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janalsncm • today at 1:27 AM • 1 reply • view on HN

A bit too pessimistic imo. I agree that AI can’t automate things end to end, but a good deal of R&D involves kicking off a training run and babysitting it.

If your training run dies at 1 am and you’re sleeping, you won’t find out about it until the next day. You can lose up to 18 hours of work depending on when it happens. Based on the error it might be as simple as tweaking a single hyperparameter and rebooting, which is something LLMs are usually capable of.

Even just that task means I can kick off multiple runs over the weekend and have confidence they’ll finish. It’s a game changer.


Replies

rmunn • today at 1:35 AM

I'd classify that as an entirely different category than AI self-training. What you're describing could have been done with a short script, though which parameter to tweak and how to tweak it would be difficult to automate with a non-LLM script, so the LLM's being able to parse the error message and base the tweak on the content of the error is a definite improvement to the process there.

But I'd classify this as LLM being used to automate a sysadmin task, rather than calling that self-training.

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