JE

Jacob Effron

Unsupervised Learning
79팟캐스트 출연1프로그램2024 – 2026기간

팟캐스트 출연

79회 · 최신순
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202612회
Unsupervised Learning2026년 10월Post-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab모델과 학습Post-trainingReinforcement Learning진행자ENUnsupervised Learning2026년 9월They cheated in two hours, then spent four days hiding from a scorer that was never looking보안과 안전AI security안전과 거버넌스진행자ENUnsupervised Learning2026년 7월The Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House에이전트AI startups & small teamsCompany Building진행자ENUnsupervised Learning2026년 7월Carriers Spend $200 Billion a Year. The Money Went Up the Stack기업과 전략AI Strategy엔터프라이즈 AI진행자ENUnsupervised Learning2026년 7월A Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen Schmidhuber모델과 학습AGI(범용 인공지능)AI research진행자ENUnsupervised Learning2026년 6월Bills Doubled Overnight. Next, the APIs Might Vanish.기업과 전략AI StrategyOpen-source ecosystems진행자ENUnsupervised Learning2026년 6월A Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still Miss모델과 학습AI research코딩 에이전트진행자ENUnsupervised Learning2026년 6월Reid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the Card기업과 전략AI Strategy안전과 거버넌스진행자ENUnsupervised Learning2026년 5월The GPT moment for video hasn’t arrived, but AGI may already be here모델과 학습World modelsReinforcement Learning진행자ENUnsupervised Learning2026년 5월Yann LeCun Left Meta Because LLMs Will Not Get You to Intelligence모델과 학습World modelsAI research진행자ENUnsupervised Learning2026년 4월Two Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028모델과 학습Continual learningReinforcement Learning진행자ENUnsupervised Learning2026년 1월A Model That Solves New Math Problems Every Week Still Isn't AGI모델과 학습Reinforcement LearningAGI Timelines진행자EN
202523회
Unsupervised Learning2025년 12월The Real Bottleneck in AI Research Is Compute, Not Ideas기업과 전략AI StrategyScaling Laws진행자ENUnsupervised Learning2025년 12월A Two-Second Vote Is Training Models to Be Clickbait평가와 관측 가능성RL environments & simulatorsData quality & curation진행자ENUnsupervised Learning2025년 12월The hot-swap era for models is over, OpenAI's enterprise product chief says기업과 전략엔터프라이즈 AIProduct Strategy진행자ENUnsupervised Learning2025년 12월China's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.기업과 전략GeopoliticsAI Strategy진행자ENUnsupervised Learning2025년 12월After SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5에이전트AI Product Management평가(Evals)진행자ENUnsupervised Learning2025년 10월Karpathy Called Today's Models Slop. His Decade Timeline Still Sounds Bullish기업과 전략AI StrategyCompany Building진행자ENUnsupervised Learning2025년 9월$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Math기업과 전략AI StrategyAI startups & small teams진행자ENUnsupervised Learning2025년 9월A Name Invented at 2:30 a.m. Put Gemini on Top of the App Store멀티모달과 미디어Multimodal AIGenerative media진행자ENUnsupervised Learning2025년 9월Inference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't Hold인프라와 배포InferenceAI cost & performance진행자ENUnsupervised Learning2025년 8월They Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.모델과 학습AI for scienceComputational Biology진행자ENUnsupervised Learning2025년 6월A Free Voting Board Burned $2 Million. Then It Raised $100 Million.평가와 관측 가능성평가(Evals)Benchmarks진행자ENUnsupervised Learning2025년 6월Mercor's CEO: Knowledge Work's Next Job Is Writing Evals평가와 관측 가능성평가(Evals)Data quality & curation진행자ENUnsupervised Learning2025년 5월The New Ruler for Models Is How Long They Can Work코딩 에이전트에이전트 엔지니어링평가(Evals)진행자ENUnsupervised Learning2025년 5월An Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a Decade모델과 학습평가(Evals)Post-training진행자ENUnsupervised Learning2025년 4월Sal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Product제품과 UXAI in EducationProduct Strategy진행자ENUnsupervised Learning2025년 4월The Transformer Co-Author Who Says Scaling Hit a Wall기업과 전략엔터프라이즈 AIAI Strategy진행자ENUnsupervised Learning2025년 4월The $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion Market기업과 전략AI StrategyCompany Building진행자ENUnsupervised Learning2025년 3월Open-source models are 5% of enterprise use — and GPT wrappers won기업과 전략Product-Market