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Diogo Almeida

Co-Founder and Chief Executive Officer, TypeSafe AI

Search every verified Diogo Almeida interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Diogo Almeida, co-founder and CEO of TypeSafe AI, recently launched Jev, a model the company describes as a "system one model" designed for software automation rather than text generation. In interviews and talks following the release, Almeida argued that existing LLMs are optimized for human-pleasing assistance tasks, which he said limits their usefulness for reliable, autonomous decision-making in software. He stated that TypeSafe "forked the tree of research" away from RLHF and RLVR to build Jev, emphasizing properties such as speed, efficiency, cost, and calibration. Almeida also discussed plans to expand beyond Jev, describing a vision for an "AWS of intelligence" and expressing interest in hiring to support further model development. Almeida, who previously spent four and a half years at OpenAI and contributed to InstructGPT and RLHF work, has been critical of the gap between AI's benchmark performance and its practical automation capabilities, frequently asking "where is all the automation." He has said that coding agents may speed up software writing but do not necessarily improve the software itself, and he advocates for embedding intelligence into software so it can reason about intent and make probabilistic decisions. Almeida also acknowledged potential misuse of fast, low-cost models, including drone control or malware, while stating he prefers to "err on the side of honesty" about such risks. He has credited early developer reception of Jev as unexpectedly strong, calling it a "ChatGPT for developers."

Recent appearances

  • jev: on | Diogo Almeida founder of Typesafe AI, Runtime 2026

    AI can write code, run deep research and chat like a human, so why can't it do basic data entry or approve a refund? Diogo Almeida, CEO and co-founder of TypeSafe AI and a co-author of RLHF, InstructGPT and ChatGPT, says it's because every LLM today is optimized for assistance and pleasing the human in the loop. None are optimized for automation, where the only goal is to be correct. In this talk from Runtime 2026, Diogo explains how TypeSafe AI forked the research tree to build Jev, its System 1 models made for the inner loop of software. He covers why benchmarks hurt the industry, and why h…

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  • Why Jev Is Changing How We Build With AI

    In this episode, Diogo Almeida, co-founder and CEO of TypeSafe, joins us to discuss Jev, TypeSafe’s recently released model for bringing fast, reliable intelligence directly into software. We explore the idea of “machine-native intelligence” and why Diogo believes models optimized for generating text are poorly suited to many of the decisions required for real-world automation. He explains how Jev differs from traditional classifiers and LLM-based approaches, the role of reinforcement learning from calibrated decisions (RLCD), and why calibration and reliability are central to making AI useful…

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  • How Jev Could Expand What Every Developer Can Create

    a16z’s Ben Horowitz and Martin Casado sit down with TypeSafe AI founder Diogo Almeida to ask a simple question: AI has become remarkably capable, so where is all the automation? Diogo argues that coding agents may help us write software faster, but the software they produce still largely works the way software always has. TypeSafe is taking a different approach with Jev: putting intelligence inside software itself, so developers can build programs that reason about intent and make probabilistic decisions rather than simply generate text for a human to interpret. They discuss why reliability…

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  • Meta Connect Reactions, Zuck's Beer Pong Controversy, ClusterMAX 3.0, New Bentley EV

    00:01:13 Meta Connect Reactions 00:45:04 Australia vs. AI Agents 00:47:33 𝕏 Timeline Reactions 00:49:26 New Bentley EV 00:52:37 Shalev Lifshitz discusses his background in AI research and the launch of an AI security company with his sister, Romy Lifshitz. He highlights threats to rapidly expanding AI infrastructure—including model sabotage, escape, and theft—and introduces their Secure Acceleration report outlining ways to protect AI systems as they advance. 00:59:38 Leif Abraham discusses Public.com’s launch of AI agents for prediction markets focused on market-moving events rather than spor…

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  • Why I couldn't build Jev at OpenAI — Diogo Almeida, TypeSafe Co-founder & CEO

    From helping build instruction-following models at OpenAI to spending years trying to answer why AI can solve extraordinarily ...

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  • TypeSafe JEV Review Q&A with Diogo Almeida

    System One Model: TypeSafe JEV Launch.

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  • Jev: Why RLCD beats RLHF — Diogo Almeida, TypeSafe AI

    RLHF made models that are extraordinary at pleasing the human in the loop, and Diogo Almeida, a GPT-4 co author, argues that is exactly the problem. Optimizing for human preference optimizes for engagement and for overpromising, the same pressure that makes a model confidently agree that a fart audio file is a symphony. That produces two camps: one where models act as assistants with a human catching mistakes, where RLHF shines, and one where they operate autonomously with real stakes, where the same instinct to please quietly becomes a liability. So what comes next is not the Claude Code era…

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  • AI: too good to be true, too bad to be useful | TypeSafe AI

    [2026 - DAY 1 - INFERENCE SYSTEMS] Why are some AI applications too good to be true and others total bunk? What is the ...

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  • Diogo Almeida - TypeSafe AI

    This pitch is part of our invite-only Founders You Should Know startup showcase. Apply to attend one of our shows person: https://forms.gle/YM73r9KUCQMTjvn97. TypeSafe AI is building a new class of large language models designed explicitly for true no-human-in-the-loop automation, not conversational assistants. Learn more about TypeSafe AI @ https://typesafe.ai/

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  • Deep Learning: Modular in Theory, Inflexible in Practice - Diogo Almeida (Enlitic)

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The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →