Jacob Effron
Unsupervised Learning79ポッドキャスト出演1番組2024 – 2026期間
ポッドキャスト出演
79 回 · 新しい順202612 回
Post-Training Wins Inference: Why Owning the Weights Beats Betting on One LabホストENThey cheated in two hours, then spent four days hiding from a scorer that was never lookingホストENThe Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your HouseホストENCarriers Spend $200 Billion a Year. The Money Went Up the StackホストENA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen SchmidhuberホストENBills Doubled Overnight. Next, the APIs Might Vanish.ホストENA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissホストENReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the CardホストENThe GPT moment for video hasn’t arrived, but AGI may already be hereホストENYann LeCun Left Meta Because LLMs Will Not Get You to IntelligenceホストENTwo Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028ホストENA Model That Solves New Math Problems Every Week Still Isn't AGIホストEN202523 回
The Real Bottleneck in AI Research Is Compute, Not IdeasホストENA Two-Second Vote Is Training Models to Be ClickbaitホストENThe hot-swap era for models is over, OpenAI's enterprise product chief saysホストENChina's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.ホストENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5ホストENKarpathy Called Today's Models Slop. His Decade Timeline Still Sounds BullishホストEN$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the MathホストENA Name Invented at 2:30 a.m. Put Gemini on Top of the App StoreホストENInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldホストENThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.ホストENA Free Voting Board Burned $2 Million. Then It Raised $100 Million.ホストENMercor's CEO: Knowledge Work's Next Job Is Writing EvalsホストENThe New Ruler for Models Is How Long They Can WorkホストENAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeホストENSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the ProductホストENThe Transformer Co-Author Who Says Scaling Hit a WallホストENThe $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion MarketホストENOpen-source models are 5% of enterprise use — and GPT wrappers wonホストENA Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still UntappedホストENMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearホストENThe Cheaper Intelligence Gets, the More of It We'll BuyホストENA Million Tokens Cannot Write a Good JokeホストENA 50,000-GPU cap and a 1,700-chip loopholeホストEN20249 回
o1 Is a New Generation — and the Day AGI Arrives Will Feel BoringホストENThere will not be one model. Fireworks is betting on hundreds of small expertsホストENNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomホストENHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesホストENDeepL Beat Google at Translation by Refusing to Be a General ModelホストENo1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointホストENScott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the MoatホストENA Broken Belt Buckle Turned Gucci's Call Center Into a Sales FloorホストENOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsホストEN日付不明35 回
Suno’s CEO Says the Future of Music Is a Conversation, Not a PromptホストENPinecone's Vector Database Bet: Scaling Through the ChatGPT TsunamiホストENPeter Deng on Why AI Pricing, Evals and Voice Are Still MisunderstoodホストENPerplexity's Bet: Search Becomes Answers, and Answers Become a BusinessホストENCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next FrontierホストENAgents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use InfrastructureホストENThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentホストENSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes FirstホストENCameras Optional: HeyGen's Joshua Xu on Avatars, Orchestration and Building Ahead of the ModelsホストENLegora's CEO on Building Legal AI That Survives the Next Model ReleaseホストENThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't EnoughホストENOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence ArrivesホストENFrom RAG to Reasoning: Why the Future of AI Is a System, Not a ModelホストENServal's Jake Stout on Outbuilding ServiceNow: Mirror the System of Record, Bet on Code, and Ship Before the Incumbent Can Book a MeetingホストENGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard InterfaceホストENOscar Health's AI Playbook: Translate the Bureaucracy First, Then Reinvent CareホストEN79 件中 60 件を表示