Kevin Weil 🇺🇸(@kevinweil)

AI x mathematics ftw. What an incredible release today from OpenAI 🤯 There's a lot of work to do t...

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 06 Oct 2026 23:47:26 GMT

AI x mathematics ftw. What an incredible release today from OpenAI 🤯

There's a lot of work to do to get models of the same caliber in the physical sciences, but just think of the possibilities as we get there. And we will get there.

will depue@willdepue

i asked GPT 6 Pro and Fable 5.1 to rank all discoveries in the last three years

🔵 for Human discovered
🔴 for AI discovered (before October 6th)
🟢 for AI discovered from OpenAI/math repo

81% of them have been released today. wtf

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Nine loop calculations in N=4 Super Yang-Mills! Lance Dixon's 8-loop calculation was mind boggling w...

Kevin Weil 🇺🇸 (@kevinweil) — Fri, 25 Sep 2026 19:04:58 GMT

Nine loop calculations in N=4 Super Yang-Mills! Lance Dixon's 8-loop calculation was mind boggling when he did it. I calculated a lot of Feynman diagrams in grad school and this is 🤯

Will be amazing to see where AI will take high energy physics in the coming 12 months.

Anthropic@AnthropicAI

New on the Science Blog: Yes, Claude can do Nine Loops.

Theoretical physicists predict how particles behave using formulas called scattering amplitudes. These are notoriously hard to compute, so researchers work with layers of increasingly fine corrections called “loops”—each added loop makes the answer more precise but takes exponentially more computation. Most calculations stop at two or three loops. Eight loops was the previous record in a simplified model physicists use as a testing ground (planar N=4 super-Yang-Mills), set by SLAC's Lance Dixon and collaborators.

Last month, physicist and science writer @4gravitons issued a challenge: could an AI push past eight loops in this model, using only the compute budget an academic could reasonably access?

Given a single prompt describing the nine-loop problem, Claude ran largely unsupervised for days in Claude Science and solved it using methods developed by Dixon and his colleagues, at a total cost of a few thousand dollars. Dixon independently verified the result, and von Hippel wrote about the experience for our blog. 

Read more: anthropic.com/research/yes-c…

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We need more of this kind of optimism about AI. Great take from @jeffreykWNDR on AI, technology, and...

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 23 Sep 2026 22:14:01 GMT

We need more of this kind of optimism about AI. Great take from @jeffreykWNDR on AI, technology, and creativity.

JK@jeffreykWNDR

The World is Changing: AI For Creativity

By Jeffrey Katzenberg

A few months ago, I sat in my office in Silicon Valley and watched as a tech founder showed me something extraordinary. On the screen was a fully realized, beautifully lit, well-composed animated scene. It was stunning and it made me feel exactly what I felt in 1986 watching Luxo Jr. That was the first time I watched a computer-animated 3D character take a breath and seem, against all reason, to have life. It left me in awe.

Later that day, I received a text from an artist I've known for thirty years, 350 miles to the south, in the city where I spent most of my career. After seeing a similar video, she texted: "Is this the end of us?" My answer was, "Certainly not.”

I have spent the better part of the last decade in Silicon Valley, but the heart of my career has been in Hollywood. Being deeply connected to both worlds means I have deep loyalties to each and a responsibility to speak honestly to both.

In 2023, I said that these new AI tools would cut the time and cost of producing world-class animation by as much as ninety percent within three years. Some colleagues were alarmed, many were furious.

There is growing fear and resistance surrounding AI within the creative community. I deeply understand it, because I've spent countless hours walking through animation studios watching gifted artists bent over their desks, rebuilding a single second of film for the tenth time because the ninth version wasn't quite right. I've sat in screening rooms where four years of people's labor played out in minutes, and I knew the name of every person that had spent countless hours bringing those images to life. The creative process is a calling, there's really no other way to describe it. From the outside some see resistance. From the inside, it is love.

People do not fight this hard for things they don't care about. The pushback coming out of Hollywood represents the collective effort of people who are deeply passionate about their craft.

Is History Repeating Itself?

The history here is more complicated than either side may realize. In 1906, the most famous composer in America, John Philip Sousa, published an essay titled “The Menace of Mechanical Music." He warned that the phonograph would become "a substitute for human skill, intelligence and soul."

Sousa's fight was not really about the machine, it was about money. The machines were playing his compositions, and the men who built them weren't paying him a cent. His campaign helped create the Copyright Act of 1909. He did not stop the technology. He changed the terms under which it could use his work.
A hundred years ago, sound came to the movies. We remember it now as a miracle, and it was. What we forget is who paid for it. Before sound, tens of thousands of musicians made their living in the orchestra pits of movie houses, scoring every film live, every night, in towns all over the world. When the soundtrack arrived, the work of one composer and one orchestra was recorded for a film that went into thousands of theaters. The union fought back with everything it had, taking out newspaper ads across the country warning against the menace of "canned music," one of them showing a mechanical man tearing the strings out of a harp while an angel wept.

They were not fools, and they were not Luddites. They were right. Those pit jobs did not come back. And yet (this is the part we have to be brave enough to admit), sound gave us the movie musical, the modern score, sfx, sound design, audio engineering, and an art form vastly larger than the one it disrupted. And it helped keep Hollywood in the forefront of world entertainment for the rest of the century and into the next. The loss was real. And yet the art form expanded.

This is a story that has been told over and over again. To resist technology is to risk irrelevance. Just look at Kodak or Blockbuster. To embrace technology is to open doors of new possibility. Just consider Apple and Netflix.

What I Learned From Walt Disney

In the mid-1980s, I was tapped to lead Disney's animation division at a moment when the studio was at an inflection point. Animation wasn't just another business unit. It was the soul of the company, a medium revered because of Walt's genius and his passion. But the production system was cumbersome and unforgiving. A single movie was 125,000 individual hand-drawn and painted cels, photographed one frame at a time. Every revision carried a cost measured in months. These degrees of difficulty shaped the kinds of stories we could tell.

