Training data has to be of human origin. The purpose of AGI is to automate
labor, because nothing else can justify the cost. AGI requires a model of
human behavior, which has to be obtained by observing humans and learning
to predict their actions. Human long term memory is 10^9 bits and can only
be communicated at 5-10 bits per second. That is 8 hours per day for 10-20
years.

10^9 bits is Tom Landauer's estimate from human long term memory recall
tests for words and pictures. Image recall error rates are consistent with
a model where a picture viewed for 5 seconds is represented in memory as
about 30 bits of features. Written English is 1 bit per character. In my
2013 Cost of AI paper I estimated that 99% of memories are shared or
written down, which implies the economy has a complexity of 1% of 8 billion
minds, or 10^17 bits. Depending on skill level, it costs about 1% of
lifetime earnings to replace an employee.

The biggest LLMs are trained on about 10^14 bits. That's why you still have
a job.

On Thu, Dec 12, 2024, 5:53 PM Boris Kazachenko <cogno...@gmail.com> wrote:

> All of technology is "synthetic data". And biology. And chemistry. Remove
> synthetic data and all you have is hydrogen. Or Plank constant.
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