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43:43ENDavid Marcus on PayPal, Libra and Building Open PaymentsInvitado: David Marcus · Presenta: Harry StebbingsThe Lightspark co-founder reflects on entrepreneurship, payment infrastructure and his 2023 views on regulation and AI.
35:36ENAGI as a side effect: Noam Shazeer on Transformers, Character.AI, and two-hour chatsPresenta: Sarah Guo, Elad GilIn April 2023, the Transformer co-author told No Priors how a 22-person startup turned open-ended chat into a consumer product — and treated AGI as a byproduct of making the model smarter.
2:48:12ENThe Asteroid We Are Building OurselvesInvitado: Max Tegmark · Presenta: Lex FridmanPhysicist Max Tegmark tells Lex Fridman why a six-month pause on models larger than GPT-4 is not a ban on AI, but a chance to stop a suicide race.
1:42:48ENThe Skype Co-Founder Who Wants a Six-Month Pause on Frontier AIPresenta: Nathan LabenzJaan Tallinn argues that each 10× jump in training compute carries a 1 to 50 percent chance of ending everything, and that the labs still will not say when they will stop.
11:16ENA 2023 Discussion of Incremental AI Releases and SafetyIlya Sutskever, Sebastien Bubeck · OpenAIAI Explained examines Greg Brockman’s proposal for gradual model improvements, the uncertainty of forecasts and the challenge of reliability.
13:22ENTobi Lütke on Progress, Contentment and WealthInvitado: Tobi Lütke · Presenta: Harry StebbingsA 2023 conversation contrasts concerns about the world with a founder’s optimistic perspective.
1:02:01ENJoost de Valk on Building Yoast, SEO Fundamentals and the AI Content ShiftInvitado: Joost de Valk · Presenta: Harry StebbingsThe Yoast founder explains how a free WordPress plugin became a business, what founders get wrong about search, and how AI may change content and software.
8:02ENMeta’s Segment Anything: Promptable Image Masks and the SA-1B DatasetMatthew Berman · Forward FutureIn April 2023, Matthew Berman reviews Meta’s Segment Anything project and demonstrates selecting image regions with clicks, boxes and automatic mask generation. The model segments pixels; it does not by itself name every object or guarantee accurate results on every image.
11:38ENHow Generative Agents Populate a Simulated TownMatthew Berman · Forward FutureMatthew Berman explores a Stanford and Google research prototype in which language-model agents remember, plan and interact in a small virtual town.
1:09:54ENA $100 Doctor Visit and a $1 AI: GPT-4 Was Already Unbundling WorkPresenta: Nathan LabenzBefore GPT-4 launched, Nathan Labenz spent two months making the model play a dozen paid professions, then argued with Erik Torenberg about what that does to jobs, regulation, and white-collar status.
3:46:39ENHe Hated School Math Until a Professor Opened the Book to QuarksInvitado: Edward Frenkel · Presenta: Lex FridmanEdward Frenkel talks with Lex Fridman about Soviet childhood, the Langlands program, Gödel, AI, and why every hard objective theory still ends with an observer.
12:59ENAuto-GPT, Memory and Model Orchestration: Early Agent ExperimentsA 2023 snapshot of iterative prompts, tool use, persistent context and AI safety questions.
1:10:16ENRob Lacher on Building a Venture Firm and Europe’s Entrepreneur NetworksInvitado: Rob Lacher · Presenta: Harry StebbingsThe Visionaries Club founder discusses hiring, fund concentration, follow-on reserves and the role of family businesses in European technology.
40:25ENA 6-Billion-Parameter Clone of ChatGPT’s Core TrickPresenta: Sarah Guo, Elad GilDatabricks CTO Matei Zaharia tells Sarah Guo and Elad Gil how Dolly learned instruction-following on fifty times less data than GPT-3 — and why he would rather look facts up than bake them into a trillion-parameter network.
6:24ENBloombergGPT: Mixing Financial and General Data for a Language ModelMatthew Berman · Forward FutureMatthew Berman examines the 2023 finance-focused research model, its training corpus, evaluation and decision not to release weights.
1:56:16ENThey Used Humans as Stand-In AIs. Now 250,000 People Run Elicit.Presenta: Nathan LabenzOught's founders tell Nathan Labenz why open-ended reasoning has to be decomposed, supervised, and grounded—not scaled until it merely looks persuasive.
0:29ENBill Ackman Proposes Taxing Some Borrowing Against AssetsInvitado: Bill Ackman · Presenta: Harry StebbingsA 2023 policy argument about stock and real-estate borrowing.
7:16ENSetting Up Alpaca Turbo for Local Language Models: A 2023 TutorialMatthew Berman · Forward FutureMatthew Berman demonstrates an early ChatGPT-style interface for local Alpaca models, from the Conda setup to a short test on a Mac.
1:33:36ENMike Salguero on Bootstrapping ButcherBox and Subscription EconomicsInvitado: Mike Salguero · Presenta: Harry StebbingsThe ButcherBox founder explains customer acquisition, per-box margins and the trade-offs behind building without venture capital.
1:33:49ENSafe Only Because It's Weak: A GPT-4 Red-Teamer and Two Founders Debate the PausePresenta: Nathan LabenzNathan Labenz, who spent six months trying to make GPT-4 misbehave, wants labs to stop training anything bigger; Chroma's Anton Troynikov and Lindy's Flo Crivello argue a six-month freeze buys little and may select for the least careful labs.
3:34:58ENAn 18-year-old bought a one-way ticket to the AmazonInvitado: Paul Rosolie · Presenta: Lex FridmanPaul Rosolie had no degree, no funding, and no expedition. Seventeen years later he is still there, protecting a library of life we have not finished reading.
7:53ENHuggingGPT: Using a Language Model to Coordinate AI ToolsMatthew Berman · Forward FutureMatthew Berman explains a research system that routes multimodal tasks to specialist models using a language model as controller.
5:08ENChatting with a PDF in Colab Using LangChain and a Vector IndexMatthew Berman · Forward FutureMatthew Berman demonstrates a 2023 PDF question-answering notebook; its retrieval workflow does not fine-tune model weights and its revenue example is incorrect.
1:23:23ENTobi Lütke on Learning, Creative Constraints and Leading ShopifyInvitado: Tobi Lütke · Presenta: Harry StebbingsThe Shopify CEO explains how he updates his mental models, why constraints can help teams create and how he weighs remote work against proximity.
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