We found our way forward in an unexpected place: Walt himself. The Disney archives held astonishing recordings of Walt explaining his creative process. His own writings. His notes and storyboards. Work product captured at every stage of his process. This was truly a gift. Listening, reading, sitting with the work itself, we heard him talk about character, about emotion, about how an audience feels when a character truly comes alive. He talked about making bold choices and refining a scene until it genuinely moved people. We didn't hear a word about pencils or paintbrushes. In fact, Walt was famous for being a technologist, forever hunting for state-of-the-art tools, often inventing them himself to achieve the images he saw in his head. But he never defined animation by the tools. He defined it by whether the audience believed the character. His principles were timeless. The tools were not.

That realization changed everything. We co-developed the Computer Animation Production System (CAPS) with a young Northern California company called Pixar, replacing hand-painted cels with CGI. In The Little Mermaid, the final scene shimmered with a dimensionality and light that the old process simply couldn't achieve. In Beauty and the Beast, the ballroom sequence moved with a cinematic sweep that placed the audience inside the emotion of the moment. In Aladdin, the Cave of Wonders felt vast and alive, and the Magic Carpet became an intricate, compelling character all its own. In The Lion King, the stampede carried a scale and intensity that raised the emotional stakes beyond anything we'd done before. Technology didn't diminish the craft, it expanded the canvas. It gave artists more room to create.

A decade later, the canvas expanded again. When Disney released Pixar's Toy Story, it wasn't simply a technical milestone. It was proof that a fully computer-animated film could carry real emotional weight, that it could make audiences laugh, cry, and believe. At DreamWorks, we made the difficult decision to sunset hand-drawn animation and become a fully computer-animated studio. It was the right thing to do, but it was not without pain. It cost talented people their place in an industry where they had worked their whole lives. Some made the leap to the new tools and did the finest work of their careers. Some never did.

Tools are never the point. The instruments change with every generation. What endures is taste and imagination. The magical ability to make an audience feel. One of the greatest storytellers of our generation, George Lucas, succinctly captured the eternal essence of this issue: “It’s not the how, it’s the why.”

A Distinction With a Difference

I asked one of the leading AI models a question that has been challenging me for months. What is the difference between reasoning and creating? Its answer changed how I think about almost everything happening in this industry. It said . . .

Reasoning and creating are two distinct cognitive modes, though they also work together. Reasoning is fundamentally evaluative and analytical. It operates on what already exists: facts, premises, evidence. It moves toward a conclusion that was in a sense already implied by the input. Reasoning is constrained by logic and truth. Its goal is to arrive somewhere correct, not to invent somewhere new.

Creating is fundamentally generative. It produces something that didn't exist before. And crucially, there's no single right answer waiting to be found. A blank page has infinite valid responses. Creation involves choices that can't be fully justified by logic alone. Taste, intuition and vision fill the gap where deduction runs out.

Reasoning is what Silicon Valley has been perfecting. Creating is what Hollywood has been practicing for more than a century. AI today operates almost entirely on the reasoning side of the line. It can deduce, evaluate, optimize, and pattern-match brilliantly. And while it can create, there is a real distinction to being creative. What it doesn’t yet have is those things that make us human: empathy, devotion, serendipity, the kind of creativity that comes from a person trying to say something only they could say. When the bot generates a piece of art, it is not trying to communicate anything. It is statistics, not soul; it is emulating things that have been done. By contrast, human creativity isn’t about repeating patterns of zeros and ones; it is about doing something new.

One day, AI may close this gap. Three years ago, the leaders building AI would have called what they are achieving today, improbable, if not impossible. Impossible is no longer improbable.

Today, the line between reasoning and creating is real. Even the leading technologists acknowledge we are not there yet. There is no scientific path to crossing this divide that anyone in the field can articulate today. Understanding that gap is where we will find common ground.

A Path Forward

In 2016, I closed one chapter in Hollywood with the sale of DreamWorks and opened another in Northern California, co-founding WndrCo. We’ve backed more than 50 founders building the next generation of technology and watched how breakthroughs in Silicon Valley emerge, first as experiments, then as platforms, and finally as infrastructure that reshapes entire industries. It's worth remembering that the last great revolution in animation also came from the north. Pixar was a Northern California company, forged not in the conventions of the Hollywood studio system, but in the technological breakthroughs of Silicon Valley. I've spent years on both sides of this bridge. For sure, I don’t have all the answers (take Quibi, for one!). But, from my past and present vantage points of my long career, here is what I see . . .

Brilliant people in Northern California building this technology have made something extraordinary. They have earned the right for the rest of us to be, if not believers, at least optimistic that what comes next will be remarkable. But they have not made an artist. The tools are powerful, but they are not what makes a story matter. That knowledge lives 350 miles to the south, inside people whose life's work has informed the very models you are building. The right path forward includes them by design, with credit, with consent, and with compensation. Build this with the storytellers. Not on top of them. Taste is not something that can be synthesized, it is uniquely human.

At the same time, Hollywood needs to accept that AI is not going away. The energy they are spending trying to make it disappear is energy they are not spending deciding the terms on which it will exist. And the terms are everything. The north needs something from it that they cannot build and cannot buy: creativity. The kind that takes a blank page and conjures a single right answer where there was none and has held audiences for a century. Without it, the most powerful reasoning engine ever invented will still be missing the only thing that makes a story worth telling.

The artists who learn to wield these new instruments will do things the engineers never dreamed of. They always have. Edison invented the motion picture but made terrible movies. It took Chaplin, Lloyd, Keaton and so many others to make movies emotional. Now, the canvas is about to expand yet again. We should decide now that we intend to paint on it.

There are so many valuable lessons in history. This has happened many times before, and it was never settled by the technology. It was settled by the terms. Sousa did not stop the phonograph; he helped write the law that made sure composers got paid. And two years ago, when the writers and the actors walked out, they were fighting for the very things Sousa was fighting for in 1906. Consent, compensation, the basic recognition that human creative work has a price that must be paid. The terms of that fight are still being negotiated, but the principle is older than any of us.

The tools-versus-no-tools argument is a trap. First, we must all agree that there should be terms. Then we can have the crucial debate about what fairness requires.

