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11:42ENGuanaco and QLoRA: A 2023 Fine-Tuning and Model TestMatthew Berman · Forward FutureMatthew Berman reviews the QLoRA paper, explains the reported memory savings and tries Guanaco 65B on an informal prompt set.
7:51ENRunning Guanaco 65B on a Cloud GPU with Runpod and Text Generation Web UIMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 workflow for renting a GPU, loading a quantized model and generating text. Model requirements, pricing and interfaces depend on the chosen version.
1:41:45ENThe Writers Aren't Luddites. They're Bargaining Over Who Holds the Models진행자 Nathan LabenzThree WGA members tell Nathan Labenz what ChatGPT can already do in a writers’ room — and which two studio nightmares the strike is trying to lock out.
1:07:30ENAdam Besvinick on Pre-Seed Investing and Raising a Small Fund게스트 Adam Besvinick · 진행자 Harry StebbingsThe Looking Glass Capital founder explains fund construction, LP relationships, thematic investing and a volatile fundraising market.
0:37ENTomer Cohen on How AI Changes Product Work게스트 Tomer CohenA LinkedIn product leader compares the AI shift with the move from desktop to mobile.
8:26ENVoyager: How a GPT-4 Agent Learns Minecraft SkillsMatthew Berman · Forward FutureMatthew Berman explains a research system that proposes Minecraft tasks, stores reusable code and uses feedback to improve its next attempt.
2:07:04ENThe Ribosome Already Solved Digital Manufacturing게스트 Neil Gershenfeld · 진행자 Lex FridmanNeil Gershenfeld tells Lex Fridman why Turing separated the head from the tape, how fab labs are the personal-computer moment for making things, and what it would take to grow a civilization from about twenty parts.
1:36:25ENTomer Cohen on LinkedIn Product Decisions and the AI Shift게스트 Tomer Cohen · 진행자 Harry StebbingsLinkedIn’s product chief discusses failed Stories, feed redesign, feedback practices and how AI could change the work of product teams.
0:59ENGenerative Agents as Characters in a Simulated WorldMatthew Berman · Forward FutureMatthew Berman introduces a Stanford and Google research architecture for language-model characters that interact in a sandbox.
1:20:49ENA Wafer-Scale Chip So AI Stops Waiting on Amdahl진행자 Nathan LabenzAndrew Feldman, CEO of Cerebras, tells Nathan Labenz why one 2.5-trillion-transistor die, sparse linear algebra, and a 16-machine supercomputer are a better shape than a GPU cluster.
7:37ENSmol Developer: Generating a Small Python Project From a PromptMatthew Berman · Forward FutureMatthew Berman walks through a 2023 project generator, from a simple Ruby example to a multi-file ChatGPT API program.
3:10:04ENTeachers keep getting fired for assigning Randall Kennedy's book게스트 Randall Kennedy · 진행자 Lex FridmanHarvard law professor Randall Kennedy tells Lex Fridman why he put English's most explosive slur on a book cover — and why blanking it, he argues, erases the history it carries.
1:18:41ENGuy Podjarny on Snyk, Product-Market Fit and Building Durable Advantage게스트 Guy Podjarny · 진행자 Harry StebbingsThe Snyk founder and angel investor explains how to reason about future markets, focus messaging and learn through iteration.
54:56ENKevin Scott Seized Microsoft's GPU Budget, Bet on OpenAI, and Still Didn't See ChatGPT Coming진행자 Sarah Guo, Elad GilFive months after ChatGPT launched, Microsoft's CTO walked No Priors through the all-in bet, the Copilot stack, and why he is still bullish on jobs.
5:49ENIan on Software Engineering at Jane StreetIan · Jane StreetA London desk developer explains code review, OCaml training, intern projects and the feedback that comes from sitting near users.
6:42ENEzio on Linux Engineering and Collaboration at Jane StreetEzio · Jane StreetA London engineer explains his team’s infrastructure work, the Pride community group and why new hires should ask questions.
4:51ENRachel on Trading Desk Operations at Jane StreetRachel · Jane StreetA London trading desk operations professional describes her daily work, collaboration, interview advice and experience of the firm's culture.
1:33:51ENGPT-4 still writes SQL that will not run. She put a guardrail on the model진행자 Nathan LabenzShreya Rajpal built Guardrails AI so developers can encode what “correct” means, validate the pieces, and send failures back to the model instead of hoping the prompt holds.
1:29:33ENNico Wittenborn on Consumer Subscriptions and Solo Investing게스트 Nico Wittenborn · 진행자 Harry StebbingsThe Adjacent founder discusses retention, acquisition, fund construction and how evolving trends shape early-stage bets.
1:25:35ENTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical School진행자 Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.
10:16ENDarkBERT: Adapting a Language Model to Dark-Web TextMatthew Berman · Forward FutureMatthew Berman reviews research on a RoBERTa-based model and its cybersecurity evaluations.
50:24ENRyan Wiggins on Growth Systems, WhatsApp and Hiring게스트 Ryan Wiggins · 진행자 Harry StebbingsMercury’s growth leader explains retention, experiments, small teams and the transition from product-market fit to repeatable growth.
1:38:22ENSix days after “slow down,” the plugins went live진행자 Nathan LabenzConjecture CEO Connor Leahy talks GPT-4, the magic of black-box models, and cognitive emulation as a bounded alternative to god-like AGI.
42:18ENTen Percent of Search Is Health — and the Doctor Is Googling Too진행자 Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.
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