Human-in-the-loop AI review fails without Bayesian rigor
The Gist
- 78% of companies use informal human review for AI output, mistaking plausibility for accuracy
- Bayesian thinking provides 3.2x more reliable AI output evaluation than traditional methods
- Legal briefs with fake citations show LLMs optimize for plausibility over truth
RevBots.ai View:
Revenue teams using AI for content generation need structured evaluation frameworks beyond eyeballing outputs.
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