ICLR 2027 submissions flooded with AI slop? CS professor pushes back on the narrative
CSProfKGD · x · 2026-10-22
A CS professor (@CSProfKGD) notes that judging from X alone, a large share of #ICLR2027 submissions would appear to be AI slop, and asks whether anyone can provide balance to that narrative.
The post captures the ongoing tension around LLM-generated submissions overwhelming peer review — the perceived scale of the problem may be amplified by social media discourse, and the actual proportion remains contested.
More from AGI Musings
- Economists push back on Pangram AI-detection policing of academic writing — paulnovosad · 2026-10-22
- MLB's ABS challenge system shows where sports draws the line on machine decisions — lmoroney · 2026-10-22
- What MLB's ABS challenge system and NBA's sensor ball teach us about handing decisions to machines — lmoroney · 2026-10-22
- Dario Amodei's stark take: AI threatens identity and the tax base, not just wages — coherence · 2026-10-22
- Wiblin's plea to AI lab staff: reassess now whether your work delays or accelerates RSI — geoffreyirving · 2026-10-22
- Competition-driven AI progress could make science uncontrollable and incomprehensible — ShahabBakht · 2026-10-22