Re:ResearchAgent: Iterative Research Idea Generation Using LLMs
by UncleOxidant on Tuesday April 16, 2024 @01:07AM
(#40048550)
The ideas aren't the hard part.
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Re:ResearchAgent: Iterative Research Idea Generation Using LLMs
by tokai on Tuesday April 16, 2024 @05:39AM
(#40050058)
This. Any researcher should, over a lunch, be able to generate more idea than can be tackled in a life time.
Re:ResearchAgent: Iterative Research Idea Generation Using LLMs
by falcor84 on Tuesday April 16, 2024 @11:01AM
(#40052859)
The fact that a human expert can also do it doesn't mean the AI isn't valuable. Even if you just consider the monetary aspect, those few API calls would definitely be cheaper than buying the researcher lunch. But the big benefit is being able to generate those ideas immediately and autonomously every time there's new data.
Re:ResearchAgent: Iterative Research Idea Generation Using LLMs
by passwordoops on Tuesday April 16, 2024 @11:58AM
(#40053675)
I think what they are saying is that idea generation is not a pain point and not really worth solving. Taking ideas and making them happen... that's the hard part where an artificial agent could come in much more handy
Re:ResearchAgent: Iterative Research Idea Generation Using LLMs
by kordlessagain on Tuesday April 16, 2024 @03:34PM
(#40056211)
The number of the ideas has nothing to do with the quality of the ideas. Some ideas a gold, many aren’t.
Re:ResearchAgent: Iterative Research Idea Generation Using LLMs
by fpgamlirfanboy on Tuesday April 16, 2024 @11:30AM
(#40053292)
Tell that to PhD advisor that took credit for all my work because they were his ideas (at least so he claimed).
Re:ResearchAgent: Iterative Research Idea Generation Using LLMs
by passwordoops on Tuesday April 16, 2024 @11:56AM
(#40053649)
Unfortunately the good ones who do not steal credit are few and far between. Current incentives select for this behaviour. Not just in academia, but about everywhere.
Go to any meeting and state the obvious fact that "any idiot can have an idea. Making it happen is the tough part" then watch how the decision makers react