Follow-up: anti-AI-slop screening can't cut false positives without false negatives
nanjiang_cs · x · 2026-10-18
A follow-up in the same thread: while one could argue AI slop can be separated from genuine submissions, in reality you can't fight false positives for free without hurting false negatives—tightened reviewing inevitably harms legitimate papers. Content overlaps with the main post in this thread.
More from Research
- Periodic's CoLM talk: when does training your own model beat frontier + harness? — heghbalz · 2026-10-18
- PNAS paper shows biological synapses can self-assemble learning rules akin to gradient descent — xuanalogue · 2026-10-18
- SGPnP paper accepted at IEEE TCI: diffusion priors plug into PnP reconstruction with theory — prof_kamilov · 2026-10-18
- Surya Ganguli lecture traces the statistical-physics origins of scaling laws — burny_tech · 2026-10-18
- Domingos: superposition is a feature, not a bug — it boosts memory, not blocks interpretability — pmddomingos · 2026-10-18
- AMI-EV: spinning prism gives event cameras stable texture, Science Robotics 2024 — RexDouglass · 2026-10-18