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9:58ENAbstract AI: A Proposed Routing Layer for Language ModelsMatthew Berman · Forward FutureMatthew Berman outlines a startup idea for choosing models and workflows by cost, speed and quality.
8:37:34ENThe first Neuralink patient beat a world record with most of his electrodes goneゲスト Elon Musk · ホスト Lex FridmanLex Fridman talks with Elon Musk, the Neuralink team, and Noland Arbaugh about a wireless brain implant, the software that rescued it, and why bandwidth is Musk’s bet on living with AI.
1:03:22ENA 40-person team at $35 million ARR: HeyGen made AI avatars a business, not a demoホスト Nathan LabenzJoshua Xu and Benchmark’s Victor Lazarte tell Nathan Labenz how a camera-replacement product grew past 40,000 business customers — and why half the faces on this episode are fake.
21:59ENHow DeepMind’s Math Systems Reached an Olympiad Silver-Level Scoreゲスト Pushmeet Kohli · ホスト Kevin Roose, Casey NewtonPushmeet Kohli explains formal proofs, training, timing and the limits of a 2024 result.
3:18ENRory on Production Engineering and Incident Support at Jane StreetRory · Jane StreetA production engineer describes monitoring order engines, responding to outages and building a supportive team.
11:34ENTesting Mistral Large 2: Coding, Reasoning and Safety in 2024Matthew Berman · Forward FutureMatthew Berman tests Mistral’s 123-billion-parameter model with small coding tasks, logic puzzles and ethical hypotheticals. The results are promising but narrowly scoped.
46:09ENOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are Numberedホスト Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.
8:34ENThe Promise and Tradeoffs of Running AI on Phones and Other DevicesMatthew Berman · Forward FutureIn a Qualcomm-partnered video, Matthew Berman explores local AI, model routing and demonstrations across phones, PCs, cars and drones.
1:09:06ENEthan Mollick on AI Adoption, Education and the Uncertain Path to AGIゲスト Ethan Mollick · ホスト Harry StebbingsThe Wharton professor argues that model progress is only part of the story: organizations, product design and human choices determine how AI changes work and education.
42:08ENMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.
1:18:56ENDelian Asparouhov on Founders Fund, Conviction and Building Companiesゲスト Delian Asparouhov · ホスト Harry StebbingsThe investor and Varda co-founder discusses venture partnerships, founder leadership, aerospace and the personal beliefs shaping his work.
13:40ENTesting Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.
0:48ENInstrumental Convergence and the Concern About AI ShutdownWhy some researchers worry that certain means may help an AI pursue many different goals.
1:32:45ENHe doubled a company with AI — then asked the labs to pause hyperscalingホスト Nathan LabenzOn the Nick Halaris Show, Cognitive Revolution host Nathan Labenz argues for adopting today's models fast and slowing the race to systems more powerful than we are.
5:50ENA Mixture-of-Agents Demo Using Groq and StreamlitMatthew Berman · Forward FutureMatthew Berman walks through a 2024 Groq-powered multi-agent project, from setup to inspecting its layered responses.
52:53ENNilan Peiris on Wise: Product Value, Word of Mouth and Disciplined Growthゲスト Nilan Peiris · ホスト Harry StebbingsWise’s chief product officer explains how clear savings, useful content and careful acquisition spending supported growth, and where experiments fell short.
20:40ENSearchGPT, Llama 3.1 and AlphaProof: A July 2024 AI News RoundupMatthew Berman · Forward FutureMatthew Berman reviews new models, search, audio tools, OpenAI policy questions and DeepMind’s mathematical reasoning result.
24:59ENHow a CrowdStrike Update Disrupted Computers Worldwideゲスト Kate Conger · ホスト Kevin Roose, Casey NewtonA 2024 interview explains the outage, recovery challenges and infrastructure dependencies.
44:08ENMark Zuckerberg on Llama 3.1, Open Models and Meta’s AI StrategyMatthew Berman, Mark Zuckerberg · Forward FutureMatthew Berman reacts to Zuckerberg’s 2024 interview on open-weight AI, safety, platform control and a future of personalized agents.
41:25ENEven If the Models Froze Today, We've Extracted One-Millionth of the Valueホスト Sarah Guo, Elad GilAirtable CEO Howie Liu on why a 2012 vision deck still maps the company, why enterprise AI is stuck on imagination, and why codegen will not kill no-code before AGI.
10:02ENTesting Llama 3.1 405B on Coding, Arithmetic and ReasoningMatthew Berman · Forward FutureMatthew Berman tries Meta's 2024 open-weight model on an informal set of prompts and demonstrates a sponsored dataset workflow.
50:15ENJason Lemkin on Wiz, CrowdStrike and the SaaS Liquidity Crunchゲスト Jason Lemkin · ホスト Harry StebbingsThe SaaStr founder discusses a reported acquisition approach, a major outage and the economics of legal-tech and venture exits.
51:36ENKlarna's AI Took 700 Customer-Service Jobs. The Secret Was the ManualCEO Sebastian Siemiatkowski tells Sequoia how an OpenAI guinea-pig bet, a dispute-queue Slack message, and documentation written for an amnesiac employee produced $40 million of profit.
0:58ENMeta Releases Llama 3.1 and Its 405B ModelMatthew Berman · Forward FutureMatthew Berman argues that Meta's open-weight Llama 3.1 puts pressure on proprietary AI providers, while its license and deployment costs add important qualifications.
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