---
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