On Sat, Apr 8, 2023 at 8:19 AM Russell Standish <li...@hpcoders.com.au>
wrote:


>
>
>
>
> *> Don't forget it requires a society of hundreds of millions of human
> level intelligences to make a GPT-4. And it take a human level intelligence
> some 20 years in order to make meaningful contributions to something like
> GPT-4.Progress will therefore continue to be be exponential for some time
> to come. Only when super human intelligence is able to design itself will
> hyperbolic progress begin. *
>

Although certainly extremely helpful most areas of science require more
than just a brilliant theoretician, they need experimental evidence, and so
new knowledge in those fields will not grow at the same explosive rate as
computer intelligence does; however there are two fields that do not
require experiment evidence and so should grow as rapidly as intelligence
does, mathematics and software development, including smart software they
can write even smarter software. And there are mountains of data on physics
and biology that already exist and they're almost certainly unknown gems
hiding in there that nobody has spotted, but with new mathematical
techniques and better software they could be found.

*> It will also need to better the energy efficiency of human brains, and
> it is still orders of magnitude away from that.*


Take a look at this video, it talks about Nvidia's new chip, with a data
center using it an AI system that had required 35 MW to run will only need
5 MW to do the same thing.

Nvidia's HUGE AI Breakthrough is Bigger Than ChatGPT
<https://www.youtube.com/watch?v=cJROlT_ccFM>

By the way, I think mathematicians and software developers will be the
first to lose their jobs, perhaps they could be retrained as coal miners.

John K Clark    See what's on my new list at  Extropolis
<https://groups.google.com/g/extropolis>
8fi

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