the grand-grandson of George Boole and 2018 Turing award winner
the timestamps were generously created by @carson_tang
2:45 - why mainstream AI in the 1980s shunned neural networks
3:21 - Hinton believed in neural networks because the brain worked this way
4:31 - two different paths to intelligence
6:15 - lack of data and compute that impeded deep learning's progress
8:57 - the start of deep learning in 2006
10:04 - two big deep learning developments: speech recognition at Google and object recognition at University of Toronto
10:49 - how object recognition works in layman's terms
15:47 - breakthroughs in object recognition influencing the AI community
18:28 - why Hinton likes the company Cohere
19:20 - biological brains vs digital brains
21:39 - ChatGPT as an "idiot savant" with a lack of understanding of truth
24:56 - how society should handle this new AI
30:52 - self-healing minefield proposed by the government
31:43 - how to create an effective autonomous solder and the alignment problem
33:12 - are large language models "just autocomplete"? Are humans "just autocomplete"?
33:52 - translating "The trophy would not fit in the suitcase because it was too big" into French. English-French translation and the insights it provides into LLMs' understanding of the world
35:50 - computers coming up with new ideas for itself
37:00 - AI displacing jobs
38:15 - how big of a revolution is AI?
40:37 - is AI sentient?