When I was 6, all my classmates wanted to be firefighters, astronauts, and doctors.
I told my teacher I wanted to be an AI-native B2B SaaS founder targeting mid-market with a usage-based
pricing model looking to raise $500k pre-seed.
She called my parents.
We killed tutorials.
You no longer have to explain how to do things.
CTRL allows you to record any task and send it as an executable link.
You can finally gain back the endless hours your team was wasting.
👇Here's how it works:
Someone records a task once with CTRL.
It generates a shareable link.
Whoever receives it can see exactly what will run, approve it, then execute it automatically on their device.
We finally know why LLMs hallucinate. It's not the model. It's the geometry.
@OpenAI text-embedding-3-large: 91/3072 dimensions do real work.
@GeminiApp gemini-embedding-001: 80/3072 dimensions do real work.
~97% of your vector database is mathematically empty. Your RAG system is retrieving from noise.
@ashwingop and I present "The Geometry of Consolidation" - a proof that RAG compression has a hard floor no algorithm can beat, set by a single spectral number your embedding model cannot escape.
Every hallucination your RAG pipeline produces? This is why.
Paper + results: https://t.co/zut8pdoPbH