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26:23ENOpenAI’s o3 Announcement: Benchmark Gains and the Question of AGIMatthew Berman, Sam Altman, Mark Chen, Greg Kamradt, Hongyu Ren · Forward FutureMatthew Berman reviews the December 2024 o3 and o3-mini announcement, including coding, math and ARC-AGI results. He calls the results evidence of AGI, a conclusion the benchmarks alone cannot establish.
12:43ENHow OCaml Represents Values in MemoryA practical tour of immediate integers, heap blocks, runtime tags and variant constructors, illustrated with OCaml's Obj module.
9:00ENBest-of-N Jailbreaking: What Repeated Prompt Variations Revealed in 2024Matthew Berman · Forward FutureMatthew Berman reviews research on how repeated input variations can expose safety failures in text, vision and audio models.
2:10ENFive Enterprise AI Predictions for 2025Matthew Berman · Forward FutureMatthew Berman summarizes an Informatica executive’s late-2024 outlook on agents, regulation, workforce skills, return on investment and security.
13:31ENGoogle Veo 2: Cinematic Controls, Realistic Scenes and Motion LimitsMatthew Berman · Forward FutureMatthew Berman reviews Google’s 2024 video-generation examples, compares selected outputs with Sora and points out where movement or prompt adherence breaks down.
31:18ENElias Torres sold a billion-dollar company and called it a failure. Agency is the redo.Presenta: Sarah Guo, Elad GilThe Drift founder wants $1 billion in revenue with 100 people, one email address, and software that works like a text to someone who actually shows up.
1:01:53ENHumans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.Presenta: Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.
1:07:32ENo1 Is a New Generation — and the Day AGI Arrives Will Feel BoringPresenta: Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.
1:06:43ENDaniel Dines on Why AI Agents Need Workflow AutomationInvitado: Daniel Dines · Presenta: Harry StebbingsThe UiPath founder explains why he expects rule-based automation, agents and human validation to coexist—and reflects on the demands of leading through an AI transition.
1:01:48ENReid Hoffman on Trade, AI, Energy and the Incoming Trump AdministrationInvitado: Reid Hoffman · Presenta: Harry StebbingsThe investor discusses political risks and opportunities, competition in AI, nuclear energy and the role of venture capital in a wide-ranging December 2024 interview.
55:50ENThere will not be one model. Fireworks is betting on hundreds of small expertsPresenta: Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.
52:11ZHKevin Xu:从奥巴马竞选到 2024 年大选,候选人如何与时代匹配Invitado: Kevin Xu · Presenta: 张小珺一名前竞选工作人员回顾地推、竞选组织与白宫新闻工作,并分享他对 2024 年选举及科技政治关系的观察。
1:13:42ENGuillaume Moubeche on Bootstrapping lemlist Through Sales and ContentInvitado: Guillaume Moubeche · Presenta: Harry StebbingsThe lempire founder describes the early sales work, product mistakes and content strategy behind a bootstrapped software business.
42:21ENThey Cooled 5,000 Watts per Square Centimeter in Space. Now Diamond Goes on AI ChipsPresenta: Sarah Guo, Elad GilAkash Systems founders Felix Ejeckam and Ty Mitchell tell Sarah Guo why heat is the real limiter on AI, and how lab-grown diamond bonded to semiconductors is their answer.
24:08ENWhat Apollo’s 2024 Scheming Tests Found in Language ModelsMatthew Berman · Forward FutureMatthew Berman reviews experiments on deceptive actions, concealment and sandbagging, with the study’s staged goals and sandbox limitations in view.
1:17:28ENTorsten Reil on Building Helsing and Europe’s Defense TechnologyInvitado: Torsten Reil · Presenta: Harry StebbingsThe Helsing co-founder discusses defense procurement, autonomous systems and European security, alongside the lessons he took from building NaturalMotion.
22:12ENOpenAI’s 2024 Canvas Update: Writing, Python Execution and Custom GPTsMatthew Berman, Kevin, Lee, Alexi · Forward FutureMatthew Berman reviews a launch demonstration of collaborative editing, an in-canvas Python debugging loop and Canvas support for custom GPTs.
1:29:00EN14,000 people applied. Thirty-three got in. The jobs are at Homeland Security.Presenta: Nathan LabenzMichael Boyce, director of the DHS AI Corps, tells Nathan Labenz how the largest civilian AI team in the U.S. government is being built — and what it is already shipping.
1:44:23ZH岂凡超:AI 创业如何从模型转向信息产品Invitado: 岂凡超 · Presenta: 张小珺深言科技创始人谈融资后的方向选择、阅读工具与团队管理。
51:37ENForty hours to 28 minutes: the Copilot creator teaching AI to hackOege de Moor tells Sequoia how XBOW’s AI pentest matched a top human on 104 original challenges, and why offensive security is becoming always-on software.
41:50ENMarc Benioff on Agentforce, AI Workforce Plans and the Beginner’s MindInvitado: Marc Benioff · Presenta: Harry StebbingsThe Salesforce CEO discusses his 2025 staffing plan, AI agent pricing and the leadership lessons behind the company’s shift toward Agentforce.
15:35ENSora’s 2024 Launch: Video Tests and Policy QuestionsAI Explained reviews early generations and contemporaneous OpenAI reporting.
14:23ENSora’s Initial Release: Storyboards, Remix and a Launch-Day TestMatthew Berman · Forward FutureMatthew Berman explores the 2024 video generator’s editing tools and reports mixed results from his first attempts.
1:03:21ENHorace He on Building ML Systems for Trillion-Trillion OperationsHorace He · MetaHow GPU bottlenecks, compiler design and distributed parallelism shape the systems behind large-scale model training.
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