode Island’s Healthcare Gap for Latino Patients
Seven years ago, Jaqueline Medrano received an email about a free clinic in need of Spanish-speaking volunteers. Medrano, a first-generation undergraduate student at the time, said the email was a …
Hinojosa leans on Rio Grande Valley roots in battle with Abbott
Voter turnout in the Valley is already 63% higher than it was four years ago at this point.
More Madison area businesses are adopting AI, survey finds
About 83% of surveyed businesses used artificial intelligence this year, up from 51% two years ago, the 2026 Next Normal Regional employer survey found.
Dallas' Colossal raises $200 million to genetically engineer military dogs
The hunter gatherers who first selectively bred wolves for specific tasks 11,000 years ago could never have seen this coming. Last Thursday, a joint venture between Dallas’ Colossal Biosciences and
Early voting surges across New York as Hochul, Blakeman make final push
More than 485,000 New Yorkers cast ballots during the first two days of early voting, compared to more than 262,000 during the same period four years ago.
Chris Brown avoids prison time for brawling at a London nightclub
Chris Brown has avoided prison time for beating a music producer with a tequila bottle at a London nightclub three years ago. On Monday, a court gave him an eight-month
Small-business owner shares lessons on passion, research & earning customer trust
Cantrece Jones founded Acuity Design Group in 2008 and opened Aura Plant Studio more than four years ago. She said the businesses have grown gradually, with the plant shop expanding into commercial installations and event rentals as well as retail.
Earth’s first fully-marine amphibian stalked the seafloor with a chunky, bony body
‘Gerrothorax maritimus’ lived about 237 million years ago, when parts of China were covered by an ocean.
Chris Brown avoids prison time for brawling at a London nightclub
Chris Brown has avoided prison time for beating a music producer with a tequila bottle at a London nightclub three years ago. On Monday, a court gave him an eight-month
Scientists discover Arctic sea ice loss could be far worse than predicted
Arctic winter sea ice could disappear much faster than scientists previously expected, according to new research using climate clues from 6,000 years ago. By comparing ancient ocean sediments with modern climate models, researchers found that future winter ice coverage may be roughly one million square kilometers smaller than earlier predictions suggested.
Remembering Freddie Freeman’s Iconic Walk-Off Grand Slam
Los Angeles Dodgers first baseman Freddie Freeman hit one of the most important home runs in Dodgers history two years ago, today.
"It never was entertainment to us, ever. It was always something with a lot more importance and meaning." U2 reveal the unbroken promise that they made to one another as schoolboys in Ireland 50 years ago
"Music is not a matter of life and death, it’s something much more serious than that"
Democrats Bob Brooks, Paige Cognetti lead GOP incumbents in pair of key Pa. swing seats
Republicans are on pace to lose the two U.S. House seats they flipped just two years ago, according to a new Inquirer/New York Times/Siena University poll.
Netflix’s Leadership Shake Up…Explained
(Welcome to the “Most Important Story of the Week”, my bi-weekly strategy column analyzing the most important (but often not buzziest) news story of the last two weeks. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. Please subscribe.) Well, I had a simple article planned for this week. Called “Whoa, I Missed It!”, I’d take a gander at a few important-but-under-the-radar stories I didn’t cover while I wrote about all things “Skydance. (Formerly known as “the saga of Netflix trying to buy Warner Bros., but not Discovery, then Paramount-Skydance bought all of Warner Bros. Discovery”.) Alas, that article will have to wait. Netflix made news. Ironically, my “Whoa, I Missed It!” article would have mostly been about “content” strategy decisions, which is also what today’s article is about. But instead of the entire industry, this article will only cover Netflix’s decision to upend their film and TV content teams. Just that! So that’s the full topic of the day. I’m going to tackle the issue in the opposite direction of the way “stuff” flows: uphill. We’ll start at film, then move onto TV, and then onto the CEOs themselves, and the strategy questions that still remain. But we start with the numbers driving this. Let’s dive in. Subscribe Most Important Story of the Week - Netflix Upends Their Corporate Hierarchy I’ve got a lot of thoughts, but we’ll start with the most common response to yesterday’s article. Let’s Talk Stock Price More than one person, responding to what I published two days ago, pointed out that, well, actually, the thing driving Netflix’s actions is this: In short, stock price! Even if Netflix isn’t obsessed with their own share price—they probably are, but, for the record, my strategic advice to every CEO is to absolutely ignore stock prices, which will, ironically, probably help the stock price long-term—most everyone thinks they are. By the way, I prefer market capitalization to stock prices, because it’s a more apples-to-apples way to compare companies: But there’s an even better way to look at it, and it kinda casts some doubt on the entire push here: price-to-earnings. I have a long list of articles that I wish I had written, and chief among them is an article titled, “Am I Still a Netflix ‘Bear’?” meaning someone who thinks Netflix’s stock is overvalued. As of last summer, Netflix had solved their biggest problem—which for me (circa 2019) was the lack of free cash flow—but their stock was CRAZY overvalued. That’s this chart here: Why did Netflix’s stock price increase to a price-to-earnings ratio of 50 last summer? What financial metric changed so quickly? Nothing. Given that, historically, mature entertainment companies average 10 to 20, with 16 being the average, that increase made little sense. Netflix’s stock swoon these last eight or so months wasn’t irrational; the stock price rise last year was. So if you want a really hot Netflix take, here it is: Netflix’s stock price has been going down because the financial industry recovered its senses, not because of any strategic mistake. Yes, that would imply that cleaning house may have been a mistake. That’s why the charts yesterday are so important, because they show that Netflix did have a strategic problem (a lack of hits) and that’s what they moved to address. (One could also argue the industry drastically overrated Netflix’s growth prospects, but that’s a financial industry problem, not a Netflix strategy problem per se. Some growth estimates are just crazy. *cough* AI *cough*) Now, the last time Netflix’s stock price crashed—circa 2022—it