#大佬观点

Life is full of things that, by complexity or design or lack of care or required time, are hard to navigate: healthcare, government, personal finance, school forms are all among them It is why I feel consumer AI is underrated. People muddle by, but need help than they can't get.

In my ~14 months at @OpenAI, one of the most surprising and genuinely wonderful things about it, has been the full leadership support for full-duplex models (gpt-live series), even when it seemed deeply improbable that they would work. And yet, if they did work, it was obvious how magical they could be. I am quite sure this is not an exception but a general rule for research projects at @OpenAI. There were so many moments when the problem felt impossibly hard. But one thing kept being true: it was never clear why it shouldn’t work. And almost every time we understood the problem a little better, it became a little easier to solve. I’m pretty sure there are very few environments in the world where a bet like this could have been made and sustained. So grateful to be part of this wonderful place.

Who should rise in status based on this new realisation?

Three months later, Grok’s progress is amazing, and @bot makes it even more powerful and easier to use. This is the fidelity using the same prompt: “Explain Navier-Stokes equation and how it relates to airfoil design with actual fluid dynamics simulation.”

My conversation with Sam Altman (@sama), co-founder & CEO of @OpenAI. 0:00 Tobi Lütke, AI-Native Companies & Why Adoption Moves Slowly 5:45 Sam's Own Resistance to AI & the Missing iPhone Moment 10:00 Models, Compute, Power Laws & Non-Consensus Talent 18:37 From AI-Obsessed Kid to Founder, Investor & Back Again 23:19 Impossible Problems, Scientific Discovery & Human Connection 30:16 AI's Two Biggest Risks: Loss of Control & Centralized Power 33:09 Iterative Deployment, AI Safety & Learning From Reality 40:27 Why People Fear AI & the Coming Small-Business Boom 46:13 Context, Memory & the Next Way We Will Work With AI 49:17 OpenAI's Platform Strategy & Killing Good Ideas 53:20 Peter Thiel, Paul Graham & the Value of Nonlinear Thinkers 1:00:42 How Y Combinator Changed Startups & Shaped OpenAI 1:04:03 Learning More From Success & the Power of Repetition 1:09:45 Building OpenAI Without Customers, a Product or a Playbook 1:15:57 Letters to His Son & Preserving the Story Includes paid partnerships.

My conversation with Sam Altman (@sama), co-founder & CEO of @OpenAI. 0:00 Tobi Lütke, AI-Native Companies & Why Adoption Moves Slowly 5:45 Sam's Own Resistance to AI & the Missing iPhone Moment 10:00 Models, Compute, Power Laws & Non-Consensus Talent 18:37 From AI-Obsessed Kid to Founder, Investor & Back Again 23:19 Impossible Problems, Scientific Discovery & Human Connection 30:16 AI's Two Biggest Risks: Loss of Control & Centralized Power 33:09 Iterative Deployment, AI Safety & Learning From Reality 40:27 Why People Fear AI & the Coming Small-Business Boom 46:13 Context, Memory & the Next Way We Will Work With AI 49:17 OpenAI's Platform Strategy & Killing Good Ideas 53:20 Peter Thiel, Paul Graham & the Value of Nonlinear Thinkers 1:00:42 How Y Combinator Changed Startups & Shaped OpenAI 1:04:03 Learning More From Success & the Power of Repetition 1:09:45 Building OpenAI Without Customers, a Product or a Playbook 1:15:57 Letters to His Son & Preserving the Story Includes paid partnerships.

@dedene Coding is solved, bugs are not yet solved. Fix incoming

Not even a year ago, 10B tokens in a year was a big achievement and got you a plaque Now I do >10B tokens a week

A good explanation of a model's behavior should help you make predictions in related situations. We turn this into an eval, with thousands of real behaviors found in the wild. Can interp tools help here? On average, no. 🧵

It is amazing how much work it is to wrestle these agents to my will. Don't get me wrong, it's crazy productive. But it's also a lot of hard, focussed work. All my software engineering and problem solving skills are brought into play -- even though I barely look at the code.