1:35 Screwdriver hands: how Giuseppe became a scientist.
6:07 Reinforcement learning (RL) explained to Giuseppe's grandma.
9:01 Model-based reinforcement learning: how to fry an egg.
10:45 The three components of model-based reinforcement learning: the actor, the model, and the planner.
16:29 Planning = thinking: ham & eggs and Google map
19:01 RL is responsible for collecting its own data
22:05 Vervaeke's first two Ps: propositional (GPT) and procedural (RL)
24:05 Fear from AI: the paperclip scenario, evil, indifference, and foolishness
28:19 Should we add agency into AI? Can we socialize AI as we do with kids?
32:22 Do we need to embody AI to align it? Can GPT bike? Is textual knowledge everything?
36:28 Why to aspire to the dream of creating AI? 1) Why not :)? 2) Curiosity. 3) To understand ourselves better.
41:52 How AI changed our lives. Recommendation engines, addiction, jujitsu, conspiracy theories, the attention economy.
49:12 Open source large language models. AI as a mirror. Individuation of LLMs.
51:16 Putting AI into things: they will individuate.
52:56 Vervaeke's 2nd person Turing test. Let GPTs talk to each other.
54:37 Could AI manipulate us?
56:11 Closing.
I, scientist blog: https://balazskegl.substack.com
Twitter: https://twitter.com/balazskegl
Artwork: DALL-E
Music: Bea Palya https://www.youtube.com/channel/UCBDp3qcFZdU1yoWIRpMSaZw
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