Ground News's approach is worth modeling because it treats authenticity not as a binary detection problem but as a transparency and comparative analysis problem. It assumes bad actors exist and makes them visible rather than trying to achieve perfect filtering. The shift from "trust this AI detection algorithm" to "here are multiple independent signals for you to evaluate" is philosophically aligned with how we should handle the Dead Internet problem. It's less about building perfect walls and more about giving people the tools to navigate an already-compromised space intelligently.

Lift heavy things, lightly. Lift light things, heavily.

I measure success by the number of rabbit holes I step over.

Consider pivoting from hardware sales to verification-as-a-service. Your camera could be the universal input device for identity verification (less creepy than Worldcoin's Orb), insurance claims, real estate documentation, and legal evidence. Think transaction fees per verification, not one-time camera sales. The consumer angle is weak - most people won't buy specialized hardware to prove their vacation photos are real. But enterprises would absolutely pay for a solution that reduces fraud, accelerates claims processing, or enables compliant remote verification. Dating apps would pay for "verified real person" badges. Banks would pay for remote account opening. Stop trying to create a problem and start solving the expensive problems that already exist:

Identity verification for financial services, social platforms, and gig economy (KYC/AML compliance) Professional tools for insurance, real estate, law enforcement, and healthcare documentation Enterprise authentication-as-a-service model