gave them an opening. I’d argue Netflix insiders knew they needed to expand post-COVID-19 crisis, adding advertising, cracking down on password sharing, and dabbling in sports. But if they had done that when their stock price was high, it would give folks a reason to second guess their strategy. (Arguably, last year, when Netflix pursued the Warner Bros. merger, it gave the industry a chance to review their business.) Instead, after the 2022 fall, they had the opening to make strategic changes. We may see Netflix pivot again following this latest slide. For example, the “binge versus weekly” conversation is alive and well again. Same for expanding into theaters even more. And adding both linear channels and streaming bundles. And maybe more either social, user-generated, vertical, or creator content. But the first shift came with who is making the content calls. A Message from Our Sponsor Last winter Pulp Fiction was on Netflix. For those same 90 days, it was also free, with ads, on Pluto TV and the Roku Channel. That is not a glitch, and it is not rare. The title has run on 20 different US streaming services since 2019, across 80 separate windows, and for more than 600 of those days it sat on a paid subscription service and a free ad-supported one at the same time. Almost nobody can see this, because when a title leaves a service, the record that it was ever there tends to leave with it. Reelgood keeps that record, dated to the day rather than the month: 4MM+ movie, show and episode titles across 300+ services globally, with timestamped arrivals, departures and moves across SVOD, AVOD, TVOD and vMVPD. Licensing teams price against every prior window. Rights teams check what a licensee actually delivered, and when. Pick a title you think you know: data.reelgood.com/title-availability Film - Dan Lin Want to know why I don’t opine on individual film or TV executives, especially new hires? Dan Lin. As I always caution, it’s really, really, really tough to predict which executives will succeed in new roles and which won’t. The successful head of co-production/finance partner, Rideback, Lin was considered for the head of DC Studios job before taking the job as the head of Netflix. By all accounts at the time, this was a smart hire. (That’s my read of the news coverage anyways.) But now that Netflix has fired Dan Lin, we got a slew of news stories about how he was doing a terrible job. In sports media, Bryan Curtis, new Substack writer/podcaster from The Ringer, calls this the “now you tell us” story, when you only hear the bad news after a star athlete leaves a sports team. In this case, now they tell us that Dan Lin was bad with talent after he got kicked out the door. So was Dan Lin a flop? It’s actually tough to say. While film moves faster than TV, even two years isn’t really enough time to evaluate a person’s output. The new head hasn’t really taken control. As Emily Horgan noted, it takes much longer than two years to produce animated films, so yeah, it’s definitely too early to judge in that domain. As for live-action films, I just published an article by Brandon Katz called “Netflix’s Summer of Bummer”, but I’d point out Netflix had a bad summer two years ago too. Arguably, their best summer came from KPop Demon Hunters last year and Happy Gilmore 2, the latter of which I saw credited to Lin. Then, the stories came out that Dan Lin clashed with talent, both Ben Affleck and Greta Gerwig, classic “now they tell us” factoids to explain his firing. This may have been true, but also should have been expected given that he was given the mandate to bring budgets back in check, especially after Rebel Moon. So if he made folks upset, well, that’s what he was hired to do! But also, he was described as “well-liked” at his hiring! In that case, I’m a bit sympathetic to Lin, since he may have been undercut by senior leadership, as often happens. Basically, a CEO hires a subordinate to be their “bad cop” and keep budgets in check, but then when talent complains, the CEO ends up undercutting them. That’s how I think you end up with a Narnia movie as expensive as any of the other flops, along with a film executive the town no longer likes. As a result, I think that Netflix is now executing a classic “hire the opposite” move by hiring Peter Rice. This phrase comes from my experience following football and basketball coaching decisions, where teams generally hire the opposite of who they just had. If you have an offense-minded head coach, hire the defensive guy. Or in college football, if you have a strong recruiter, then you pivot to an “X’s and Os” type of guy. Or in pro basketball, if you have a very analytically minded coach, you hire the player-friendly guy. I see that here. After dropping Scott Stuber—arguably a talent-friendly executive with lax budget control—Netflix hired the business guy to keep costs in check. Now Netflix is pivoting back to Peter Rice and presumably a more talent-friendly regime. (Disney, by the way, has done this twice: hiring business guys to succeed talent-friendly Bob Iger. It didn’t work out last time.) When it comes to Peter Rice…we’ll see! Maybe he works out, but maybe he doesn’t. I’d actually say the biggest problem is that Netflix still hasn’t solved its “IP Problem”, in that they don’t own much IP, so they just have a lower hit rate. The new executive won’t solve that. (Though buying Lionsgate would help.) Share “Content” - Bela Bajaria I almost published yesterday’s article after this column, but ended up flipping the order, because it told the story so well. So if you want the data for why Netflix is looking at TV to fix their problems, it’s in that article, this graph in particular: I know I just wrote that it’s often hard to judge executives, but Bajaria ran TV for six years and film for three and a half more. That’s more than enough to judge hit rates, and Netflix needs more hits. That’s the story. Since 2023, Netflix hasn’t had as many hit shows as it used to, and many of its previous power house TV shows have ended their runs (Stranger Things most of all). Also, many shows from 2020 to 2022 probably pre-dated Bajaria’s tenure. (That said, one thing may have been outside of Bajaria’s control, which I explain below.) Let’s lump some content strategy thoughts about Netflix and TV into one place: We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… Why I partially blame Squid Game for Netflix’s latest troubles… What is “the football trap”... Why it might not be the TV shows or films’ fault at all… What change I don’t think Netflix will make... How Bela Bajaria evolved Netflix’s TV strategy in smart ways… Whose departure likely submarined Bajaria’s final few years… One sneaky explanation for Netflix’s content struggles... And a whole lot more... ...please subscribe! We can only keep doing this great work with your support.
