AI hype often hides negative ROI and expensive verification costs
gerardsans · x · 2026-07-21
## A critique of AI hype: negative ROI, stochastic outputs, and costly verification The quoted post argues that many people overestimate what AI can do in real work: - **ROI is often negative** because brute-force scaling burns compute, energy, and time for only marginal gains. - **Model outputs are stochastic suggestions, not truth**; failures can be silent, confident, and plausible-looking. - **Verification is mandatory** in high-stakes domains, but it is expensive and often costs more than generating the answer in the first place. The reply is a blunt warning to people experimenting with AI without understanding its current limitations and failure modes.
Related event: AI Capability Boundaries: Verification Costs and Expert Users Are Key(7 posts)→
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