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1:40:44ENGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4ホスト Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.
59:59ENLauryn Isford on Product Growth, Onboarding and Hiringゲスト Lauryn Isford · ホスト Harry StebbingsNotion’s product growth leader explains how to help users find value, measure activation and build growth teams.
8:49ENLlama 2’s 2023 Release: Model Sizes, License and SafetyMatthew Berman · Forward FutureMatthew Berman reviews Meta’s Llama 2 paper, its commercial license, model variants and safety evaluations.
5:53ENPetals: Distributing Large Language Model Inference Across DevicesMatthew Berman · Forward FutureIn 2023, Matthew Berman explains Petals as a way to use large models through a network of participating computers rather than loading every layer on one device.
9:46ENOrca Mini V2 vs. OpenOrca: A 2023 Informal Model ComparisonMatthew Berman · Forward FutureMatthew Berman tests two Orca-inspired models on coding, writing and reasoning, with results shaped by prompt setup and subjective scoring.
2:44:47ENThe Next Machines Will Steal Intimacy, Not Just Attentionゲスト Yuval Noah Harari · ホスト Lex FridmanHistorian Yuval Noah Harari tells Lex Fridman how stories built civilization, why fascism looks beautiful in the mirror, and why AI is the first tool that takes power away from humans.
1:00:38ENDave Clark on Amazon, Flexport and Leading Through Growthゲスト Dave Clark · ホスト Harry StebbingsThe former Amazon executive discusses ambitious goals, hiring, logistics decisions and protecting time for family.
1:15:41ENSheel Mohnot on Venture Fund Size, Founders and Fintechゲスト Sheel Mohnot · ホスト Harry StebbingsThe Better Tomorrow Ventures co-founder discusses fund construction, liquidity, early-stage investing and a wedding in the metaverse.
9:55ENBuilding AI Characters With the a16z Companion AppMatthew Berman · Forward FutureMatthew Berman walks through a 2023 starter project for conversational characters, from service configuration and embeddings to editing a companion’s personality.
59:41ENHumans Are Single-Threaded. MULTI·ON Wants 100 Agents Running Anywayホスト Nathan LabenzStanford PhD dropout Div Garg put a personal agent in Chrome so it can reuse your logins, ask for help when it stalls, and stop before it hits Buy.
38:53ENKevin Egan on Building Enterprise Sales Teamsゲスト Kevin Egan · ホスト Harry StebbingsThe Atlassian sales leader discusses product-led growth, enterprise readiness, hiring, feedback and the discipline behind a healthy pipeline.
1:11:11ENOne of the Most Hated Men in the World Disagrees With the Premiseゲスト Benjamin Netanyahu · ホスト Lex FridmanIn a compressed hour with Lex Fridman, Benjamin Netanyahu recasts hate, judicial reform, AI, and Israeli–Palestinian peace as problems of timing, balance, and sequence.
4:48ENPoisonGPT: A Demonstration of Model Supply-Chain RiskMatthew Berman · Forward FutureMatthew Berman discusses Mithril Security’s 2023 demonstration of an edited GPT-J model and a misleading repository name. The experiment illustrates a supply-chain risk, not a breach of the original model provider.
8:04ENWizardLM 13B v1.1 Tested on Coding, Writing and LogicMatthew Berman · Forward FutureMatthew Berman tries an instruction-tuned model on a small set of prompts, with mixed results and several subjective scoring choices.
2:42:44ENThe Former Trader Who Writes 10,000 Words a Week Puts AI Doom at 60 Percentホスト Nathan LabenzZvi Mowshowitz tells Nathan Labenz why today's language models are a gift, why the default future past human level is extinction or a worthless universe, and who actually moves the AI debate.
1:04:31ENSimon Sinek on Trust, Listening and the Work of Being a Better Leaderゲスト Simon Sinek · ホスト Harry StebbingsThe author discusses identity, difficult conversations and how leaders can create space for honest feedback and productive dissent.
12:20ENTesting UltraLM 13B: A Small Model’s Strengths and Reasoning ErrorsMatthew Berman · Forward FutureA 2023 local test finds useful writing and simple coding alongside failures in games, arithmetic and logic.
10:44ENCan AI Help Humans Align More Powerful AI?Matthew Berman · Forward FutureMatthew Berman examines OpenAI’s 2023 Superalignment proposal, its plans for AI-assisted oversight, and the unanswered question of who evaluates the evaluators.
2:28:37ENThe Marshals Came for an Underground City. RFK Jr. Still Wants a President Who Can Say Noゲスト Robert F. Kennedy Jr · ホスト Lex FridmanOn Independence Day 2023, Lex Fridman sat with Robert F. Kennedy Jr. for two and a half hours on Cuba, Ukraine, the CIA, pharma, and why the shopping cart still has to go back.
1:33:56ENThe AI Scouting Report: 90 Minutes From GPT-4's Exam Scores to Whether Models Understandホスト Nathan LabenzNathan Labenz spends a solo episode walking through what general-purpose models can do, how they are trained, how capabilities unlock, and whether they understand anything at all.
9:01ENInstalling and Testing DragGAN Locally: Matthew Berman’s 2023 WalkthroughMatthew Berman · Forward FutureA historical walkthrough of point-based image editing, dependency workarounds and the limits of an early DragGAN release.
1:40:07ENThirty thousand voltage updates a second: inside Skydio’s autonomy stackホスト Nathan LabenzHayk Martiros walks Nathan Labenz through a two-pound drone that sees in every direction, runs more than ten neural nets on board, and will not be weaponized.
2:20ENSean on Hospitality and Office Life at Jane StreetSean · Jane StreetA member of Jane Street's London hospitality team describes fresh food, teamwork and the office events that bring colleagues together.
16:39ENPhi-1 and the Value of Textbook-Quality Training DataA 2023 analysis of a small coding model, synthetic data, repeated training and uncertain AI timelines.
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