Will @NathanpmYoung live to 1000 due to AGI? And if not, why?

Plus

Ṁ13k

3000

ALL

18%

Dies before AGI has been developed

21%

Accident / killed by AGI or rogue AI

36%

Natural death post-AGI / AGI does not solve aging quickly enough

Dies for other reason post-AGI

Chooses not to live to 1000

17%

Makes it to 1000

https://x.com/NathanpmYoung/status/1435176381143470080
"the year when longevity finally takes off [...] will be just after AGI (if good) or never (if bad or Xrisk)"

Here, AGI (Artificial General Intelligence) is defined as a system clearly surpassing human capabilities in most economically valuable tasks. Specifically for this market, this must include all (or almost all) tasks related to aging research.

This is a follow-up to this market:

https://manifold.markets/Sinclair/will-nathanpmyoung-live-to-1000

Get

1,000

and

1.00

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According to this model, the probabilities should be:

Dies before AGI: 13%
Dies from AGI: ~35%
Natural death post-AGI / AGI does not solve aging quickly enough: ~3%
Everything else depends on cruxes around existential risk post agi and whether one would choose to live, but my guesses are:
Dies for other reason post AGI: ~14%
Chooses not to live: ~5%
Makes it to 1000: ~30%

'natural death post AGI' option presumably doesn't include if he gets cryogenically frozen and then later revived, since he could then live a thousand years?

@Aleph I think for edge cases like cryonics or mind uploading this market should follow the original market (https://manifold.markets/Sinclair/will-nathanpmyoung-live-to-1000), to keep the two markets comparable

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