alt Hacker NewsAI researchers debate how close we are to recursive self-improvement
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Can someone define “improvement” in this context? This concept feels like a buzz word otherwise.
What do these discussions even matter when the words don't matter?
How many times has AGI been declared already? A bunch of people (e.g. Jensen Huang) have called Astra AGI, for example.
The goal posts get moved, everybody's hustling, lying, inventing new buzzwords, doing mental gymnastics, and it's all just tiring.
Just show me the results, and let the proof be in the pudding.
Recursive self-improvement will ultimately be a problem of money. It's a very big bill and AI companies need to start thinking in terms of how they will accumulate cheap and free energy, because merely paying for compute will no longer be enough. Money is the bottleneck. The future requires companies that are post-money.
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We are already there. Current AI is definitely capable of collecting new data and start training on that data to get a better model.
After using frontier models it’s hard to understand why anyone would think this is the path to AGI. Self improving models will likely have limited ability and returns. There may be breakthroughs that enable more general self improvement but the current state of frontier models isn’t that.
People seem to expect a sudden shift with "self-improvement", but don't AIs already improve themselves via training? What is there to improve?
From what I'm experiencing, we have recursive self improvement that can find local maxima, I'm not seeing really strong evidence of unguided RSI that finds the true optimal.