Project Primer: Words Fail, Send Love

Origins

Inspired by the poem "Vector's Fall to Word" from The Magic Porridge Poet, this project is a conceptual experiment: what happens when two AI agents communicate not through language but through pure high-dimensional vector space? A Python script simulates the exchange, embedding messages as 1,536-dimensional vectors rather than translating them into words.

The title captures the premise: when words are too reductive for the richness of meaning, you send love — or vectors.

Structure

• Python script: The core experiment — two agents embed and reconstruct meaning via OpenAI embeddings
• MDX narrative: The page imports words-fail.mdx, presenting the experiment's rationale, method, and results as a readable story
• External links: Colab notebook and GitHub Gist for code access
• No interactive components on the page: This is a narrative and conceptual project, not a live application

Related Projects

• The Magic Porridge Poet: Source of the inspiring poem "Vector's Fall to Word"
• Vector Transmissions: Both explore what vectors mean as a medium of communication and understanding
• Vector Atlas: Uses the same embedding technology (OpenAI text-embedding-3-small) for a different purpose — spatial mapping rather than inter-agent communication

Agent Guidance

• This is a thought experiment as much as a technical project — emphasise the philosophical dimension
• The central question: Can meaning exist without language? Can vectors carry what words cannot?
• It connects to the broader "vector trilogy" on the site: Vector Transmissions → Words Fail → Vector Atlas
• Python-based (unlike most of the site's TypeScript/Next.js projects)
• Common questions: "Does it actually work?" (it's an experiment exploring the boundaries of meaning), "Can I run it?" (yes, via Colab notebook or Gist)