필터 결과
108개정렬
54:53EN
Unsupervised Learning: With Jacob Effron· 2025년 6월 17일팟캐스트A Free Voting Board Burned $2 Million. Then It Raised $100 Million.진행자 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.
33:18EN
Matthew Berman· 2025년 5월 1일Zuckerberg 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.
1:30:57EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 12일팟캐스트Ant's $320 Billion IPO Was Stopped at the Eleventh Hour: Angela Zhang on China's Tech Tightrope진행자 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· 2025년 3월 5일팟캐스트Mike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a Year진행자 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"· 2025년 3월 1일팟캐스트Chip Controls Are Meant to Buy Ten Years, Not Win the AI Race진행자 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"· 2025년 2월 27일팟캐스트The Attacker Goes Second: Why Nicholas Carlini Keeps Breaking AI Defenses진행자 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.
5:06:18EN
Lex Fridman· 2025년 2월 2일팟캐스트DeepSeek's $5 million training claim and the five-year bet on compute진행자 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.
1:00:02EN
20VC with Harry Stebbings· 2025년 1월 29일팟캐스트 · 2명Jonathan Ross on DeepSeek, Open Models and AI Infrastructure게스트 Jonathan Ross · 진행자 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"· 2025년 1월 25일팟캐스트From 15% to 70% on Right-or-Wrong Scores: DeepSeek-R1 Laid Reinforcement Learning's Cards on the Table진행자 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· 2025년 1월 21일팟캐스트A 50,000-GPU cap and a 1,700-chip loophole진행자 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.
1:00:05EN
Sequoia Capital· 2025년 1월 14일팟캐스트If 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"· 2025년 1월 3일팟캐스트With One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4o진행자 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"· 2024년 12월 28일팟캐스트Less Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI First진행자 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"· 2024년 11월 21일팟캐스트A Team of Fifteen Matched Meta’s Post-Training on Meta’s Own Base진행자 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"· 2024년 10월 30일팟캐스트MMLU Stays at Chance Until Late Training. Loss Is Only an Alarm.진행자 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· 2024년 9월 6일Reflection 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· 2024년 9월 4일팟캐스트 · 2명Zico Kolter on AI Safety, Scaling and the Limits of Open Models게스트 Zico Kolter · 진행자 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.
42:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 8월 29일팟캐스트 · 2명AWS Is a $100 Billion Cloud. Matt Garman Still Sees a 10x Migration Ahead진행자 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· 2024년 8월 13일팟캐스트Open 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· 2024년 7월 30일팟캐스트Meta 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· 2024년 7월 25일Mark 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"· 2024년 6월 26일팟캐스트A Tiny Network Grew a Salt Crystal the Training Data Never Showed진행자 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· 2024년 4월 29일팟캐스트 · 2명Arthur Mensch on Mistral’s Open Models, Compute and Developer Strategy게스트 Arthur Mensch · 진행자 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"· 2024년 4월 20일팟캐스트The Cheapest Inference Provider Is the Most Dangerous진행자 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.더 보기108개 중 24개 표시