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2:34:20EN
Lex Fridman· 2020年8月30日ポッドキャスト · 2 人Intelligence Is How Efficiently You Acquire Skills You Were Not Prepared Forゲスト François Chollet · ホスト Lex FridmanFrançois Chollet tells Lex Fridman why skill is not intelligence, why GPT-3 is still pattern matching, and why a grid puzzle called ARC still separates children from machines.評価とオブザーバビリティBenchmarksAI research+3
1:59:49EN
Lex Fridman· 2019年9月14日ポッドキャスト · 2 人Intelligence is not the height of a building: François Chollet on Keras, deep learning, and why AGI will not explodeゲスト François Chollet · ホスト Lex FridmanThe Keras creator tells Lex Fridman that intelligence lives in a brain, a body, and a problem, that science already is a recursively self-improving superhuman system with linear output, and that the real near-term danger is the newsfeed.モデルと学習Deep LearningAI research+3
10:34EN
Lex Fridmanポッドキャスト · 2 人Why Deep Learning Needs Rules: Chollet on Interpolation, Abstraction and Hybrid AIゲスト François Chollet · ホスト Lex FridmanFrançois Chollet explains why neural networks only interpolate between points they have seen, and why the best AI systems pair them with symbolic rules.モデルと学習機械学習の基礎Deep Learning+2
11:59EN
Lex Fridmanポッドキャスト · 2 人From a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Beゲスト François Chollet · ホスト Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.オープンソースとコミュニティDeep LearningOpen-source ecosystems+3
11:23EN
Lex Fridmanポッドキャスト · 2 人Science Is a Self-Improving System That Isn't Exploding: Chollet on the Limits of an Intelligence Explosionゲスト François Chollet · ホスト Lex FridmanFrançois Chollet uses the history of science to argue that recursive self-improvement meets exponential friction and yields linear, not explosive, progress.モデルと学習AGI(汎用人工知能)AI research+3