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49:41ZH
Zhang Xiaojun Podcast· 17. Aug. 2024Podcast · 3 Stimmen傅盛:大模型是生产力革命,机器人迎来新的窗口Gast: 傅盛 · Moderation: 张小珺傅盛认为,大模型的核心是逻辑与推理能力,它带来的变化更像蒸汽机,而不是一次普通的互联网迭代。从平民化模型、服务机器人到创业者如何面对低谷,他也回看了自己的判断与心境。AI StrategyModelle & TrainingRobotics+2
2:04:15EN
Cognitive Revolution "How AI Changes Everything"· 14. Aug. 2024PodcastA parrot cannot paraphrase — and Claude cannot be talked into harmModeration: Nathan LabenzRobert Wright of the Nonzero podcast interviews Nathan Labenz on whether large language models understand anything, what Anthropic’s 10 million features actually show, and why open weights collide with U.S.–China policy.Modelle & TrainingModel InterpretabilityMultimodal AI+3
2 Folien16:06EN
MBMatthew Berman· 9. Aug. 2024Q* and Strawberry: What Was Known and Speculated in August 2024Matthew Berman · Forward FutureMatthew Berman reviews contemporary rumors and research concepts around reasoning, search and self-play, while the underlying project remained undisclosed.Modelle & TrainingAI researchAGI
46:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 1. Aug. 2024Podcast · 2 StimmenOriol Vinyals: The Days of Burning 90% of Compute on Pretraining Are NumberedModeration: Sarah Guo, Elad GilGoogle DeepMind’s VP of research on Gemini, long context, the coming shift from pretraining to RL, and why AGI may never have a finish line.Modelle & TrainingAGI TimelinesPretraining & midtraining+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
0:58EN
MBMatthew Berman· 11. Juli 2024NVIDIA NIM: Containerized AI Inference MicroservicesMatthew Berman · Forward FutureA sponsored overview of NVIDIA’s approach to packaging model inference for local and cloud applications.Infrastruktur & DeploymentModelle & Training
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
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 27. Juni 2024Podcast · 2 StimmenFive Independent Teams Found the Same 10-to-1 Mix That Beats TransformersModeration: Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.Modelle & TrainingTransformers & attentionSprach-KI+3
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
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 22. Juni 2024PodcastA Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.Moderation: Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.Modelle & TrainingAI in healthcareMultimodal AI+3
1:59:15EN
Cognitive Revolution "How AI Changes Everything"· 25. Mai 2024PodcastA Protein Backbone in a Minute: The Real Progress, Bottlenecks, and Risks of AI BiologyModeration: Nathan LabenzThe White House set a thousand-fold lower reporting bar for biological models than for language models—and this conversation shows why that gap already looks prescient.Modelle & TrainingAI for scienceComputational Biology+3
58:28EN
Cognitive Revolution "How AI Changes Everything"· 22. Mai 2024PodcastFrom Jailbreaking ChatGPT to Anthropic’s First Prompt Engineer: How Alex Albert Ships Claude 3Moderation: Nathan LabenzA year after building jailbreakchat.com, Alex Albert walks Nathan Labenz through Claude 3’s writing, orchestration, character work, and the guardrails app developers still skip.Modelle & TrainingSicherheit & GovernanceEvals+3
2 Folien12:50EN
MBMatthew Berman· 22. Mai 2024Testing Smaug: Hosted 70B Versus a Smaller Local ModelMatthew Berman · Forward FutureMatthew Berman compares two Smaug configurations on Snake, math and reasoning puzzles.Open-weight modelsEvalsModelle & Training
Folien27:07EN
MBMatthew Berman· 14. Mai 2024GPT-4o's Launch: Voice, Vision and a More Conversational InterfaceMatthew Berman, Mira Murati · Forward FutureMatthew Berman reviews OpenAI's May 2024 demonstrations of GPT-4o and considers what a faster multimodal assistant could enable.AI researchProdukt & UXModelle & Training
4 Folien17:12EN
MBMatthew Berman· 30. Apr. 2024Testing the Mystery 'gpt2-chatbot' Model in April 2024Matthew Berman · Forward FutureMatthew Berman tries an anonymous model on coding, arithmetic and reasoning tasks while its identity remains uncertain.BenchmarksModelle & TrainingCoding-Agenten+1
3 Folien16:28EN
MBMatthew Berman· 23. Apr. 2024Testing Reka Core: Multimodal Benchmarks, Coding and ReasoningMatthew Berman · Forward FutureMatthew Berman reviews Reka’s reported model comparisons and tests Core on code, logic and image understanding.Multimodal AIBenchmarksModelle & Training+1
3 Folien15:01EN
MBMatthew Berman· 19. Apr. 2024Testing Llama 3 at Launch: Code, Reasoning and Image GenerationMatthew Berman · Forward FutureMatthew Berman tries Meta AI’s new interface on a snake game, logic puzzles and rapid image generation.Open-weight modelsEvalsModelle & Training+1
1:01:39EN
Cognitive Revolution "How AI Changes Everything"· 13. Apr. 2024PodcastGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?Moderation: Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.Modelle & TrainingScaling LawsSynthetic data+3
1:19:24EN
Cognitive Revolution "How AI Changes Everything"· 5. Apr. 2024PodcastA Gibberish Prompt Unlocks What GPT-J Plans Three Tokens AheadModeration: Nathan LabenzNortheastern’s Bau Lab shows that a 40,000-parameter soft prompt can read a model’s future words, and that about ten attention heads carry the task itself.Modelle & TrainingModel InterpretabilityTransformers & attention+3
3 Folien14:23EN
MBMatthew Berman· 31. März 2024Testing DBRX: Coding Strengths and Reasoning GapsMatthew Berman · Forward FutureMatthew Berman examines Databricks’ open-weight model and puts it through coding, arithmetic and reasoning prompts.Open-weight modelsModelle & TrainingEvals+1
1:20:44EN
Cognitive Revolution "How AI Changes Everything"· 30. März 2024PodcastSeeing Like a Mamba: Vision, Rotting States, and a Cell Model in 90 DaysModeration: Nathan LabenzNathan Labenz and Jason Meaux survey the vision papers, long-context experiments, and biology work that followed the original Mamba release.Modelle & TrainingAI researchTransformers & attention+3
2:47:17EN
Lex Fridman· 7. März 2024Podcast · 2 StimmenIf You Want Human-Level AI, Abandon Generative ModelsGast: Yann Lecun · Moderation: Lex FridmanYann LeCun tells Lex Fridman why autoregressive LLMs cannot plan, remember, or understand the physical world — and why open source is the only democratic answer.Modelle & TrainingWorld modelsAGI+3
3 Folien23:00EN
MBMatthew Berman· 22. Feb. 2024Testing Google Gemma 7B at Launch: Setup MattersMatthew Berman · Forward FutureMatthew Berman compares local and hosted tests of Google’s early open-weight model.Open-weight modelsEvalsModelle & Training
1:58:43EN
Cognitive Revolution "How AI Changes Everything"· 7. Feb. 2024PodcastA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.Moderation: Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.Modelle & TrainingAI HistoryNeuroscience & AI+3
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