What I Learned From Steve Jobs

Years ago, Steve Jobs said, "It's in Apple's DNA that technology alone is not enough. It's technology married with the liberal arts, married with the humanities, that yields us the result that makes our hearts sing." He was describing a device. But he could just as easily have been describing this tale of two cities.

What I See Coming Soon

As the barriers and the costs come down, more films will get made, not fewer. Studios will get to take more risks. There will be more seats at the table, and very soon entirely new forms of storytelling. In the 1980s, animation was dismissed as a niche corner of the business. Today it is one of the most beloved and profitable forms of storytelling in the world. In live action, filmmakers like Steven Spielberg, James Cameron and Peter Jackson embraced new visual tools not as shortcuts, but as instruments, and expanded cinema in the process. Every time storytelling has met a genuine technological shift, from synchronized sound to color to computer animation, it has redefined the boundaries of the medium and grown larger in the process.

Assuredly, I don’t have all the answers, but I am confident that the creative opportunities will expand yet again. How we come through this is a choice. The north has the new tools. The south has the creative soul. The best future will draw on the best of both worlds.

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This is exactly the right take.

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 23 Sep 2026 04:13:18 GMT

This is exactly the right take.

sarah guo@saranormous

just got off the phone with a new engineer hire at a portco with a very wise insight

“AI has been replacing my job since I got a CS degree, yet I’m busier than ever - we can all just be more ambitious”

this is the same insight that the inimitable @JensenHuang has for us all

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Gradually, then all at once.

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 22 Sep 2026 01:57:57 GMT

Gradually, then all at once.

OpenAI@OpenAI

We’re working with an independent advisory group of mathematicians to help OpenAI responsibly share advances in AI and mathematics.

The group will advise on how we assess and communicate new mathematical results, uphold academic and professional standards, and build tools that support mathematical research and learning.

Through this work, we want mathematicians to be at the center of shaping how AI supports mathematical understanding and how its benefits reach the wider community.

openai.com/index/advisory…

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This is exactly the right take from @ericvishria @buccocapital

Kevin Weil 🇺🇸 (@kevinweil) — Sat, 19 Sep 2026 18:10:29 GMT

This is exactly the right take from @ericvishria@buccocapital

BuccoCapital Bloke@buccocapital

I increasingly love this take from @ericvishria 

We are seeing such an explosion of capabilities and innovation that I think it’s quite likely it all works

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Thoughtful post (as usual) from @tylercowen on AI and mathematics. The last paragraph is particula...

Kevin Weil 🇺🇸 (@kevinweil) — Sat, 12 Sep 2026 21:56:22 GMT

Thoughtful post (as usual) from @tylercowen on AI and mathematics. 

The last paragraph is particularly excellent.

marginalrevolution.com/marginalrevolu…

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Go go @stoke_space! The world needs orders of magnitude more launch capacity.

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 08 Sep 2026 15:30:20 GMT

Go go @stoke_space! The world needs orders of magnitude more launch capacity.

Stoke Space@stoke_space

Today, Stoke announced a $1 billion Series E, bringing our total capital raised to $2.3 billion.

This funding will help us bring Nova Pathfinder to flight, accelerate development of our larger 15-ton-class Nova Block 2 vehicle, and build the production capacity required to fly at scale.

This milestone reflects years of extraordinary work by the Stoke team and the conviction of customers and investors who share our belief that fully reusable space transportation is both possible and necessary.

We are deeply grateful for their trust, and more energized than ever by the work ahead.

Read the full announcement: stokespace.com/news/stoke-spa…

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💯

Kevin Weil 🇺🇸 (@kevinweil) — Sun, 30 Aug 2026 19:01:27 GMT

💯

Gavin Baker@GavinSBaker

Regret the tone of my post on data centers yesterday.

What I should have said:

There were reasonable concerns about data centers 18ish months ago: water, taxes, jobs, electricity prices, the environment and what they would do to small towns. Well-structured data center projects have largely addressed these concerns today and we should be celebrating this. 

On balance, data centers are awesome for America in every way.

On water: U.S. data centers use a fraction of what golf courses use. A lot of the numbers from 18 months ago were off by over 1000x. Newer data centers use closed-loop systems or recycled water. Should be required by every town approving a data center project.

On taxes: looking only at sales-tax exemptions, as Ronan Farrow did, is the wrong way to evaluate this. Data centers pay significant property taxes. Loudoun County, which is the wealthiest county in America, now collects on the order of $1 billion a year from data centers. In Quincy, WA, data centers are more than half the property-tax roll. Over time, property taxes can go to zero while government spending increases in these towns.

On jobs: this has been unambiguously awesome for blue collar Americans. Demand for electricians, plumbers, welders, HVAC techs, and contractors has gone vertical, and it is not a one-time construction job. These buildings get upgraded and expanded over time. That is why the building trades are fighting for them, and why some unions are now treating opposition to data centers as a reason not to endorse politicians.

On power: the original fear was that households would pay for the incremental electricity demand in the form of higher prices. That is why the ratepayer-protection deals and the new large-load tariffs exist. The right structure is: the data center brings or pays for new generation and signs a contract long enough that existing customers are protected. Where that is happening, utilities are cutting or freezing residential rates and saying so on the record. Where it is not, people are right to object. Electricity prices are going down *today* in a number of large states because of data centers.
 On the environment: data centers overwhelming use natural gas today, which is the cleanest power source outside of nuclear, solar and wind. And the companies that are building the data centers are committed to carbon neutrality such that an equivalent amount of solar will likely be built. Maybe more importantly, the data centers need batteries to function effectively and these batteries can also sell energy back into the grid (which recently prevented blackouts in Texas). Over time, data centers will run on solar plus batteries.

On the towns: Poverty in Quincy, WA fell from 29% to 6%. Data center taxes paid for a new high school, a hospital, a library, police and fire stations. This is happening in many left for dead  former mill and farm towns that had no other bidder for the land.

