Sam claims LLMs aren't sufficient for AGI (rightfully so).
Ilya claims the transformer architecture, with some modification for efficiency, is actually sufficient for AGI.
Obviously transformers are the core component of LLMs today, and the devil is in the details (a future model may resemble the transformers of today, while also being dynamic in terms of training data/experience), but the jury is still out.
In either case, publicly disagreeing on the future direction of OpenAI may be indicative of deeper problems internally.
How the hell can people be so confident about this? You describe two smart people reasonably disagreeing about a complicated topic