Pardon my last empty response.

On Fri, Sep 8, 2023, 12:16 AM Danko Nikolic <[email protected]> wrote:

> Hi Matt,
>
> If the no-free-lunch theory applies to AGI, then we are good.
>
> Danko
>

The no free lunch theorem can be interpreted to say that learning is
impossible because all theories are equally likely. That is wrong. What we
use in practice (because it works) is Occam's Razor. Theories with shorter
description lengths are more likely. No other probability distribution over
a countably infinite set is possible.

Dr. Danko Nikolić
> www.danko-nikolic.com
> https://www.linkedin.com/in/danko-nikolic/
>

Neural networks are adaptive, right?

-- I wonder, how is the brain able to generate insight? --

Insight is what a search algorithm feels like. It is part of our survival
instinct. Positive reinforcement of computation, input, and output gives us
the sensations of consciousness, qualia, and free will. Without them, life
wouldn't be worth living and you would have fewer offspring.

We know they are illusions because we can't objectively define them. The
big tech companies that are actually making progress in AI know that what
the brain is doing is computation, not magic.

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