Reddit discussions could help improve public health messaging on heat
Two years ago, Robbie M. Parks, an environmental health scientist at Columbia University Mailman School of Public Health, and Nathaniel Matthews-Trigg, director of climate and disaster resilience at Americares, founded an online community on Reddit, r/heat_prep, where members share information and advice about coping with extreme temperatures.
States are forcing hospitals to offer more people financial aid. In Oregon, it’s working.
Four years ago, Oregon hospitals were under fire from state authorities and patient advocates. Hospitals, critics said, had made it too hard for patients to apply for and receive help paying their bills. Within months, the state enacted a sweeping law that required hospitals to proactively screen patients and give financial aid to those who […]
Why were the Nazca Lines built?
The Nazca Lines are sprawling geoglyphs that were constructed on Peru's ground and hillsides around 2,000 years ago. But why were they built?
Scientists Just Discovered That Neanderthals Loved Eating Beaver
Scientists found evidence that our ancient relatives butchered beavers and marmots for food roughly 130,000 years ago. Yes, actual beavers.
Why did humans' brains surpass chimps'? A tiny foe might help explain it
A viral infection from millions of years ago may have influenced chimp brain evolution through DNA leftovers in the genome.
Today in Blue Jays History: Jays Win Second World Series
33 Years Ago Today I vividly remember that moment. Whether the Blue Jays won or lost, I felt confident we’d be okay. With Pat Hentgen lined up to start game 7 after his impressive outing in game 3, there was reassurance. Still, I’m grateful for how it all turned out. Even after countless viewings, Joe […]
Meet D. rex, the newly crowned giant fungus ‘king’ that measures almost 2 feet tall
Origins of a towering fungus identified in China traces back about 65 million years ago right after the mass extinction that killed the dinosaurs.
There’s a Reason That Netflix’s Ad Business Has Underwhelmed
Somewhat lost in the company’s slew of firings and engagement warnings over the past few weeks was the fact that Netflix is scaling back its ad forecast for 2026 from $3 billion to $2.7 billion. That’s despite the fact that: CTV is growing by 14-15% this year This year saw a monster upfront Netflix is the biggest streamer out there this side of YouTube, and was the platform that for years brands were supposedly dying to be a part of In other words, that’s an alarming pull-back from Netflix. A Wall Street analyst I spoke with last week was blunt, calling Netflix’s ad business “disappointing.” To me, a red flag on the ad front is that Netflix has never revealed how many ad-supported subscribers it has. Because if I know anything about how big companies work, if they have a positive number that makes them look really good - they tend to share it. (How many subs does go90 have right now? We’re not saying just yet. How are ads going on ChatGPT? Oh, a billion run rate - I see). Yes, to date Netflix has shared some fuzzy ad numbers, such as the idea that the company’s ad tier ‘reaches’ 250 million users globally.’ Here’s why that figure gives me pause: a)they lead with global, and b) they don’t explain how they are calculated. (Are they based on average people in each room? Surveys of some kind?). Regardless, some insiders say that Netflix’s ad tier is scaling nicely - others not so much. Either way, one of Netflix’s biggest challenge on the ad front appears to have been its starting point. Remember, when Netflix launched ads in 2022, it had 73 million subs in the US and Canada. That’s 73 million people who were used to Netflix with zero ads. And when the ad product rolled out, the company clearly was going after new users - a limited pool of potential subscribers by default. That focus seems to have changed over time, as Netflix has tried to convert longtime subscribers to the ad tier. Historically Netflix subscribers are very sticky. But is the company’s low churn a problem? Not necessarily, according to Antenna data. Rather, Netflix’s consumer loyalty is a bit of a double-edged sword. “Netflix is the one streamer which actually has seen substantial “trade downs” but has much lower ‘win backs,’ said Antenna founder Jonathan Carson (win-backs being people who were on the ad-free plan, cancelled, then rejoined on the ad plan). “Netflix has lower churn and so has less opportunity to win back old subs with a lower cost plan option.” This all might explain why Netflix has been so slow to roll out all of these table stakes targeting options until just this week. It likely didn’t have enough users to carve up into various targets. etc. However, what really hit Netflix’s ad business was Amazon’s move a few years ago to turn on advertising for Prime Video by default. Suddenly the market was awash in premium inventory, and Netflix was playing catch-up on multiple fronts. Thus, the streaming giant appears to still be figuring out if if wants lead in ‘programmatic TV,’ or premium ‘upfront’ TV sales. “The CTV market now sorts into three businesses, and Netflix is not the leader of any of them,” wrote analyst Jack Myers. Ouch. So how does Netflix ratchet up its ads business? Get the next NFL package You’re gonna have to wait until 2030 unless one of the bigger media companies like Skydance opts out, but the easiest (not cheapest) way for Netflix to become a huge TV ads contender is to get one of the regular NFL packages, ideally Sunday afternoons. That way it can sell ads to its whole U.S. subs base overnight. Go FAST This one is risky, because to program a compelling FAST channel, you’d likely have to take some older Netflix exclusive shows and make them available for free to non-subscribers. But FASTs, for better or worse, are ad-inventory machines. Go full UGC I’m not sure I see this happening. There is something already off about Netflix carrying podcasts and shows for creators. The experience sticks out in what is such a produced, and generally non-communal environment. But Netflix could open up its platform by allowing creators to upload videos without having to be approved by the service. But that opens a whole other can of worms (policing brand safety, copyright infringement, overall quality). Make a huge RMN Deal I was going to suggest something crazy, such as ‘instead of buying Warner Brothers, Netflix should buy Target. But the company doesn’t