Pretrained

Pierce Freeman & Richard Diehl Martinez

10 years after studying at Stanford, two friends have somehow become AI experts. One builds startups, the other studies at Cambridge - together they break down LLMs and machine learning with zero BS and maximum banter.

  1. 2일 전

    Claude Gets a New Constitution

    Richard's finally back in San Francisco! The gang covers Claude's new constitution, reinforcement learning with AI instead of human feedback, why Apple went with Gemini for their new Siri revamp, homographic encryption, a $480m fundraising round for Humans& (note the ampersand), and much more.

    1시간 14분

  2. 1월 21일

    Why Your Agent is Cheating

    Pierce and Richard are back for the second listener mailbag. They break down what reward hacking really is and why models so often learn the wrong lesson, explain practical fine-tuning (from pre-training to prompting), unpack why LLMs use tokens instead of words, how context length is a hardware versus mathematic limitation, and much more.

    1시간 1분

  3. 1월 14일

    The sci-fi to startup pipeline

    Pierce and Richard are joined by Bella Cooper-Brown, Oxford material scientist turned science fiction author. They cover why defense tech companies name themselves after Lord of the Rings, Asimov's three laws of robotics, why engineers don't read enough fiction, the intersection of material science and AI research, how speculative fiction shapes the tech we build, and the ethics of AI companions and relationships. 📚 Frankenstein; or, The Modern Prometheus by Mary Shelley (1818)📚 Snow Crash by Neal Stephenson (1992)📚 I, Robot by Isaac Asimov (1950)📚 Klara and the Sun by Kazuo Ishiguro (2021)

    1시간 31분

  4. 1월 7일

    Can we really trust reasoning

    Pierce and Richard cover the news that dropped over the holiday break. Getting breaking news incorporated within chatbots, OpenAI's "code red" over Google's Gemini 3, benchmarking the reliability of chain of thought to introspect model behavior, and a review of Claude Skills. Further reading:- https://www.wired.com/story/us-invaded-venezuela-and-captured-nicolas-maduro-chatgpt-disagrees- https://fortune.com/2025/12/02/sam-altman-declares-code-red-google-gemini-ceo-sundar-pichai/- https://openai.com/index/evaluating-chain-of-thought-monitorability/- https://platform.claude.com/docs/en/agents-and-tools/agent-skills/overview

    51분

  5. 2025. 12. 19.

    Our biggest predictions for 2026

    We should really be on Polymarket. Pierce and Richard make their bets on GPT-6, competition between the different letters of FAANG, dynamic websites calibrated to user preferences, and increasing quality of OSS models.

    37분

  6. 2025. 12. 17.

    AI's ten big moments of 2025

    It's been a long year in the world of AI. Benchmarks are now almost totally saturated; the financial bubble keeps growing; spending more on inference compute; increasing competition from open source models; agents finally reach the mainstream; the frankly horrible job market for people out of school; multi-model models are back and increasing converging on transformer architectures. We cover them all in our anything goes holiday recap show. Plus - all the things that didn't happen this year.

    1시간 33분

  7. 2025. 12. 12.

    Looking back on a year of product market fit

    Pierce reflects on his own 2025. Thoughts on choosing the right buyer persona, scaling an AI business from zero lines in a github repo, the feeling of finally reaching product market fit, boring versus interesting businesses, and more.

    39분

  8. 2025. 12. 10.

    Looking back on three years of an AI PhD

    Richard takes the hot seat for the first episode of our 2025 recap series where we spend the rest of December looking back on what this year meant to us personally and in the world of AI/ML. We cover what it's like to defend a thesis in the UK, the difficulty of training meta-learning models, choosing a well scoped research topic, how to define small models, and what's needed to make them better.

    56분
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소개

10 years after studying at Stanford, two friends have somehow become AI experts. One builds startups, the other studies at Cambridge - together they break down LLMs and machine learning with zero BS and maximum banter.

정보

  • 제작진
    Pierce Freeman & Richard Diehl Martinez
  • 방송 연도
    2025년 - 2026년
  • 에피소드
    43
  • 등급
    전체 연령 사용가
  • 저작권
    © 2026 Pierce Freeman & Richard Diehl Martinez
  • 웹사이트 보기
    Pretrained