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54:53EN
Unsupervised Learning: With Jacob Effron· 17 jun 2025PódcastA Free Voting Board Burned $2 Million. Then It Raised $100 Million.Presenta: 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.
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Matthew Berman· 1 may 2025Zuckerberg and Nadella on AI Coding, Agents and the Next Software StackMatthew Berman, Mark Zuckerberg, Satya Nadella · Forward FutureMatthew Berman examines their 2025 LlamaCon conversation about AI-assisted development, open models and changing workflows.
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Cognitive Revolution "How AI Changes Everything"· 12 mar 2025PódcastAnt's $320 Billion IPO Was Stopped at the Eleventh Hour: Angela Zhang on China's Tech TightropePresenta: Nathan LabenzA USC law professor walks through the dynamic pyramid that governs Chinese tech, from Didi's listing to DeepSeek's price war, and why she thinks the United States is starting to look more like China.
45:06ENUnsupervised Learning: With Jacob Effron· 5 mar 2025PódcastMike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a YearPresenta: Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.
1:08:51ENCognitive Revolution "How AI Changes Everything"· 1 mar 2025PódcastChip Controls Are Meant to Buy Ten Years, Not Win the AI RacePresenta: Nathan LabenzEconomist Noah Smith tells Nathan Labenz that U.S. export controls are a piece of conventional deterrence against China — not a plan to kneecap DeepSeek.
2:33:39ENCognitive Revolution "How AI Changes Everything"· 27 feb 2025PódcastThe Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI DefensesPresenta: Nathan LabenzA Google DeepMind security researcher on simple loss functions, 70% robust accuracy, and why the fix has to live in the system, not the model.
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Lex Fridman· 2 feb 2025PódcastDeepSeek's $5 million training claim and the five-year bet on computePresenta: Lex FridmanDylan Patel and Nathan Lambert walk Lex Fridman through DeepSeek-V3 and R1, export controls, TSMC, megaclusters, and who actually makes money in the AI race.
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20VC with Harry Stebbings· 29 ene 2025Pódcast · 2 vocesJonathan Ross on DeepSeek, Open Models and AI InfrastructureInvitado: Jonathan Ross · Presenta: Harry StebbingsThe Groq CEO discusses reported training costs, inference demand, competitive strategy and the security concerns surrounding AI.
1:48:20ENCognitive Revolution "How AI Changes Everything"· 25 ene 2025PódcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TablePresenta: Nathan LabenzOn Inauguration Day 2025, DeepSeek and Moonshot dropped reasoning-model results that Nathan Labenz reads as proof the reinforcement-learning recipe is simple, public, and still climbing.
1:24:57ENUnsupervised Learning: With Jacob Effron· 21 ene 2025PódcastA 50,000-GPU cap and a 1,700-chip loopholePresenta: Jacob EffronSemiAnalysis founder Dylan Patel walks through the AI diffusion rule, China’s compute squeeze, and how xAI stood up a 100,000-GPU cluster in a closed Memphis appliance factory.
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Sequoia Capital· 14 ene 2025PódcastIf Someone Builds a Better Spark Product, We Deserve to LoseIon Stoica on how Databricks turned academic open source into a data-and-AI company — and which problems he thinks will matter more tomorrow than today.
3:53:49ENCognitive Revolution "How AI Changes Everything"· 3 ene 2025PódcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oPresenta: Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.
1:57:00ENCognitive Revolution "How AI Changes Everything"· 28 dic 2024PódcastLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI FirstPresenta: Nathan LabenzDoom Debates host Liron Shapira presses OpenAI technical staffer roon on extinction odds, alignment-by-default, and a plan that even he admits is balancing on razor wire.
1:49:41ENCognitive Revolution "How AI Changes Everything"· 21 nov 2024PódcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BasePresenta: Nathan LabenzNathan Lambert walks through Tulu 3: the three-stage recipe, the 1 percent versus 14 percent lesson, and why open post-training now lives or dies on data and evals.
2:24:18ENCognitive Revolution "How AI Changes Everything"· 30 oct 2024PódcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Presenta: Nathan LabenzZyphra’s training lead walks through Zamba 2’s hybrid architecture, the evals that actually matter, and the trade secrets small labs still have to rediscover.
35:30ENMatthew Berman· 6 sept 2024Reflection 70B: Its Creators Explain the Proposed Self-Correction MethodMatthew Berman, Matt Shumer, Sahil Chaudhary · Forward FutureA launch-day discussion with Matt Shumer and Sahil Chaudhary covers synthetic data, selective reflection and evaluation limits.
1:03:46EN20VC with Harry Stebbings· 4 sept 2024Pódcast · 2 vocesZico Kolter on AI Safety, Scaling and the Limits of Open ModelsInvitado: Zico Kolter · Presenta: Harry StebbingsThe Carnegie Mellon researcher and OpenAI board member explains why prompt injection worries him, how he thinks about open weights, and why AI progress remains uncertain.
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No Priors: AI, Machine Learning, Tech, & Startups· 29 ago 2024Pódcast · 2 vocesAWS Is a $100 Billion Cloud. Matt Garman Still Sees a 10x Migration AheadPresenta: Sarah Guo, Elad GilAmazon Web Services’ new CEO tells No Priors why 85 percent of workloads are still on-prem, how Bedrock was built from three bets, and why startups remain the company’s growth engine.
39:18ENSequoia Capital· 13 ago 2024PódcastOpen and Closed Will Tie at the Same Size: PyTorch's Former Lead on Fast InferenceA six-month library swap at Meta became a five-year rebuild. Lin Qiao wants the rest of the industry to get that stack in five weeks.
42:08ENSequoia Capital· 30 jul 2024PódcastMeta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.
44:08ENMatthew Berman· 25 jul 2024Mark Zuckerberg on Llama 3.1, Open Models and Meta’s AI StrategyMatthew Berman, Mark Zuckerberg · Forward FutureMatthew Berman reacts to Zuckerberg’s 2024 interview on open-weight AI, safety, platform control and a future of personalized agents.
1:54:01ENCognitive Revolution "How AI Changes Everything"· 26 jun 2024PódcastA Tiny Network Grew a Salt Crystal the Training Data Never ShowedPresenta: Nathan LabenzTim Duignan trained tens of thousands of parameters on salt water. The model invented a crystal — and a continuum solvent theory he had spent a PhD failing to write by hand.
51:00EN20VC with Harry Stebbings· 29 abr 2024Pódcast · 2 vocesArthur Mensch on Mistral’s Open Models, Compute and Developer StrategyInvitado: Arthur Mensch · Presenta: Harry StebbingsThe Mistral AI co-founder explains the company’s mix of open and commercial models, its compute constraints and its bet on efficient developer tools.
1:42:17ENCognitive Revolution "How AI Changes Everything"· 20 abr 2024PódcastThe Cheapest Inference Provider Is the Most DangerousPresenta: Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.Cargar másMostrando 24 de 108