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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 goneGast: Elon Musk · Moderation: 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 demoModeration: 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 ScoreGast: Pushmeet Kohli · Moderation: 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 NumberedModeration: 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 AGIGast: Ethan Mollick · Moderation: 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 CompaniesGast: Delian Asparouhov · Moderation: 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 hyperscalingModeration: 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 GrowthGast: Nilan Peiris · Moderation: 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 WorldwideGast: Kate Conger · Moderation: 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 ValueModeration: 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 CrunchGast: Jason Lemkin · Moderation: 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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