want to be in the brick and mortar business. Yet for Netflix’s ad business to compete in an Amazon world, it needs to be able to connect ad exposures to shopping. What if, instead of letting Amazon target Netflix viewers with its DSP, Netflix inked a deal with Target, or even took control of Roundel, and created its version of the Amazon full-funnel for brands? Price us out. I hope they don’t do this, but Netflix’s price increases - while significant - haven’t been enough to push long-term customers out of the ad-free tier. But if they made those prices so prohibitive, it could push large swaths of consumers to trade down. Then again, that could also dent engagement - as binging becomes much less appealing once you bring ads into the equation. Or, they could just launch a bunch of hit shows and maybe everyone will quickly forget all this angst. More from Amazon unBoxed A few weeks ago, I recorded two podcasts live at Amazon’s unBoxed event in San Francisco. I was able to go really deep with several brand partners about how Amazon’s various data and ad products work - particularly the under appreciated Amazon Marketing Cloud. First, I talked with Laura Abadias Velilla, of the Amazon specialty agency Amerge, along with Amazon’s own Charlotte Maines, Vice President, Devices Content & Advertising, about how the two partners helped a very specific printer company Epson launch into a brand new category - high end projectors. It’s a great example of how brands connect audience data across platforms to make budget deployment decisions. Next, I chatted with Monks VP Head of Digital Investment for North America Tom Burchill about how the agency actually brought in data from Linkedin to help target B2B customers across various Amazon properties for the brand Quicken. Check it out: Check these out, or just listen:
A Tiny Chemical Tweak From 4 Billion Years Ago May Be the Reason We Exist Today
Heat-loving RNA droplets may be the missing step between raw chemistry and the first living cells.
More Than a Charcuterie Board: A Mother and Daughter Build a Business Around Gathering.
The Bar Harbor Story is generously sponsored by Birch Bay Retirement Village. NORTHEAST HARBOR—Food’s ability to be a social cornerstone is one of the founding premises of one of Mount Desert Island’s newest, and perhaps most unique, endeavors in cuisine based catering. From intimate gatherings to large functions, Olive & Pearl creates charcuterie boards that can not only astound the tongue but also the eye. Many would agree that food can bring people together. In fact, culinary delights, and sometimes adventures, have been utilized as the centerpiece for social and business occasions of all kinds for centuries. Often times it even has the ability to start conversation, temper differences, and build new relationships. Settings can vary, from a multi-course sit down meal, a backyard barbecue, or a couple of bowls of chips and dip in front of a television, but the result can be the same. Humans come together, they share food, and the whole process is a catalyst for thought, communication, and a shared experience. Imagined and created by the mother and daughter team of Dr. Susan Scanlan (formerly MacCready) and Kayla Musetti, Olive & Pearl was started in June of this year and has been creating, delighting, and growing since. We gave the two an opportunity to answer some questions about themselves and their new venture. The love, passion, and pride for what they are doing and the fact that they are doing it as a mother and daughter team came through so strongly in their answers that we decided to present the question and answer session in its entirety. The Interview What did you do prior to Olive & Pearl? We’re a mother-daughter team, and food, family, and hospitality have always been a big part of our lives. Susan grew up in a large family in Pennsylvania, where the table was always at the center of everything. There were multiple dishes, little bites, stories, and plenty of conversation. Food was never simply about eating. It was about gathering, celebrating, and spending time together. After living in several Southern states, Susan relocated to Maine more than 20 years ago, and Maine has truly become home. She loves its sense of community, natural beauty, and connection to local food and makers. Professionally, Susan is a registered nurse and holds a doctorate in health administration. She has worked in a variety of clinical, nonclinical, and leadership roles and currently works as a faculty academic director. Building Olive & Pearl has been an exciting creative venture alongside her career. Kayla is also a registered nurse and works in the ambulatory surgery unit at Mount Desert Island Hospital. While healthcare is an important part of both of our professional lives, Olive & Pearl has given us an entirely different way to connect, collaborate, and create something together. Tell us about the business. Olive & Pearl is a mother-daughter charcuterie business centered around beautiful food, thoughtful presentation, and bringing people together. We create curated charcuterie boards designed for everything from intimate gatherings and dinner parties to weddings, showers, corporate events, boat days, and celebrations of all kinds. We think of our boards as more than food. They’re an experience and an invitation to gather, slow down, and enjoy time with the people around you. We’re intentional about quality ingredients, artful presentation, and personalization. Whenever possible, we also incorporate Maine-made and locally sourced products, including cheeses, jams, honey, seasonal produce, and baked goods. What inspired you to start Olive & Pearl? In many ways, Olive & Pearl grew out of something we had been doing our entire lives —bringing people together around food. We’ve always loved creating beautiful spreads for family and friends. There was something special about watching people gather around a table, graze, talk, laugh, and simply enjoy being together. Friends and family began telling us, “You should do this as a business,” and one day, we stopped laughing it off and started mapping it out. We realized we had an opportunity to combine our different strengths and create something that reflected what we both value: hospitality, creativity, quality, and connection. Charcuterie felt like the perfect expression of that. It’s beautiful and creative, but it’s also communal and approachable. At its heart, it brings us right