zlacker

>>nickru+(OP)
Sam and Ilya have recently made public statements about AGI that appear to highlight a fundamental disagreement between them.

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.

>>jumplo+pc
>Ilya claims the transformer architecture, with some modification for efficiency, is actually sufficient for AGI.

I thought this guy was supposed to know what he's talking about? There was a paper that shows LLMs cannot generalise[0]. Anybody who's used ChatGPT can see there's imperfections.

[0] https://arxiv.org/abs/2309.12288

>>cedws+XM
Humans don't work this way either. You don't need the LLM to do the logic, you just need the LLM to prepare the information so it can be fed into a logic engine. Just like humans do when they shut down their system 1 brain and go into system 2 slow mode.

I'm in the definitely ready for AGI camp. But it's not going to be a single model that's going to do the AGI magic trick, it's going to be an engineered system consisting of multiple communicating models hooked up using traditional engineering techniques.