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AlexErrant 2 hours ago

My main issue with this timeline is that AI still has trouble transitioning to the real world. It predicts for 2029:

> There are swarms of insect-sized drones that can poison human infantry before they are even noticed; flocks of bird-sized drones to hunt the insects; new ICBM interceptors, and new, harder-to-intercept ICBMs. The rest of the world watches the buildup in horror, but it seems to have a momentum of its own.

Does anyone really predict insect drones _in production_ 3 years from now, to the degree that we need bird drones to hunt the insect drones? How the hell are these things powered?

Lean/math/millenienium prizes are "grindable" [0]. Wake me up when AI is making order-of-magnitude improvements in ungrindable real world tasks like batteries, hypersonic engine manufacturing, and stealth/silent motors that you can't hear.

[0]: https://www.dwarkesh.com/p/the-next-paradigm

AlexCoventry 19 minutes ago | parent | next [-]

I think the idea is that AI itself is going to massively accelerate its own development, and AI with real-world competence is coming very soon. At the rate things are going, it wouldn't suprise me at all if we had mass production of AI-designed systems in the next six months, actually.

pizza234 an hour ago | parent | prev [-]

> Does anyone really predict insect drones _in production_ 3 years from now

The industrial expansion timelinen as described in AI 2027 is way too compressed; I don't think any AI doomer believes that. The dynamics are plausible though, even without China stealing the weights.

AlexErrant 15 minutes ago | parent [-]

Literally 2 days ago:

> The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt.

https://x.com/hilbertspaess/status/2097476203863224394

> The dynamics are plausible

Please elaborate: what dynamics? This is rather vague. My point is that AI can't grind real world physics/chemistry/engineering. What dynamics are in play here?