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1:02EN
Matthew Berman· 2026년 10월 15일From Punched Cards to AI Software FactoriesMatthew Berman · Forward FutureMatthew Berman contrasts early programming with an AI-assisted workflow and promotes Factory’s development tools.소프트웨어 팩토리코딩 에이전트Software engineering+1
2:15EN
Matthew Berman· 2026년 1월 18일Elon Musk’s OpenAI Lawsuit: Founding Disputes, Discovery and the 2023 Board CrisisMatthew Berman · Forward FutureMatthew Berman discusses documents in the dispute over OpenAI’s structure, including Greg Brockman’s journal and questions about board governance.OpenAIAI HistoryAI Regulation+1
슬라이드 5장10:16EN
Matthew Berman· 2026년 1월 14일Matthew Berman Reviews Disclosures in the Musk–OpenAI LawsuitMatthew Berman · Forward FutureEmails, messages and journal excerpts illuminate disputes over OpenAI’s early direction and the 2023 leadership crisis, while the underlying legal claims remain contested.OpenAIAI History안전과 거버넌스+1
슬라이드 3장8:16EN
Matthew Berman· 2026년 1월 12일AI and Erdős Problem 397: A Verified Proof, Prior Work and the Prospect of Self-ImprovementMatthew Berman · Forward FutureMatthew Berman discusses AI-assisted mathematics and argues that algorithmic discoveries could accelerate AI development, while the history of problem 397 adds important context.MathematicsAI for scienceAI research+2
슬라이드 4장14:55EN
Matthew Berman· 2025년 1월 25일How the Industry Reacted to OpenAI Operator in 2025Matthew Berman · Forward FutureMatthew Berman reviews early views on browser agents, their limitations, competing projects and examples of delegated tasks.AI agentsComputer useOpenAI+2
슬라이드 5장11:29EN
Matthew Berman· 2024년 11월 1일ChatGPT Search vs. Perplexity: A 2024 First LookMatthew Berman · Forward FutureMatthew Berman tests the newly launched search feature on podcast links, mistaken identities, restaurant maps, Factorio and stock questions.OpenAISearch & retrieval제품과 UX+1
슬라이드 5장12:03EN
Matthew Berman· 2024년 9월 6일Reflection 70B: Self-Correction Claims and the Limits of a 2024 DemoMatthew Berman · Forward FutureMatthew Berman reviews a model trained to generate reflection steps. Its initial benchmark claims later proved difficult for independent evaluators to reproduce.AI HistoryFoundation Models평가(Evals)+2
슬라이드 4장9:51EN
Matthew Berman· 2024년 8월 7일Strawberry Rumors and Two Anonymous Chatbot Reasoning TestsMatthew Berman · Forward FutureIn August 2024, Matthew Berman examined speculation about OpenAI’s next model and tested mystery chatbots on simple reasoning puzzles. Later disclosures clarified the identity of one of them.Reasoning & test-time compute평가(Evals)Foundation Models+2
3:37EN
Matthew Berman· 2024년 1월 18일Mark Zuckerberg Announces Llama 3 Training and Meta’s AI PlansMatthew Berman, Mark Zuckerberg · Forward FutureIn January 2024, Matthew Berman reacts to Zuckerberg’s remarks on general intelligence, compute and AI devices.Open-weight modelsAI History인프라와 배포+1
슬라이드 5장7:09EN
Matthew Berman· 2023년 7월 28일AI News in July 2023: SDXL, Worldcoin, and Biological ComputingMatthew Berman · Forward FutureMatthew Berman reviews a week of AI developments, from Google’s Gemini project and new generative models to biometric identity and experiments with cultured neurons.Generative media모델과 학습Brain-Computer Interfaces+2
슬라이드 4장14:29EN
Matthew Berman· 2023년 5월 8일A 2023 Google Memo on Open Models, LoRA and AI’s Competitive MoatMatthew Berman · Forward FutureMatthew Berman reviews a leaked employee essay arguing that rapid community iteration could challenge proprietary AI labs, and traces the early LLaMA ecosystem.Open-weight modelsAI History파인튜닝+1
슬라이드6:00EN
Matthew Berman· 2023년 2월 13일Nothing, Forever: AI-Generated Comedy and the Future of TelevisionMatthew Berman · Forward FutureMatthew Berman examines the procedurally generated Seinfeld homage, its awkward comedy, moderation challenges and implications for future media.Generative mediaCreativityAI Safety+2
14:55EN
Lex Fridman· 2019년 10월 29일팟캐스트 · 2명Kasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questions게스트 Garry Kasparov · 진행자 Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.AI HistoryPhilosophyHuman-AI Collaboration+3
12:16EN
Lex Fridman팟캐스트Rule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational Experiment진행자 Lex FridmanWolfram recalls working with Feynman at Thinking Machines, why Feynman hid his calculations, and how building a computer language changed his approach to science.AI HistoryFirst PrinciplesScience Communication+1
11:59EN
Lex Fridman팟캐스트 · 2명From a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Be게스트 François Chollet · 진행자 Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.오픈소스와 커뮤니티Deep LearningOpen-source ecosystems+3