On Tue, Aug 15, 2023 at 3:58 PM <[email protected]> wrote:

> ...
> But I guess, even if it is smart enough to say what you say I guess GPT-4
> seems to know it is the BETTER way, perhaps maybe? :)
>

That's what I meant in the introductory paragraph when I wrote:

> ... apply LLMs to improve ML resulting in profound societal
> transformations including AGI but already GPT4 is more intelligent on the
> key issue of allocation of capital in ML and no one in the position to
> allocate capital is paying any attention to what it says (below)...


Here GPT4 is handing them the way to improve GPT4 on a silver platter.
Unfortunately, the delicious food is under a silver cloche that must be
removed before benefitting from the chef's work.  That cloche is simply
this:

"But... but... but... how are you going to losslessly compress so many
> terabytes of data????"


The answer, of course, is as I wrote previously about The Hutter Prize for
Lossless Compression of Human Knowledge:


>    - Every programming language is described in Wikipedia.
>
>
>    - Every scientific concept is described in Wikipedia.
>
>
>    - Every mathematical concept is described in Wikipedia.
>
>
>    - Every historic event is described in Wikipedia.
>
>
>    - Every technology is described in Wikipedia.
>
>
>    - Every work of art is described in Wikipedia -- with examples.
>
>
>    - There is even the Wiki*data* project that provides Wikipedia a
>    substantial amount of digested statistics about the real world.
>
> Are you going to argue that *comprehension* of all that knowledge is
> insufficient to *generatively* speak the *truth *consistent with all that
> knowledge -- and that this notion of "truth" will not be *at least* comparable
> to that *generatively* spoken by large language models such as ChatGPT?


This is why I say the frontier of ML research is *data efficiency*.  We
haven't even begun to tap the  knowledge available in a tiny fraction of
the LLM corpora.  Worse, we haven't even begun to recognize that by being *data
obese* we are hiding the degree to which LLMs are just plain *dumb*.

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