Jacob Effron
Unsupervised Learning79episodios de pódcast1programas2024 – 2026años
Apariciones en pódcasts
79 episodios · más recientes primero202612 episodios
Post-Training Wins Inference: Why Owning the Weights Beats Betting on One LabPresentaENThey cheated in two hours, then spent four days hiding from a scorer that was never lookingPresentaENThe Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your HousePresentaENCarriers Spend $200 Billion a Year. The Money Went Up the StackPresentaENA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen SchmidhuberPresentaENBills Doubled Overnight. Next, the APIs Might Vanish.PresentaENA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissPresentaENReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the CardPresentaENThe GPT moment for video hasn’t arrived, but AGI may already be herePresentaENYann LeCun Left Meta Because LLMs Will Not Get You to IntelligencePresentaENTwo Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028PresentaENA Model That Solves New Math Problems Every Week Still Isn't AGIPresentaEN202523 episodios
The Real Bottleneck in AI Research Is Compute, Not IdeasPresentaENA Two-Second Vote Is Training Models to Be ClickbaitPresentaENThe hot-swap era for models is over, OpenAI's enterprise product chief saysPresentaENChina's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.PresentaENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5PresentaENKarpathy Called Today's Models Slop. His Decade Timeline Still Sounds BullishPresentaEN$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the MathPresentaENA Name Invented at 2:30 a.m. Put Gemini on Top of the App StorePresentaENInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldPresentaENThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.PresentaENA Free Voting Board Burned $2 Million. Then It Raised $100 Million.PresentaENMercor's CEO: Knowledge Work's Next Job Is Writing EvalsPresentaENThe New Ruler for Models Is How Long They Can WorkPresentaENAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadePresentaENSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the ProductPresentaENThe Transformer Co-Author Who Says Scaling Hit a WallPresentaENThe $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion MarketPresentaENOpen-source models are 5% of enterprise use — and GPT wrappers wonPresentaENA Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still UntappedPresentaENMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearPresentaENThe Cheaper Intelligence Gets, the More of It We'll BuyPresentaENA Million Tokens Cannot Write a Good JokePresentaENA 50,000-GPU cap and a 1,700-chip loopholePresentaEN20249 episodios
o1 Is a New Generation — and the Day AGI Arrives Will Feel BoringPresentaENThere will not be one model. Fireworks is betting on hundreds of small expertsPresentaENNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomPresentaENHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesPresentaENDeepL Beat Google at Translation by Refusing to Be a General ModelPresentaENo1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointPresentaENScott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the MoatPresentaENA Broken Belt Buckle Turned Gucci's Call Center Into a Sales FloorPresentaENOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsPresentaENFecha desconocida35 episodios
Suno’s CEO Says the Future of Music Is a Conversation, Not a PromptPresentaENPinecone's Vector Database Bet: Scaling Through the ChatGPT TsunamiPresentaENPeter Deng on Why AI Pricing, Evals and Voice Are Still MisunderstoodPresentaENPerplexity's Bet: Search Becomes Answers, and Answers Become a BusinessPresentaENCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next FrontierPresentaENAgents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use InfrastructurePresentaENThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentPresentaENSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes FirstPresentaENCameras Optional: HeyGen's Joshua Xu on Avatars, Orchestration and Building Ahead of the ModelsPresentaENLegora's CEO on Building Legal AI That Survives the Next Model ReleasePresentaENThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't EnoughPresentaENOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence ArrivesPresentaENFrom RAG to Reasoning: Why the Future of AI Is a System, Not a ModelPresentaENServal's Jake Stout on Outbuilding ServiceNow: Mirror the System of Record, Bet on Code, and Ship Before the Incumbent Can Book a MeetingPresentaENGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard InterfacePresentaENOscar Health's AI Playbook: Translate the Bureaucracy First, Then Reinvent CarePresentaENMostrando 60 de 79