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1:16:41ENMario Schlosser on Oscar Health, Public Markets and LeadershipInvitado: Mario Schlosser · Presenta: Harry StebbingsThe Oscar co-founder reflects on a sharp stock decline, seeking support and handing the CEO role to a successor.
1:19:24ENA Gibberish Prompt Unlocks What GPT-J Plans Three Tokens AheadPresenta: Nathan LabenzNortheastern’s Bau Lab shows that a 40,000-parameter soft prompt can read a model’s future words, and that about ten attention heads carry the task itself.
13:59ENSWE-agent Tutorial: Navigating Repositories and Attempting GitHub FixesMatthew Berman, Carlos · Forward FutureMatthew Berman sets up a research coding agent, hits an installation problem and a cost limit, then shows an author’s successful SymPy benchmark example.
24:22ENJonathan Ross on Groq's Inference Chips, AI Economics and Human AgencyMatthew Berman, Jonathan Ross · Forward FutureThe Groq founder explains the company's compiler-first approach and argues that inference speed could enable new applications, while discussing risks of handing decisions to AI.
38:01ENHalf of GDP Is Labor. Figure Wants Humanoids to Do the Work.Presenta: Sarah Guo, Elad GilBrett Adcock tells No Priors why a 21-month-old company raised $675 million to put general-purpose humanoid robots in factories first, then homes.
1:23:09ENThe Right Size of an AI Task Is Whatever You Can CheckPresenta: Nathan LabenzElicit founders Andreas Stuhlmüller and Jungwon Byun walk through how a twelve-person research assistant cut summary hallucinations from 1.5 to 0.5, ships about every week and a half, and treats task decomposition as the way to spend more compute without a black box.
12:26ENDevika Coding Assistant: A 2024 Installation and App-Building DemoMatthew Berman · Matthew BermanMatthew Berman sets up an early Devika release and tests a calculator and Game of Life with hosted and local models.
1:15:35ENTrae Stephens on Venture Conviction, Anduril and Building in DefenseInvitado: Trae Stephens · Presenta: Harry StebbingsThe Founders Fund partner and Anduril co-founder discusses investment decisions, government procurement and the limits of venture investors’ influence.
36:33ENCJ Desai on Enterprise AI and Finding the BuyerCJ DesaiServiceNow’s then-COO discusses product expansion, model costs and customer outcomes at a 2024 Sequoia event.
0:46ENThe Stories Behind Group Chat NamesPresenta: Kevin RooseA lighthearted Hard Fork exchange about unusual group-text names.
1:50:42ENThe List Never Became Routine: Tulsi Gabbard on War, Power, and the Six-Minute DecisionInvitado: Tulsi Gabbard · Presenta: Lex FridmanA combat veteran and former congresswoman walks Lex Fridman through Iraq’s casualty lists, the military-industrial revolving door, Ukraine, a bill that is not about TikTok, and what a president must do in six minutes.
1:00ENLLM Colosseum: Language Models Play Street Fighter IIIMatthew Berman · Forward FutureMatthew Berman watches a short match in which language-model agents choose fighting-game actions from observations of the game.
12:37ENThe Reported Stargate Supercomputer and AI’s Compute BottleneckMatthew Berman, Sam Altman, Elon Musk · Forward FutureIn April 2024, Matthew Berman examines a reported Microsoft–OpenAI data-center proposal and argues that chips and electricity could shape the AI industry.
9:02ENMatthew Berman Tries LLM Colosseum, a Street Fighter Model BenchmarkMatthew Berman · Forward FutureA 2024 tutorial shows language models choosing fighting-game moves, explains the game-state prompt and walks through local setup.
14:23ENTesting DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.
14:58ENOpenDevin’s Early Coding Agent: A 2024 Installation and DemoMatthew Berman · Forward FutureMatthew Berman installs an early open-source coding-agent project and tries a calculator and a simple web page, while encountering setup and browser issues.
1:20:44ENSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 DaysPresenta: Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.
1:05:46ENBilly Hult on Tradeweb, Leadership and Betting on PeopleInvitado: Billy Hult · Presenta: Harry StebbingsTradeweb’s CEO discusses the transition to leadership, how he weighs talent and feedback, and the personal cost of a demanding role.
23:47ENAndrew Ng’s Four Agentic Workflow Patterns, Explained by Matthew BermanMatthew Berman, Andrew Ng · Matthew BermanReflection, tools, planning and collaboration can turn a single model response into an iterative workflow, with reliability and cost tradeoffs.
2:13:15ENHe Sold Garbage Bags at 12. The Pitch Hasn't Changed.Invitado: Mark Cuban · Presenta: Lex FridmanMark Cuban tells Lex Fridman that selling is helping, a billion requires luck, DEI is not a mind virus, and drug prices stay high because three middlemen hide the math.
27:32ENFrom a side project to 700 integrations: Harrison Chase on what still blocks agentsPresenta: Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.
9:19ENTrying an Open-Source Answer Engine with Groq and OllamaMatthew Berman · Forward FutureMatthew Berman installs a Perplexity-inspired search app, demonstrates a hosted-model configuration and attempts an unfinished local-model integration.
1:06:17ENChris Dixon on Venture Strategy and the Future of BlockchainInvitado: Chris Dixon · Presenta: Harry StebbingsThe a16z crypto leader discusses investment discipline, founder partnerships and his case for community-built internet services.
1:43:54ENFifteen Examples Can Poison GPT-4: Today's AI Systems Are Exploitable by DefaultPresenta: Nathan LabenzFAR AI founder Adam Gleave walks through cheap jailbreaks in GPT-4's APIs and amateur-level wins against superhuman Go engines, and why robustness is not arriving on its own.
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