README.md

metadata

title: RFT Lab
emoji: 💻
colorFrom: purple
colorTo: green
sdk: gradio
sdk_version: 6.1.0
app_file: app.py
pinned: false
short_description: Explore RFT’s latest systems
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/685edcb04796127b024b4805/KH2dgy56awQWoPuwCVEVl.png

RFT Labs — NexFrame & Conscious Compute

This Space is the live lab for Rendered Frame Theory (RFT).
It exposes three systems:

1. NexFrame Brain – a self-deciding symbolic engine with a 3×3 consciousness gate.
   Talk to NexFrame in the left panel and watch κ, energy, identity stability, gate status, Sarg probe and a small “civilisation” update in real time.

2. Consciousness Engine – an RFT consciousness-coupled compute core.
   Choose a scenario (calm observer, decoherence storm, etc.), set coherence/noise, and run a job.
   You get: effective coherence, render efficiency, estimated ops/sec, and a SHA-256 field hash for that run.

3. Compute Benchmark – baseline vs RFT-tuned kernel on the current CPU.
   It measures live ops/sec and reports the speedup factor.
   External RFT runs have hit ~208× on specific workloads; this panel shows the honest ratio on this hardware.

All three tabs are fully deterministic and falsifiable – no external models, no black boxes. Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference