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슬라이드 6장13:40EN
Matthew Berman· 2025년 10월 23일AI News in October 2025: Gemini Tools, M5 and a Quantum Echoes ExperimentMatthew Berman · Forward FutureMatthew Berman reviews an app-building demo, robot footage, model rumors, hardware claims, research debates and Meta’s AI reorganization.AI research제품과 UXQuantum Mechanics+2
슬라이드 7장32:22EN
Matthew Berman· 2025년 10월 16일Qwen Image Edit Plus Compared With Nano Banana, Seedream and GPT Image 1Matthew Berman · Forward FutureMatthew Berman compares four image-editing models across compositing, precise edits, style transfer, object removal and weather effects.모델과 학습평가(Evals)
1:29:30EN
Cognitive Revolution "How AI Changes Everything"· 2025년 10월 14일팟캐스트2,500 Compounds and a 51 Percent Hit Rate: How a Small Graph Net Found New Antibiotics진행자 Nathan LabenzMIT's Jim Collins tells Nathan Labenz how a bootlegged 2018 project, a binary growth-inhibition label, and Chemprop graph networks pulled novel antibiotics out of chemical space that labs could never screen by hand.모델과 학습AI for scienceDrug Discovery+3
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
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 10월 9일팟캐스트 · 2명STaR's Author Wants Models With EQ, Not Just More IQ진행자 Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.모델과 학습Post-trainingReinforcement Learning+3
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 2장0:58EN
Matthew Berman· 2025년 9월 26일Microsoft’s Nebius GPU Infrastructure AgreementMatthew Berman · Forward FutureIn a sponsored video, Matthew Berman discusses a 2025 infrastructure agreement and Nebius’s AI services.인프라와 배포AI cost & performance모델과 학습
1:22:07EN
Cognitive Revolution "How AI Changes Everything"· 2025년 9월 25일팟캐스트Every payment is a frame in a movie. Stripe’s foundation model took card-testing detection from 59% to 97%진행자 Nathan LabenzEmily Sands, Stripe’s head of data and AI, explains how a domain-specific payments model, shared embeddings, and mixed rules turn a $1.4 trillion network into compounding advantage.모델과 학습금융 AIEmbeddings+3
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 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
57:52EN
Unsupervised Learning: With Jacob Effron· 2025년 8월 13일팟캐스트They Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.진행자 Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.모델과 학습AI for scienceComputational Biology+3
슬라이드 7장15:08EN
Matthew Berman· 2025년 8월 8일GPT-5 at Launch: Routing, Coding, Benchmarks and ReliabilityMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s 2025 GPT-5 release, its unified ChatGPT experience, benchmark claims and the limitations of model evaluations.OpenAI모델과 학습Benchmarks+2
40:32EN
Matthew Berman· 2025년 8월 7일Mark Chen on GPT-5, Synthetic Data and the Future of AI ResearchMatthew Berman, Mark Chen · Forward FutureOpenAI’s head of research discusses training, agents, open-weight releases and evaluation with Matthew Berman in August 2025.OpenAI모델과 학습Synthetic data+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
슬라이드3:13EN
Matthew Berman· 2025년 8월 5일Claude Opus 4.1: Anthropic’s August 2025 Benchmark UpdateMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported coding, reasoning and tool-use results, including one benchmark that declined.모델과 학습평가(Evals)코딩 에이전트
슬라이드 9장15:30EN
Matthew Berman· 2025년 7월 31일Qwen3 Tested: Coding Demos, Long Context and Response BehaviorMatthew Berman · Forward FutureMatthew Berman tests generated simulations, political and safety prompts, hand tracking and word puzzles using a hosted Qwen3 model.Open-weight models코딩 에이전트평가(Evals)+2
슬라이드 6장11:28EN
Matthew Berman· 2025년 7월 30일GLM-4.5: Coding Demos, Model Sizes and Z.ai’s BenchmarksMatthew Berman · Forward FutureMatthew Berman tests interactive applications built with GLM-4.5 and examines Z.ai’s reported comparisons with leading models in July 2025.Open-weight models코딩 에이전트Benchmarks+2
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
슬라이드 4장6:53EN
Matthew Berman· 2025년 7월 24일Qwen3-Coder: An Open-Weight Coding Model and Its Command-Line AgentMatthew Berman · Forward FutureMatthew Berman examines Qwen’s July 2025 coding model, its training and benchmark results, and tries its command-line tool on a Snake game.코딩 에이전트Open-weight models모델과 학습+2
슬라이드 16장23:39ZH
跟李沐学AI· 2025년 7월 23일李沐:给文本大模型加入一千万小时语音,开源 Higgs Audio李沐 · Boson AI李沐介绍团队如何在文本大语言模型的训练里加入大量语音数据,做成能听能说的 AudioLLM,并把 Higgs Audio 开源。他讲了架构取舍、token 压缩、数据从哪来,以及怎么在 3090 上跑起来。음성 AIMultimodal AI모델과 학습+2
1:07:41EN
20VC with Harry Stebbings· 2025년 7월 21일팟캐스트 · 2명Edwin Chen on Building Surge and the Data Behind AI Models게스트 Edwin Chen · 진행자 Harry StebbingsThe Surge founder discusses a bootstrapped business, training-data quality and the limits he sees in AI benchmarks and synthetic data.Data quality & curationCompany Building모델과 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
49:55EN
Matthew Berman· 2025년 7월 17일Aravind Srinivas on Comet, AI Browsers and the Future of WorkMatthew Berman, Aravind Srinivas · Forward FuturePerplexity’s CEO explains why the company built a browser, how it evaluates models and why he expects AI to disrupt jobs.에이전트Product StrategyAI Strategy+2
38:10EN
Cognitive Revolution "How AI Changes Everything"· 2025년 7월 16일팟캐스트Plus Five for Format, Plus Ten if It Compiles진행자 Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.모델과 학습파인튜닝Post-training+3
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