Data centers are actually reindustrializing parts of America and creating the kind of working-class jobs both parties have spent decades claiming to support. That should not be a partisan issue. Data centers can and should be awesome for America and they increasingly, overwhelmingly are. Supporting the outsourcing of data centers to China will likely age just as well as support for the outsourcing of high quality, blue collar manufacturing jobs to China has aged.

When the facts change, I change my mind. I hope that reasonable people who had good faith reasons to oppose data centers at least consider updating their beliefs given the change in the facts over the last 18 months. This really matters for America.

I will say I also think the idea of making data centers beautiful is a good one that has yet to be implemented. Data centers should be just as beautiful as Grand Central Station. We can learn a lot from the railroad buildout. Neoclassical revival ftw.

Might write up open-weight AI tomorrow as this is equally essential to America.

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A rank 30 elliptic curve!! It's gotten to the point where I'm excited to wake up each morning becau...

Kevin Weil 🇺🇸 (@kevinweil) — Fri, 21 Aug 2026 04:23:11 GMT

A rank 30 elliptic curve!!

It's gotten to the point where I'm excited to wake up each morning because we (humans + AI) are learning so many new things about the world each day.

Robin Houston@robinhouston

omg

y² + xy = x³ − 201769035260418549083594900060734240952308696994802735114305555 x + 1151107939141058565733479426024323225135665982951300586808823640527729578307228357301072889377

an elliptic curve of rank 30, dropped anonymously a few hours ago

what a time etc.

elliptic-rank.icarm.cloud/curve/273

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This is spot on. It would be a shame if we get AGI for enterprise productivity and miss on AGI for s...

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 18 Aug 2026 00:12:43 GMT

This is spot on. It would be a shame if we get AGI for enterprise productivity and miss on AGI for scientific acceleration. Can't let it happen.

Fidji Simo@fidjissimo

I disagree with Dario on most things, but this is spot on: “At this point, saying that AI will cure cancer is more a cliché than it is inspiring, and most people think it is deceptive. The thing that will work is actually curing cancer.”

The thing that frustrates me is that some people often draw a straight line from smarter models → cures, without acknowledging how much infrastructure is missing in between. We’ve still got a lot of work to do, people. 

The regulatory bottleneck gets a lot of attention. But the bigger bottleneck may be that in many places, we’re lacking the right biological data. AI can’t reason its way to cures if we haven’t generated the data required to understand the disease in the first place.

Ironically, that’s why I’m most bullish on AI making dramatic progress in cancer first: decades of investment have produced extraordinary datasets across genomics, pathology, imaging, clinical outcomes, and more.

For complex chronic diseases, much of that infrastructure simply doesn’t exist yet. The good news is that many companies (including @ChronicleBioAI) are racing to build it.

But model intelligence and biological infrastructure are going to have to scale together. I really do believe AI can cure all diseases but only if we build the infrastructure to translate intelligence into cures at the same pace that models improve (which is a high bar!). Otherwise, we risk having superintelligent AI with an incomplete picture of human biology, and delay that promise by years.

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This is insane and so exciting. All ten of these are major results in the field. Just imagine wh...

Kevin Weil 🇺🇸 (@kevinweil) — Sat, 01 Aug 2026 16:30:25 GMT

This is insane and so exciting. All ten of these are *major* results in the field. 

Just imagine when the whole world has access to this model. 

Congrats @SebastienBubeck@polynoamial@markchen90@merettm and the whole OpenAI team. The future is going to be awesome. 

openai.com/index/ten-adva…

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I love this so much. The future is going to be awesome.

Kevin Weil 🇺🇸 (@kevinweil) — Fri, 31 Jul 2026 03:02:05 GMT

I love this so much. The future is going to be awesome.

Bilgehan Avser@bavser

Introducing Applied Electrodynamics.

What would the world look like if we could see beyond visible light, across the entire electromagnetic spectrum?

The way waves interact with matter, at every wavelength, encodes far more than just shape and color. It reveals internal structure, temperature, chemical composition, and more: a whole layer of the physical world that's invisible to us today.

That's what we're building at Applied Electrodynamics: the infrastructure to fully perceive the physical world.

WaveSight is the first piece of the puzzle. It brings radio frequencies into human perception, revealing the internal structure of objects behind opaque layers. Designed for construction crews, industrial inspectors, and security personnel.

See through walls: ae-dyn.com

Your browser does not support the video tag.

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There really is nothing like X.

Kevin Weil 🇺🇸 (@kevinweil) — Sun, 26 Jul 2026 03:44:35 GMT

There really is nothing like X.

Denny’s@DennysDiner

@JensenHuang@nvidia

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Wise words.

Kevin Weil 🇺🇸 (@kevinweil) — Fri, 24 Jul 2026 01:54:30 GMT

Wise words.

Will Ahmed@willahmed

A few principles I’ve come to believe about competition:

1) You’re more likely to win or lose because of your own company’s actions than those of your competition. This is particularly true of startups but I’ve found surprisingly true at scale as well. 

2) Being copied isn’t always inspiring. But it usually means you’re leading. Don’t waste energy looking over your shoulder. Lead, don’t follow.

3) There’s more to learn from customers than competitors. Consumer markets are hard, but they’re honest. Sales, engagement, and retention are the only scoreboard that matters.

4) There’s a difference between obsessing over competitors and harnessing a deeply competitive spirit. The former distracts you from your true intuition. The latter gives you the extra motivation to do your best work.

5) Creating a market is valuable. Continuing to lead after others copy you is even more valuable. You’re innovative and durable. 

6) Remember big, growing markets attract competition. Competition validates the opportunity. 

Now go win.

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Important read 🇺🇸 You can't lead over the longer term without leading in science.

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 22 Jul 2026 13:32:09 GMT

Important read 🇺🇸 

You can't lead over the longer term without leading in science.

Director Michael Kratsios@mkratsios47

In response to @POTUS's call for a revival of America's scientific enterprise, today I’m releasing Science: A New Golden Age.

This report is a blueprint for renewing American scientific leadership for the 21st century.

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This is an amazing quote, and it's true well beyond politics. There is no they. Everyone is figur...

