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393개정렬
16:12ENAI News in October 2025: Claude Skills, DGX Spark and a Proposed AGI MeasureMatthew Berman, Jensen Huang, Elon Musk, Jeff Bezos · Forward FutureMatthew Berman reviews product announcements, early research and predictions, from reusable agent skills to orbital data centers.
13:53ENTiny Recursive Models and the Limits of Puzzle Benchmark ComparisonsMatthew Berman · Forward FutureMatthew Berman examines a small recursive network that reports strong ARC and Sudoku results, and what its experimental setup means.
1:01:49ENChatGPT's Co-Creator Left to Put Nature in the Reward Loop진행자 Nathan LabenzLiam Fedus and Ekin Dogus Cubuk on why language models still fail at physics, why literature data is too noisy to train on, and why Periodic Labs is aiming at a 200K superconductor.
14:47ENAI News in September 2025: OpenAI’s Programming Test, Meta’s REFRAG and New Agent ToolsMatthew Berman · Forward FutureMatthew Berman surveys competition results, efficient retrieval, agent payments, 3D worlds and model launches, alongside updates on Waymo and AI video. The episode distinguishes announcements, research claims and rumors from established outcomes.
16:29ENWhat Anthropic’s 2025 Economic Index Says About AI Adoption and WorkMatthew Berman · Forward FutureMatthew Berman explores Claude usage across tasks, countries and businesses, and considers what uneven adoption could mean for workers and inequality.
8:47ENWhy Identical LLM Prompts Can Produce Different Answers at Temperature ZeroMatthew Berman · Forward FutureMatthew Berman explains Thinking Machines Lab’s work on batch-invariant inference and what its reproducibility experiment actually showed.
15:26ENSeptember 2025 AI News: xAI Litigation, Microsoft Models, Anthropic and Medical ResearchMatthew Berman · Forward FutureMatthew Berman reviews model releases, company funding, an antitrust ruling, robot demos and a study of subtle movement in brain-injured patients.
2:02:17ENSAEs Find the Nouns. Parameter Decomposition Looks for the Verbs진행자 Nathan LabenzGoodfire's Lee Sharkey argues that sparse autoencoders recover a network's variables, not the algorithms those variables run, and shows how stochastic parameter decomposition tries to recover the computations themselves.
1:50:08ENARC-AGI, Agent Memory and Interactive Worlds: Forward Future LiveMatthew Berman, Nick Wentz, Greg Kamradt, Charles Packer, Alan · Forward FutureGreg Kamradt, Charles Packer and Skywork AI’s Alan join Matthew Berman and Nick Wentz to examine how AI systems learn, remember and interact with environments.
18:40ENAI News in August 2025: Model Memory, Image Editing, Coding Agents and RobotsMatthew Berman · Forward FutureMatthew Berman reviews early reports on GPT-6, DeepSeek V3.1, Qwen image editing, developer tools and humanoid demonstrations. Several claims were previews, company statements or unconfirmed reports.
13:30ENHow AlphaGeometry Combines Logical Proof with Creative ConstructionAleph0Aleph0 explains how a symbolic geometry solver gets surprisingly far without AI, and how a language model supplies the auxiliary constructions that take it to Olympiad level.
10:28ENOpenAI’s gpt-oss Models: Open Weights, Benchmarks and SafetyMatthew Berman · Forward FutureMatthew Berman reviews the 120b and 20b models, local deployment claims, selected evaluations and the scope of OpenAI’s safety testing.
30:11ENFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.
2:20:45ZH郑博元解读 Kimi K2 与智能体训练:数据、奖励和系统工程게스트 郑博元 · 진행자 张小珺从合成轨迹和强化学习到浏览器环境与上下文工程,研究者比较 2025 年的几份技术报告。
47:05ENLogan Kilpatrick on AI Developers, Interfaces, and the Future of ModelsMatthew Berman, Logan Kilpatrick · Forward FutureIn a July 2025 conversation, Google’s Logan Kilpatrick discusses Windsurf, agent interfaces, coding skills, Veo, and the shifting boundary between models and application scaffolding.
12:14ENAI News: Windsurf’s Acquisition, Meta Compute Plans, Grok and VoxtralMatthew Berman · Forward FutureA July 2025 roundup examines developer-tool deals, AI infrastructure, model behavior, reward methods and speech recognition.
1:41:09ZH谢晨:机器人仿真、合成数据与现实之间的差距게스트 谢晨 · 진행자 张小珺从自动驾驶经验到具身智能,讨论场景构建、物理校准和训练数据。
15:23ENGrok 4’s Early Reception: Impressive Demos, Safety Questions and Mixed User FeedbackMatthew Berman · Forward FutureMatthew Berman surveys early reactions to xAI’s 2025 model release, from physics simulations and benchmark results to concerns about bias, safety and speed.
41:13ENFrom 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.
47:07ENGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.
2:38:11ZH王鹤:具身智能的研究历程、数据与产业化게스트 王鹤 · 진행자 张小珺从视觉导航到机器人操作,研究者讨论合成数据、真实验证和产品价值。
1:25:32ENo3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI Village진행자 Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.
10:20ENMeta’s Superintelligence Labs and the Fight for AI ResearchersMatthew Berman, Sam Altman · Forward FutureMatthew Berman traces Meta’s 2025 investment in Scale AI, its recruitment from rival labs, and OpenAI’s response. The video’s claims about customer data and signing bonuses need important qualifications.
1:02:17ENDylan Patel on AI Labs, Chip Competition and the Race for SuperintelligenceMatthew Berman, Dylan Patel · Forward FutureThe SemiAnalysis founder discusses Meta’s AI talent drive, OpenAI’s Microsoft relationship, Apple’s strategy, accelerator economics and the future of work.
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