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AI gjør det ikke ende-til-ende.
Den gjør det fra midten til midten.
De nye flaskehalsene er tilskyndende og verifiserende.
AI vil skape mange jobber innen det brede området verifisering av AI.
Bevis på menneskelig.
Bevis på autentisitet.
Bevis på at utgangen ikke er AI.
Bevis på at utgangen faktisk er riktig.

4. juni 2025
AI PROMPTING → AI VERIFYING
AI prompting scales, because prompting is just typing.
But AI verifying doesn’t scale, because verifying AI output involves much more than just typing.
Sometimes you can verify by eye, which is why AI is great for frontend, images, and video. But for anything subtle, you need to read the code or text deeply — and that means knowing the topic well enough to correct the AI.
Researchers are well aware of this, which is why there’s so much work on evals and hallucination.
However, the concept of verification as the bottleneck for AI users is under-discussed. Yes, you can try formal verification, or critic models where one AI checks another, or other techniques. But to even be aware of the issue as a first class problem is half the battle.
For users: AI verifying is as important as AI prompting.
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