https://allenai.org/blog/autodiscovery Instead of starting with a question, AutoDiscovery starts with your data and asks its own questions—generating hypotheses in natural language, proposing experiment plans, writing Python code to execute them, interpreting statistical results, and using what it learns to generate new hypotheses. Give it a structured dataset and let it explore. Whether you run a quick analysis or hundreds of experiments overnight, you’ll receive a complete list of novel possible research directions—each one reproducible and ready to investigate further. submitted by /u/AngleAccomplished865
Originally posted by u/AngleAccomplished865 on r/ArtificialInteligence
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