1 min readfrom Machine Learning

AI scientists produce results without reasoning scientifically [R]

Researchers ran 25,000 AI scientist experiments and discovered something that need attention!!

AI scientists are producing results without doing science.

68% of times, the AI gathered evidence and then completely ignored it. 71% times the AI never updated its beliefs at all. Not once. Only 26% of the time did the AI revise a hypothesis when confronted with contradictory data.

A human scientist adapts. You approach a chemistry identification problem differently than you approach a simulation workflow. The AI doesn't. It runs the same undisciplined loop every time.

The researchers also showed the most popular proposed fix: better scaffolding do not work.

Everyone building AI research agents has focused on engineering better prompting frameworks, better tool routing, better agent architectures. ReAct, structured tool-calling, chain-of-thought, all of it.

alphaxiv

arxiv

submitted by /u/Okra3268
[link] [comments]

Want to read more?

Check out the full article on the original site

View original article

Tagged with

#real-time data collaboration
#real-time collaboration
#rows.com
#big data management in spreadsheets
#generative AI for data analysis
#conversational data analysis
#Excel alternatives for data analysis
#financial modeling with spreadsheets
#intelligent data visualization
#data visualization tools
#workflow automation
#enterprise data management
#big data performance
#data analysis tools
#data cleaning solutions
#AI scientists
#experiments
#evidence
#hypothesis
#beliefs