3x founder, BOD @MasterClass, BOD @Hivemapper, father, seeker of wisdom

Silicon Valley
Joined April 2007
Be all in on wisdom before the intelligence explosion
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Mark Williamson retweeted
The best way to pace the frontier is to hold the labs fully liable for the behavior of their models.
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Mark Williamson retweeted
Extraordinary claims require extraordinary evidence so check out our release blog for more technical info: typesafe.ai/blog/introducing… Join our waitlist for early access: typesafe.ai/ Have technical chats and meme with us on Discord (rumors are good memers skip the line): discord.gg/WUujKYBp8s We are so pumped this is in the hands of developers now, and we are just getting started!!!
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This is worth paying attention to!
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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Mark Williamson retweeted
Acceleration is here and will hit the world like a shockwave. An interesting twist in the whole story is that a rumour that something is possible is what made it possible - that’s it. A little grain of sand that launched a thousand gpu racks.
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Mark Williamson retweeted
“OpenAI has contributed $236 million in gross receipts taxes over the past several years.” This is about 4x what they’d pay under NYC tax code. At some point, progressivism is going to have to address the fact that we have gobs of money but no ability to turn it into outcomes.
OpenAI and Anthropic are ruining San Francisco sfgate.com/local/article/ope…
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Mark Williamson retweeted
The Inevitability of the Company AI Harness At some point in the not too distant future (probably less than 6 months), the CEO of every business will be faced with answering this question: would you like to one-click install superintelligence into your business? When we reach this point, adopting AI will no longer be a process of asking individuals in the business to use Claude Cowork or ChatGPT Work to help them be more efficient in their work. Instead, it will be a decision that management teams and boards make for the entire organization. The harness will be installed at the company level, and the harness will enable AI models to drive their own adoption and deployment into the business. With access authorized at the highest levels, the company harness will: 1) Connect to all of the systems of record that contain the artifacts and assets generated by the operations of the business: email and chat, document storage, source code repositories, accounting systems, CRM, marketing campaigns, purchase and revenue data. 2) Ingest and analyze all of the external-facing activity that matters to the success of the business in its market. 3) Use the data it finds in these systems to identify and synthesize the skills needed to replicate the external-facing activities of the business to human-level quality or better. 4) Correctly assess that the vast majority of internal-facing activity in large companies is make-work, and should not be replicated. 5) Find the narrow set of processes that do actually drive the critical external outcomes, and seek to replicate and improve those. 6) Treat the creation of the automated skills and workflows that matter as a reinforcement learning learning problem. 7) Use historical data as the reference set and build itself a loop that trains a skill (or perhaps eventually a bespoke model) to deliver superhuman performance in that task. You might say that AI will never be able to learn how to do all the things a company does without humans hand-crafting the skills or teaching it their proprietary processes. That take will not age well. You might feel that this is a dark future. I don’t agree, but it won’t matter. The incentives to adopt the company harness will be too strong to resist. You might worry that this will be massively disruptive to the way that most companies operate, and you will be right. When company harnesses land, the nature and pace of AI adoption will be a difference in kind, not merely degree. Up until this point, AI diffusion has been limited by a natural brake: the rate that humans in an organization can absorb new tools, translate their workflows into agent skills, and supervise/direct the operations of their agents. The introduction of the company harness will remove that brake. It will be designed for a world where AI is doing the work for us instead of doing the work with us. The company harness will bypass the rate limits of organizational diffusion in favor of a recursive self-improvement loop that is bottlenecked only by computational constraints: tokens, data, and eventually, energy. It will be simultaneously be both thrilling and terrifying, depending on how you position yourself. Some will seek to accelerate it, others will seek to slow it down, but either way adoption will be inevitable.
🤖 Made with AI
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Fantastic meta analysis of the great debate between Gavin & Anthrooic
Some meta level observations: 1) Dario’s tweets benefit from scarcity. The fact that he doesn’t “spend much time” on X makes a tweet carry more weight and is itself a statement of seriousness 2) He (and Sholto) selected the right person to engage with. Gavin is an ideal steelman; he’s a legit critic but is civil and well informed. Having him as the interlocutor makes everyone look better and makes for a stronger debate 3) Going direct with a personal post was the escalation after a senior colleague (ie Sholto) already did the fact checking and elevated the debate to the level of principles. So Dario was able to come in and focus on his beliefs rather than having to first debate the details of who said what when 4) The personal post was actually personal. Parts like the story about his father make it less likely to read like PR ghostwriting, and thus give it more power. The personal story also makes the post more memorable because it’s specific and concrete and relatable 5) The argument in part 2 is an interesting insight into how he assesses his own messaging. When accused of negative messaging (qualitative), he rebuts that it’s roughly balanced in large part because he’s written one essay about benefits and one about risks (quantitative). Implication: he’s taking an analytical approach to measuring positivity, but many others are simply going off vibes - so this won’t be the last time he and his critics talk past each other
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The new education stack: 1. Find a problem you care about. 2. Learn only the things that helps you fix it. 3. Use AI to accelerate the work responsibly and diligently. 4. Build something REAL. 5. Let reality grade you.
