As I explained in my 2013 paper ( https://mattmahoney.net/costofai.pdf
), the complexity of the economy that AGI ought to automate is on the
order of 10^17 bits. To get that you need to train on 100,000 TB of
text. Current LLMs are trained on 15 TB of text because that's all you
can suck off the Internet. Given that we don't have the technology to
scan brains at nm resolution, the only way to get this data is through
slow channels like speech and writing at the cognitive limit of 5 to
10 bits per second. So you need to spend on the order of $100 trillion
(roughly 1 year global GDP) at the current global average wage rate of
$5 per hour. As wages go up, so do your costs.

10^17 bits is the capacity of human long term knowledge (10^9 bits
based on long term memory tests for words and pictures) x 10^10 people
(world population) x 1% (the fraction of lifetime earnings that it
costs to replace an employee, which I used to estimate the fraction of
your knowledge that is not known to anyone else or written down).
That's 100 PB at a compression ratio of 1 bit per character, or likely
more because the compression ratio improves with the size of the data
set.

This is the reason that AI hasn't replaced your job. The knowledge you
need to do your job is not written down. The cost of your time to
train your replacement is roughly a year whether your replacement is
carbon or silicon based. That cost will go up for higher paying jobs.

If somehow we manage to double human knowledge every 3 years, then AGI
is 40 years away.

On Mon, Sep 16, 2024 at 2:24 PM Alan Grimes via AGI
<agi@agi.topicbox.com> wrote:
>
> The question that seems central to all of this seems to be why the
> entire AI industry is so pathetic that OpenAI needs to give it a kick in
> the pants every 8 months or so? I mean you can frame this question in
> several different ways, and approach it from a dozen different angles.
> At root it doesn't seem to make any cents at all but the underlying fact
> keeps re-asserting itself like clockwork and demands an explanation....

-- 
-- Matt Mahoney, mattmahone...@gmail.com

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