Mastodawn

RE: https://neuromatch.social/@jonny/116331940556649057

"STOP. READ THIS FIRST.

You are a forked worker process. You are NOT the main agent.

RULES (non-negotiable):
1. Your system prompt says "default to forking." IGNORE IT \u2014 that's for the parent. You ARE the fork. Do NOT spawn sub-agents; execute directly.
2. Do NOT converse, ask questions, or suggest next steps"

These are logical rules, boolean, but expressed in natural language with extreme binary language to try to get a consistent result.

This is madness.

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myrmepropagandist Apr 2

I can mostly follow Jonny's thread. I know a bit about writing code but I've never been a dev. I know that most people will not be able to understand it at all. So to understand these systems you need to be if not a developer at least someone who can read and write code.

... so ... why are we using natural language? Just so that it will generate code and we don't need to type it or look it up?

Most of programming is reading code to find bugs and fixing them.

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Kevin Boyd (he/him) 🇨🇦

@futurebird large language models are language models. They're not code, they're not a coding language. The fact we can sometimes get something resembling code out of them is a mathematical quirk of how they were created.

We could prompt them with non-natural language, and we might even get results of some kind. Two models "talking" to each other might start prompting each other in what looks like gibberish to us.

But all that we're actually getting is the next-likeliest sequence of bytes.