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1:08:51EN
Cognitive Revolution "How AI Changes Everything"· 1. März 2025PodcastChip Controls Are Meant to Buy Ten Years, Not Win the AI RaceModeration: 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.SicherheitGeopoliticsAI Strategy+2
2:33:39EN
Cognitive Revolution "How AI Changes Everything"· 27. Feb. 2025PodcastThe Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI DefensesModeration: 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.SicherheitAI securitySicherheit & Governance+3
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 7. Feb. 2025Podcast · 2 StimmenThe $5.5 Million Was Only the Last MileModeration: Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.Modelle & TrainingAI StrategyAI cost & performance+3
5:06:18EN
Lex Fridman· 2. Feb. 2025PodcastDeepSeek's $5 million training claim and the five-year bet on computeModeration: 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.Unternehmen & StrategieOpen-weight modelsPretraining & midtraining+3
1:00:02EN
20VC with Harry Stebbings· 29. Jan. 2025Podcast · 2 StimmenJonathan Ross on DeepSeek, Open Models and AI InfrastructureGast: Jonathan Ross · Moderation: Harry StebbingsThe Groq CEO discusses reported training costs, inference demand, competitive strategy and the security concerns surrounding AI.InferenceAI cost & performanceGeopolitics+2
3 Folien5:27EN
MBMatthew Berman· 29. Jan. 2025Ways to Try DeepSeek R1: Hosted and Local Distilled ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates DeepSeek chat, Groq’s hosted distill and a local model in LM Studio.Local inferenceOpen-weight modelsQuantization
1:48:20EN
Cognitive Revolution "How AI Changes Everything"· 25. Jan. 2025PodcastFrom 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the TableModeration: 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.Modelle & TrainingReinforcement LearningReasoning & test-time compute+3
1:24:57EN
Unsupervised Learning: With Jacob Effron· 21. Jan. 2025PodcastA 50,000-GPU cap and a 1,700-chip loopholeModeration: 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.Infrastruktur & DeploymentAI RegulationGeopolitics+3
1:00:05EN
Sequoia Capital· 14. Jan. 2025PodcastIf 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.Unternehmen & StrategieCompany BuildingOpen-source ecosystems+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 3. Jan. 2025PodcastWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oModeration: Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.Multimodal & MedienMultimodal AIVision & Video+3
1:57:00EN
Cognitive Revolution "How AI Changes Everything"· 28. Dez. 2024PodcastLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI FirstModeration: 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.SicherheitSicherheit & GovernanceAGI Timelines+3
27:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 26. Dez. 2024Podcast · 2 StimmenAfter adding $100 billion a month, Jensen Huang says NVIDIA is selling the data centerModeration: Sarah Guo, Elad GilSarah Guo and Elad Gil clip their favorite 2024 No Priors conversations into a year-end reel of NVIDIA, Karpathy, Sierra, Sora, Waymo, Figma, and Scale.Unternehmen & StrategieAI StrategyInfrastruktur & Deployment+3
1:49:41EN
Cognitive Revolution "How AI Changes Everything"· 21. Nov. 2024PodcastA Team of Fifteen Matched Meta’s Post-Training on Meta’s Own BaseModeration: 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.Modelle & TrainingPost-trainingData quality & curation+3
0:28EN
MBMatthew Berman· 6. Nov. 2024Comparing Three Local Coding ModelsMatthew Berman · Forward FutureMatthew Berman introduces a sponsored comparison of DeepSeek Coder V2, Yi-Coder and Qwen Coder running on a workstation.Local inferenceCoding-AgentenOpen-weight models
2:24:18EN
Cognitive Revolution "How AI Changes Everything"· 30. Okt. 2024PodcastMMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.Moderation: 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.Modelle & TrainingLocal inferenceEvals+3
26:08EN
No Priors: AI, Machine Learning, Tech, & Startups· 3. Okt. 2024Podcast · 2 StimmenFewer Than 3% of Deals Get Investigated. Selling to the Monopolist Is What Triggers the FTC.Moderation: Sarah Guo, Elad GilChair Lina Khan tells No Priors how merger review actually works in AI markets, why open-weight models matter, and why the agency banned most non-competes.Unternehmen & StrategieAI RegulationOpen-weight models+3
2 Folien9:15EN
MBMatthew Berman· 25. Sept. 2024Llama 3.2 Adds Vision and Smaller On-Device ModelsMatthew Berman · Forward FutureIn a Meta-partnered 2024 video, Matthew Berman reviews the model family, its tooling and a brief hosted 1B demonstration.Open-weight modelsMultimodal AILocal inference+1
2 Folien35:30EN
MBMatthew 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.Modelle & TrainingData quality & curationEvals+2
1:03:46EN
20VC with Harry Stebbings· 4. Sept. 2024Podcast · 2 StimmenZico Kolter on AI Safety, Scaling and the Limits of Open ModelsGast: Zico Kolter · Moderation: 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.AI SafetyPrompt injectionOpen-weight models+2
42:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 29. Aug. 2024Podcast · 2 StimmenAWS Is a $100 Billion Cloud. Matt Garman Still Sees a 10x Migration AheadModeration: 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.Infrastruktur & DeploymentEnterprise-KIAI Strategy+3
39:18EN
Sequoia Capital· 13. Aug. 2024PodcastOpen 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.Infrastruktur & DeploymentInferenceFine-Tuning+3
42:08EN
Sequoia Capital· 30. Juli 2024PodcastMeta 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.Open Source & CommunityOpen-weight modelsDistillation+3
3 Folien13:40EN
MBMatthew Berman· 29. Juli 2024Testing Llama 3.1 8B: Benchmark Gains and Mixed Practical ResultsMatthew Berman · Forward FutureMatthew Berman tests coding, reasoning and other prompts on the small model and finds several failures despite stronger reported benchmarks.Open-weight modelsEvalsModelle & Training+1
1:54:01EN
Cognitive Revolution "How AI Changes Everything"· 26. Juni 2024PodcastA Tiny Network Grew a Salt Crystal the Training Data Never ShowedModeration: 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.Modelle & TrainingAI for scienceML-Grundlagen+3
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