On Monday, October 21, 2024, at 10:06 AM, Matt Mahoney wrote:
> But LLMs are not taking our jobs because only a tiny fraction of the 10^17
> bits of human knowledge stored in 10^10 human brains (10^9 bits per person,
> assuming 99% is shared knowledge) is written down for LLMs to train on. LLMs
> aren't taking your job because the knowledge it needs is in your brain and
> can only be extracted through years of speech and writing at 5 to 10 bits per
> second. There is only about 10^13 bits of public data available to train the
> largest LLMs. When people see that job automation is harder than we thought,
> the AI bubble will pop and investment in risky, unproven technology like
> Hyperon will dry up.
I'm just playing devil's advocate here, but is one workaround for this issue to
just develop AI that is better than humans at a very specific task: researching
and developing AI itself? Then, at that point, it's just a matter of time
before the automated AI based R&D search algorithm develops AGI. I can't
estimate how long that would take (could take decades), but at least the
process is on 'autopilot' at that point.
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Artificial General Intelligence List: AGI
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