Totally fair, tbh — this is the part where most embedding stuff just, well, breaks.
What I’m doing in TXT OS isn’t just spinning vectors for fun. Each “move” is kinda anchored by feedback inside (ΔS, we call it semantic tension). If it starts drifting too far off, it’ll catch itself and snap back — like some gravity well for logic, haha.
And yeah, the rotations aren’t just random, they’re kind of “locked in” by these alignment planes (using λ_observe, basically language context gradients — sounds fancy but you’ll see what I mean if you poke around).
Honestly, still feels experimental, but… so far it’s holding up better than I thought.
If you’re curious, just type hello world in TXT OS and follow the steps — it’ll walk you through what’s going on under the hood. You can even throw dumb paradoxes at it and see if it goes crazy (or not).