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 14 Jul 2026 19:49:43 GMT

This is an amazing quote, and it's true well beyond politics. 

There is no they. 
Everyone is figuring it out as they go. 
You can just do things.

nxthompson@nxthompson

This is an amazing quote from Lindsey Graham about when he realized how politics works. theatlantic.com/ideas/2026/07/…

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Super excited to be joining the @stoke_space board! 🚀 I've known Andy since their seed round (thx ...

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 08 Jul 2026 14:43:22 GMT

Super excited to be joining the @stoke_space board! 🚀

I've known Andy since their seed round (thx @beller). Every month, like clockwork, he'd send an investor update with an impressive-looking bullet list of what they were going to get done that month. At the end of the month, the next update would show each of those bullets crossed out done—rarely they might miss one, and it would come with an ETA—and a list of what they'd get done the next month. Like clockwork, month after month after month. Andy, Tom, and the team are machines and it's been so impressive to watch them execute.

Space is critical to the future of humanity. I loved my time at @planet, I've watched @SpaceX in awe, and we should all be excited by how vibrant today's space ecosystem is. 

We need far more access to space than we have today. We need full reusability, which Stoke has been single-mindedly focused on since the start. And much more beyond this. Can't wait to help accelerate the @stoke_space mission any way I can!

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"People who are serious about technology have to get serious about society." On July 4th, a quick ...

Kevin Weil 🇺🇸 (@kevinweil) — Sat, 04 Jul 2026 15:17:55 GMT

"People who are serious about technology have to get serious about society." 

On July 4th, a quick must-listen podcast between @lulumeservey@boztank and Lee Robinson of General Matter. 

On service, American values, and solving hard problems 🇺🇸

Lulu Cheng Meservey@lulumeservey

America turns 250 this week and Silicon Valley is still debating whether it's ok to work with the US military...

Andrew Bosworth (@Meta CTO) and Lee Robinson (@generalmatter founding team) make the case for technologists to build in the national interest

Both joined the Army: Lee was 27 when he walked into a recruiter's office and ended up in the Ranger Regiment. @boztank was 44, already exec at Meta, when he got a cold call from @ssankar 

They also serve America through the technologies they choose to build, from LLMs to uranium enrichment

We cover:
8:25 - the unglamorous tech the country needs: chips, energy, manufacturing, infra
11:15 - how the US went from inventing uranium enrichment to producing 0.01% of it
17:00 - when safety-first turns into safety-only, and you regulate yourself out of the game
18:00 - if you don't build it, someone else (with worse standards) will
35:30 - how to have impact AND make money

This is for the technologists who choose to use their talents in service of the country. Happy 4th!

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🇺🇸

Kevin Weil 🇺🇸 (@kevinweil) — Fri, 03 Jul 2026 23:03:31 GMT

🇺🇸

Merriam-Webster@MerriamWebster

Why is it ‘cancelled’ in the U.K. but ‘canceled’ in the U.S.? 

Because we gave them that L in 1776.

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Excited to listen to this. @ssankar is a patriot and a visionary and it's been an honor to serve alo...

Kevin Weil 🇺🇸 (@kevinweil) — Thu, 02 Jul 2026 19:53:54 GMT

Excited to listen to this. @ssankar is a patriot and a visionary and it's been an honor to serve alongside him, @boztank, @bobmcgrewai and the Det 201 squad this past year. We need more collaboration between SV and DC 🇺🇸

@elizabeth has ruled out the mustache for me though.

Boz@boztank

@ssankar asked me a year and some days ago if I wanted to join the Army, and here we are, both reservists in Detachment 201. New episode of my podcast out today where we talk about year one (feat. my regulation mustache). I truly admire Shyam’s dedication to American innovation. His heretics and heroes framework extends beyond military/defense applications and perhaps resonates even stronger with the AI shift we’re seeing across the industry. 

Tune in: open.spotify.com/episode/2gesqF…

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Super proud of @elizabeth and everything she's built at Scribble Ventures. The below is a great over...

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 01 Jul 2026 20:37:42 GMT

Super proud of @elizabeth and everything she's built at Scribble Ventures. The below is a great overview of her philosophy and how she and the Scribble team did it.

David Weisburd 🚀@DWeisburd

Success in venture has a strange side effect. It can make you worse at your job.

@elizabeth, Founder and Managing Partner of @ScribbleVC, has spent a lot of time thinking about why. After growing Scribble to $280M AUM, returning 75% of her first fund to LPs, and raising an oversubscribed fund in this market, she has deliberately resisted the instinct to keep scaling the strategy.

Her argument is that every new constraint changes how you invest. Larger funds need larger ownership. Larger ownership means fewer companies fit the model. Before long, you're optimizing around check size instead of finding the best founders.

She told me something I hadn't really considered. A venture firm doesn't wake up one day and decide to become an asset manager. It happens gradually. More LP expectations. More ownership targets. More pressure to deploy capital. Eventually, the strategy that made the firm successful becomes the thing limiting it.

That's why Scribble doesn't have a hard ownership target. Elizabeth would rather own a smaller piece of an exceptional company than pass because the spreadsheet says the stake isn't big enough. As she put it, she'd rather own a sliver of OpenAI than a big stake in an average company.

She said it more plainly than I could have.

Our fund size is our strategy.

The best investors don't just protect their capital. They protect the incentives that made them good investors in the first place.

We’d like to thank @AlphaSenseInc  for sponsoring this episode!

Full episode below  👇youtube.com/watch?v=sTXqOW…q

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This is such a good idea.

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 23 Jun 2026 18:18:17 GMT

This is such a good idea.

aishwarya🍎@aishdoingthings

this started with a DM from @packyM in december. we're now supporting the development of a translation pipeline of soviet papers from ~50s-80s

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This is why I never put myself in this situation.

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 10 Jun 2026 20:10:37 GMT

This is why I never put myself in this situation.

Degen CPA@DrewVento

Day 3 of no caffeine and I’ve lost hearing in my right eye

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This is so cool—and super important for accelerating AI's impact on science and health.

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 10 Jun 2026 17:55:05 GMT

This is so cool—and super important for accelerating AI's impact on science and health.

