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56:31EN
Unsupervised Learning: With Jacob Effron· Oct 6, 2026PodcastPost-Training Wins Inference: Why Owning the Weights Beats Betting on One LabHost Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.Models & trainingPost-trainingReinforcement Learning+3
58:17EN
Unsupervised Learning: With Jacob Effron· Sep 3, 2026PodcastThey cheated in two hours, then spent four days hiding from a scorer that was never lookingHost Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.Security & safetyAI securitySafety & governance+3
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Unsupervised Learning: With Jacob Effron· Jul 31, 2026PodcastThe Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your HouseHost Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.AgentsAI startups & small teamsCompany Building+3
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Unsupervised Learning: With Jacob Effron· Jul 16, 2026PodcastCarriers Spend $200 Billion a Year. The Money Went Up the StackHost Jacob EffronBenedict Evans tells Jacob Effron why analogizing AI to past platforms is a dead end, and why looking at how those platforms actually made money is not.Enterprise & strategyAI StrategyEnterprise AI+3
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Unsupervised Learning: With Jacob Effron· Jul 9, 2026PodcastA Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen SchmidhuberHost Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.Models & trainingAGIAI research+3
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Unsupervised Learning: With Jacob Effron· Jun 12, 2026PodcastBills Doubled Overnight. Next, the APIs Might Vanish.Host Jacob EffronSix months after their last roundup, Ari Morcos and Rob Toews tell Jacob Efron why coding agents finally work, why near-frontier open weights may have peaked, and why a compute famine could pull the plug on public APIs.Enterprise & strategyAI StrategyOpen-source ecosystems+3
1:13:33EN
Unsupervised Learning: With Jacob Effron· Jun 3, 2026PodcastA Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still MissHost Jacob EffronThe Attention Is All You Need co-author tells Unsupervised Learning that transformers will probably keep winning — and that they still do not learn the way people do.Models & trainingAI researchCoding agents+3
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Unsupervised Learning: With Jacob Effron· Jun 1, 2026PodcastReid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the CardHost Jacob EffronSebastian Mallaby's biography of Demis Hassabis, discussed with Jacob Effron, is a story of a founder who tried to stop the AI race and then became one of its central players.Enterprise & strategyAI StrategySafety & governance+3
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Unsupervised Learning: With Jacob Effron· May 22, 2026PodcastThe GPT moment for video hasn’t arrived, but AGI may already be hereHost Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.Models & trainingWorld modelsReinforcement Learning+3
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Unsupervised Learning: With Jacob Effron· May 15, 2026PodcastYann LeCun Left Meta Because LLMs Will Not Get You to IntelligenceHost Jacob EffronThe Turing Award winner tells Jacob Effron why he spun AMI Labs out of Meta, why JEPA-style world models beat pixel generators, and why he thinks Hinton changed his mind in 2023.Models & trainingWorld modelsAI research+3
58:46EN
Unsupervised Learning: With Jacob Effron· Apr 9, 2026PodcastTwo Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028Host Jacob EffronJakub Pachocki tells Jacob Effron why those timelines still hold, why continual learning is not a detour, and why showing chain of thought in the product would train the monitor away.Models & trainingContinual learningReinforcement Learning+3
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Unsupervised Learning: With Jacob Effron· Jan 29, 2026PodcastA Model That Solves New Math Problems Every Week Still Isn't AGIHost Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.Models & trainingReinforcement LearningAGI Timelines+3
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Unsupervised Learning: With Jacob Effron· Dec 18, 2025PodcastThe Real Bottleneck in AI Research Is Compute, Not IdeasHost Jacob EffronAfter NeurIPS, Ari Morcos and Rob Toews sit down with Jacob Effron to argue about plateauing models, SSI’s secrecy, OpenAI’s cash burn, and a set of spicy 2026 bets.Enterprise & strategyAI StrategyScaling Laws+3
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Unsupervised Learning: With Jacob Effron· Dec 15, 2025PodcastA Two-Second Vote Is Training Models to Be ClickbaitHost Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.Evals & observabilityRL environments & simulatorsData quality & curation+3
57:37EN
Unsupervised Learning: With Jacob Effron· Dec 10, 2025PodcastThe hot-swap era for models is over, OpenAI's enterprise product chief saysHost Jacob EffronOlivier Godement on GPT-5.1, Codex, enterprise harnesses, and the three practices that actually make AI land inside large companies.Enterprise & strategyEnterprise AIProduct Strategy+3
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Unsupervised Learning: With Jacob Effron· Dec 5, 2025PodcastChina's AI Labs Went From 15 to Six. The Compute Gap Is 15-to-1.Host Jacob EffronJordan Schneider tells Unsupervised Learning that Chinese models were a private-capital story, that Beijing still thinks in hardware, and that the West's real edge is chips it can serve — not a state master plan.Enterprise & strategyGeopoliticsAI Strategy+3
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Unsupervised Learning: With Jacob Effron· Dec 2, 2025PodcastAfter SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5Host Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.AgentsAI Product ManagementEvals+3
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Unsupervised Learning: With Jacob Effron· Oct 24, 2025PodcastKarpathy Called Today's Models Slop. His Decade Timeline Still Sounds BullishHost Jacob EffronDatology AI's Ari Morcos and Radical Ventures' Rob Toews walk through Karpathy's cold water, OpenAI's dealmaking, and who actually pays for the data-center boom.Enterprise & strategyAI StrategyCompany Building+3
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Unsupervised Learning: With Jacob Effron· Sep 24, 2025Podcast$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the MathHost Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.Enterprise & strategyAI StrategyAI startups & small teams+3
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Unsupervised Learning: With Jacob Effron· Sep 17, 2025PodcastA Name Invented at 2:30 a.m. Put Gemini on Top of the App StoreHost Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.Multimodal & mediaMultimodal AIGenerative media+3
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Unsupervised Learning: With Jacob Effron· Sep 10, 2025PodcastInference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't HoldHost Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.Infrastructure & deploymentInferenceAI cost & performance+3
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Unsupervised Learning: With Jacob Effron· Aug 13, 2025PodcastThey Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.Host Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.Models & trainingAI for scienceComputational Biology+3
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Unsupervised Learning: With Jacob Effron· Jun 17, 2025PodcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Host Jacob EffronDatabricks co-founder Ion Stoica explains why LMArena exists, why China is winning open-source models, and why reliability—not another scaling law—is still the thing holding AI back.Evals & observabilityEvalsBenchmarks+3
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Unsupervised Learning: With Jacob Effron· Jun 4, 2025PodcastMercor's CEO: Knowledge Work's Next Job Is Writing EvalsHost Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.Evals & observabilityEvalsData quality & curation+3
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