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4,172개정렬
18:05ENOpenAI’s Coding-Competition Study: o1-ioi, o3 and the Limits of the ResultsMatthew Berman, Sam Altman · Forward FutureMatthew Berman interprets OpenAI’s 2025 paper on reinforcement learning and programming contests. The results are strong on the studied benchmarks, but do not establish AGI or remove humans from model development.
3:20:53ZH何俊贤解读 DeepSeek 论文:从基座模型到推理训练게스트 何俊贤 · 진행자 张小珺沿论文脉络理解 MoE、注意力缓存、训练效率和强化学习。
45:31ENJerry Chow on Quantum Computing, Encryption, AI and Error CorrectionMatthew Berman, Jerry Chow · Forward FutureIBM’s quantum systems director explains qubits, cryogenic hardware, software and the work needed to make quantum computers useful.
1:29:02ENShe Never Sees a Row of Your Data. The Answers Still Clear 95%.진행자 Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.
1:09ENUsing AI’s Benefits While Considering Its RisksA speaker distinguishes faster adoption from unchecked scaling.
1:07ENHow Interacting AI Agents Could Change the Wider SystemA speaker argues that simultaneous AI adoption could create unexpected interactions between agents.
8:04ENOpenAI’s February 2025 GPT-5 Roadmap and the Case for a Unified InterfaceMatthew Berman · Forward FutureMatthew Berman explains the proposed model-routing experience, GPT-4.5 and GPT-5 plans, and the product choices that prompted them.
1:20:53ENSolly Solomou on Building LADbible, Social Media and Expanding to the US게스트 Solly Solomou · 진행자 Harry StebbingsThe founder recounts buying a Facebook page, creating a media business and learning to lead through rapid change.
49:36EN86 Out of 100: Harvey's Playbook for Selling AI Into Law진행자 Sarah Guo, Elad GilWinston Weinberg on a Reddit blind test, expanding-and-collapsing product design, and why Harvey started with century-old firms instead of the mid-market.
44:26ENAn AI Application Is Still an ApplicationMongoDB's Sahir Azam tells Sequoia why vector search is a new primitive for unstructured data, not a replacement for transactions, and why retrieval quality is the last mile that gets AI into conservative enterprises.
15:33ENLatent Reasoning and Recurrent Depth: Scaling Compute Before the Next TokenMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines a 3.5-billion-parameter research model that repeats internal computations, and asks how it relates to language, planning and chain of thought.
0:59ENWhat Is Vibe Coding? Matthew Berman Explains His WorkflowMatthew Berman · Forward FutureBerman describes using voice input and an AI coding editor to build software, test it, and feed errors back without reading the code.
1:08ENWhen Should AI Agents Cooperate?Two participants consider mutual benefit, conflicting incentives and the line between cooperation and collusion.
1:15:33ENFabien Pinckaers on Odoo’s Business Model, Culture and Competition게스트 Fabien Pinckaers · 진행자 Harry StebbingsThe Odoo founder discusses open core, pricing, ownership and his approach to building an integrated business software suite.
1:30:28ENA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative Society진행자 Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.
6:50ENDeepScaleR: A Small Reasoning Model Tested on Competition MathMatthew Berman · Forward FutureMatthew Berman reviews a 1.5B model’s reported benchmark results and runs a quantized version locally on one AIME problem.
2:07ENHow Eratosthenes Estimated Earth’s SizeA short geometric explanation using sunlight, angles and distance.
21:10ENSam Altman’s 2025 AI Coding Forecast and Three ObservationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines predictions about reasoning models, software agents and AI economics, distinguishing competitive-programming results from broader work.
55:38ENSridhar Ramaswamy on Snowflake, AI Competition and Leading Through Change게스트 Sridhar Ramaswamy · 진행자 Harry StebbingsThe Snowflake CEO discusses the overlap between models and applications, the importance of distribution, and how leaders can manage difficult transitions.
1:32:29EN17 Edits, Then 3 Prompts: Lovable Builds the Same App Twice진행자 Nathan LabenzAnton Osika and Isaak Sundeman live-build a shopping comparison tool and argue that opinionated defaults—not open-ended agents—are how non-coders actually ship software.
1:24:29ENStackBlitz Almost Shut Down. Then Bolt Hit $20 Million ARR in Eight Weeks.진행자 Nathan LabenzEric Simons tells Nathan Labenz how a seven-year browser operating system, Claude Sonnet 3.5, and a text box replaced the local toolchain.
22:32ENThe $5.5 Million Was Only the Last Mile진행자 Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.
46:53ENBrian Tolkin on Hiring Product Teams and Finding the Problem That Matters게스트 Brian Tolkin · 진행자 Harry StebbingsOpendoor’s head of product draws on Uber and Opendoor to discuss user choice, AI prototypes, decision-making and hiring.
1:03:08ZH朱啸虎:DeepSeek 如何改变我对 AI 的判断게스트 朱啸虎 · 진행자 张小珺2025 年初,投资人回顾对开放模型、应用创业和人工智能的看法。
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