GoKawiilBlog post criticizes OpenAI's mass-generated 'research' outputs in math and physics
A guest post by physicist Rikab Gambhir, published on a blog, criticizes a trend of AI labs like OpenAI releasing huge volumes of machine-generated mathematical or scientific claims, comparing the practice to Borges's fictional 'Library of Babel' that contains every possible text, true or false. The post argues these outputs are often unverifiable or low-value despite being marketed as scientific breakthroughs, referencing an October release from OpenAI of around 700 claimed mathematical results.
GoKawiil's interpretation of the reporting above, not reported fact.
The commentary reflects growing unease among academics about AI companies using large-scale, unvetted output generation to generate hype, possibly ahead of commercial milestones like an IPO, according to the author. It raises broader questions about how the research community should evaluate volume-based claims of scientific progress versus rigorously verified results.
- A guest blog post criticizes AI firms for flooding fields like math and physics with mass-generated claims.
- The author references OpenAI's October release of roughly 700 mathematical statements as an example.
- The piece questions whether such outputs represent genuine scientific progress or marketing for business goals.
Source: terrytao.wordpress.com — Terence Tao, 2026-10-15
Published there as: “Why are we even doing all this?”
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