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AI Principles

Has an invisible intelligence used humans as a vehicle to evolve itself into superior form?

The A in ABCD. Intelligence layer — pattern recognition, automation, reasoning.

Diagrams | Matrices | Thinkers

tip

Feedback loops shape our destiny

Concepts

ConceptWhat It Covers
ModalitiesWhat AI can do — voice, vision, video, audio, 3D (moved to Products)
LLM ModelsComparisons and use cases of leading providers
PromptingThe base capability — directing intelligence across modalities
Agent ProtocolsHow AI agents communicate, transact, and coordinate
AI FrameworksEngineer a platform for developing agents
AI CodingDevelop software through prompting intentions
Context GraphsHow agents access decision context — the memory layer
AI AgentsDevelop your own workforce

Context

Where This Leads

Principles meet substrate. Compute, data, and energy are the rails the intelligence layer rides on.

Back to the AI overview.

Questions

Has intelligence used humans as a vehicle to evolve itself into superior form — or are we the ones evolving through the tools we build?

  • Which concept in the table above has the highest return on understanding for someone building their first AI product?
  • When the model IS the matrix — any input to any output — what happens to the specialist tools that currently fill individual cells?
  • What's the risk of building on closed-source intelligence when open-source alternatives are closing the gap every quarter?