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PODCAST

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.

technology tech news

All Episodes

67:53

California legislators come for LLMs

Pretrained ·

2025/10/09

Breaking down California's recently passed SB 53 to legislate frontier model development, ISO standards in startups, and why this one passed where the older SB 1047 failed.

en

62:24

Move over TikTok - a new feed's in town

Pretrained ·

2025/10/07

Building a modern AI app and architecting Sora II, first impressions of Sonnet 4.5, and the frontier labs go after n8n and Zapier.Further reading:https://openai.com/index/sora-2/https://openai.com/index/sora-is-here/https://www.lesswrong.com/posts/4yn8B8p2YiouxLABy/claude-sonnet-4-5-system-card-and-alignmenthttps://www-cdn.anthropic.com/872c653b2d0501d6ab44cf87f43e1dc4853e4d37.pdfhttps://www.testingcatalog.com/openai-prepares-to-release-agent-builder-during-devday-on-october-6/

en

51:49

Gen z struggles to find coding jobs fr no cap

Pretrained ·

2025/10/02

Richard and Pierce respond to the Times podcast about the scarcity of junior engineering jobs. They talk through the academic difference between Computer Science vs. Engineering, AI as a new engineering primitive, talent arbitrage through intern programs, and more.https://www.nytimes.com/2025/09/29/podcasts/the-daily/big-tech-told-kids-to-code-the-jobs-didnt-follow.html

en

66:27

The power of ten million deadlifters

Pretrained ·

2025/09/30

OpenAI & NVIDIA’s 10GW partnership, GDPVal as a new human curated benchmark dataset, Gemini Robotics-ER 1.5, and Apple's distillation of AlphaFold.Additional reading:https://nvidianews.nvidia.com/news/openai-and-nvidia-announce-strategic-partnership-to-deploy-10gw-of-nvidia-systemshttps://openai.com/index/gdpval/https://deepmind.google/discover/blog/gemini-robotics-15-brings-ai-agents-into-the-physical-world/https://arxiv.org/pdf/2509.18480

en

51:18

How countries are actually using AI

Pretrained ·

2025/09/25

Pierce and Richard recap Anthropic's Economic Index. Differences between country use of AI, autonomy versus augmentation, and the real business use cases that Anthropic is seeing so far.Further reading:https://www.anthropic.com/research/anthropic-economic-index-september-2025-report

en

60:54

Your new raybans just got smarter

Pretrained ·

2025/09/23

The official Claude Code post-mortum, Deepseek R1 published in Nature, Meta unveils their smart glasses with built‑in display, the new apple pro, copyright law in the age of AI, and much more.Further

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53:50

The claude code conspiracy

Pretrained ·

2025/09/19

The Anthropic economic index report, a bug in claude's inference pipeline, OpenAI releases a flavor of GPT-5 just for coding, Microsoft's new inhouse LLM, and what really happens when you turn temperature to 0

en

70:57

Will McTighe on selling through social media

Pretrained ·

2025/09/16

Pierce, Richard, and Will join for the first in-person interview on Pretrained. For our video episode, check out:https://youtu.be/CInTOIgz-pAThey cover:- Will's history growing up in the UK- Getting an MBA and deciding what company to start- Trust building versus activating content- Building a personal brand for engineers and researchers- Entrepreneurship in Europe vs the US- & Much more

en

33:55

Eating some mooncake

Pretrained ·

2025/09/12

Kimi's serving architecture, mooncake to offload GPU memory to other chipsets, the ubiquity of vllm, and the growing standard LLM stack

en

43:08

Training a 1 trillion parameter model

Pretrained ·

2025/09/04

Kimi K2 and Moonshot AI's history, avoiding loss spikes during training, the muon optimizer, and data parallelism

en

50:38

Nano banana is our favorite fruit

Pretrained ·

2025/09/02

Gemini’s new image model, OpenAI is investing more in protein generation, Cohere’s SOTA generation model, and Anthropic working with DOE on nuclear securityFurther reading:https://blog.google/products/gemini/updated-image-editing-model/https://openai.com/index/accelerating-life-sciences-research-with-retro-biosciences/https://cohere.com/blog/command-a-translatehttps://red.anthropic.com/2025/nuclear-safeguards/https://www.picolm.io/demo-paper

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57:10

A breakdown of Genie 3's world model

Pretrained ·

2025/08/28

Rich and Pierce speculate wildly (well, kind of wildly) on the internal architecture of Genie 3. They go into the history of variational auto encoders and diffusion models, 3D modeling with AI as an alternative to video game designers, a recap of the official Genie 1 paper, and possible applications of world models to the real world.Further reading:https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/https://arxiv.org/pdf/2402.15391

en

39:52

Using chat in history class

Pretrained ·

2025/08/21

Richard visits his high school, LLMs in education, is AI a calculator or an oracle, and more

en

49:51

AI is your new favorite songwriter

Pretrained ·

2025/08/19

Elevenlabs launches a music generator, Claude Long-Term Memory, Reddit blocks the Internet Archive, NVIDIA’s Massively Multilingual Speech, and Self Questioning Language ModelsFurther

en

47:43

Tokenizers now and in the future

Pretrained ·

2025/08/14

History of tokenization going back to 70s language modeling, modern tokenization approaches with BPE, and the future of token-free bitestreams

en

58:38

All the GPTs we were promised

Pretrained ·

2025/08/12

OpenAI releases their open weight GPT model, the release of GPT-5 and our growing attachment to different architectures, obsequiousness of language models, Genie 3 and open world models for reinforcement learning, and Pytorch as a standard in ML researchFurther reading:https://openai.com/index/introducing-gpt-oss/https://openai.com/gpt-5/https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/https://pytorch.org/blog/pytorch-2-8/

en

46:37

Running out of good data

Pretrained ·

2025/08/07

Exhausting the data on the Internet by 2026, the value or non-value of transcripts, training on other languages, and subsidizing additional dataset generation

en

64:11

Models building other models

Pretrained ·

2025/08/05

ChatGPT's new study mode for students, Facebook's play to be the first with augmented reality LLMs, Cerebras is trying to compete with Claude Code, and are we really in an "alphago moment" for model architecture discovery?Further reading:https://openai.com/index/chatgpt-study-mode/https://s21.q4cdn.com/399680738/files/doc_financials/2025/q2/META-Q2-2025-Earnings-Call-Transcript.pdfhttps://www.cerebras.ai/blog/introducing-cerebras-codehttps://arxiv.org/abs/2507.18074

en

32:45

Evaluation metrics for reasoning models

Pretrained ·

2025/07/31

Evaluating models on benchmarks, passing a model vibe check, formal reasoning to synthesize datasets, and what type of datasets researchers prefer

en

57:37

The tea on vibe coding data leaks

Pretrained ·

2025/07/29

OpenAI introduces their new Agent with full computer use capabilities, Anthropic is now evaluating models with other models, what the data leak at Tea can and can't tell us about vibe coding security, and more reasoning time isn't always betterFurther reading:https://openai.com/index/introducing-chatgpt-agent/https://alignment.anthropic.com/2025/automated-auditing/https://www.nytimes.com/2025/07/26/us/tea-safety-dating-app-hack.htmlhttps://safety-research.github.io/inverse-scaling-ttc/

en

44 results

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