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Well based on what I'm reading, the OP's intent is that, not all (hence 'fully') validation, if not most of, can be done in-silico. I think we all agree that and that's the major bottleneck making agents useful - you have to have human-in-the-loop to closely guardrail the whole process.

Of course you can get a lot of mileage via synthetically generated CoT but does that lead to LLM speed up developing LLM is a big IF.

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tomp 7 hours ago | parent [-]

No, the entire point of this article is that when you get to self-improving AI, it will become generally intelligent, then you can use that to solve robotics, medicine etc. (like a generally-intelligent baby can (eventually) solve how to move boxes, assemble cars, do experiments in labs etc. - nothing special about a human baby, it's just generally intelligent).

	▲	Jianghong94 6 hours ago \| parent \| next [-]
		Not only does the article claim that when we get to self-improving ai it becomes generally intelligent, it's assuming that AI is pretty close right now: > OpenBrain focuses on AIs that can speed up AI research. They want to win the twin arms races against China (whose leading company we’ll call “DeepCent”)16 and their US competitors. The more of their research and development (R&D) cycle they can automate, the faster they can go. So when OpenBrain finishes training Agent-1, a new model under internal development, it’s good at many things but great at helping with AI research. > It’s good at this due to a combination of explicit focus to prioritize these skills, their own extensive codebases they can draw on as particularly relevant and high-quality training data, and coding being an easy domain for procedural feedback. > OpenBrain continues to deploy the iteratively improving Agent-1 internally for AI R&D. Overall, they are making algorithmic progress 50% faster than they would without AI assistants—and more importantly, faster than their competitors. > what do we mean by 50% faster algorithmic progress? We mean that OpenBrain makes as much AI research progress in 1 week with AI as they would in 1.5 weeks without AI usage. To me, claiming today's AI IS capable of such thing is too hand-wavy. And I think that's the crux of the article.
	▲	polynomial 6 hours ago \| parent \| prev [-]
		You had me at "nothing special about a human baby"