Nate Dalva@dalvabaird

Human biology matters. Scientists and AI need human data to understand health and disease.

Crownlands is open sourcing Gateway 4M, the largest single-cell tissue dataset ever released from living humans, to advance research on brain aging and neurodegeneration.

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I'm such a huge fan of what @suekhim and the Brilliant team have built. When every kid in every co...

Kevin Weil 🇺🇸 (@kevinweil) — Sat, 30 May 2026 20:53:30 GMT

I'm such a huge fan of what @suekhim and the Brilliant team have built. 

When every kid in every country grows up with a 1:1 personalized AI tutor, we'll realize how much potential we really have.

Sue@suekhim

AI is making kids dumber.

It should be making them geniuses.

Introducing Koji, the first AI tutor that gets kids to actually think. 👇

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A friend shared this with me, and I love it so much. Make no little plans.

Kevin Weil 🇺🇸 (@kevinweil) — Sat, 23 May 2026 00:50:40 GMT

A friend shared this with me, and I love it so much. Make no little plans.

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The next in a series of firsts for AI and mathematics!

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 20 May 2026 21:08:04 GMT

The next in a series of firsts for AI and mathematics!

Timothy Gowers @wtgowers@wtgowers

If you are a mathematician, then you may want to make sure you are sitting down before reading further.

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This from @tdrobbo is gold.

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 12 May 2026 04:57:58 GMT

This from @tdrobbo is gold.

Tom Verrilli@tdrobbo

x.com/i/article/2053…

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This a matter of extreme importance (and some of the best writing ever) https://t.co/UGPY5bavza

Kevin Weil 🇺🇸 (@kevinweil) — Sat, 09 May 2026 21:27:25 GMT

This a matter of extreme importance (and some of the best writing ever) theatlantic.com/magazine/2026/…

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I will never get tired of this

Kevin Weil 🇺🇸 (@kevinweil) — Fri, 08 May 2026 04:24:42 GMT

I will never get tired of this

Peter Beck@Peter_J_Beck

for your enjoyment

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👇👇👇

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 05 May 2026 00:50:10 GMT

👇👇👇

Casey Handmer@CJHandmer

If you enjoy a universe in which Ashlee Vance builds an empire that performs exquisitely entertaining and factual reporting that celebrates technology and its power to improve all our lives...

Then you should subscribe, like I did.

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It turns out, the job of a radiologist isn't to read x-rays. It's to cure people. And if AI can ...

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 29 Apr 2026 20:18:10 GMT

It turns out, the job of a radiologist isn't to read x-rays. 

It's to cure people. 

And if AI can help speed the process of understanding x-rays, radiologists can see and cure more people.

James Pethokoukis ⏩️⤴️@JimPethokoukis

"A decade ago, AI was supposed to replace radiologists. Today, radiologists make more than $500,000 per year, and their employment continues to grow, see chart below. Reading scans is a task, not a job, and when the task gets cheaper, demand for the job grows."

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💥🤘

Kevin Weil 🇺🇸 (@kevinweil) — Mon, 27 Apr 2026 02:21:22 GMT

💥🤘

William Fedus@LiamFedus

Industrial-scale science. Coming to a lab near you this summer.

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Today is my last day at OpenAI, as OpenAI for Science is being decentralized into other research tea...

Kevin Weil 🇺🇸 (@kevinweil) — Fri, 17 Apr 2026 19:58:26 GMT

Today is my last day at OpenAI, as OpenAI for Science is being decentralized into other research teams. It’s been a mind-expanding two years, from Chief Product Officer to joining the research team and starting OpenAI for Science. Accelerating science will be one of the most stunningly positive outcomes of our push to AGI, and I’m rooting for @sama@markchen90@fidjissimo@gdb@merettm and the whole team!

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The new codex computer use is shockingly good

Kevin Weil 🇺🇸 (@kevinweil) — Fri, 17 Apr 2026 05:02:23 GMT

The new codex computer use is shockingly good

Ari Weinstein@AriX

This is the first time I've ever seen an LLM operate a GUI as fast as a person, and it's surreal.

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💥 Super excited to launch GPT-Rosalind, our first frontier model built for scientific research acro...

Kevin Weil 🇺🇸 (@kevinweil) — Thu, 16 Apr 2026 19:37:34 GMT

💥 Super excited to launch GPT-Rosalind, our first frontier model built for scientific research across biology, drug discovery, and translational medicine. 

The model is trained in chemistry, protein engineering, genomics and more, including built-in knowledge of relevant databases and tools researchers use.

We want to make these capabilities available to scientists and researchers while maintaining strong safeguards against biological misuse. GPT-Rosalind is launching through a trusted access deployment structure for qualified customers. 

We're also launching a Life Sciences plugin for Codex to everyone today, which works with our mainline models as well as GPT-Rosalind.

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See our blog post for videos and demos: https://t.co/YDE0XkFuUO Request access to GPT-Rosalind here...

Kevin Weil 🇺🇸 (@kevinweil) — Thu, 16 Apr 2026 19:37:34 GMT

See our blog post for videos and demos: openai.com/index/introduc…

Request access to GPT-Rosalind here: openai.com/form/life-scie…

Life Sciences plugin: github.com/openai/plugins…

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Could not agree more with @gdb.

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 14 Apr 2026 06:10:15 GMT

Could not agree more with @gdb.

Greg Brockman@gdb

The world is transitioning to a compute-powered economy.

The field of software engineering is currently undergoing a renaissance, with AI having dramatically sped up software engineering even over just the past six months. AI is now on track to bring this same transformation to every other kind of work that people do with a computer.

Using a computer has always been about contorting yourself to the machine. You take a goal and break it down into smaller goals. You translate intent into instructions. We are moving into a world where you no longer have to micromanage the computer. More and more, it adapts to what you want. Rather doing work with a computer, the computer does work for you. The rate, scale, and sophistication of problem solving it will do for you will be bound by the amount of compute you have access to.

