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1:02EN
MBMatthew Berman· 15. Okt. 2026From Punched Cards to AI Software FactoriesMatthew Berman · Forward FutureMatthew Berman contrasts early programming with an AI-assisted workflow and promotes Factory’s development tools.Software-FabrikenCoding-AgentenSoftware engineering+1
1:50:09EN
Cognitive Revolution "How AI Changes Everything"· 27. Feb. 2024PodcastNine Hundred Occupations, Twenty Years, and Still No AI RevolutionModeration: Nathan LabenzEconomist Robin Hanson tells Cognitive Revolution why each new AI demo looks like the last one, and why wages and headcount are the tests that matter.Unternehmen & StrategieAGI TimelinesAI Strategy+3
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
1:25:50EN
Cognitive Revolution "How AI Changes Everything"· 18. Apr. 2023PodcastPrompt Engineering Became Programming, and Riley Goodside Is Fine With ThatModeration: Nathan LabenzScale AI’s first staff prompt engineer on tool use, fine-tuning without amnesia, generate-then-rank, and why the 2023 job-of-the-future story never arrived.Unternehmen & StrategiePrompting & in-context learningStructured outputs+3
2:02:45EN
Lex Fridman· 26. Dez. 2020PodcastSteal the Code: You Get Zero Points for Making the Algorithm RunModeration: Lex FridmanCharles Isbell and Michael Littman tell Lex Fridman why machine learning is not just statistics, why struggle has to stay hopeful, and what a $6,600 online master's actually sells.ML-GrundlagenAI in EducationAI research+3
46:25EN
Lex Fridman· 17. Jan. 2019PodcastDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke ThroughModeration: Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.Modelle & TrainingDeep LearningAI research+3
1:25:16EN
Lex FridmanPodcastFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional NetworksModeration: Lex FridmanA 2016 Deep Learning School talk covering how convnets work, how the ImageNet winners evolved, and how to apply them without being a hero.Modelle & TrainingDeep LearningComputer Vision+3
12:16EN
Lex FridmanPodcastRule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational ExperimentModeration: Lex FridmanWolfram recalls working with Feynman at Thinking Machines, why Feynman hid his calculations, and how building a computer language changed his approach to science.AI HistoryFirst PrinciplesScience Communication+1
1:03:25EN
Lex FridmanPodcastTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your MathModeration: Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.Modelle & TrainingDeep LearningML-Grundlagen+3
40:25EN
Lex FridmanPodcastA Language That Knows the World: Stephen Wolfram on Computable KnowledgeModeration: Lex FridmanIn this clip from the Lex Fridman Podcast, Stephen Wolfram explains what makes the Wolfram Language different from ordinary programming languages and how it grew into a computable knowledge base, from Wolfram Alpha to computational contracts.Programming LanguagesSoftware engineeringAI History
1:20:58EN
Lex FridmanPodcastFrom Bag of Words to Attention: Quoc Le Teaches Sequence-to-Sequence Learning Through Email RepliesModeration: Lex FridmanA Deep Learning School talk that builds sequence-to-sequence models step by step around one running example, automatic email reply, and then surveys memory and operation-augmented networks.Modelle & TrainingDeep LearningML-Grundlagen+2
1:27:41EN
Lex FridmanPodcastDeep Learning in 2020: Lex Fridman's Tour of Transformers, Self-Play, Self-Driving and What Comes NextModeration: Lex FridmanAn MIT lecture surveys the biggest advances of 2017 to 2019 across language, reinforcement learning, deep learning theory and autonomous vehicles, and lists Fridman's hopes for the year ahead.Modelle & TrainingDeep LearningAI research+3