What people are saying
Organic traction — no paid promotion. Quotes and coverage are attributed by channel only.
Quotes
"Spent my weekend diving into a repository that honestly made me look at LLMs more like a physics problem than a math one."
"Making LLM inference shift from O(n²) to O(n log n) may be the next big breakthrough."
"Wave Field LLM represents a smarter architectural shift. Instead of prompt engineering..."
"I've not tried the code, but the approach to getting past the current generative model AI described here sounds very promising."
"It claims to be an alternative language model architecture that replaces O(n²) self-attention with wave equation dynamics on continuous fields. O(n log n) complexity, within 5% of standard transformer quality. That's substantial."
Independent Coverage
Full technical analysis: "Wave Field LLM: Language Modeling Through Physics" — published independently.
Breakdown of Wave Field for non-technical readers — "Let's break it down simply."
"Wave Field LLM: Efficient Language Intelligence Architecture" — overview and link to the repo.
Interactive Wave Field LLM visualizer — built independently, without coordination.
Discussions
Active discussion thread on O(n log n) attention via wave equation dynamics.
Multiple threads with 60+ comments discussing the architecture and benchmark results.