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15:16ENAI News in July 2024: Small Models, Robot Hands and a Self-Charging DroneMatthew Berman · Forward FutureMatthew Berman reviews model announcements, creative demonstrations, AI education and training-data concerns in a snapshot of one week in 2024.
3:16ENJP on Machine Learning and Trading at Jane StreetJP · Jane StreetA Hong Kong equities trader describes his changing workday, the growth of research infrastructure, and the distinctive challenges of machine learning in finance.
2:46ENMatt on Machine Learning and Trading at Jane StreetMatt · Jane StreetA Hong Kong equities trader describes the challenges of financial data, the firm’s ML roles and its collaborative culture.
29:12ENGoldman says AI will touch 5% of tasks. Two investors take the report apart진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil use a host-only No Priors episode to dismantle a June 2024 Goldman Sachs note, then map where they would buy, incubate, and hold.
0:37ENPedro Franceschi on Treating Liquidity as a Company MilestoneThe Brex co-founder reflects on tender offers and an IPO.
1:43:47ENThey want AI safety to quote failure odds the way civil engineers quote a bridge진행자 Nathan LabenzNora Ammann and Ben Goldhaber walk Nathan Labenz through Guaranteed Safe AI: world models, safety specs, verifiers, and why a chatbot’s good character is the wrong type for a dam.
53:24ENPedro Franceschi on Brex’s Product Focus, Leadership and IPO Readiness게스트 Pedro Franceschi · 진행자 Harry StebbingsThe Brex CEO discusses founder mental health, enterprise customers, financial infrastructure and building a more predictable business.
7:43ENHow to Run STORM for AI-Assisted ResearchMatthew Berman · Forward FutureMatthew Berman demonstrates Stanford’s research tool, from its 2024 local setup to a cited article about dogs. The interface runs locally, while his demonstration relies on external AI and search APIs.
0:58ENASUS Vivobook S 15: A Copilot+ PC with an NPUMatthew Berman · Forward FutureMatthew Berman introduces the laptop and its local AI features in a sponsored short.
1:07:05ENAlphaGo Combined Learning and Search. Language Models Only Did the First Half.Reflection AI's Misha Laskin tells Sequoia why prompted coding agents stall in the teens, and why the missing piece is still a ground-truth reward.
14:15ENOpenAI’s Reported Strawberry Project and a Five-Level AGI FrameworkMatthew Berman · Forward FutureMatthew Berman examines 2024 reporting on a reasoning project, long-horizon tasks and a proposed scale for AI capabilities.
1:07:40ENSaam Motamedi on AI Valuations, Series B Risk and Backing Founders게스트 Saam Motamedi · 진행자 Harry StebbingsThe Greylock partner explains why he sees exuberant AI pricing, questions a universal Series A revenue threshold, and favors founder and market judgment over simple checklists.
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%진행자 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 Upmarket게스트 Mark Roberge · 진행자 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 Labor진행자 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 2024진행자 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 Leadership게스트 Ara Mahdessian · 진행자 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 Change게스트 Jonathan Haidt · 진행자 Jason Calacanis, David FriedbergThe psychologist discusses proposed family norms, adolescent experience and political polarization.
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