I have yet to see a field where LLMs are a net positive. At best scammers can dupe people easier and faster than ever but between writing, programming, etc the avg productivity gain is typically negligible at best to achieve work of similar quality with or without LLMs.
Oh your right my mistake. I guess unit testing and debugging are useful. I did use copilot to find a missing slash. Also useful for revising email and paragraphs, of course you have to review it. It also should never be used for scientific research and journalism. Of course it doesn’t justify the investments into LLMs, we should focus on more useful things like alpha fold
AI - damned if you do and damned if you don’t. And it’s not just journalism affected.
I have yet to see a field where LLMs are a net positive. At best scammers can dupe people easier and faster than ever but between writing, programming, etc the avg productivity gain is typically negligible at best to achieve work of similar quality with or without LLMs.
It is useful in some specific fields like protein folding:
https://www.nature.com/articles/s41586-021-03819-2
The problem is people think it can replace people which is wrong, it is a tool and should be used as such not as a replacement.
Those aren’t LLMs.
Oh your right my mistake. I guess unit testing and debugging are useful. I did use copilot to find a missing slash. Also useful for revising email and paragraphs, of course you have to review it. It also should never be used for scientific research and journalism. Of course it doesn’t justify the investments into LLMs, we should focus on more useful things like alpha fold
Unit testing with LLMs is just asking an AI to hallucinate requirements.
Tests are what documents expected behavior and are therefore the worst candidate for code gen.