Get Diogo Almeida on All-In with Chamath, Jason, Sacks & Friedberg
Next goal: 5
The OpenAI alum betting the next wave of AI won’t look like ChatGPT
Sane + 🌶️ takes in an insane AI world... AI capabilities researcher: co-created RLHF/ChatGPT @ @openai now trying to right the wrong 🤭 (ceo @typesafeai)
Industry veterans, degenerate gamblers & besties Chamath Palihapitiya, Jason Calacanis, David Sacks & David Friedberg cover all things economic, tech, political, social & poker.
Diogo Almeida is the founder of TypeSafe AI and previously worked at OpenAI on InstructGPT and the research that helped turn language models into useful assistants.
Now he’s questioning one of the basic assumptions of the AI boom: if these models are already so intelligent, why have they automated so little actual work?
TypeSafe’s answer is Jev — a different kind of AI model built around decisions rather than conversation. Instead of generating paragraphs of text that software then has to interpret, Jev takes in context and returns typed decisions with probabilities that software can act on directly.
The idea seems to have struck a nerve. Within 24 hours of appearing on Vercel’s AI Gateway, Jev was being used by nearly 13% of paid teams — more than twice the adoption of any previous model launch on the platform.
That makes the conversation bigger than “here’s another new AI model.”
Diogo is effectively making the case that the next major wave of AI may not come from making chatbots endlessly smarter. It may come from making intelligence cheap, fast and reliable enough to disappear inside ordinary software.
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🚀 Nomination created: Diogo Almeida (@completeskeptic) on All-In
Diogo Almeida — co-inventor of InstructGPT and RLHF, now CEO of TypeSafe AI — has been nominated to appear on All-In with Chamath, Jason, Sacks & Friedberg. Add your support to make it happen.
📡 Why now: TypeSafe AI emerges from stealth with a $40M seed round
On September 15, 2026, Almeida launched Jev and TypeSafe AI came out of stealth, closing a $40M seed round — exactly the kind of contrarian AI infrastructure bet the All-In besties dig into.
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RLHF's Original Sin: Did Human Feedback Break Autonomous AI?
Diogo co-invented RLHF, the technique that made ChatGPT possible, and now publicly argues it's the reason AI can't operate without a human in the loop. No one on the pod has ever interrogated the foundational training choice that produced the current AI paradigm from someone who actually made it.
Synthetic Data Only: The Bet That Changes Everything
Diogo trained Jev entirely on synthetic data and calls it 'one of the best bets I've ever made.' The All-In crew has debated data moats ad nauseam — Diogo is a live case study of whether you can build a frontier model without scraping the internet, and that changes every assumption Chamath and Sacks have made about data as a competitive advantage.
Hallucination-Free Claims vs. Real-World Calibration
TypeSafe is marketing Jev as 'the world's first hallucination-free frontier model,' but independent reviewers note the benchmarks are self-tested by TypeSafe's own team. Friedberg and Sacks will want to grill him on whether that claim holds in production, or if it's the kind of AI marketing that gives the whole industry a credibility problem.
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Nomination created on September 22, 2026
Get Diogo Almeida on All-In with Chamath, Jason, Sacks & Friedberg!