Pretrained

Pierce Freeman & Richard Diehl Martinez
  • ٥٫٠ (٢)
  • التكنولوجيا

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. ٢٠ فبراير

    The Neo Lab Arms Race

    $126 billion in AI funding has been raised across 30+ "neo-labs". Most of them will fail. Pierce and Rich map the landscape - from Thinking Machines' $12B valuation on vibes alone to Ilya's SSI. Plus: why OpenAI might be the Fairchild Semiconductor of AI, whether Stanford professors make good founders, and the Sauron's Eye problem of building in a frontier lab's blind spot.

    ١ س ١٤ د

  2. ١٩ فبراير

    Ads in the Chat Window

    The day of reckoning: OpenAI is putting ads in ChatGPT. Pierce and Rich unpack how it actually works, why the shopping use case might be the wrong starting point, and what happens when sub-agents try to sell things to each other. Also: OpenClaw's Peter Steinberger gets acquihired by OpenAI, Waymo builds a world model for self-driving, Mistral's Voxtral takes on Whisper, and the model release arms race hits a new peak.

    ١ س ١٣ د

  3. ١٣ فبراير

    Your Agents Need an Org Chart

    Richard and Pierce go deep on the agent swarm era. Rich argues we're living through a paradigm shift in how we interact with AI: from copy-pasting ChatGPT to orchestrating hundreds of parallel agents. They cover Anthropic's opinionated swarm architecture, why corporate org structures might be the right mental model for agent design, the liability problem when no human reviews the code, thinking tokens as a tuning knob, and whether a 100,000-line AI-generated C compiler is impressive or irrelevant.

    ١ س ٧ د

  4. ١١ فبراير

    Cracking Open OpenClaw

    Pierce and Richard dissect OpenClaw (née Claudebot, née MoltBot) - also known as the desktop agent everyone's installing on their Mac Minis. They cover the 400+ malicious packages that hit Claw Hub in one week, slop squatting, trust networks for open source, Kimi 2.5's agent swarm mode, and newspapers that think Waymo is controlled by joysticks in the Philippines.

    ١ س ١٤ د

  5. ٣٠ يناير

    DeepSeek's New LLM Architectures

    Pierce and Richard break down DeepSeek's latest model architecture moves in Manifold-Constrained Hyper Connections and Engram memory. Are these conceptually sound? Will they hop the pond over to US frontier labs?

    ١ من الساعات

  6. ٢٨ يناير

    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.

    ١ س ١٤ د

  7. ٢١ يناير

    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.

    ١ س ١ د

  8. ١٤ يناير

    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)

    ١ س ٣١ د
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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.

المعلومات

  • صناع العمل
    Pierce Freeman & Richard Diehl Martinez
  • سنوات النشاط
    ٢٠٢٥ - ٢٠٢٦
  • الحلقات
    ٤٨
  • التقييم
    ملائم
  • حقوق النشر
    © 2026 Pierce Freeman & Richard Diehl Martinez
  • موقع البرنامج على الويب
    Pretrained