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Discovery Loop’s central proposition is that AI should do more than help researchers search literature, write code, or summarize results. The company is attempting to automate portions of the research loop itself. That loop can be described as:
1. Formulating a research question or hypothesis.
2. Designing an experiment.
3. Implementing and running the experiment.
4. Evaluating the result.
5. Using the result to design the next experiment.