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슬라이드 5장16:12EN
Matthew Berman· 2025년 10월 18일AI 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.Agent skillsAI research인프라와 배포+2
슬라이드 6장13:53EN
Matthew Berman· 2025년 10월 10일Tiny 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.AI researchBenchmarksReasoning & test-time compute+1
1:01:49EN
Cognitive Revolution "How AI Changes Everything"· 2025년 10월 2일팟캐스트ChatGPT'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.모델과 학습AI for scienceReinforcement Learning+3
슬라이드 5장14:47EN
Matthew Berman· 2025년 9월 18일AI 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.AI researchAI agentsBenchmarks+2
슬라이드 7장16:29EN
Matthew Berman· 2025년 9월 17일What 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.AI AdoptionFuture of WorkAnthropic+2
슬라이드 4장8:47EN
Matthew Berman· 2025년 9월 16일Why 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.InferenceAI research관측 가능성과 안정성+1
슬라이드 7장15:26EN
Matthew Berman· 2025년 9월 4일September 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.AI researchAI in healthcareFoundation Models+2
2:02:17EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 27일팟캐스트SAEs 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.모델과 학습Model InterpretabilityAI research+3
슬라이드 9장1:50:08EN
Matthew Berman· 2025년 8월 22일ARC-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.평가(Evals)AI agentsAI research+2
슬라이드 4장18:40EN
Matthew Berman· 2025년 8월 21일AI 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.AI StrategyAI agentsRobotics+2
슬라이드 4장13:30EN
3Blue1Brown· 2025년 8월 17일How 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.MathematicsReasoning & test-time computeAI research+2
슬라이드 3장10:28EN
Matthew Berman· 2025년 8월 5일OpenAI’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.모델과 학습AI research평가(Evals)+1
30:11EN
Sequoia Capital· 2025년 7월 30일팟캐스트From 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.모델과 학습Reasoning & test-time computeBenchmarks+3
2:20:45ZH
Zhang Xiaojun Podcast· 2025년 7월 30일팟캐스트 · 2명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。에이전트에이전트 엔지니어링모델과 학습+2
47:05EN
Matthew Berman· 2025년 7월 21일Logan 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.AI research코딩 에이전트에이전트+2
슬라이드 4장12:14EN
Matthew Berman· 2025년 7월 16일AI 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.AI research모델과 학습에이전트+1
1:41:09ZH
Zhang Xiaojun Podcast· 2025년 7월 15일팟캐스트 · 2명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。Robotics모델과 학습AI research+1
슬라이드 3장15:23EN
Matthew Berman· 2025년 7월 13일Grok 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.AI researchBenchmarksAI Safety+2
41:13EN
Sequoia Capital· 2025년 7월 11일팟캐스트From 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.에이전트AI for scienceMulti-agent systems+3
47:07EN
Sequoia Capital· 2025년 7월 8일팟캐스트Goodfire’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.평가와 관측 가능성Model Interpretability안전과 거버넌스+3
2:38:11ZH
Zhang Xiaojun Podcast· 2025년 7월 2일팟캐스트 · 2명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。RoboticsAI research모델과 학습+1
1:25:32EN
Cognitive Revolution "How AI Changes Everything"· 2025년 7월 2일팟캐스트o3 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.에이전트Multi-agent systemsAgent memory+3
슬라이드 2장10:20EN
Matthew Berman· 2025년 7월 1일Meta’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.AI StrategyHiringAI research+2
1:02:17EN
Matthew Berman· 2025년 6월 30일Dylan 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.AI StrategySemiconductors인프라와 배포+2
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