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Re50: What About AI Though? (WAAIT)

Retraice^1

Remembering the big thing that's bigger than all the other big things.

Air date: Monday, 14th Nov. 2022, 11:00 PM Eastern/US.

AI, at parties, in three dimensions

Paying attention to AI leads to two basic results: the sense that AI is in everything', and then an over-emphasis on some particular aspect of AI, a collapse into specialization.^2 And if it isin everything', is AI `at parties', maybe in the music, or in the courtship?^3 If it is, it would make things more predictable, which businesses and governments like (for purposes of optimizing themselves toward their goals), and which humans like (for the same reasons, but only to a point).

`What about AI?' has a sort of acid-test way of stripping any topic down to the essential parts that are relevant to a hyper-rational phenomenon (e.g. AI itself).^4

Answers to the question can be broken down into three dimensions:

  1. better, worse (value);

  2. Life can be so good,^5 and so bad.^6 How does AI affect these two ends of the spectrum?
    Side note: If we can look after small groups, we can look after all humans. (Right? Should be, anyway.)

  3. We need AI to see and do what we can't:
    o We can't do all the math, we can't operate all the machinery.
    o We are all mostly unaware of what's going on, around us and out there. We can't see it.
    o AI is good at `seeing' in ways that we aren't.^7

  4. now, later (time): AI has affected the past, present, and will affect the future.

  5. here, there (space): AI affects things close and far.

What is AI, again?

  • physically:
  • algorithms (more refined; precise and improving on imprecise);
  • Turing machine, computer-science-based limits?
  • hardware (better, more pervasive; sensors, processors);
  • cybernetics, control-theory-based limits?
  • inventors (highly incentivized engineers);^8
  • controllers (whoever can play the old power games best).^9
  • prediction machines;^10
  • mind-environment changers;^11
  • automators;^12
  • autonomous actors;^13
  • pattern detectors;^14
  • Ideas from previous Retraice segments:^15
  • Re6: Interfaces between goals and environments.
  • Re7: Artifacts that absorb goals, and become animate.
  • Re8: Creatures: we should worry about reproduction, communication, control, energy sources, `looking for' things, at least as much as we worry about intelligence.^16
  • Re9: They can already see us, better than we see ourselves.^17
  • Re10: Guessing (intelligence), checking (tests), fighting (battlefields).
  • Re11: Travelers (intensionality?), intelligent things that can go places in time a space.
  • Re22: "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."

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References

Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press. ISBN: 978-1633695672. Searches:
https://www.amazon.com/s?k=978-1633695672
https://www.google.com/search?q=isbn+978-1633695672
https://lccn.loc.gov/2017049211

Brockman, J. (Ed.) (2015). What to Think About Machines That Think: Today's Leading Thinkers on the Age of Machine Intelligence. Harper Perennial. ISBN: 978-0062425652. Searches:
https://www.amazon.com/s?k=978-0062425652
https://www.google.com/search?q=isbn+978-0062425652
https://lccn.loc.gov/2016303054

Brockman, J. (Ed.) (2019). Possible Minds: Twenty-Five Ways of Looking at AI. Penguin. ISBN: 978-0525557999. Searches:
https://www.amazon.com/s?k=978-0525557999
https://www.google.com/search?q=isbn+978-0525557999
https://lccn.loc.gov/2018032888

Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press. ISBN: 978-0300209570. Searches:
https://www.amazon.com/s?k=9780300209570
https://www.google.com/search?q=isbn+9780300209570
https://lccn.loc.gov/2020947842

Dennett, D. C. (1996). Darwin's Dangerous Idea: Evolution And The Meanings Of Life. Simon & Schuster. ISBN: 068482471X. Searches:
https://www.amazon.com/s?k=068482471X
https://www.google.com/search?q=isbn+068482471X
https://lccn.loc.gov/94049158

Dietterich, T. G. (2015). How to prevent an intelligence explosion. (pp. 380-383). In Brockman (2015).

Dyson, G. (2019). The third law. (pp. 31-40). In Brockman (2019).

Gerrish, S. (2018). How Smart Machines Think. The MIT Press. ISBN: 978-0262038409. Searches:
https://www.amazon.com/s?k=9780262038409
https://www.google.com/search?q=isbn+9780262038409
https://lccn.loc.gov/2017059862

Greene, R. (1998). The 48 Laws Of Power. Penguin. ISBN: 978-0140280197. Searches:
https://www.amazon.com/s?k=9780140280197
https://www.google.com/search?q=isbn+9780140280197
https://lccn.loc.gov/98041387

Hoffman, D. (2019). The Case Against Reality: Why Evolution Hid the Truth from Our Eyes. W. W. Norton & Company. ISBN: 978-0393254693. Searches:
https://www.amazon.com/s?k=978-0393254693
https://www.google.com/search?q=isbn+978-0393254693
https://lccn.loc.gov/2019006962

Kissinger, H. A., Schmidt, E., & Huttenlocher, D. (2021). The Age of AI. Little, Brown and Company. ISBN: 978-0316273800. Searches:
https://www.amazon.com/s?k=9780316273800
https://www.google.com/search?q=isbn+9780316273800
https://lccn.loc.gov/2021943914

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

Pinker, S. (2011). The Better Angels of Our Nature: Why Violence Has Declined. Penguin Publishing Group. ISBN: 978-0143122012. Searches:
https://www.amazon.com/s?k=978-0143122012
https://www.google.com/search?q=isbn+978-0143122012
https://lccn.loc.gov/2011015201

Retraice (2020/09/08). Re2: Tell the People, Tell Foes. retraice.com.
https://www.retraice.com/segments/re2 Retrieved 22nd Sep. 2020.

