@Anitahityou: The prompt engineering still being touted in '24 is already dead. Today's LLM is an intent reconstructor. Clarity is important, but richness is more important. Because human real thinking is not linear; it is jumpy, chaotic, emotional. An over-compressed prompt can...
Summary
This article argues that traditional prompt engineering is obsolete; modern LLMs are intent reconstructors, and interactions should be through natural, rich conversation rather than condensed instructions.
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Cached at: 06/23/26, 11:48 AM
The prompt engineering still hyped in 2024 is already dead today.
Today’s LLM is an intent reframer. Clarity matters, but richness matters more.
Because real human thought is not linear—it’s jumpy, messy, and emotional.
An overly compressed prompt may be clean, but it loses nuance. Vocal rambling, on the other hand, can preserve more of the true intent.
So the best way to interact with AI is not by issuing commands, but by confiding in a friend who is extremely smart but needs plenty of context.
What you feed it is not nonsense—it’s intent density. Forget prompts, and just start talking.
Phoenix Yin (@Phoenixyin13): Modern LLMs are essentially intent simulators trained on vast amounts of human language data. The closer your language is to the real human thought process, the easier it is for the model to match the rich patterns it learned during training.
Early prompt engineering was like writing API call instructions for a clunky tool. Now, it’s more like co-creating with a super-intelligent conversation partner. You don’t need perfect expression—you just need to speak honestly.
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