I, scientist with Balazs Kegl

00:00:00 Intro. Bogdan's journey through the French system towards PhD in AI. Inspiration by early DeepMind papers, research on LSTM and other recurrent architectures. 00:05:29 Oxford postdoc between ML and Neuroscience, theory of mind. Turn towards safety. Influence of Nick Bostrom's 2014 book Superintelligence https://en.wikipedia.org/wiki/Superintelligence:_Paths,_Dangers,_Strategies. 00:07:29...

00:00:00 Intro. 00:01:34 Jonas' story. Math, physics towards computer science, AI, and robotics. 00:05:09 Embodiment in intelligence. 00:07:25 LLMs in robots. Should we put LLMs in robots? Can we teach them as kids if they can speak? Will they develop their personalities depending on their unique experience? Should we add episodic memory to them? 00:19:02 Relevance realization. How to filter impor...

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:...