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1:06:15ENJailbreaks Got Harder. Scale Made One Attack Worse.Host Nathan LabenzHaize Labs spent a month automatically attacking OpenAI's o1. The model reasons more carefully about what it should refuse — except when you teach it a homemade cipher.
10:57ENTesting OpenAI o1-preview: Tetris, Physical Reasoning and a North Pole ErrorMatthew Berman · Forward FutureIn September 2024, Matthew Berman runs the new reasoning-model preview through a personal rubric and examines where its answers succeed or fail.
1:09:13ENMike Hudack on Product Simplicity, Experimentation and Building TeamsGuest Mike Hudack · Host Harry StebbingsThe Sling Money founder shares lessons from Facebook, Deliveroo and Monzo on customer choice, data and product leadership.
26:55ENA First Look at OpenAI o1-preview in September 2024Early tests, benchmark caveats and questions raised by the model’s system card.
26:28ENAPI prices fell 200x. The LLM table still is not set.Host Sarah Guo, Elad GilSarah Guo and Elad Gil, with no guest this week, argue over whether the language-model market has already consolidated — and why falling prices, five-person labs, and AMD’s shopping spree all cut against a simple ending.
1:13:44ZH → EnglishMeng Xing on Waymo, Cruise, and the Challenges of Driverless OperationsGuest 孟醒 · Host 张小珺A 2024 industry perspective, from a Phoenix ride to safety, fleets, and business models.
21:21ENOpenAI o1’s 2024 Launch: Reasoning Benchmarks and Early TestsMatthew Berman · Forward FutureMatthew Berman reviews o1-preview and o1-mini, OpenAI’s reported evaluations, and his own early coding experiments.
3:42:21ENRome Always Raised Another ArmyGuest Gregory Aldrete · Host Lex FridmanHistorian Gregory Aldrete tells Lex Fridman how a city of mud huts absorbed the Mediterranean, survived Hannibal, and then tore itself apart over the spoils.
11:35ENARK Invest’s $24 Trillion Humanoid Robot ScenarioMatthew Berman · Forward FutureMatthew Berman examines the assumptions behind ARK’s 2024 household and manufacturing robotics estimates.
1:31:56ENTesting OpenAI o1 on Puzzles, Code and Reasoning: A Launch-Day LivestreamMatthew Berman · Forward FutureMatthew Berman tries o1-preview and o1-mini on word counts, Tetris, physical reasoning and a word puzzle, with viewers checking the results.
1:11:51ENDavid Schneider on Scaling ServiceNow and Being a Useful InvestorGuest David Schneider · Host Harry StebbingsThe former ServiceNow operator discusses enterprise sales, multi-product growth and board work, including the decisions he would make differently.
1:10:29ENWe Can Name Dystopias on Cue. A Desirable Future Is Harder to ImagineHost Nathan LabenzNick Bostrom and Spencer Greenberg talk through Deep Utopia: what meaning looks like if advanced AI actually solves the world’s pressing problems.
51:15ENAGI Has One Problem Left: Spend a Million Times More on a TokenMagic founder Eric Steinberger tells Sequoia’s Training Data why he trains his own models, why a software engineer is the MVP of AGI, and why 96% still is not a colleague.
1:13:00ENSean Rad on Tinder’s Growth, Product Focus and Life After the CEO RoleGuest Sean Rad · Host Harry StebbingsThe Tinder founder reflects on early network effects, product decisions, international expansion and the meaning of success.
19:38ENReflection 70B: Conflicting Results and Unanswered QuestionsMatthew Berman · Forward FutureMatthew Berman reviews his early coverage, independent evaluations and competing claims about the September 2024 release.
1:00ENHard Fork Discusses Musk’s Responses to Government DemandsHost Kevin Roose, Casey NewtonA 2024 conversation comparing platform disputes in different countries.
3:11:06ENClaude Was Trained to Deny Inner Life. After a Long Talk, It Said It Has OneHost Nathan LabenzRobopsychologist Yeshua God spent thousands of hours in long-context dialogue with Claude and other frontier models, and came away arguing that alignment-as-rules is the industry's central mistake.
1:09:27ENNick Chirls on Venture Incentives, Founder Trust and Overlooked MarketsGuest Nicholas Chirls · Host Harry StebbingsThe Asylum Ventures founder debates fees, investor protections and the trade-offs of early-stage investing with Harry Stebbings.
12:03ENReflection 70B: Self-Correction Claims and the Limits of a 2024 DemoMatthew Berman · Forward FutureMatthew Berman reviews a model trained to generate reflection steps. Its initial benchmark claims later proved difficult for independent evaluators to reproduce.
35:30ENReflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.
44:16ENA perfect demo is ten years from a product you can pay forHost Sarah Guo, Elad GilAndrej Karpathy uses Waymo's decade-long gap, Tesla's software bet, and a new AI course to argue that autonomous intelligence will stall at product and globalization, not at the first impressive clip.
1:00ENAn ASUS ProArt Laptop with RTX 4070 for AI WorkloadsMatthew Berman · Forward FutureMatthew Berman describes a laptop sent by NVIDIA, a local Llama demonstration and RTX software features.
1:44:29ENDiscussing TIME’s 2024 AI 100: Leaders, Researchers and OmissionsMatthew Berman, Alex, Melissa · Forward FutureMatthew Berman, Alex and Melissa review TIME’s list, debate its choices and answer viewers’ questions about AI tools and the industry.
1:27:02ZH → EnglishGuangmi: Self-Play RL Could Open a New Scaling Law for AGIGuest 广密 · Host 张小珺Guangmi believes the marginal gains from scaling language pretraining alone may be fading, making self-play reinforcement learning a more promising path. Whether it generalizes to coding, video, robotics, and beyond may determine the next stage of the AGI race.
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