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by rybosworld18 hours ago |
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upvoteby EthanHeilman18 hours ago|
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Does RSI actually mean anything specific anymore? RSI, AGI, at this point seem like buzzwords. Sure AGI has definition that are measurable, say "better than 95% of humans on 95% of intellectual tasks" but if we used that definition we already have AGI and almost no one thinks we have achieved AGI. We use AIs to train AIs which we use to train AIs, why is that not RSI? How much human intervention means that is not RSI?
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upvoteby ctolsen17 hours ago|
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So few terms in AI are well defined. We will get ASI via AGI because of RSI but neither of those three things have any definition except pure vibes.

I struggle with the argument that RSI doesn't already exist like you say, it's existed since before the term LLM (hey, one that can be defined!) was common parlance. Though the biggest use for those is not superintelligence, it's to serve you ads and get your kids addicted to TikTok.

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upvoteby computably16 hours ago|
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Narrow pre-LLM models that spit out content and ad recommendations have never been capable of also suggesting, let alone implementing, self-improvements.
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upvoteby ctolsen11 hours ago|
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The systems that train them do.
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upvoteby marcosdumay17 hours ago|
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RSI has always being a well defined name, and you can only have RSI if you have an intelligence capable or creating itself.

It has technically existed for a long time (for longer than the name), but only on academical applications for extremely limited intelligences that could only create something like themselves. And that is still the only form that exists today.

It was never powerful enough to optimize ads distribution, and all the claims people are pushing around today are plain bullshit.

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upvoteby MASNeo16 hours ago|
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Clearly well-defined must live in a probability bracket. Only humans demand exactitude.
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upvoteby computably16 hours ago|
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> say "better than 95% of humans on 95% of intellectual tasks" but if we used that definition we already have AGI and almost no one thinks we have achieved AGI

What matters isn't 95% of humans, it's 95% of actual professionals. Benchmarking an AI accountant against people with zero accounting experience is worse than worthless.

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upvoteby jephs18 hours ago|
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Yeah, this is absolutely not what anyone reasonable is thinking about when they say recursive self-improvement.

I'd say it's much closer to the concept of continual learning, but I'm only a few pages deep and haven't groqued it fully yet.

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upvoteby addag17 hours ago|
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Agreed, what I understand from RSI would be models creating new models, or at least upgrading their own weights/architecture. It does not seem to be the case here.
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upvoteby xidong_wu14 hours ago|
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This paper optimizes a controller/policy which will be used to agent itself in the next round
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upvoteby owenshen2413 hours ago|
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the use of the phrase here feels very clickbaity tbqh
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upvoteby IAmGraydon16 hours ago|
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According to industry leaders, we currently have AGI and RSI in the last month or so. Of course, we've seen zero evidence of any of this and have to take their word for it.
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