back to where the idea began, a table filled with food and people gathered around it. Do you have a business partner(s)? Our business partner is each other! Olive & Pearl is truly a mother-daughter partnership, and building it together has been incredibly meaningful and sometimes hilarious! We know each other extremely well, which can be both a strength and, occasionally, a challenge. We have different personalities and strengths, but we’ve learned to lean into those differences and use them to our advantage. There’s a lot of trust between us, and we’ve learned how to communicate, collaborate, and occasionally laugh at ourselves along the way. We’re also building Olive & Pearl while continuing our careers in healthcare and education, so we’re taking things thoughtfully and growing the business one step at a time. We all have to start somewhere. One of the most rewarding parts has been having something that belongs to both of us. We get to learn from one another, celebrate the small wins together, and create something that we hope will become part of our family’s story for years to come. When exactly did you launch the business? Recently, in June 2026, we launched Olive & Pearl, turning an idea we had talked about for years into real business. It has been incredibly rewarding to watch something that started around our own family table and begin to find a place within the community. How is it going so far? How do you feel it has been received? It has been going very well, and we’ve been incredibly encouraged by how warmly Olive & Pearl has been received. As more people hear about us, our orders have continued to increase, and we’re seeing growing interest in boards for events and celebrations. It’s exciting to watch something that began as an idea between the two of us start to grow within the community. One of the most rewarding parts is hearing from customers after their events or seeing photos of our boards being enjoyed. Knowing that something we created became part of someone’s celebration is incredibly meaningful to us. Is there a brick-and-mortar location or is it all online? Olive & Pearl is currently an online business. We’re intentionally starting this way so we can build relationships with our customers, learn what they love, and grow thoughtfully. Our long-term dream, if the business continues to grow, is to eventually have a sit-down space where people can experience Olive & Pearl in person. Do you have any future plans if things go well/keep going well? Absolutely. For now, our focus is on continuing to grow Olive & Pearl, getting to know our customers, and becoming part of more celebrations and gatherings throughout the area. Long term, we would love to have our own physical space where people can come together and experience Olive & Pearl beyond the boards themselves. We can imagine a place that combines food, hospitality, creativity, and community. Ultimately, we want to build something that continues to grow while still feeling personal and connected to the people and community around us. Is there an aspect of the business that you really love? There are so many things we love about it, but the people and the connection are probably at the top of the list. We love creating something beautiful, but what really matters to us is what happens after we hand it over to the customer. We picture our boards on kitchen islands, at backyard gatherings, on boats, at weddings, or around a long dinner table—with people laughing, talking, and lingering a little longer. We also love the creative side. Every board is an opportunity to play with color, texture, shape, seasonality, and flavor. We don’t just want to fill a board, we want to curate an experience. And supporting local makers is especially meaningful to us. Whenever possible, we love incorporating Maine-made cheeses, local jams and honey, seasonal produce, and products from nearby bakeries and businesses. It allows us to showcase some of what makes Maine so special. Perhaps most importantly, we love doing this together. Building something as a mother and daughter has given us another way to spend time together, learn from one another, celebrate small wins, and create memories. Is there anything regarding any aspect of Olive & Pearl that you may think is important that is not reflected on the website? One thing that may not always come through online is just how personal this business is to us. Olive & Pearl isn’t something we created simply because charcuterie was popular. It grew very naturally from our family, our traditions, and the way we’ve always enjoyed gathering with people we love. There is a lot of heart behind every board. We think about the people who will be enjoying it, the occasion they’re celebrating, and how we can make the experience feel special. We also want people to know that we care deeply about supporting locals whenever possible. Using Maine products isn’t just about sourcing ingredients, it’s about telling a little story about where we live and the talented people who make and grow wonderful things here. Is there anything that we have not asked that you think is important/relevant that would like readers to know? We hope people see Olive & Pearl as more than just a charcuterie business. At its heart, it’s about gathering. Our goal is to make it easier for people to create those moments when everyone gathers around the table, conversations last a little longer, and people simply enjoy being together. We also hope people see the mother-daughter story behind the business. We’re building Olive & Pearl alongside our careers, one step at a time, and there is something incredibly special about creating a shared family legacy in the process. For us, success isn’t just about how many boards we make. It’s about becoming part of people’s special moments - birthdays, weddings, weekends with friends, quiet evenings at home, or a beautiful day on the Maine coast. If one of our boards helps people put down their phones, linger a little longer, laugh a little more, and enjoy the people around them, then we feel like we’ve done exactly what we set out to do. All photos courtesy of Olive & Pearl. LINKS TO LEARN MORE Olive & Pearl website Olive & Pearl Facebook Olive & Pearl Instagram RECENT PRESS RELEASES AND BRIEFS To see all the press releases, click here. To see our news, click here. For the full archive, click here. All of these are on our dedicated website. 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Scientists discover new squid-like species in Wyoming that lived 160 million years ago
