Tyler Williams's picture

Building on HF

Tyler Williams PRO

unmodeled-tyler

·

https://quantaintellect.com

AI & ML interests

AI research engineer & solo operator of VANTA Research/Quanta Intellect

Recent Activity

reacted to branikita's post with 🔥 about 19 hours ago

Progress update on our Robonine mobile robotic platform. We've wired up the full electronics stack - Raspberry Pi, motor controllers, and a camera module - and added Bluetooth joystick and keyboard control with WiFi-based management. A 7 kg counterweight keeps the platform stable. Powered by a powerbank and ready to roll.

reacted to Severian's post with 🔥 about 19 hours ago

I’ve been working on a new mathematical approach to real-time video compositing and background removal, and I wanted to share a live demo. Traditionally, real-time keyers either use 3D color-space bounding boxes (which struggle with semi-transparent hair and motion blur) or heavy Machine Learning models (which require massive GPU compute and often suffer from temporal "jitter" on the edges). I wanted to see if I could solve this using purely deterministic math so it could run client-side in a standard browser. The engine uses a custom mathematical framework I call CMT SRL SEFA. Instead of looking at raw color values or guessing semantics like an AI, it treats the video feed as complex-encoded sequences. It uses harmonic frequencies to map phase geometry and applies a "Stability Cost Function" to find the global minimum stability. In short: it isolates the foreground from the background by measuring signal complexity and structural contradictions. Give it a try using your own messy plates and such. As I am not a VFX artist, I am curious to hear thoughts and what should be improved upon and made better https://severian-cmt-sefa-realtime-vfx-keyer.hf.space/

repliedto omarkamali's post 1 day ago

I just might have cracked tokenizer-free LLMs. No vocab, no softmax. I'm training a 22M params LLM rn to test this "thing" and it's able to formulate coherent sentences 🤯 Bear in mind, this is a completely new, tokenizer-free LLM architecture with built-in language universality. Check the explainer video to understand what's happening. Feedback welcome on this approach!

View all activity

Organizations

unmodeled-tyler 's datasets 1

unmodeled-tyler/vessel-browser-tool-loop

Viewer • Updated 5 days ago • 1 • 10