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26:43ENTesting OpenAI o1 on Planning, Rules and Spatial ReasoningMatthew Berman · Forward FutureMatthew Berman reviews a 2024 pilot study comparing o1-preview, o1-mini and GPT-4 on six planning domains.
21:31ENThe State of AI in 2024: Research, Costs and RisksA historical review of selected report highlights and predictions.
54:45ENA Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on Generalization진행자 Nathan LabenzCTO Anastasis Germanidis tells The Cognitive Revolution why video is a fuller record of the world than text, why physics shows up without being programmed in, and how a small lab competes with unlimited compute.
1:15:08ENJeff Wang on Public and Private Investing, AI and Sequoia Global Equities게스트 Jeff Wang · 진행자 Harry StebbingsThe investor explains thematic research, portfolio construction and his 2024 views on AI infrastructure and technology platforms.
1:14:53ZH孟醒:自动驾驶投资的热潮、低谷与创业周期게스트 孟醒 · 진행자 张小珺从顺为投资、滴滴运营到重新回归风投,一位从业者回顾八年的行业变化。
38:28ENHalf of Production AI Is RAG. Fine-Tuning Almost Disappeared.진행자 Sarah Guo, Elad GilBraintrust CEO Ankur Goyal tells No Priors what Notion, Zapier, and Vercel actually ship — and which hyped techniques they quietly dropped.
59:30ENGPT-4 Gets Half Your Data Questions Wrong. Snowflake's Answer Is Systems DesignUsing an off-the-shelf model on enterprise data yields about 45% reliability—one wrong answer out of every two.
1:04:57ENEli Lilly CEO Dave Ricks on GLP-1 Medicines, Pricing and Drug Research게스트 Dave Ricks · 진행자 David FriedbergA 2024 interview on metabolic drugs, access, long-term treatment and the business of pharmaceutical research.
1:19:00ENEiso Kant on Poolside, Compute and AI for Software Development게스트 Eiso Kant · 진행자 Harry StebbingsPoolside’s CTO explains code-execution feedback, the cost of model development and his company’s ambitions in the AI race.
53:51ENLiora Friedberg on Solving Puzzles in ProductionYaron Minsky, Liora Friedberg · Jane StreetProduction engineering combines live incident response with software, process improvements and a culture that helps people learn from mistakes. Liora Friedberg and Ron Minsky explore the work at Jane Street.
2:29:04ENKeep the Programmer in the Driver's Seat: Cursor's Founders on Tab, Agents, and Zero-Entropy Editing게스트 Cursor Team · 진행자 Lex FridmanMichael Truell, Aman Sanger, Sualeh Asif, and Arvid Lunnemark tell Lex Fridman why they forked VS Code, how Tab and Apply actually work, and why most programming still needs a human iterating in real time.
46:23ENHow Holograms Store a Three-Dimensional Scene on FilmA guided explanation of interference, diffraction and the wave algebra behind holographic images.
0:55ENA Hologram That Looks Like a Three-Dimensional SceneA short 3Blue1Brown demonstration shows how a flat recording can produce changing views of a scene.
1:34:16ZH陆复斌:跨境并购的交易、经营与风险게스트 陆复斌 · 진행자 张小珺霞飞资本创始人回顾亚马逊广告业务,以及 Grindr、Investing.com 和 Coins 的收购。
1:59:47ENBCI Would Take 30 Years. This Studio Pivoted to Alignment Instead진행자 Nathan LabenzJudd Rosenblatt and Mike Vaiana of AE Studio describe two biologically inspired results that do not need interpretability breakthroughs to work.
15:00ENMatthew Berman Tests the First ChatGPT Canvas BetaMatthew Berman · Forward FutureA 2024 walkthrough explores side-by-side code and writing edits, unexpected shortcut behavior and platform risk for AI developers.
53:03ENMaria Angelidou-Smith on Product Reviews, Hiring and Building Better Teams게스트 Maria Angelidou-Smith · 진행자 Harry StebbingsThe Personio product and technology leader shares lessons from Meta on product careers, decision-making, resource allocation and leading distributed teams.
1:06:48ENo1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning Point진행자 Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.
26:08ENFewer Than 3% of Deals Get Investigated. Selling to the Monopolist Is What Triggers the FTC.진행자 Sarah Guo, Elad GilChair Lina Khan tells No Priors how merger review actually works in AI markets, why open-weight models matter, and why the agency banned most non-competes.
1:16:09ENBret Taylor on AI Applications, Model Costs and Building Sierra게스트 Bret Taylor · 진행자 Harry StebbingsThe Sierra co-founder discusses why most companies may buy AI solutions, how agents need guardrails and what founders can learn from technology leaders.
1:09:09EN30 Percent on SWE-bench: Cosine Taught Genie How Engineers Actually Think진행자 Nathan LabenzAlistair Pullen tells Latent Space how Cosine reconstructed human problem-solving, fine-tuned on billions of tokens, and took the top score on software engineering’s hardest public test.
45:22ENAlphaGo Thought 30 Seconds a Move. o1 Made “Think Longer” GeneralOpenAI researchers Noam Brown, Ilge Akkaya, and Hunter Lightman on teaching language models to reason, the generator-verifier gap, and a second scaling curve at inference time.
18:54ENAI News in October 2024: DevDay, Leadership Changes and New ModelsMatthew Berman · Forward FutureMatthew Berman reviews OpenAI developer announcements, a vetoed California bill, Pika 1.5 and Liquid AI models.
9:25ENRichard Eisenberg: Using OCaml’s Coercion OperatorRichard Eisenberg · Jane StreetA practical tour of subtyping, polymorphic variants and private type abbreviations, with no runtime conversion cost.
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