How the legacy of slavery shapes health disparities today
An institution that existed more than 150 years ago is still impacting who lives and dies today. A new study co-authored by UC Berkeley Psychology Professor Manuel Galvan found that modern-day Black
How the legacy of slavery shapes health disparities today
An institution that existed more than 150 years ago is still impacting who lives and dies today. A new study co-authored by UC Berkeley Psychology Professor Manuel Galvan found that modern-day Black
The One Chart That Explains Why Netflix Cleaned House
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Yeah, I’ll be honest: I went with a clickbait-y headline today. One chart? That explains everything? That’s as clickbait-y as it gets. But let’s be real. I’m analyzing a dataset that I’ve built over six years, and c’mon, I never write articles which feature just one chart! If you think this article—which includes a level of data detail unheard of in journalism twenty years ago—is clickbait, fine by me. Really, what I’m doing is using data to explain Netflix’s recent strategy changes, since the story of the month is the turbulence at Netflix. First, head of content Bela Bajaria was fired. Then head of film Dan Lin followed her to the unemployment ranks. (Along with, sadly, 1,000 other Netflix workers.) And then Netflix delivered a “sub-optimal” earnings report, which continued their year-long stock price slide. Then came a flood of articles explaining why all this is happening. (Mine’s coming shortly, rest assured.) I realized I had the perfect chart to explain Netflix’s woes. Specifically, Nielsen’s weekly top ten charts. Usually I focus on one or two weeks in my Streaming Ratings Reports, but sometimes it’s worth stepping back to look at the larger story. And hoo boy, what a story. This article is my annual (plus three months) follow-up to one of my most popular articles of last year. (And a topic I’ve been visualizing for the last half decade.) Subscribe Netflix’s Share of The Nielsen Charts Continues to Decline
North Dakota’s prehistoric footprint: Scientists discover T-Rex footprints
Dinosaurs may have disappeared millions of years ago, but they're still leaving their mark on North Dakota.
BioNexus KC celebrates ‘regional backbone’ connecting science, talent, tech and momentum
The scale of opportunities within Kansas City’s bio health industry would’ve been challenging to imagine even just five years ago, said Dennis Ridenour, touting a streak of groundbreakings, collaborations, game-changing announcements, and major investments — all rallying together the right people and institutions.
Introspection required if EU Inc fails, says start-up lobbyist
European start-ups have a new voice in Brussels. Startups for Europe, created from the merger of lobby groups Allied for Startups and the European Startup Network, is hoping to harness the momentum behind EU-Inc, a campaign that united start-ups and investors behind demands for a new pan-European company regime.At a launch event for the new association in Brussels on October 1, the mood was remarkably upbeat compared to a typical Eurobubble gathering, more Silicon Valley than Schuman roundabout.When asked whether this reflects a feeling that Europe is on the right track, chief executive Serena Borbotti-Frison said it’s a “scary” moment as the continent looks to boost its competitiveness amid a new technological arms race.“What is at stake is quite intense, and the way we can answer is by delivering, but also with hope,” she told Science|Business. “It’s what our industry does. It’s not about identifying a pain point and then saying it’s too hard.”For many in the start-up community, that sense of hope is dwindling. In March, the European Commission presented its proposal for EU Inc, naming its initiative after the grassroots campaign.EU Inc was meant to be a gamechanger: the ability to incorporate within 48 hours for less than €100 and scale up across Europe; a harmonised stock option regime enabling start-ups to compete for talent; and simplified insolvency procedures for innovative start-ups to reduce the cost of failure.However, haggling by EU governments has raised concerns that EU Inc will be stripped of the very features, including stock option harmonisation, that are meant to make it attractive for companies.“I fear we are proving to ourselves that the model doesn’t work,” Borbotti-Frison said of the policymaking process. “Everyone agrees we should have EU Inc. Everyone agrees it’s hard to scale and we need to scale to answer the competitiveness [challenge], and still we cannot deliver? [. . .] What does that say about ourselves?”The Commission has made EU Inc a cornerstone of its single market reform, and has agreed with the European Parliament and the Council of the EU to target an agreement by the end of 2026. However, several points are currently holding up an agreement, including national rules around employee participation in management decisions, and the provision that employee stock options always be taxed at the point of sale. Some EU governments have reportedly pushed back on the Commission’s choice of legal basis, contending that anything related to taxation requires unanimity in the Council.Trade unions have also protested against EU Inc, fearing it will be exploited by companies looking to undermine workers’ rights.“If this doesn’t work, it’s introspection time, on the way our institutions work, maybe the way our lobbies work, and maybe the way the cooperation between them works,” Borbotti-Frison said.