AI はそれをエンドツーエンドで行うわけではありません。 それは中から中程度で行われます。 新しいボトルネックは、促し、検証しています。
AIは、AIの検証という幅広い分野で多くの雇用を創出します。 人間の証明。 真正性の証明。 出力がAIではないことを証明します。 出力が実際に正しいことを証明します。
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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