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"Research vs. Monte Carlo Research" by Boyang "Albert" Li (@AlbertBoyangLi) #58
At one time, I thought all researchers think like me. I recently realized my mistake and noticed two mentalities. I call them Research and Monte Carlo Research, borrowing from Simon Lucey. We might have all done Monte Carlo Research, but we can all try to do less of that. pic.twitter.com/xHhpiTgeDm
changed the title [-]Research vs. Monte Carlo Research[/-][+]"Research vs. Monte Carlo Research" by Boyang "Albert" Li (@AlbertBoyangLi)[/+]on Sep 6, 2026
TL;DR: Li contrasts research driven by understanding with an approach that repeatedly tries alternatives while focusing mainly on publishable results. He encourages researchers to examine their habits and spend more effort learning why things work.
Learn from both failure and success. Investigate the reasons behind an outcome so that it informs the next experiment.
Improve the research process. Develop understanding and better methods of working, rather than judging progress only through results, paper counts, or citations.
Let curiosity guide the agenda. Look beyond whichever topic is currently fashionable, and write papers to explain knowledge gained.
Reflect on your own practice. Li acknowledges that everyone may sometimes fall into the behavior he criticizes. In a follow-up, he identifies curiosity as what sustains his interest in research.
Reactions:
Challenge to the distinction:Thomas Unterthiner calls the framing a false dichotomy. He argues that good researchers pursue important questions with curiosity while also knowing when further investigation would become a distraction.
Support for combining approaches:Lucas Beyer’s reply similarly argues that research needs some of both approaches.
These responses question the sharp separation between the two styles. I did not find substantial independent discussion elsewhere on the web. X restricted access to the full reply list, so the roundup covers only the public discussion I could verify.
The summary and reaction roundup above were generated by GPT-6 Astra in Codex.
Activity
[-]Research vs. Monte Carlo Research[/-][+]"Research vs. Monte Carlo Research" by Boyang "Albert" Li (@AlbertBoyangLi)[/+]lintool commentedon Sep 6, 2026
A summary of Boyang “Albert” Li’s November 2023 post and comparison table, plus reactions.
TL;DR: Li contrasts research driven by understanding with an approach that repeatedly tries alternatives while focusing mainly on publishable results. He encourages researchers to examine their habits and spend more effort learning why things work.
Reactions:
These responses question the sharp separation between the two styles. I did not find substantial independent discussion elsewhere on the web. X restricted access to the full reply list, so the roundup covers only the public discussion I could verify.
The summary and reaction roundup above were generated by GPT-6 Astra in Codex.