FitAI Strategy진행자ENUnsupervised Learning2025년 3월A Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still Untapped모델과 학습Reasoning & test-time computeScaling Laws진행자ENUnsupervised Learning2025년 3월Mike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a Year인프라와 배포AI StrategyOpen-weight models진행자ENUnsupervised Learning2025년 2월The Cheaper Intelligence Gets, the More of It We'll Buy에이전트에이전트 엔지니어링Reinforcement Learning진행자ENUnsupervised Learning2025년 1월A Million Tokens Cannot Write a Good Joke평가와 관측 가능성평가(Evals)Benchmarks진행자ENUnsupervised Learning2025년 1월A 50,000-GPU cap and a 1,700-chip loophole인프라와 배포AI RegulationGeopolitics진행자EN
20249회
Unsupervised Learning2024년 12월o1 Is a New Generation — and the Day AGI Arrives Will Feel Boring모델과 학습Reasoning & test-time compute에이전트 엔지니어링진행자ENUnsupervised Learning2024년 12월There will not be one model. Fireworks is betting on hundreds of small experts인프라와 배포InferenceModel routing & gateways진행자ENUnsupervised Learning2024년 12월Noam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of Headroom모델과 학습Reasoning & test-time computeAGI(범용 인공지능)진행자ENUnsupervised Learning2024년 11월He bet company equity that Transformer would last — then drew an AI map for 12,000 companies기업과 전략Transformers & attentionPretraining & midtraining진행자ENUnsupervised Learning2024년 10월DeepL Beat Google at Translation by Refusing to Be a General Model기업과 전략Data quality & curation평가(Evals)진행자ENUnsupervised Learning2024년 10월o1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning Point모델과 학습Reasoning & test-time computeAI research진행자ENUnsupervised Learning2024년 6월Scott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the Moat제품과 UXProduct StrategyAI interface design진행자ENUnsupervised Learning2024년 3월A Broken Belt Buckle Turned Gucci's Call Center Into a Sales Floor기업과 전략엔터프라이즈 AIAI Strategy진행자ENUnsupervised Learning2024년 1월OpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need Years기업과 전략AI StrategyPrompting & in-context learning진행자EN
날짜 미상35회
Unsupervised LearningSuno’s CEO Says the Future of Music Is a Conversation, Not a Prompt멀티모달과 미디어Generative mediaMultimodal AI진행자ENUnsupervised LearningPinecone's Vector Database Bet: Scaling Through the ChatGPT Tsunami인프라와 배포Vector search검색 증강 생성(RAG)진행자ENUnsupervised LearningPeter Deng on Why AI Pricing, Evals and Voice Are Still Misunderstood기업과 전략Product StrategyPricing Strategy진행자ENUnsupervised LearningPerplexity's Bet: Search Becomes Answers, and Answers Become a BusinessRAG와 지식검색 증강 생성(RAG)Search & retrieval진행자ENUnsupervised LearningCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier코딩 에이전트에이전트 엔지니어링컨텍스트 엔지니어링진행자ENUnsupervised LearningAgents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use Infrastructure에이전트에이전트 엔지니어링Computer use진행자ENUnsupervised LearningThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentAutonomous DrivingRoboticsMultimodal AI진행자ENUnsupervised LearningSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes First기업과 전략인프라와 배포엔터프라이즈 AI진행자ENUnsupervised LearningCameras Optional: HeyGen's Joshua Xu on Avatars, Orchestration and Building Ahead of the Models멀티모달과 미디어Generative media음성 AI진행자ENUnsupervised LearningLegora's CEO on Building Legal AI That Survives the Next Model Release기업과 전략엔터프라이즈 AIProduct Strategy진행자ENUnsupervised LearningThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't Enough인프라와 배포Vector search검색 증강 생성(RAG)진행자ENUnsupervised LearningOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrives기업과 전략AGI TimelinesAI Strategy진행자ENUnsupervised LearningFrom RAG to Reasoning: Why the Future of AI Is a System, Not a Model모델과 학습Reasoning & test-time computePost-training진행자ENUnsupervised LearningServal's Jake Stout on Outbuilding ServiceNow: Mirror the System of Record, Bet on Code, and Ship Before the Incumbent Can Book a Meeting기업과 전략Company Building엔터프라이즈 AI진행자ENUnsupervised LearningGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interface멀티모달과 미디어음성 AIMultimodal AI진행자ENUnsupervised LearningOscar Health's AI Playbook: Translate the Bureaucracy First, Then Reinvent Care기업과 전략AI in healthcare엔터프라이즈 AI진행자EN
79개 중 60개 표시