I totally agree, science is not a simple optimization problem, or at least not in the form conceived by most existing systems. @battleday.bsky.social and I wrote about this recently from a somewhat different perspective (emphasizing the 'problem problem'):
gershmanlab.com/pubs/Battled...
gershmanlab.com
"Science is not simply a sequence of tasks that can be optimized....The scientific system thrives on inefficiency: redundant efforts, failed attempts, and divergent paths. These are not costs to be eliminated but sources of discovery."
Excellent essay!
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www.science.org/doi/10.1126/...
Progress in the use of artificial intelligence (AI) to advance scientific discovery has made it increasingly realistic to envision automated “end-to-end science” (ETES) systems: integrated pipelines t...
