The Semantic Scalpel 🔬
Created by Bryan Daugherty — The Daugherty Engine Applied to NLP
"The future of semantic understanding lies not in the blunt force of billions of parameters, but in the surgical application of semantic flow dynamics."
The Precision Paradigm
| Traditional LLMs | Semantic Scalpel |
|---|---|
| 175B parameters | 9.96M parameters |
| ~800ms latency | 6ms latency |
| ~$0.03/query | ~$0.0001/query |
| Statistical guessing | Topological precision |
| Fails on garden paths | 95% on garden paths |
Same "topology over brute force" approach powering the Daugherty Engine.
Interactive Examples
Click any button below — the Scalpel runs immediately and shows results with GPT-4 comparison.
Click an example button above to see the Scalpel in action with GPT-4 comparison
Linguistic Phenomena
⭐ The Killer Demo
Created by Bryan Daugherty. API-only demo — no model weights or proprietary code exposed.