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슬라이드 3장1:28:11EN
Matthew Berman· 2025년 9월 12일AI Agents, Web Access and Startup Investing: Forward Future LiveMatthew Berman, Paul Klein, Yohei Nakajima · Forward FutureMatthew Berman speaks with Browserbase’s Paul Klein and investor Yohei Nakajima in a September 2025 livestream.AI agentsComputer use평가(Evals)+2
슬라이드 4장2:03:52EN
Matthew Berman· 2025년 9월 12일AI Agents at Work: OpenAI, Factory AI and Box Discuss Building Reliable WorkflowsMatthew Berman, Nick Wentz, Srinivas Narayanan, Matan Grinberg, Aaron Levie · Forward FutureAt BoxWorks in September 2025, leaders discuss enterprise agents, software development and the practical work of evaluating AI systems.엔터프라이즈 AI코딩 에이전트평가(Evals)+2
50:00EN
Sequoia Capital· 2025년 9월 2일팟캐스트Crosby Bills by the Document, Not the Hour, and Turns Contracts Around in Under an HourThe founders of an AI-native law firm explain why they became lawyers with engineers at the next desk instead of shipping legal software, and how deal velocity became the product.기업과 전략파인튜닝컨텍스트 엔지니어링+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
42:12EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 8월 21일팟캐스트 · 2명Hire the AI First: Andrew Ng on Agentic Workflows and the Scarcity of Judgment진행자 Sarah Guo, Elad GilOn No Priors, Andrew Ng argues that agentic AI has made software cheap and fast, which moves the bottleneck to product judgment, error analysis, and the instinct to try an AI before adding headcount.에이전트에이전트 엔지니어링코딩 에이전트+3
30:05EN
Sequoia Capital· 2025년 8월 19일팟캐스트100 Signups, 95 Drop-offs: How Gamma Turned AI Slides Into a $50 Million BusinessGamma founder Jon Noronha tells Sequoia's Training Data how a park-bench idea, image models, and relentless A/B testing built a cash-flow-positive visual storytelling platform.기업과 전략Company BuildingProduct Strategy+3
1:48:49EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 16일팟캐스트$500, 2,000 Steps, and a Vending Machine: Grok 4 Profited, Claude Called the FBI진행자 Nathan LabenzAndon Labs put frontier models in charge of simulated and real vending machines to see what breaks when nobody is in the loop.에이전트에이전트 엔지니어링Autonomous Systems+3
슬라이드 2장1:55:50EN
Matthew Berman· 2025년 8월 15일Forward Future Live: GPT-5, AI Infrastructure, Evaluations and Coding AgentsMatthew Berman, Hiten Shah, Jordan Nanos, Tejal Patwardhan, Guy Gur-Ari · Forward FutureMatthew Berman and Hiten Shah speak with Jordan Nanos, Tejal Patwardhan and Guy Gur-Ari about the economics and measurement of AI in August 2025.평가(Evals)인프라와 배포코딩 에이전트+2
슬라이드 4장1:10EN
Matthew Berman· 2025년 8월 8일Testing a GPT-5-Generated Rubik’s Cube SimulatorMatthew Berman · Forward FutureMatthew Berman prompts GPT-5 to build a Three.js cube simulator and tries its scramble and solve controls at several sizes.Software engineering평가(Evals)Generative media+1
슬라이드 4장1:27:09EN
Matthew Berman· 2025년 8월 7일GPT-5 Launch Watch Party: Coding, Reasoning, Health and Developer DemosMatthew Berman, Sam Altman, Mark Chen, Max Schwarzer, Rennie Song, Elaine Ya Le, Christina Kaplan, Tina Kim, Yann Dubois, Ruochen Wang, Saachi Jain, Sebastien Bubeck, Felipe Millon, Greg Brockman, Michelle Pokrass, Brian Fioca, Adi Ganesh, Michael Truell, Olivier Godement, Jakub Pachocki · Forward FutureMatthew Berman and producer Alex watch OpenAI's August 2025 launch, reacting to the model's routing, benchmarks, applications and live demonstrations.OpenAI코딩 에이전트Foundation Models+2
슬라이드 16장25:24EN
Matthew Berman· 2025년 8월 7일GPT-5 Tested on Coding, Simulations and Multimodal TasksMatthew Berman · Forward FutureMatthew Berman tries browser applications, visual simulations and image prompts, showing both successes and defects in his early hands-on tests.코딩 에이전트Software engineeringMultimodal AI+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
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
1:02:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 7월 17일팟캐스트 · 2명Enterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other Half진행자 Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.코딩 에이전트에이전트 엔지니어링평가(Evals)+3
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
슬라이드 6장26:09EN
Matthew Berman· 2025년 7월 11일Grok 4 and Heavy Tested: Coding, Images, Reasoning and Practical QuestionsMatthew Berman · Forward FutureMatthew Berman’s July 2025 hands-on trials produce interactive prototypes and several failures, with important limits on what single examples can establish.Benchmarks코딩 에이전트Multimodal AI+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
42:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 6월 26일팟캐스트 · 2명AlphaEvolve found algorithms humans missed for 50 years — then sped up Gemini 23%진행자 Sarah Guo, Elad GilGoogle DeepMind’s Pushmeet Kohli and Matej Balog tell No Priors how an evolutionary coding agent searches algorithm space the way AlphaGo searched Go.코딩 에이전트에이전트 엔지니어링평가(Evals)+3
54:53EN
Unsupervised Learning: With Jacob Effron· 2025년 6월 17일팟캐스트A Free Voting Board Burned $2 Million. Then It Raised $100 Million.진행자 Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.평가와 관측 가능성평가(Evals)Benchmarks+3
슬라이드 5장11:24EN
Matthew Berman· 2025년 6월 10일Runner H and Surfer-H: A Browser Agent and Its Holo1 ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates H Company’s browser agent and reviews its research on visual navigation. The paper’s benchmark configuration and the demo’s missing links show why results need context.Computer useAI agentsOpen-weight models+1
슬라이드 9장22:05EN
Matthew Berman· 2025년 6월 9일Apple’s “Illusion of Thinking”: Puzzle Limits and a Code-Assisted TestMatthew Berman, Ilya Sutskever · Forward FutureMatthew Berman reviews Apple’s reasoning-model experiments and tests a different way to solve Tower of Hanoi using generated code.Reasoning & test-time computeBenchmarks평가(Evals)+1
44:21EN
Unsupervised Learning: With Jacob Effron· 2025년 6월 4일팟캐스트Mercor's CEO: Knowledge Work's Next Job Is Writing Evals진행자 Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.평가와 관측 가능성평가(Evals)Data quality & curation+3
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