sagheerahmed9568 :
Every few weeks, the AI world seems to discover a new "core skill" that everyone is suddenly supposed to master. Not long ago, it was prompt engineering. People were told that writing the perfect prompt was the key to using AI properly. Then, almost overnight, prompt engineering became old news because the model could supposedly do that work for you. Now the new buzzword is loop engineering, and once again the message is the same: if you are not doing this, you are behind.
I find this cycle ridiculous.
The idea of loop engineering also exposes a deeper contradiction. If we are talking about intelligence, then intelligence should not mean producing a weak
answer, debating that same weak answer for hours, generating more variations of the same mistake, and then selecting one of them after enough tokens have been spent. Being wrong is not the problem. Humans are wrong too. The problem is pretending that repeated self-review is the same as understanding.
If the same model is generating ideas, reviewing them, critiquing them, and approving them, it is acting as judge, jury, witness, and appeals court all at once. Running longer as an agent in a loop does not magically create independent thinking. In many cases, it simply gives the model more time to reinforce its own assumptions.
The real question is not "How long did it run in a loop and how many ideas it reviewed?" The real question is "Who or what challenged it?"
2026-06-28 12:31:49