AGI: What's real, what's not.

Even with speakers on the sense of the term AGI, and how it relates to machine learning in practice, the current state of the art, LLMs with all their extensions, innovations, multimodality and robotics. In short, a properly holistic approach to assessing the sense of generality in intelligence.

Main themes and topics:

- What operational definitions of intelligence or approximations thereof have served us thus far?

- What might be missing? What are vital ingredients of intelligence?

- How does the current state of the art in LLMs and beyond relate to these ideas?

- Generality: some say it exists, others deny it. What can we say about it and implementing it? What do we know from nature?

More details on location and time TBA.