“Is it in the national interest? Is it a gap between political will and technical ability to operate? Is it speed? I don't know, but something needs to be fixed.”Ahead of last week’s European Council meeting, EU-Inc campaigners tried a new strategy: appealing directly to EU presidents and prime ministers. In an open letter, they urged EU leaders to “step in and give your negotiating teams a clear mandate to change course and reverse their objections to the Commission’s original proposal.”Lessons from EU-IncLike its predecessors, Startups for Europe will represent national start-up associations, but it is also targeting investors. The founding sponsors are venture capital firm Atomico and EQT, the investor selected earlier this year to manage the €5 billion Scaleup Europe Fund.It also wants to harness the knowledge and cross-border experience of European success stories. “Take the list of the 100 biggest unicorns in Europe. We are speaking to all of them,” Borbotti-Frison said. The association plans to publish a full list of supporters following the Slush tech conference in Helsinki in November.Andreas Klinger and Simon Schaefer, two key figures in the EU-Inc campaign, are both on the board of the new association, and Startups for Europe wants to take the lessons from their campaign.What was unprecedented about EU-Inc was “how rooted it was, and how strong it was in bringing everyone on board behind one clear pain point and solution to fix it,” Borbotti-Frison said. “This is an inspiration for us, and then we need to turn it into something more systematic, more bridged in Brussels, more connected to the policymaking game, and to scale it.”If it’s possible to unite such a broad coalition, it’s because the European start-up ecosystem is now mature, she said. “Maybe it was not ten years ago. Maybe it was not five years ago. But now, it’s mature to speak with one voice.”Open and liberal EuropeThe association plans to campaign on files related to three “pain points,” Borbotti-Frison said: “start and scale in Europe, fundraise and invest in Europe, and making Europe the most innovative continent.”As well as EU Inc, she cited public procurement, the EU’s simplification push, the Savings and Investments Union, and files related to AI adoption and technological sovereignty as priorities for the coming months.What these files have in common is that they relate not to subsidies but to the framework conditions influencing the availability of mostly private, or in the case of procurement, public, funding.Related articlesEmployee participation disagreement delays MEPs’ vote on EU IncCommission urges EU governments not to water down EU IncEU’s ‘ultra-fast’ €5B scale-up fund is set up to win, says its fund managerThe budget dispute over the next Horizon Europe programme will also impact start-ups, which are supported notably through the European Innovation Council. But EU innovation funding is a drop in the ocean compared to venture capital and public procurement budgets.“If competitiveness and innovation are a priority, then the [EU budget] should reflect it,” Borbotti-Frison said. However, she added that the main question is not how much public money is invested, but “how do we create the right conditions for the market to solve the problem?”The Scaleup Europe Fund mixes both approaches, using €1 billion in EU funding to crowd in private investors and address Europe’s lack of large-scale, late-stage growth funds. “It’s a proof of concept. Ideally, then the market will do it itself,” Borbotti-Frison said.Startups for Europe is also focused on bringing an alternative political narrative. Amid competing visions for open, global markets on the one side and a protectionist Europe on the other, it wants to offer “a third voice, to say we can be proudly European and build a strong continent in a liberal economy, open to the world, and global.”It can be tempting, when thinking about how Europe can better support innovation, to look across the Atlantic. But while it’s important to compare statistics to see where Europe needs to catch up, that’s where the comparison should stop, Borbotti-Frison said. “On everything else, we need to do it our own way. We don't have the same history. We don't have the same political model. We don't have the same way of life.”Many of the key files that could benefit the start-up community, including EU Inc and the Savings and Investments Union, rely on closer integration within Europe, making it easier to operate across borders.While the Commission has made deepening the single market a political priority, support at national level is more precarious. The coming months will see pivotal elections in Spain and France, while the German government has also been coming under pressure domestically. In each country, far-right parties have been gaining ground.When asked if she was concerned the political situation could jeopardise this progress, Borbotti-Frison responded: “Of course. I would be lying if I said I wasn’t.” However, she continues to believe that cooperation is the only way forward. “Doing it alone is not the solution. It’s also not who we are, it’s not the model we are building, and it’s not the scale we need.”
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Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
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Adam Levine recounts ‘really uncomfortable’ performance for rock legend on ‘The Voice.’ It happened 14 years ago.
Pearlington residents, business owners push for bridge replacement plan
The Pearlington bridge closed more than four years ago, cutting off a direct route between Pearlington and Louisiana.
Kelly Vlahakis-Hanks Keeps Science Green at ECOS
Chief Executive Kelly Vlahakis-Hanks maintains a keen focus on sustainable manufacturing at ECOS, the company her father founded 60 years ago, building upon his initial idea to create non-toxic alternatives for cleaning. Van Vlahakis, a chemist, founded the manufacturer of green cleaning products at a time when no one was paying attention to ingredients. “He […]
9 years ago, gun violence took my father. Today, Ohio political silence is costing more lives
Candidates are asking for votes. Speeches are being given. Promises are being made. But where are the conversations about firearm deaths? Where are the discussions about protecting children from their leading cause of death?
Scientists reconstruct face of man who lived in Ecuador 3,000 years ago
Skulls discovered in Ecuador's Andes fueled theories about the origins of ancient Americans; a new facial reconstruction supports an Indigenous ancestry, but researchers say DNA testing is needed to settle the question
Weigeltisaurids: Earth’s first gliding vertebrates
260 million years ago, weigeltisaurids were the first vertebrates to glide through the air, their flight system unlike anything alive today.
New Form of Superconductor Behavior Discovered That We've Never Seen Before
It was predicted 20 years ago.
McPherson lifts Auburn to historic victory after miraculous health recovery
Just a couple of years ago, Auburn kicker Alex McPherson battled through life-threatening health conditions. Now, he is fully healthy this season and kicked the game-winning field goal to defeat No. 1 Georgia on Saturday evening at Sanford Stadium.