Retraice (2020/10/25). Re6: Interface. retraice.com.
https://www.retraice.com/segments/re6 Retrieved 26th Oct. 2020.

Retraice (2020/10/26). Re7: Artifactual Goals. retraice.com.
https://www.retraice.com/segments/re7 Retrieved 27th Oct. 2020.

Retraice (2020/10/28). Re8: Strange Machines. retraice.com.
https://www.retraice.com/segments/re8 Retrieved 29th Oct. 2020.

Retraice (2020/10/31). Re9: They Can See You. retraice.com.
https://www.retraice.com/segments/re9 Retrieved 31st Oct. 2020.

Retraice (2020/11/02). Re10: Living to Guess Another Day. retraice.com.
https://www.retraice.com/segments/re10 Retrieved 2nd Nov. 2020.

Retraice (2020/11/04). Re11: Travel. retraice.com.
https://www.retraice.com/segments/re11 Retrieved 4th Nov. 2020.

Retraice (2022/10/19). Re22: Computer Control. retraice.com.
https://www.retraice.com/segments/re22 Retrieved 19th Oct. 2022.

Russell, S. (2019). Human Compatible: Artificial Intelligence and the Problem of Control. Viking. ISBN: 978-0525558613. Searches:
https://www.amazon.com/s?k=978-0525558613
https://www.google.com/search?q=isbn+978-0525558613
https://lccn.loc.gov/2019029688

Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson, 4th ed. ISBN: 978-0134610993. Searches:
https://www.amazon.com/s?k=978-0134610993
https://www.google.com/search?q=isbn+978-0134610993
https://lccn.loc.gov/2019047498

Smallberg, G. (2015). No shared theory of mind. (pp. 297-299). In Brockman (2015).

Weizenbaum, J. (1976). Computer Power and Human Reason: From Judgment to Calculation. W. H. Freeman and Company. ISBN: 0716704633. Also available at:
https://archive.org/details/computerpowerhum0000weiz

Yudkowsky, E. (2013). Intelligence explosion microeconomics. Machine Intelligence Research Institute. Technical report 2013-1.
https://intelligence.org/files/IEM.pdf Retrieved ca. 9th Dec. 2018.

Footnotes

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

^2 Men tend to focus as hunters, women tend to scan as gathers; a majority of those involved in thinking about AI as such are men (it seems), hence the collapse into focused specialization. This is obviously just an impression, and only intended as a possible explanation for the specialization over-emphasis tendency. A counterargument would be that it's the economics of modern life that forces specialization, not sex differences. Both can be true, and probably are. Note: Renaissance men and women are not generalists; they're in the middle between specialists and generalists. Generalists have the discipline (really, lack thereof) that leads them to move on before knowing too much about any particular subject.

^3 It occurred to us after the livestream that, since young people interact so much more via their phones, AI is indeed already at' parties andin' the courtship there.

^4 Cf. Dennett on Darwinism as `universal acid', Dennett (1996) chpt. 3; see also Hoffman (2019) pp. 56-57.

^5 Consider the optimists: Pinker (2011); Kurzweil (2005).

^6 Imagine Joseph Stalin but with the technological means of modern China.

^7 Kissinger et al. (2021) pp. 13-17.

^8 Cf. Yudkowsky (2013) pp. 20-21 on the effect of having "faster engineers", i.e. "the hypothetical scenario where the researchers are running on computers."

^9 Retraice (2020/09/08) p. 3 on control. Cf. Greene (1998) and below.

^10 Agrawal et al. (2018).

^11 Russell (2019) pp. 8-9. Humans are also `mind-environment changers' in a sense, if we think of power games and manipulation. Greene (1998).

^12 Crawford (2021) chpt. 2.

^13 Retraice (2020/10/28); Russell & Norvig (2020) p. 1001.

^14 Gerrish (2018) pp. 129-131.

^15 Retraice (2020/10/25); Retraice (2020/10/26); Retraice (2020/10/28); Retraice (2020/10/31); Retraice (2020/11/02); Retraice (2020/11/04); Retraice (2022/10/19).

^16 See Retraice (2020/10/28) and: Dyson (2019) p. 40; Smallberg (2015) p. 299; Dietterich (2015) p. 382. On control, see also Retraice (2020/09/08) p. 3, and Weizenbaum (1976) pp. 124-126.

^17 Cf. Retraice (2022/10/19) on "causing some humans to know others better than they know themselves."

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