aibusiness

LLM skepticism tracker

Build a public database cataloguing failed AI predictions and limitations. Target CTOs evaluating AI investments.

Why now

As LLM hype peaks, evidence-based skepticism gains value.

Who for
Enterprise tech leaders
Business model
Enterprise reports
Effort
A weekend

Executives lack neutral data on AI shortcomings. Curate verified cases of model failures with technical postmortems. Offer enterprise subscriptions for customized risk assessments. Start with just Navier-Stokes analysis before expanding domains. Risk: Perceived as anti-innovation by AI vendors.

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LLM skepticism tracker — Ideas