Spaces:
Sleeping
Sleeping
| 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 |