Jacob Effron
Unsupervised Learning79Podcast-Folgen1Sendungen2024 – 2026Zeitraum
Podcast-Auftritte
79 Folgen · neueste zuerst202612 Folgen
Post-Training Wins Inference: Why Owning the Weights Beats Betting on One LabModerationENThey cheated in two hours, then spent four days hiding from a scorer that was never lookingModerationENThe Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your HouseModerationENCarriers Spend $200 Billion a Year. The Money Went Up the StackModerationENA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen SchmidhuberModerationENBills Doubled Overnight. Next, the APIs Might Vanish.ModerationENA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissModerationENReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the CardModerationENThe GPT moment for video hasn’t arrived, but AGI may already be hereModerationENYann LeCun Left Meta Because LLMs Will Not Get You to IntelligenceModerationENTwo Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028ModerationENA Model That Solves New Math Problems Every Week Still Isn't AGIModerationEN202523 Folgen
The Real Bottleneck in AI Research Is Compute, Not IdeasModerationENA Two-Second Vote Is Training Models to Be ClickbaitModerationENThe hot-swap era for models is over, OpenAI's enterprise product chief saysModerationENChina's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.ModerationENAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5ModerationENKarpathy Called Today's Models Slop. His Decade Timeline Still Sounds BullishModerationEN$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the MathModerationENA Name Invented at 2:30 a.m. Put Gemini on Top of the App StoreModerationENInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldModerationENThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.ModerationENA Free Voting Board Burned $2 Million. Then It Raised $100 Million.ModerationENMercor's CEO: Knowledge Work's Next Job Is Writing EvalsModerationENThe New Ruler for Models Is How Long They Can WorkModerationENAn Eval Lasts Three Months — and a Frozen Frontier Would Still Feed Startups for a DecadeModerationENSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the ProductModerationENThe Transformer Co-Author Who Says Scaling Hit a WallModerationENThe $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion MarketModerationENOpen-source models are 5% of enterprise use — and GPT wrappers wonModerationENA Million Tokens per Dollar: Why Noam Shazeer Thinks Inference Compute Is Still UntappedModerationENMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearModerationENThe Cheaper Intelligence Gets, the More of It We'll BuyModerationENA Million Tokens Cannot Write a Good JokeModerationENA 50,000-GPU cap and a 1,700-chip loopholeModerationEN20249 Folgen
o1 Is a New Generation — and the Day AGI Arrives Will Feel BoringModerationENThere will not be one model. Fireworks is betting on hundreds of small expertsModerationENNoam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of HeadroomModerationENHe bet company equity that Transformer would last — then drew an AI map for 12,000 companiesModerationENDeepL Beat Google at Translation by Refusing to Be a General ModelModerationENo1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning PointModerationENScott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the MoatModerationENA Broken Belt Buckle Turned Gucci's Call Center Into a Sales FloorModerationENOpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need YearsModerationENDatum unbekannt35 Folgen
Suno’s CEO Says the Future of Music Is a Conversation, Not a PromptModerationENPinecone's Vector Database Bet: Scaling Through the ChatGPT TsunamiModerationENPeter Deng on Why AI Pricing, Evals and Voice Are Still MisunderstoodModerationENPerplexity's Bet: Search Becomes Answers, and Answers Become a BusinessModerationENCoding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next FrontierModerationENAgents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use InfrastructureModerationENThe Long Tail, the World Model, and the 1995 Problem: Inside Waymo's Scaling Phase and Robotics' Missing MomentModerationENSnowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes FirstModerationENCameras Optional: HeyGen's Joshua Xu on Avatars, Orchestration and Building Ahead of the ModelsModerationENLegora's CEO on Building Legal AI That Survives the Next Model ReleaseModerationENThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't EnoughModerationENOpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence ArrivesModerationENFrom RAG to Reasoning: Why the Future of AI Is a System, Not a ModelModerationENServal's Jake Stout on Outbuilding ServiceNow: Mirror the System of Record, Bet on Code, and Ship Before the Incumbent Can Book a MeetingModerationENGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard InterfaceModerationENOscar Health's AI Playbook: Translate the Bureaucracy First, Then Reinvent CareModerationEN60 von 79 angezeigt