General Discussion

search and to provide sources and summarize what's found at those sources, the results are unfortunately likely to be riddled with errors unless the researchers painstakingly checked every detail of the AI's results. And that use of AI, when not caught by peer review, has meant publication of some of those error-filled research results.

The hallucination problem and need to check every detail of AI results will pretty much cancel out time saved with AI, which is probably the top selling point for AI use.

I'm not saying people using AI for research aren't sincerely convinced those AI tools are helping. Or that the results can't look impressive, if not examined too closely.

But what I've read about AI and productivity suggest that it doesn't increase productivity as much as users like to believe. And their believing it helps so much, and becoming reluctant to give up using it, does suggest work-related AI addiction for at least some users:
https://www.democraticunderground.com/100221071042