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AI 2027

(ai-2027.com)
949 points Tenoke | 1 comments | | HN request time: 0.282s | source
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Vegenoid ◴[] No.43585338[source]
I think we've actually had capable AIs for long enough now to see that this kind of exponential advance to AGI in 2 years is extremely unlikely. The AI we have today isn't radically different from the AI we had in 2023. They are much better at the thing they are good at, and there are some new capabilities that are big, but they are still fundamentally next-token predictors. They still fail at larger scope longer term tasks in mostly the same way, and they are still much worse at learning from small amounts of data than humans. Despite their ability to write decent code, we haven't seen the signs of a runaway singularity as some thought was likely.

I see people saying that these kinds of things are happening behind closed doors, but I haven't seen any convincing evidence of it, and there is enormous propensity for AI speculation to run rampant.

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1. sqw3rl ◴[] No.43709628[source]
the argument in the paper seems to be that coding ability is what leads to the tipping point. Eventually human-level (then superhuman) coders augment the AI research process until an AI research agent is developed, and it's exponential from there.

We know they are developing more advanced models, and we know they're secretive about it, but how advanced?... ¯\_(ツ)_/¯