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Re19: Nature Is Not F-ing Around

Retraice^1

What we think now is going to matter a lot to our future.

Air date: Monday, 10th Oct. 2022, 2:30 AM Eastern/US.

Simplifying the hypotheses

A pile of numbers is a vector. But treating the hypotheses as vectors is hard.

H12: Computer control

If there's one hypothesis that wraps up all the other ones, maybe it's this:

Computers,

which are chain-reaction controllers,

and which make AI handling of information possible,

and which are inherently vulnerable to hacking,

are causing some humans to know others better than they know themselves,

and thereby to control them,

though computer-controlled machinery could take control

if the motivation to control,

which humans have,

were to occur, naturally or by design,

in the chain reactions.

Nature

Here we mean the `nature' of the cosmologist or physicist, but which greatly overlaps with the `God(s)' of religion.

We are in something that is very, very serious.

GNR, GCR, B&R

Where do we see that nature is not f-ing around?

GNR: genetics, nanotech a robotics.^2

GCR: global catastrophic risks.^3

B&R: blue & red, the colors of two-party politics.

What's GOOT matters most to the future

Some of the past and present things going on matter way more to the future, to our future selves, than all the rest.

And it is almost never obvious what the truly significant things are while they're happening. In retrospect things become clear.

Getting it wrong

The importance of what's going on out there becomes most obvious when we get things wrong.

It's going to matter a lot to our future selves, and the future selves of others, what we did or didn't know about what was going on in our time.

_

References

Bostrom, N., & Cirkovic, M. M. (Eds.) (2008). Global Catastrophic Risks. Oxford University Press. ISBN: 978-0199606504. Searches: https://www.amazon.com/s?k=978-0199606504 https://www.google.com/search?q=isbn+978-0199606504 https://lccn.loc.gov/2008006539

Kurzweil, R. (2005). The Singularity Is Near: When Humans Transcend Biology. Penguin. ISBN: 978-0143037880. Searches: https://www.amazon.com/s?k=978-0143037880 https://www.google.com/search?q=isbn+978-0143037880 https://lccn.loc.gov/2004061231

Footnotes

^1 https://www.retraice.com/retraice

^2 Kurzweil (2005) chpt. 5.

^3 Bostrom & Cirkovic (2008).