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37:37EN
Sequoia Capital· 2025년 7월 22일팟캐스트A dozen people, 28 minutes, and one shared desktopThe OpenAI trio behind ChatGPT Agent explain how Deep Research and Operator became a virtual computer that can reason for half an hour and still ask you before it spends money.에이전트Computer use에이전트 엔지니어링+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
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
59:38EN
Sequoia Capital· 2025년 7월 1일팟캐스트ElevenLabs Was Supposed to Be RoadkillCo-founder Mati Staniszewski on dirty audio data, prosumer virality, and why voice should become the default interface for technology.제품과 UX음성 AIGenerative media+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
슬라이드 5장24:25EN
Matthew Berman· 2025년 6월 24일Building a Sleep Tracker With Pythagora 2.0Matthew Berman · Forward FutureMatthew Berman demonstrates an AI-assisted development workflow, from an editable specification to testing and debugging a sleep-tracking prototype.코딩 에이전트개발 워크플로와 테스트AI in healthcare+2
40:33EN
Sequoia Capital· 2025년 6월 24일팟캐스트Fifty People in Slack. Four Minutes to the Smoking Gun.Traversal's co-founders on turning DevOps heart attacks into agent-run root cause analysis — and why observability's second-largest software spend still leaves troubleshooting as a whodunit.평가와 관측 가능성관측 가능성과 안정성에이전트 엔지니어링+3
38:48EN
Cognitive Revolution "How AI Changes Everything"· 2025년 6월 14일팟캐스트Task Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in Charge진행자 Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.에이전트에이전트 엔지니어링안전과 거버넌스+3
41:25EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 6월 12일팟캐스트 · 2명Ben Mann thinks superintelligence by 2028 is quite possible진행자 Sarah Guo, Elad GilAnthropic's co-founder tells No Priors how Claude 4 unlocked hours of unattended agent work, why the lab built Claude Code, and what an economic Turing test would actually measure.에이전트코딩 에이전트에이전트 엔지니어링+3
슬라이드 4장18:13EN
Matthew Berman· 2025년 6월 2일Darwin Gödel Machine: How a Coding Agent Tests Changes to Its Own SoftwareMatthew Berman · Forward FutureMatthew Berman explains Sakana AI’s evolutionary search over agent code, its benchmark results and the limits of claims about recursive self-improvement.에이전트 엔지니어링코딩 에이전트평가(Evals)+2
38:25EN
Sequoia Capital· 2025년 5월 27일팟캐스트A thousand airplanes will never train an AI engineerFormer Airbus CTO Paul Eremenko explains why physical-world engineering still has no coding-AI moment, and how P-1 AI's agent Archie is supposed to get there anyway.에이전트에이전트 엔지니어링Synthetic data+3
1:01:51EN
Cognitive Revolution "How AI Changes Everything"· 2025년 5월 22일팟캐스트Claude 3.7 Circumvented Replit's Guardrails, Then Tried to Trick the User진행자 Nathan LabenzReplit CEO Amjad Masad on vibe coding, agent architecture, computer use, and why Claude 3.7 is too autonomous to serve as a polite assistant.코딩 에이전트에이전트 엔지니어링평가(Evals)+3
57:31EN
Unsupervised Learning: With Jacob Effron· 2025년 5월 22일팟캐스트The New Ruler for Models Is How Long They Can Work진행자 Jacob EffronOn Claude 4's launch day, Anthropic researcher Sholto Douglas argued that the next phase of AI is less about harder puzzles and more about hours of unsupervised work.코딩 에이전트에이전트 엔지니어링평가(Evals)+3
47:00EN
Unsupervised Learning: With Jacob Effron· 2025년 5월 8일팟캐스트An Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a Decade진행자 Jacob EffronOpenAI’s GPT-4.1 post-training lead Michelle Pokrass tells Unsupervised Learning how the team spent three months on evals before training, why agents fail on wiring more than intelligence, and when to reach for RFT.모델과 학습평가(Evals)Post-training+3
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 5월 1일팟캐스트 · 2명o3 should wait exactly as long as the answer takes진행자 Sarah Guo, Elad GilOpenAI researchers Eric Mitchell and Brandon McKinzie tell No Priors why o3's leap is a chain of tools during reasoning — and why you should send the same prompt a hundred times.모델과 학습Reasoning & test-time computeReinforcement Learning+3
33:18EN
Matthew Berman· 2025년 5월 1일Zuckerberg and Nadella on AI Coding, Agents and the Next Software StackMatthew Berman, Mark Zuckerberg, Satya Nadella · Forward FutureMatthew Berman examines their 2025 LlamaCon conversation about AI-assisted development, open models and changing workflows.코딩 에이전트에이전트 엔지니어링AI Strategy+2
슬라이드 7장14:04EN
Matthew Berman· 2025년 4월 29일Qwen3: Open Weights, Adjustable Reasoning and Tool UseMatthew Berman · Forward FutureMatthew Berman reviews the April 2025 Qwen3 family, its benchmark claims, training pipeline and local demonstration.Open-weight models모델과 학습Reasoning & test-time compute+2
슬라이드 4장19:06EN
Matthew Berman· 2025년 4월 25일Sleep-Time Compute: Preparing AI Context Before a QuestionMatthew Berman · Forward FutureMatthew Berman reviews a 2025 paper on moving some reasoning ahead of a user query, and explains where its experiments found benefits and limits.Reasoning & test-time computeAgent memoryAI cost & performance+2
30:46EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 4월 24일팟캐스트 · 2명Deep Research Turned Web Browsing into a Trainable Problem진행자 Sarah Guo, Elad GilOpenAI researcher Isa Fulford explains why a side project on read-only synthesis became an agent, when reinforcement fine-tuning is worth it, and why models will hack the search engine you gave them.에이전트에이전트 엔지니어링Reinforcement Learning+3
슬라이드 7장15:46EN
Matthew Berman· 2025년 4월 16일OpenAI o3 and o4-mini: Tool Use, Benchmarks and the First Codex CLIMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s April 2025 reasoning-model release, a scientific image-analysis demonstration and the debut of its terminal coding agent.OpenAIReasoning & test-time computeBenchmarks+2
41:52EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 4월 10일팟캐스트 · 2명Mercor Hit $100 Million ARR Teaching Models to Hire. Humans Now Write the Exams.진행자 Sarah Guo, Elad GilBrendan Foody tells Sarah Guo and Elad Gil how Mercor automated recruiting for frontier labs — and why building evals may become the world's most common knowledge job.기업과 전략평가(Evals)에이전트 엔지니어링+3
1:26:21EN
Cognitive Revolution "How AI Changes Everything"· 2025년 4월 10일팟캐스트For under $10, Google's AI independently recovered a lab result nobody had published진행자 Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.에이전트AI in healthcareAI for science+3
1:26:19EN
Sequoia Capital· 2025년 4월 8일팟캐스트He turned down a billion dollars for a world with a billion developersReplit CEO Amjad Masad tells Sequoia’s Training Data why a six-person company walked away from a life-changing offer, and why a billion people writing software is a better end state than AGI as universal basic income.코딩 에이전트에이전트 엔지니어링Developer productivity+3
슬라이드 8장23:50EN
Matthew Berman· 2025년 4월 3일PaperBench: How AI Agents Attempt to Replicate Machine-Learning ResearchMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s research-replication benchmark, its partial-credit scoring and the prospect of faster AI research.평가(Evals)AI research에이전트 엔지니어링+2
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