Friction is starting to disappear. You can try ideas faster. You can build things you would not have attempted before. Small teams can do what used to require much larger ones, and larger ones may be capable of unprecedented feats. More and more, people can turn intent into software, spreadsheets, presentations, workflows, science, and companies.

People are spending less energy managing the tool and more energy focusing on what they are actually trying to create. That shift brings a kind of joy back into work that many people haven’t felt in a long time. Everyone can just build things with these tools.

This is disruptive. Institutions will change, and the paths and jobs that people assumed were stable may not hold. We don’t know exactly how it will play out and we need to take mitigating downsides very seriously, as well as figuring out how to support each other as a society and world through this time. But there is something very freeing about this moment. For the first time, far more people can become who they want to become, with fewer barriers between an idea and a reality. OpenAI’s mission implies making sure that, as the tools do more, humans are the ones who set their intent and that the benefits are broadly distributed, rather than empowering just one or a small set of people.

We're already seeing this in practice with ChatGPT and Codex. Nearly a billion people are using these systems every week in their personal and work lives. Token usage is growing quickly on many use-cases, as the surface of ways people are getting value from these models keeps expanding.

Ten years ago, when we started OpenAI, we thought this moment might be possible. It’s happening on the earlier side, and happening in a much more interesting and empowering way for everyone than we’d anticipated (for example, we are seeing an emerging wave of entrepreneurship that we hadn’t previously been anticipating). And at the same time, we are still so early, and there is so much for everyone to define about how these systems get deployed and used in the world.

The next phase will be defined by systems that can do more — reason better, use tools better, plan over longer horizons, and take more useful actions on your behalf. And there are horizons beyond, as AI starts to accelerate science and technology development, which have the potential to truly lift up quality of life for everyone. All of this is starting to happen, in small ways and large, today, and everyone can participate. I feel this shift in my own work every day, and see a roadmap to much more useful and beneficial systems. These systems can truly benefit all of humanity.

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This is a great take. Human intelligence and computer intelligence are not different points on a lin...

Kevin Weil 🇺🇸 (@kevinweil) — Mon, 13 Apr 2026 02:04:30 GMT

This is a great take. Human intelligence and computer intelligence are not different points on a line, but in a high dimensional space—and we should explore more of the space.

Michał Podlewski@trajektoriePL

Terence Tao proposes what he calls a "Copernican view of intelligence". 

Instead of buying into the common, one-dimensional narrative that artificial intelligence will simply evolve from "subhuman" to "superhuman" and ultimately make humanity entirely redundant, Tao urges us to look at the bigger picture.

Much like the Copernican revolution proved the Earth is not the center of the universe, Tao suggests we need to realize that human intelligence isn't the only, or necessarily the highest, form of intellect. Historically, we have treated other forms of storing or creating knowledge—like animals, books, and computers—as secondary. However, we actually exist within a much richer universe of intelligence.

Both human intelligence and computer intelligence possess their own distinct strengths and weaknesses. The true potential lies not in viewing them as direct competitors, but rather in focusing on collaboration. By working together, humans and computers can achieve additional things that neither could accomplish on their own, requiring us to think in much wider terms than just what humans or computers can do alone.

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Five Erdos problems at once! The proofs are getting more elegant as the models improve 👀

Kevin Weil 🇺🇸 (@kevinweil) — Thu, 09 Apr 2026 02:55:25 GMT

Five Erdos problems at once! The proofs are getting more elegant as the models improve 👀

Mehtaab Sawhney@mehtaab_sawhney

We’ve just released another paper solving five further Erdős problems with an internal model at OpenAI: arxiv.org/abs/2604.06609.

Several of the proofs were especially enjoyable to digest while writing the paper. My personal favorite was the solution to Erdős Problem 1091. The question asks: if a graph G has chromatic number 4, while every small subgraph has chromatic number at most 3, must it contain an odd cycle with many diagonals? The internal model gives a very enlightening counterexample to this conjecture, and the proof was a pleasure to understand.

For those so inclined, a really fun exercise is to try to reconstruct the proof from Figure 5 of the paper, which was of course produced by Codex.

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Btw: @hemal built this as a simple skill in a few hours, since Prism is powered by Codex. More to co...

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 07 Apr 2026 19:01:00 GMT

Btw: @hemal built this as a simple skill in a few hours, since Prism is powered by Codex. More to come.

And if you love the idea of building AI-native products to accelerate science, we're hiring a lead designer for Prism: apply here! jobs.ashbyhq.com/openai/7e265ae…

Kevin Weil 🇺🇸@kevinweil

💥 New in Prism today: Paper Review, an AI workflow for reviewing technical and scientific papers. 

This is the opposite of AI slop: we're using AI to improve scientific rigor, correctness, and reproducibility.

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Try it out at https://t.co/4MBs45PNiU today and let me know what you think!

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 07 Apr 2026 17:48:20 GMT

Try it out at prism.openai.com today and let me know what you think!

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💥 New in Prism today: Paper Review, an AI workflow for reviewing technical and scientific papers. ...

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 07 Apr 2026 17:48:19 GMT

💥 New in Prism today: Paper Review, an AI workflow for reviewing technical and scientific papers. 

This is the opposite of AI slop: we're using AI to improve scientific rigor, correctness, and reproducibility.

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Paper Review is built to act more like a careful technical reviewer than a grammar checker. It looks...

Kevin Weil 🇺🇸 (@kevinweil) — Tue, 07 Apr 2026 17:48:19 GMT

Paper Review is built to act more like a careful technical reviewer than a grammar checker. It looks for issues in math, derivations, notation, units, structure, and whether a paper’s claims are actually supported by the results. It also catches inconsistencies across sections, figures, tables, captions, and appendices. The goal is to help authors strengthen technical rigor and correctness before submission.

Inside Prism, it runs as a structured workflow and writes its output as an editable LaTeX review file directly in the project. That means the review becomes part of the paper workspace itself, so authors can revise and work through feedback in the same environment as the manuscript. It also flags unclear phrasing, citation issues, and proofreading mistakes before submission.

