Skip to content
HeyJared

Pretrained

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.

Podcast · By Pierce Freeman & Richard Diehl Martinez · English · Official site

Indexed episodes, last 90 days
11
Latest publication
Sep 17, 2026
Audience
Checking…
Earliest in this view
Jul 9, 2026

Latest episodes

  1. Episode · Sep 17, 2026

    The Past, Present, and Future of P(Doom) (opens the original)

    Episode notes

    Read excerpt

    Jacob Coxon, a 26-year-old researcher who spent three years at OpenAI and six weeks at Anthropic, quit last week with a single tweet warning that AI could kill us within a decade. A Wall Street Journal piece ran the same day. Interviews were booked for the next morning. Within hours the biggest accounts on X were amplifying it. Pierce and Rich break down what Coxon actually claimed, why the "coordinated op" theory took hold, and what Dario's pacing letter - and OpenAI's fast follow - are asking

  2. Episode · Sep 10, 2026

    GPT-6 Astra: The Safety Paradox (opens the original)

    Episode notes · Critical tone

    Read excerpt

    OpenAI shipped a 117-page model card, and almost every section starts with the same phrase: in response to the Hugging Face incident. GPT-6 Astra is the first model they've ever rated at their most critical deployment level, it beats Fable 5 at a fraction of the price, and it zero-shot solved Portal. Then the tension - the safest model they've ever shipped is also the least interpretable, because Astra reasons in looped transformers that never touch token space. We get into ExploitGym honeypots

  3. Episode · Sep 3, 2026

    Inside the NVIDIA–HuggingFace Deal (opens the original)

    Episode notes

    Read excerpt

    This week Richard and Pierce break down the biggest open-source AI deal to date: Nvidia's $12.9 billion acquisition of Hugging Face. We trace Hugging Face's unlikely path from a teen-focused chatbot app to the "GitHub for AI models," dig into why they turned down a $7B stake from Nvidia last year only to sell outright now, and what this means for open source, China, and platform neutrality. Then we geek out over Pollen Robotics' MicroDuck and Hugging Face's RL sandbox, before turning to Bill Gat

  4. Episode · Aug 27, 2026

    The First A.I. Designed Viruses Are Here (opens the original)

    Episode notes

    Read excerpt

    A model generated 285 candidate genomes, a lab synthesized them, and 16 of them turned out to work. Sophia Kivelson (Stanford, biomedical data science) breaks down the Arc Institute paper everyone read as "AI designs viruses" - what actually happened, why it can't touch a human cell, and why the only RL environment for this stuff is a wet lab with a two-month rollout. Then the part that made us nervous: some of these phages work fine while barely resembling the original, and nearly every biosecu

  5. Episode · Aug 20, 2026

    The Grok Glow Up (opens the original)

    Episode notes

    Read excerpt

    SpaceX bought Cursor for $60 billion on August 14, two days after Grok 4.6 shipped and a day before Grok Bot launched. We break down why the real prize isn't the product - it's years of accept/reject data from millions of engineers, the closest thing anyone has to an RL environment for white-collar work. Plus Colossus 2 renting GPUs to Google and Anthropic at a one-year payback. Then: Anthropic quietly baking watermarking into Claude's sampler worldwide, John Gruber wrote a teardown, and writers

Publishing over time

Last 90 days. Choose a month to open its work.

Recurring subjects

Named in the text we hold. One piece can cover several.

Audience

No verified audience measurement yet.

About this data

Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.

Identity or attribution wrong? Suggest a correction.

See coverage about Pretrained