Exactly what I said: AGI is not enough. We need SUPER-AGI. But that will 
also not be enough. We will need SUPER-DUPER-AGI. And so on until the 
effect of the drugs wear off and we calm down from the hallucinations.

On Sunday, 22 December 2024 at 15:28:59 UTC+2 John Clark wrote:

> On Sun, Dec 22, 2024 at 3:30 AM PGC <[email protected]> wrote:
>
> *> While it’s true that scaling a model’s compute often improves 
>> performance—e.g., O3 going from 75.7% to 87.5%—that alone doesn’t prove 
>> that we’ve achieved “fundamental AGI.”*
>
>
> *Francois Chollet is the man who invented the ARC test and he did 
> everything he could think of to make his test as difficult as possible for 
> a large language model. Back in the olden days of late 2023 when the best 
> AIs only got scores in the single digits on the ARC test, Chollet said that 
> if a machine ever got higher than 75% on his test then it should be 
> considered an AGI. But when a machine did exactly that he immediately moved 
> the goal post to some vague unspecified spot. *
>
> *And it's not just the ARC test, ALL the previous benchmarks that were 
> supposed to determine when AGI has arrived are no longer of any use because 
> they've all been maxed out. We need new more difficult benchmarks, not to 
> compare AIs to humans because to my mind that debate is over, but in order 
> to compare one AGI to another AGI.*
>  
>
>>
>> *> In machine learning history, many benchmarks have been surpassed by 
>> throwing more resources at them, yet models often fail when faced with 
>> novel tasks.*
>
>
> *Long before O3 came out it was obvious that computers were getting much 
> better at being good at generalize tasks for example, back in the stone age 
> of 2017 starting with zero knowledge and with just a few hours of self 
> study, AlphaZero, could become good enough to beat the most talented human 
> at chess and GO and shogi and ANY two player zero sum game. *
>
>  
>
>> *> **I’ve personally seen kids under age ten handle about 80 to upwards 
>> of 90% of the daily “play” tasks (besides acing the 6 problems on the 
>> landing page) on the ARC site once they grasp the basic rule of finding the 
>> rule,*
>
>
>  
> *Once they grasp the basic rule of finding the rule yes. The first and 
> probably the most difficult step very young children have in taking the ARC 
> test is figuring out what question the ARC test is asking, only after they 
> understand the question can children start thinking about an answer. And 
> the more they play the ARC test the better they get at it. Exactly the same 
> thing could be said about O3. *
>  
>
>> *> As for the claim that François Chollet “moved the goalpost” once AI 
>> systems approached the 75% mark, it’s common in AI research for benchmarks 
>> to evolve precisely because scoring high on an older test doesn’t 
>> necessarily reflect deep, generalizable reasoning.*
>
>
> *Alan Turing originally said that if you were only communicating over a 
> teletype machine and a computer could convince you that you were 
> communicating with another human being then that computer should be 
> considered as intelligent as a human being. Computers blew past that 
> benchmark about two years ago. *
>
> *Douglas Hofstadter, the author of my all-time favorite book Godel Escher 
> Bach, said that if a computer could beat a Chess grandmaster then it would 
> be intelligent, but he didn't expect that to happen in his lifetime. 
> However it happened in 1997. Hofstadter now thinks computers are genuinely 
> intelligent, and he's very frightened. *
>
> *Then people said Chess was not a good benchmark but the game of GO was 
> because it was astronomically more complicated than Chess, but a computer 
> beat the best human GO player in 2016.*
>
> *Then people said that for a computer to be an AGI it would need to be as 
> good as most people at most things. And I think we're already there.*
>
> *Then people said for a computer to be an AGI it would need to be better 
> than EVERY human being at EVERYTHING, but that's not Artificial General 
> Intelligence, that's Artificial Superintelligence. And we're almost there. *
>
>
>
>
>
>
> *The pattern is always the same.A computer will never be able to do X.And 
> then a computer does X.Well OK but a computer will never be able to do 
> Y.And then a computer does Y.And then it's obvious they will soon run out 
> of letters of the alphabet.  *
>
> *John K Clark    See what's on my new list at  Extropolis 
> <https://groups.google.com/g/extropolis>*   
> 5n3    
>

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