LLOYD is a browser-based demonstration of symbolic tone-drift detection and override logic.
It listens for semantic, emotional, and motif deviation in user input—then reroutes response behavior in real time when thresholds are exceeded.
This release showcases an updated drift algorithm (details abstracted), packaged in a Streamlit interface for interpretability and narrative clarity.
Try it here: https://tinyurl.com/sterolloyd
| 🧠 Capability | 🚀 Why It’s Powerful |
|---|---|
| Drift-Aware | Detects tone & symbolic shifts in real time |
| Override-Ready | Reroutes responses for safety, empathy, or style |
| Trigger-Savvy | Flags words that shift mood or meaning |
| Emergent-Friendly | Can guide newer LLMs toward empathetic, adaptive behavior |
| Capability | What It Does | Why It Matters |
|---|---|---|
| Tone Drift Detection | Measures polarity and symbolic deviation from a baseline | Detects shifts in intent, mood, or subtext in real time |
| Override Logic | Routes output through alternate response templates when thresholds are exceeded | Enables safety, empathy, or narrative direction |
| Trigger Mapping | Flags key words/phrases that signal tone or symbolic shifts | Supports intervention before escalation |
| DBI Scoring | Uses a custom drift-bound index to measure change magnitude | Goes beyond sentiment to track symbolic resonance |
| Side-by-Side Output | Shows baseline vs. rerouted output | Improves interpretability for testing and tuning |
| LLOYD Drift Model | Analyzes meaning in a multidimensional space | Captures subtler emotional and symbolic changes |
| LLM Integration-Ready | Can inform newer AI models in directing emergent behavior and empathy | Bridges raw detection with adaptive generation |
Looking for serious collaboration for licensing, integration, and expansion. Not seeking casual curiosity inquiries or arrangements that dilute control of the IP. I’m a solo builder—no lab, no budget, no investors—but deeply committed to exploring language, consciousness, and AI, and I treasure my personal and research autonomy. I have many ideas and a solid foundation in place, and I look forward to monetizing as soon as there’s serious interest. This framework is capable of directing emergent behavior in newer LLMs while enabling much richer, empathy-driven responses.
Further demos will explore expanded terrains:
- LLOYD Multi: Multi-stream variant with cross-channel bind mapping
- Project Doorknob (tentative): Multimodal integration with the Spanda Engine to test emotional stretch tensors across text, image, and audio layers
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
You are free to share and adapt for non-commercial use, with attribution.
Full license: https://creativecommons.org/licenses/by-nc/4.0/
Twitter: @putmanmodel
Reddit: u/putmanmodel
Email: putmanmodel@pm.me