No.  I'm saying that the large Transformer models are a symptom of the
centralization of monopoly rents in the hands of people who have no
business allocating capital, let alone allocating capital in ways that
permits them to cripple advances in the social sciences that might expose
their monopoly rents as corrupting allocation of capital -- and, instead,
raise red-herrings about "race" and "gender" and "xenophobia", ad nauseum.

Where is Google's big investment in sparse matrix multiplication hardware,
for example?  Why the reliance on dense models when it is known that's not
how the brain works?

Doesn't Google have enough cash lying around to do something along these
lines?

And why the emphasis on "big" models when it is known that minimizing the
size of the algorithm that outputs the data is the optimal model selection
criterion?  Might it have anything to do with trying to HIDE that ground
truth of AGI by throwing vast amounts of money around that they shouldn't
have in the first place?

And, finally, there is your misconception that Transformers are, in some
sense, recurrent -- a misconception advanced by Google's own paper titled
"Attention Is All You Need", leaving you here to do their dirty work for
them in your Google induced brain fog.



On Thu, Dec 23, 2021 at 8:19 PM <[email protected]> wrote:

> Oh, are you saying that these large Transformer models are so truthy that
> the people aren't allowed to see the truth in them?
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