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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.
59:38ENRichard Eisenberg on Dependent Types, OCaml, and AI-Assisted ProgrammingYaron Minsky, Richard Eisenberg · Jane StreetHow type systems can express correctness and performance, and why precise, readable specifications still matter when AI writes code.
2:18:49ENAfter the Big Bang, the universe was a thin soup게스트 Anna Frebel · 진행자 Lex FridmanMIT astrophysicist Anna Frebel tells Lex Fridman how leftover stars in the Milky Way still carry the chemistry of the first billion years, and how our galaxy grew by eating its neighbors.
8:54ENStableStudio in 2023: A Local Interface for Hosted Image GenerationMatthew Berman · Matthew BermanMatthew Berman walks through Stability AI’s open-source interface, its image tools and the setup that still required a hosted API.
57:23ENSam Altman, Gary Marcus and IBM Testify on AI Risks: Matthew Berman ReactsMatthew Berman, Sam Altman, Christina Montgomery, Gary Marcus, Richard Blumenthal, Josh Hawley, Amy Klobuchar, Mazie Hirono, John Kennedy, Chris Coons, Peter Welch · Forward FutureBerman reviews selected 2023 Senate hearing excerpts on safety testing, misinformation, jobs, licensing and the proposed AI pause.
1:11:11ENEmad Mostaque on Open AI Models, National Data and the Race to Deploy게스트 Emad Mostaque · 진행자 Harry StebbingsThe Stability AI co-founder describes his 2023 vision for open models, healthcare applications and AI businesses, alongside concerns about a speculative boom.
11:15ENWhat Sam Altman’s 2023 Senate Testimony Said About AI RisksSam Altman, Gary Marcus · OpenAIA contemporary analysis of the hearing’s debates over jobs, military use, regulation and future model capabilities.
1:28:43ENClinical Guidelines Are 11% Evidence. Curai’s Founder Still Wants GPT-4 in the Exam Room진행자 Nathan LabenzNeal Khosla of Curai Health argues that large language models already match median U.S. physicians on today’s tests — and that the real work is scaffolding, supervision, and a doctor’s signature.
11:07ENTesting MosaicML MPT-7B Chat and StoryWriter in 2023Matthew Berman · Forward FutureMatthew Berman examines MPT-7B model variants, their licenses and a mixed set of local tests.
5:11ENInstalling PrivateGPT to Ask Questions About Local Documents: A 2023 WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates the original PrivateGPT setup, from cloning the repository and downloading models to ingesting files and querying them locally.
1:06:02ENYann LeCun on Open AI Models, Safety and the Future of Research게스트 Yann Lecun · 진행자 Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.
1:51:12ENHarvey Silverglate Would Fire 95 Percent of Harvard's Administrators게스트 Harvey Silverglate · 진행자 Lex FridmanThe FIRE co-founder, running as a write-in for Harvard's Board of Overseers, tells Lex Fridman why hate speech is more useful than love speech and why discomfort is the price of a free campus.
58:47ENClem Delangue on Open AI, Model Choices and Building Hugging Face게스트 Clem Delangue · 진행자 Harry StebbingsThe Hugging Face CEO discusses the company’s pivot, open-model economics, legal uncertainty and his approach to fundraising.
5:24ENGoogle I/O 2023: Bard, PaLM 2 and AI Across Google's ProductsMatthew Berman · Forward FutureMatthew Berman reviews Google's 2023 AI announcements and weighs its focus on improving established products.
58:24ENAmong 100 Random Doctors, Zak Kohane Would Be Surprised If One Beat GPT-4진행자 Nathan LabenzHarvard's biomedical informatics chair on a rare newborn case, why drug-style trials will not certify a general medical model, and why the AI should still work for the patient.
51:55ENNine orders of magnitude later, he shipped a companion, not an oracle진행자 Sarah Guo, Elad GilDeepMind co-founder Mustafa Suleyman tells No Priors why Inflection’s first product is a personal AI that sits in your corner, and why the missing piece is a router, not a bigger model.
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