AI-Generated Proposals Are Making Reviewers Work Harder Than the Authors
yangyi · x · 2026-10-10
An engineer describes a growing workplace dilemma: junior staff now submit AI-written proposals that look polished but exceed their own understanding. Reviewers must painstakingly verify each claim—often spending more effort than the author spent generating it—and each round of feedback is simply fed back into the AI, resetting the cycle.
The dilemma is that banning AI makes juniors' raw writing worse, while asking them to self-review fails because they can't judge technology they've never seen. The author argues this gap between AI-boosted output and human competence will become a major problem. The reposter sums it up: humans are becoming the middleman between client and AI.
More from AGI Musings
- AI commentators: AGI disruption only goes mainstream when half of white-collar jobs vanish — iruletheworldmo · 2026-10-10
- DeepMind's Andrew Lampinen defends anthropomorphic metaphors for describing AI — AndrewLampinen · 2026-10-10
- DeepMind's Andrew Lampinen defends anthropomorphic metaphors for describing AI — AndrewLampinen · 2026-10-10
- Pure math and theoretical CS are quietly flooding into biology with good results — fkasummer · 2026-10-10
- 'Professional toe-treading': execs fear being bypassed by AI-armed colleagues, says industry insider — beglen · 2026-10-10
- Frontier AI builders must take philosophy seriously, argues technologist — fkasummer · 2026-10-10