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4,188 件並び順
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.ホスト 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.ホスト 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 Boringホスト 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 Automationゲスト Daniel Dines · ホスト 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 Administrationゲスト Reid Hoffman · ホスト 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 expertsホスト 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ゲスト Kevin Xu · ホスト 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 Contentゲスト Guillaume Moubeche · ホスト 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 Chipsホスト 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 Technologyゲスト Torsten Reil · ホスト 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.ホスト 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ゲスト 岂凡超 · ホスト 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 Mindゲスト Marc Benioff · ホスト 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.
6:16ENRunning Stable Diffusion 3.5 with ComfyUI on a Cloud GPUMatthew Berman · Forward FutureIn a Vultr-sponsored 2024 tutorial, Matthew Berman sets up a GPU instance and generates images with ComfyUI. Licensing, security, and prices require attention beyond the demonstration.
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