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15:41ENHow Claude Artifacts Worked: A Look at a Reported System PromptMatthew Berman · Forward FutureMatthew Berman examines a purported Claude 3.5 Sonnet prompt and tests artifacts for code, graphics, websites and diagrams.
8:52ENYi-Large Tested: Coding, Arithmetic and Logic PuzzlesMatthew Berman · Forward FutureMatthew Berman puts 01.AI's hosted model through a small set of coding and reasoning prompts, with mixed results and some questionable grading.
1:00ENOpen Science and Frontier AI: A 2024 ViewA short interview excerpt and its context.
1:56:03ENHumans Near a Perfect Score. The Best AI Still Gets 39%Anime : Nathan LabenzZapier co-founder Mike Knoop and François Chollet put $1 million on ARC-AGI, a 2019 test of sample-efficient intelligence that language models still cannot crack under a one-cent-per-puzzle budget.
1:03:36ENErin Murphy on Designing Tools for Expert UsersYaron Minsky, Erin Murphy · Jane StreetFrom NASA scientists to Jane Street engineers, a UX designer explains how observation, drawing and collaboration reveal what complex tools need to do.
45:11ENMark Roberge on Sales Hiring, Unit Economics and Moving UpmarketInvité : Mark Roberge · Anime : Harry StebbingsThe former HubSpot sales leader explains how founders can build a sales motion, align incentives and decide when enterprise customers are worth pursuing.
11:30ENTesting Google Gemma 2 27B: Coding, Reasoning and FormattingMatthew Berman · Forward FutureMatthew Berman runs an informal 2024 test of Google’s open-weight model on cloud hardware supplied by sponsor Vultr.
1:16:11ENScooping Food Into Boxes Is 70 Percent of Plant LaborAnime : Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.
0:58ENNVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.
25:56ENA Prompt Cannot Hold a Good Design: Six AI Practitioners at Midyear 2024Anime : Sarah Guo, Elad GilSarah Guo and Elad Gil stitch together clips from Stripe, Figma, Figure, OpenAI's Sora team, Cognition, and Scale into a half-year snapshot of what people actually shipping AI were willing to claim.
54:43ENAra Mahdessian on ServiceTitan’s Customer Focus and LeadershipInvité : Ara Mahdessian · Anime : Harry StebbingsThe ServiceTitan CEO discusses early financing, moving upmarket, pricing and how he tries to inspire a demanding team.
1:13:57ENJonathan Haidt on Childhood, Social Media and Institutional ChangeInvité : Jonathan Haidt · Anime : Jason Calacanis, David FriedbergThe psychologist discusses proposed family norms, adolescent experience and political polarization.
0:50ENWhy Familiar Formats Can Improve PromptsA short explanation of prompt mining and the possible value of familiar question-and-answer layouts.
1:16:22ENHe Spent 20 Hours Crafting a Prompt. DSPy Beat Him AnywayAnime : Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.
1:00:28ENScaling Laws Aren't Done. Don't Lock Yourself Into Yesterday's Architecture.Microsoft CTO Kevin Scott on why the exponential is still compounding, why inference will dwarf training, and why a language model is the world's crappiest database.
18:57ENAI News in July 2024: Small Models, Voice Tools and OpenAI SecurityMatthew Berman, Andrej Karpathy · Forward FutureMatthew Berman reviews AI product announcements, model evaluation and security reporting, and shares his predictions about the future of computing.
1:12:12ENPat Grady on Sequoia’s Investment Process, Founders and Holding WinnersInvité : Pat Grady · Anime : Harry StebbingsThe Sequoia partner explains how he tests an investment thesis, judges founders and balances patience with the need to return capital.
8:53ENRouteLLM: Routing Queries Between Strong and Cheaper ModelsMatthew Berman · Forward FutureMatthew Berman explains a 2024 research framework that uses preference data to choose a model for each query.
1:12:41ENThe CEO Who Laid Himself Off Is Building a Business Operating SystemAnime : Nathan LabenzSiqi Chen of Runway tells Nathan Labenz why finance is a company-wide simulation, why chat boxes fail, and how a 100-person cap plus ambient intelligence is the real product strategy.
0:38ENTurning Simple Landscape Sketches into Images with NVIDIA CanvasMatthew Berman · Forward FutureMatthew Berman demonstrates NVIDIA Canvas, which uses GauGAN technology to turn material-labeled brushstrokes into landscape images.
1:42:16EN267 Papers in Seven Months: Albert Gu Explains the State Space Model RevolutionAnime : Nathan LabenzThe Mamba co-author walks through five years of recurrent-model work, why selective compression beats a growing KV cache, and what Mamba 2 trades away to train faster.
1:05:52ENAvi Eyal on Venture Returns, Selling Discipline and Supporting FoundersInvité : Avi Eyal · Anime : Harry StebbingsThe Entrée Capital co-founder reflects on monday.com, portfolio construction, liquidity and the difficult decisions behind early-stage investing.
14:30ENRetrieval-Augmented Generation: External Knowledge, Embeddings and SearchMatthew Berman · Forward FutureMatthew Berman introduces RAG using customer-service, company-document and automotive-manual examples, then explains vector retrieval and agents.
55:13ENThe Best AI Scores 39% on This Test. Zapier’s Co-Founder Put $1 Million on Beating ItFrançois Chollet designed ARC to measure skill-acquisition efficiency; five years later humans still crush it and frontier models do not.
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