Early humans in America endured climate chaos—new research
Some 23,000 years ago, during the coldest part of the last ice age, people walked across the muddy margins of an ancient lake in what is now White Sands National Park, New Mexico.
Scientists Discover Weird Conditions at Site of Star That Exploded During the Period of Japanese Samurai
Astronomers observed a star that had survived its own explosion some 845 years ago. New observations raise even more questions.
Thirty Seconds in Texas Costs $12,000 as Politics Dominates TV
Buying a 30-second television ad in Harlingen, Texas, typically cost political candidates less than $500 two years ago. These days the spots are going for the price of a serviceable used car in the small city near the Mexican border.
Scientists discover a surprising twist in Japan's 7,300-year-old volcanic apocalypse
A catastrophic volcanic eruption 7,300 years ago devastated Japan, but new research reveals that its impact on prehistoric populations was far more complex than previously believed. While some communities disappeared or declined, others unexpectedly flourished as survivors migrated, adapted, and found new ways to thrive.
13 Years Ago, Rockstar Suffered a Leak Worse Than GTA 6
Before unauthorized clips of GTA 6 scandalized fans, GTA 5 made video game leak history for Rockstar and Sony
Scientists Find Evidence That Earth's Core Is Still Leaking Hydrogen, Helium and Tungsten
When Earth first formed, around 4.5 billion years ago, it was an extremely hot, largely molten planet. As it cooled, heavier materials sank to form the core, while lighter materials formed the mantle and crust.
Scientists Discover a 99-Million-Year-Old Insect With a Bizarre Feature Never Seen in Living Species
Like a bendy straw, an ancient insect’s folded mouthparts may have flexed without collapsing, revealing a feeding adaptation unknown in living planthoppers. About 99 million years ago, a tiny insect became trapped in tree resin with mouthparts nearly twice the length of its body. The resin hardened into amber, preserving an unusual feeding organ that
GBIF at 25: The Open Data Machine Behind Global Biodiversity Science
Twenty-five years ago, a handful of governments bet that the fastest route to saving life on Earth ran through something unglamorous: standardized, freely shared data about where species live. That bet became the Global Biodiversity Information Facility, or GBIF, an
Reagan’s Immigration Policy ‘A Mess’ Says Schroeder
by Rachael Wright Forty-five years ago this week, Democratic U.S. Rep. Pat Schroeder, representing the 1st Congressional District and serving on the Judiciary Subcommittee on Immigration, Refugee and International Law, said the Reagan administration’s immigration policies were “a mess” and that she felt the administration manipulated refugee policy for foreign policy reasons. “States are left to bear […]
Physicists froze a 'necklace' of atoms — and witnessed a quantum phenomenon predicted 100 years ago
Atoms confined to a single line can bind into clusters called Bethe strings. A new experiment points to a mix of many such clusters, though the evidence is still indirect.
Elon Musk described Tesla's flying Roadster tech nearly 8 years ago
Musk told Marques Brownlee in 2019 that Tesla's Roadster would use cold-gas thrusters. The car briefly flew using that
A St. Louis plant scientist discovers a trail first blazed by his grandma’s cooking
Antonio Brazelton used to think of himself as a trailblazer in the plant science field, following in the footsteps of George Washington Carver. But years ago, the St. Louisan realized he was overlooking his own lineage of Black plant scientists.
Tom Haberstroh joins NBC Sports Philadelphia as 76ers sideline reporter
Tom Haberstroh is back covering LeBron James. Fifteen years ago, Haberstroh was one of a trio of ESPN reporters who decamped in Miami to run the Heat Index for the Worldwide Leader, a constantly running live feed of news and content around the “Big Three” era of the Miami Heat. Haberstroh chronicled LeBron James, Dwyane…
German MPs rebuke AfD during genocide debate
The events took place more than 120 years ago, but their consequences are still felt today: Over two days, German lawmakers have been debating their country's colonial crimes in present-day Namibia.
75,000 years ago, this Neanderthal was stabbed with a spear
Mercy killing or murder? The prehistoric scene reveals the highs and lows of hominin life.
Researchers search for Amelia Earhart's plane in lagoon on remote Pacific island
The last authorized expedition to the island was seven years ago
Researchers search for Amelia Earhart's plane in lagoon on remote Pacific island
The last authorized expedition to the island was seven years ago
Scientists Made a Wild Friday the 13th ‘Doomsday’ Prediction in 1960, and It’s Almost Here
Sixty-six years ago, a group of scientists published a startling calculation about when humanity could reach a breaking point: They landed on Friday, November 13, 2026. The Independent reported Wednes...
Oilers’ Vasily Podkolzin On Fire, Makes Canucks Trade Look Baffling
Two years ago in August 2024, the Vancouver Canucks traded Vasily Podkolzin to the Edmonton Oilers for a 2025 fourth-round pick, one that was used on David Lewandowski. The Canucks would surely take that back now. Podkolzin is off to an incredible start to the 2026-27 season, looking like a guy who might finally be […] The post Oilers’ Vasily Podkolzin On Fire, Makes Canucks Trade Look Baffling appeared first on HEAVY.
From pallets to presents, Ames entrepreneur builds mystery box business
Two years ago, Jami Tharp was scrolling through TikTok when a trend caught her attention: mystery boxes. She ordered a few from Amazon, curious to see what would arrive. Soon, she started thinking bigger, buying wholesale pallets of merchandise and creating her own mystery boxes. Today, Tharp runs J&O Mystery Box Co., an online business...