Giuseppe Paolo

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 map19:01 RL is responsible for collecting its own data22:05 Vervaeke's first two Ps: propositional (GPT) and procedural (RL)24:05 Fear from AI: the paperclip scenario, evil, indifference, and foolishness28:19 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.comTwitter: https://twitter.com/balazskeglArtwork: DALL-EMusic: Bea Palya https://www.youtube.com/channel/UCBDp3qcFZdU1yoWIRpMSaZw Hosted on Acast. See acast.com/privacy for more information.