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5 Folien10:01EN
Matthew Berman· 5. Feb. 2025DeepSeek R1 Code Optimization and a $3 Visual Counting ExperimentMatthew Berman · Forward FutureMatthew Berman examines a human-guided coding improvement and a small reinforcement-learning experiment, then considers their implications for AI research.Reinforcement LearningGPU programming & kernelsAI research+2
2:49:35ZH
Zhang Xiaojun Podcast· 4. Feb. 2025Podcast · 2 Stimmen潘嘉怡解读 R1、o1 与 Kimi K1.5:强化学习如何教模型学会推理Gast: 潘嘉怡 · Moderation: 张小珺伯克利博士生潘嘉怡带读 DeepSeek、OpenAI 与 Kimi 的推理模型报告,拆解长思维链、GRPO、奖励设计与蒸馏。R1-Zero 的“顿悟时刻”展示了推理策略如何在强化学习中涌现。Reinforcement LearningModelle & TrainingAI research+2
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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
1:08:12EN
20VC with Harry Stebbings· 22. Jan. 2025Podcast · 2 StimmenGeorge Sivulka on Hebbia, Enterprise AI and the Future of WorkGast: George Sivulka · Moderation: Harry StebbingsThe Hebbia founder discusses document analysis, inference scaling, enterprise adoption and his forecasts for models and employment.Enterprise-KIAI agentsInference+2
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
23:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 9. Jan. 2025Podcast · 2 StimmenA Hundred GPUs in Seconds: Why Modal Threw Out Docker and KubernetesModeration: Sarah Guo, Elad GilErik Bernhardsson tells Elad Gil that AI inference is too bursty for year-long GPU contracts, and that the cloud should feel as fast as a laptop.Infrastruktur & DeploymentInferenceAI cost & performance+3
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Matthew Berman· 3. Jan. 2025How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.Reinforcement LearningModelle & TrainingAI research+1
55:50EN
Unsupervised Learning: With Jacob Effron· 16. Dez. 2024PodcastThere will not be one model. Fireworks is betting on hundreds of small expertsModeration: Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.Infrastruktur & DeploymentInferenceModel routing & gateways+3
42:21EN
No Priors: AI, Machine Learning, Tech, & Startups· 12. Dez. 2024Podcast · 2 StimmenThey Cooled 5,000 Watts per Square Centimeter in Space. Now Diamond Goes on AI ChipsModeration: Sarah Guo, Elad GilAkash Systems founders Felix Ejeckam and Ty Mitchell tell Sarah Guo why heat is the real limiter on AI, and how lab-grown diamond bonded to semiconductors is their answer.Infrastruktur & DeploymentAI cost & performanceSemiconductors+1
44:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 21. Nov. 2024Podcast · 2 StimmenCohere's Aidan Gomez: The Model Curve Is Flattening, and $20 Million Now Buys GPT-4Moderation: Sarah Guo, Elad GilThe Attention Is All You Need co-author tells No Priors why enterprises should stop waiting for the next model and start putting today's models into production.Unternehmen & StrategieEnterprise-KIAI Strategy+3
36:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 7. Nov. 2024Podcast · 2 StimmenJensen Huang: NVIDIA Is No Longer Building Computers. It Is Building AI FactoriesModeration: Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO walks through hyper Moore’s law, NVLink, a 100,000-GPU cluster stood up in weeks, and why tokens are the new commodity.Infrastruktur & DeploymentAI cost & performanceInference+3
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Matthew Berman· 29. Okt. 2024Zamba2-7B: A Hybrid Mamba–Transformer Model Tested on Coding and ReasoningMatthew Berman · Forward FutureMatthew Berman compares Zyphra’s efficiency claims with his own informal tests, including Python games, spatial puzzles and simple word tasks.Modelle & TrainingOpen-weight modelsBenchmarks+2
5 Folien9:38EN
Matthew Berman· 15. Okt. 2024Liquid Foundation Models: Company Benchmarks and a Hands-On TestMatthew Berman · Forward FutureMatthew Berman reviews Liquid AI’s 2024 model and memory claims, then tries the 40B preview on coding, logic, and instruction-following prompts.Foundation ModelsEvalsBenchmarks+2
2:29:04EN
Lex Fridman· 6. Okt. 2024Podcast · 2 StimmenKeep the Programmer in the Driver's Seat: Cursor's Founders on Tab, Agents, and Zero-Entropy EditingGast: Cursor Team · Moderation: Lex FridmanMichael Truell, Aman Sanger, Sualeh Asif, and Arvid Lunnemark tell Lex Fridman why they forked VS Code, how Tab and Apply actually work, and why most programming still needs a human iterating in real time.Coding-AgentenEntwicklungs-Workflows & TestsAI interface design+3
Folien0:54EN
Matthew Berman· 16. Sept. 2024OpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.Modelle & TrainingInference
37:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 30. Aug. 2024Podcast · 2 StimmenWorking Backwards from AGI: Magic's Five-Million-Token BetModeration: Sarah Guo, Elad GilEric Steinberger wants a coding colleague you trust like a teammate — and a world that is still a good place thirty years after AGI.Coding-AgentenContext EngineeringInference+3
6 Folien18:37EN
Matthew Berman· 29. Aug. 2024GameNGen Simulates Doom as AI Coding, Safety and Inference News AccelerateMatthew Berman · Forward FutureMatthew Berman reviews a 2024 game-simulation paper, Cursor, robotics, AI safety debates and new enterprise tools.World modelsCoding-AgentenAI Safety+2
Folien0:44EN
Matthew Berman· 29. Aug. 2024NVIDIA Adds Multi-LoRA Serving to Its RTX AI ToolkitMatthew Berman · Forward FutureIn an NVIDIA-partnered video, Matthew Berman describes using multiple adapters with one base model and a vendor-reported throughput gain.Fine-TuningInferenceInfrastruktur & Deployment
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
42:42EN
No Priors: AI, Machine Learning, Tech, & Startups· 22. Aug. 2024Podcast · 2 StimmenEthereum Once Held Two Thousand GPT-3 Clusters of GPUsModeration: Sarah Guo, Elad GilFoundry CEO Jared Quincy Davis on idle H100s, why today's AI cloud is still colocation, and how compound systems move work off giant interconnected clusters.Infrastruktur & DeploymentAI cost & performanceDistributed training & inference+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
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Matthew Berman· 27. Juli 2024A Mixture-of-Agents Demo Using Groq and StreamlitMatthew Berman · Forward FutureMatthew Berman walks through a 2024 Groq-powered multi-agent project, from setup to inspecting its layered responses.Multi-agent systemsAgent orchestrationInference+1
1:00:28EN
Sequoia Capital· 9. Juli 2024PodcastScaling Laws Aren't Done. Don't Lock Yourself Into Yesterday's Architecture.Microsoft CTO Kevin Scott on why the exponential is still compounding, why inference will dwarf training, and why a language model is the world's crappiest database.Unternehmen & StrategieScaling LawsInference+3
1:42:16EN
Cognitive Revolution "How AI Changes Everything"· 4. Juli 2024Podcast267 Papers in Seven Months: Albert Gu Explains the State Space Model RevolutionModeration: Nathan LabenzThe Mamba co-author walks through five years of recurrent-model work, why selective compression beats a growing KV cache, and what Mamba 2 trades away to train faster.Modelle & TrainingTransformers & attentionInference+3
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