LLM Slop Trend Is Indeed Worsening
NeelNanda5 · x · 2026-07-15
The author adds that the overall trend is indeed worsening over time.
They also disclosed the funding source for this work: @pangram provided the credits needed to support the analysis.
They reiterated that these findings come from a post-hoc analysis; Pangram was not used during the actual submission and review decision-making process.
Related event: Data Confirms Worsening LLM Slop in Academic Submissions(2 posts)→
More from Research
- Nature Physics: reprogrammable refractive index enables arbitrary multimode wave control for ML — MarioKrenn6240 · 2026-10-27
- Wakaru open-sources ontologize: labeling datasets from model activations — amplifiedamp · 2026-10-27
- EMNLP Oral paper traces multilingual representations in LLMs with cross-layer transcoders — ZhijingJin · 2026-10-27
- GPT-6 Pro reruns crime research: GTA V's 2013 launch tied to violence dips in four regions — emollick · 2026-10-27
- OpenAI's Aaron Lou on leaving a Stanford PhD for OpenAI, diffusion LMs vs autoregression — aaron_lou · 2026-10-27
- CLT-Forge: Open-source toolkit for cross-layer transcoder training and attribution graphs — ZhijingJin · 2026-10-27