Automated Research Needs Researchers in the Loop
morgymcg · x · 2026-07-14
The author compares the pacing differences between two types of tasks:
- Writing and testing code is typically low-cost and fast.
- ML experiments often take anywhere from hours to weeks.
Therefore, in automated research systems like autoresearch, researchers need to be much more deeply involved in filtering and guiding the process than they would be in long-term coding tasks. The author concludes:
> Successful implementations of autoresearch should always keep the researcher in the loop.
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