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Not only is AI solving more open problems—its proofs are getting more elegant as the models improve

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 01 Apr 2026 04:38:05 GMT

Not only is AI solving more open problems—its proofs are getting more elegant as the models improve

Mehtaab Sawhney@mehtaab_sawhney

We are excited to share a new paper solving three further problems due to Erdős; in each case the solution was found by an internal model at OpenAI. Each proof is short and elegant, and the paper is available here: arxiv.org/pdf/2603.29961

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"An open source workflow for producing a personalized mRNA cancer vaccine"

Kevin Weil 🇺🇸 (@kevinweil) — Sun, 29 Mar 2026 20:29:55 GMT

"An open source workflow for producing a personalized mRNA cancer vaccine"

Yishan@yishan

My friend @philfung was inspired by the man who built a personalized cancer vaccine for his dog, so he wrote a guide to DIY mRNA vaccine production.  

Phil used to run a lab startup, and the guide covers the entire process - from sequencing to synthesis, using open-source software and benchtop lab equipment.  

Note: This is for educational purposes only and is not intended for medical use

um unless you have cancer

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Paul used ChatGPT + AlphaFold to create a personalized mRNA vaccine protocol for his dog's cancer. ...

Kevin Weil 🇺🇸 (@kevinweil) — Fri, 27 Mar 2026 06:44:18 GMT

Paul used ChatGPT + AlphaFold to create a personalized mRNA vaccine protocol for his dog's cancer. 

This is a glimpse of the future, with AI accelerating personalized medicine. We have to make it easier for people to do this for people, not just dogs!

Paul S. Conyngham@paul_conyngham

x.com/i/article/2036…

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👀

Kevin Weil 🇺🇸 (@kevinweil) — Wed, 25 Mar 2026 14:16:16 GMT

👀

Jared Duker Lichtman@jdlichtman

In the latest paper of Terry Tao

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I’m inspired by young people putting frontier AI to work in science in new and surprising ways. We ...

Kevin Weil 🇺🇸 (@kevinweil) — Mon, 23 Mar 2026 15:01:00 GMT

I’m inspired by young people putting frontier AI to work in science in new and surprising ways.

We recently met a young astronomer who used AI to analyze massive datasets. He identified 1.5 million new celestial objects in space, and the head of NASA offered him a job and a ride in a fighter jet as a signing bonus! (x.com/rookisaacman/s…)

To celebrate stand-out students and recent grads like this—and help keep their ideas moving—we’re launching a new program: ChatGPT 26. If you're selected, we'll host you at OpenAI HQ in SF, give you access to our latest tech, and give you a $10K cash grant to keep pushing your ideas forward.

If this sounds like you, we’d love to meet you and hear your story. Apply or nominate someone here: chatgpt26.com

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Kevin Weil 🇺🇸(@kevinweil)

AI x mathematics ftw. What an incredible release today from OpenAI 🤯 There's a lot of work to do t...

Nine loop calculations in N=4 Super Yang-Mills! Lance Dixon's 8-loop calculation was mind boggling w...

We need more of this kind of optimism about AI. Great take from @jeffreykWNDR on AI, technology, and...

This is exactly the right take.

Gradually, then all at once.

This is exactly the right take from @ericvishria @buccocapital

Thoughtful post (as usual) from @tylercowen on AI and mathematics. The last paragraph is particula...

Go go @stoke_space! The world needs orders of magnitude more launch capacity.

💯

A rank 30 elliptic curve!! It's gotten to the point where I'm excited to wake up each morning becau...

This is spot on. It would be a shame if we get AGI for enterprise productivity and miss on AGI for s...

This is insane and so exciting. All ten of these are *major* results in the field. Just imagine wh...

I love this so much. The future is going to be awesome.

There really is nothing like X.

Wise words.

Important read 🇺🇸 You can't lead over the longer term without leading in science.

This is an amazing quote, and it's true well beyond politics. There is no they. Everyone is figur...

Super excited to be joining the @stoke_space board! 🚀 I've known Andy since their seed round (thx ...

"People who are serious about technology have to get serious about society." On July 4th, a quick ...

🇺🇸

Excited to listen to this. @ssankar is a patriot and a visionary and it's been an honor to serve alo...

Super proud of @elizabeth and everything she's built at Scribble Ventures. The below is a great over...

This is such a good idea.

This is why I never put myself in this situation.

This is so cool—and super important for accelerating AI's impact on science and health.

I'm such a huge fan of what @suekhim and the Brilliant team have built. When every kid in every co...

A friend shared this with me, and I love it so much. Make no little plans.

The next in a series of firsts for AI and mathematics!

This from @tdrobbo is gold.

This a matter of extreme importance (and some of the best writing ever) https://t.co/UGPY5bavza

I will never get tired of this

👇👇👇

It turns out, the job of a radiologist isn't to read x-rays. It's to cure people. And if AI can ...

💥🤘

Today is my last day at OpenAI, as OpenAI for Science is being decentralized into other research tea...

The new codex computer use is shockingly good

💥 Super excited to launch GPT-Rosalind, our first frontier model built for scientific research acro...

See our blog post for videos and demos: https://t.co/YDE0XkFuUO Request access to GPT-Rosalind here...

Could not agree more with @gdb.

This is a great take. Human intelligence and computer intelligence are not different points on a lin...

Five Erdos problems at once! The proofs are getting more elegant as the models improve 👀

Btw: @hemal built this as a simple skill in a few hours, since Prism is powered by Codex. More to co...

Try it out at https://t.co/4MBs45PNiU today and let me know what you think!

💥 New in Prism today: Paper Review, an AI workflow for reviewing technical and scientific papers. ...

Paper Review is built to act more like a careful technical reviewer than a grammar checker. It looks...

Not only is AI solving more open problems—its proofs are getting more elegant as the models improve

"An open source workflow for producing a personalized mRNA cancer vaccine"

Paul used ChatGPT + AlphaFold to create a personalized mRNA vaccine protocol for his dog's cancer. ...

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I’m inspired by young people putting frontier AI to work in science in new and surprising ways. We ...

This is insane and so exciting. All ten of these are major results in the field. Just imagine wh...