Question 1

How should businesses prepare for AGI, and what comes after chatbots and agents?

Accepted Answer

_The practical move is to avoid overcommitting and to build toward agents with persistent memory rather than one-shot chatbots._

> The right answer is not to overcommit to any particular technology at a particular moment, because if the singularity idea is at all real, we're all going to have to pivot and re-pivot. What's coming is agents with persistent memory that reason on that memory and build their own world model as they go. An agent that remembers everything it ever did feels less like a query loop and more like a personal assistant you actually have a relationship with.

Source: [Rethinking the AGI Race, with Benjamin Goertzel (eCornell Keynote)](https://ecornell.cornell.edu/keynotes/view/K052826/)

Question 2

Why does physical AI need real physical-world data?

Accepted Answer

_Models that act on the physical world are only as good as the real-world data they are trained on._

> Physical AI is only interesting when you train it on physical-world data. All models need real data, and the physical world models need real-world data. So in biology, you need a wet lab with pipettes and a vivarium with mice, and you have to generate high-quality data, because otherwise it's garbage in, garbage out.

Source: [Tomorrow's Medicine, with Cyriac Roeding (eCornell Keynote)](https://ecornell.cornell.edu/keynotes/view/K052126/)

Q&A, world models

How should businesses prepare for AGI, and what comes after chatbots and agents?

Why does physical AI need real physical-world data?