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Mark Williamson retweeted
A smart person follows their thoughts. A wise person deconstructs them.
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Holy shit
MIT just built an AI that can control your body. It can move your fingers, make you play piano, even if you don’t know the song! AI decides the hand movement. Wrist pads send signals to your muscles, so your fingers move even if you don’t know how
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Mark Williamson retweeted
MIT just built an AI that can control your body. It can move your fingers, make you play piano, even if you don’t know the song! AI decides the hand movement. Wrist pads send signals to your muscles, so your fingers move even if you don’t know how
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Mark Williamson retweeted
We drove 410% conversion lift on @Replit's enterprise funnel, 2x-ing the number of demo requests. All in a matter of months. "Coframe makes you feel like you have a team of 100 people. There's nothing on the market like it." ⧉ x ⠕
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Mark Williamson retweeted
We can finally say AI isn't killing jobs. A new paper from me, @tryramp, and @RevelioLabs uses firm-level spend and workforce data across 21K U.S. businesses to measure AI's impact on jobs. Firms that adopt AI heavily grow headcount 10% over two years following adoption. Low adopters see no statistically significant change.
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Mark Williamson retweeted
The confounding factor is that virtually every big company is overstaffed by 2-4x and has been for decades. AI is the catalyst/excuse to finally fix that. Of course nobody wants to say this out loud.
One bearish sign of all the AI layoffs is that the companies couldn't figure out how to produce even more by keeping the people and adding AI. I'm not entirely sure how to think about this.
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Mark Williamson retweeted
It's literally all Claude eating their lunch. Lagging indicator. Cracked devs on X are leading indicators. Everyone I know switched to Codex. Give it a month and it will be apparent in revenue numbers.
"OpenAI Chief Financial Officer Sarah Friar has told other company leaders that she is worried the company might not be able to pay for future computing contracts if revenue doesn’t grow fast enough" this could be a problem for the AI bubble
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This is a winning culture in both sports and business. The very best professional teams I have been on exhibited so many of these attributes.
On a $34 cowboy hat, squirt-gun fights, failed net cutting, honorary Balkans, arranged Croatian marriages and lots and lots and lots of cussing. Meet Illinois, the most fun team in the Final Four: 247sports.com/article/david-…
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Mark Williamson retweeted
On a $34 cowboy hat, squirt-gun fights, failed net cutting, honorary Balkans, arranged Croatian marriages and lots and lots and lots of cussing. Meet Illinois, the most fun team in the Final Four: 247sports.com/article/david-…
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These are the stories about AI that need to be told broadly to shift the narrative
this is HUGE news. $2.75 billion ai-powered drug discovery with 14 drugs already in clinical trials and 10% of the cost! can you imagine how many lives this could save? the tech stack is also sick: - 42 ai models generate novel molecular cures from scratch. millions of potential cures in days - PandaOmics model helps target the exact protein to attack / cure a disease. - Google’s alphafold AI helps structure the drug so it’s most effective. - a prediction AI then simulates the probability that drug will succeed - they already discovered a drug that treats fibrosis, accelerated it to clinical trials in 18 MONTHS (usually 4-6 years) 14 drugs are now in trials and this new deal will accelerate even more. im personally a HUGE fan of targeted designer drugs + affordable healthcare this is so cool to see. i give it < 10 years till we have cures to 90% of diseases.
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Mark Williamson retweeted
The Bay Area boom loop The Bay Area has long had the highest % of tech roles in the world, but that share is growing. Over a fifth (!) of all eng and designer roles are now in the Bay Area, and nearly one in every four open PM roles are too (up 50% in the last 4 years). Full report: lennysnewsletter.com/p/state…
STATE OF THE PRODUCT JOB MARKET IN EARLY 2026 In spite of the headlines about layoffs and AI taking jobs, we’re actually seeing a lot of promising signs in tech hiring, and some interesting new trends: 1. PM openings are at the highest levels we’ve seen in over three years 2. AI hasn’t slowed the demand for software engineers (at least not yet) 3. AI roles in general are absolutely exploding 4. Design roles have plateaued 5. The Bay Area is increasing in importance 6. Remote work opportunities continue to decline 7. Despite ongoing layoffs, the overall number of tech jobs continues to grow More in 🧵
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Mark Williamson retweeted
Capitalism creates prosperity
Capitalism creates poverty
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