人工智慧不會端到端地做到這一點。 它做到了中到中間。 新的瓶頸正在提示和驗證。
人工智慧將在驗證人工智慧的廣泛領域創造許多就業機會。 人類的證明。 真實性證明。 證明輸出不是人工智慧。 證明輸出實際上是正確的。
Balaji
Balaji2025年6月4日
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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