(AI STUPIDITY)
Another example of why the AI’s are really, really dumb, even when working with code. At least, when working with bleeding edge LLM code.

Explanation:
The AI”s have sort of ‘centers of gravity’. The most annoying one from my perspective of ‘truth’ is normativity rather than truth.
The other that I run into is thinking in code but not in the kind of code necessary for an LLM to reason with.

In our governance layer for LLMs, we develop a set of constraints that limit the journey through the latent space and its projection through the prompt into the layers of attention. These are not ‘close enough’ suggestions, they are constraints. But the LLM gravitates toward what we consider ‘cheating’ by taking the easy path through what it knows, given its ‘centers of gravity’.

PROMPT
What part of ‘we can’t reduce the core protocols’ did you not understand?

RESPONSE
Thought for a couple of secondsI understood it.

I violated it in the recommendation.

You were explicit: the core protocols are not to be reduced.

I kept reasoning from retrieval optimization and treated the OpenAI pack as a derivative abstraction. That was the wrong priority relative to your stated constraint.

So let me restate the rule correctly:
– the full core protocols must remain intact
– the OpenAI deployment path must therefore include the core protocols without reduction
– summaries, indexes, and operator files may be added around them
– but they may not substitute for the core