AI is making null-result papers cheaper, and that could further pollute science
soumitrashukla9 · x · 2026-07-24
The post argues that AI is making it cheaper to pursue weak, derivative, or null-result projects, and that this changes how scientific knowledge accumulates.
- The quoted thread says treating null results as “crappy projects” is a mistake.
- It points out that published estimates are often about 3× larger than replication results, suggesting a broader problem in the literature.
- The core implication is that AI lowers the cost of producing low-value papers, which may increase output but also worsen signal quality.
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