絞り込み結果
12 件並び順
1:02ENFrom Punched Cards to AI Software FactoriesMatthew Berman · Forward FutureMatthew Berman contrasts early programming with an AI-assisted workflow and promotes Factory’s development tools.
1:50:09EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月27日ポッドキャストNine Hundred Occupations, Twenty Years, and Still No AI Revolutionホスト 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.
1:58:43ENCognitive Revolution "How AI Changes Everything"· 2024年2月7日ポッドキャストA Worm With 302 Neurons Already Makes Trade-offs. AI Is Still on the Same Ladder.ホスト Nathan LabenzMax Bennett maps 600 million years of brain evolution onto five breakthroughs — and asks which rungs today's models have actually reached.
1:25:50ENCognitive Revolution "How AI Changes Everything"· 2023年4月18日ポッドキャストPrompt Engineering Became Programming, and Riley Goodside Is Fine With Thatホスト 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.
2:02:45EN
Lex Fridman· 2020年12月26日ポッドキャストSteal the Code: You Get Zero Points for Making the Algorithm Runホスト 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.
46:25ENLex Fridman· 2019年1月17日ポッドキャストDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Throughホスト Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.
1:25:16ENLex FridmanポッドキャストFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional Networksホスト 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.
12:16ENLex FridmanポッドキャストRule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational Experimentホスト 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.
1:03:25ENLex FridmanポッドキャストTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Mathホスト 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.
40:25ENLex FridmanポッドキャストA Language That Knows the World: Stephen Wolfram on Computable Knowledgeホスト 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.
1:20:58ENLex FridmanポッドキャストFrom Bag of Words to Attention: Quoc Le Teaches Sequence-to-Sequence Learning Through Email Repliesホスト 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.
1:27:41ENLex FridmanポッドキャストDeep Learning in 2020: Lex Fridman's Tour of Transformers, Self-Play, Self-Driving and What Comes Nextホスト 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.