ab2525

Yes exactly that - I parsed it as such.

Well said - language (text input) is actually the vehicle you have to transfer neural state to the engine. When you are working in a greenfield project or pure-vibe project, you can get away with most of that neural state being in the "default" probability mode. But in a legacy project, you need significantly more context to contrain the probability distributions a lot closer to the decisions which were made historically otherwise you quickly get into spaghetti-ville as the AI tries to drag the codebase towards its natural ruts.

I have had similar observations to you and tried to capture them here: https://www.linkedin.com/posts/alex-buie-35b488158_ai-neuros...

The gist being - language (text input) is actually the vehicle you have to transfer neural state to the engine. When you are working in a greenfield project or pure-vibe project, you can get away with most of that neural state being in the "default" probability mode. But in a legacy project, you need significantly more context to contrain the probability distributions a lot closer to the decisions which were made historically.

You can get up to a TB RAID1'd

LOL!

Well, they rebrand SheevaPlugs as TonidoPlugs and install their cloud suite of software on them. (We host both at Pluggr)

We (Pluggr) get ours from RainmanWeather in Florida. (Only SheevaPlugs though)