A lot of the excitement around LLMs is due to confusing skill/competence 
(memory based) with the unsolved problem of intelligence, its most 
optimal/perfect test etc. There is a difference between completing strings 
of words/prompts relying on memorization, interpolation, pattern 
recognition based on training data and actually synthesizing novel 
generalization through reasoning or synthesizing the appropriate program on 
the fly. As there isn't a perfect test for intelligence, much less 
consensus on its definition, you can always brute force some LLM through 
huge compute and large, highly domain specific training data, to "solve" a 
set of problems; even highly complex ones. But as soon as there's novelty 
you'll have to keep doing that. Personally, that doesn't feel like 
intelligence yet. I'd want to see these abilities combined with the program 
synthesis ability; without the need for ever vaster, more specific 
databases etc. to be more convinced that we're genuinely on the threshold.

John, as you enjoyed that podcast with Aschenbrenner, you might find the 
following one with Chollet interesting. Imho you cannot scale past not 
having a more advanced approach to program synthesis (which nonetheless 
could be informed or guided by LLMs to deal with the combinatorial 
explosion of possible program synthesis).

https://www.youtube.com/watch?v=UakqL6Pj9xo
On Friday, June 14, 2024 at 7:28:50 PM UTC+2 John Clark wrote:

> Sabine Hossenfelder came out with a video attempting to discredit Leopold 
> Aschenbrenner. She failed. 
>
> Is the Intelligence-Explosion Near? A Reality Check 
> <https://www.youtube.com/watch?v=xm1B3Y3ypoE&t=553s>
>
> I wrote this in the comment section of the video: 
>
> "You claim that AI development will slow because we will run out of data, 
> but synthetic data is already being used to train AIs and it actually 
> works! AlphaGo was able to go from knowing nothing about the most 
> complicated board game in the world called "GO" to being able to play it at 
> a superhuman level in just a few hours by using synthetic data, it played 
> games against itself. As for power, during the last decade the total power 
> generation of the US has remained flat, but during that same decade the 
> power generation of China has not, in just that same decade China 
> constructed enough new power stations to equal power generated by the 
> entire US. So a radical increase in electrical generation capacity is 
> possible, the only thing that's lacking is the will to do so. When it 
> becomes obvious to everybody that the first country to develop a super 
> intelligent computer will have the capability to rule the world there 
> will be a will to build those power generating facilities as fast as 
> humanly possible. Perhaps they will use natural gas, perhaps they will use 
> nuclear fission."   
>
>   John K Clark    See what's on my new list at  Extropolis 
> <https://groups.google.com/g/extropolis>
> hid
>
>
>
>>

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