> Imported exploration, 2026-09-13. Source claims have not been independently verified by this repository. See [integration review](../docs/integration-review.md). # Compendium — what this is Version 0.1 · 13 September 2026 This folder is the **introductory map** Intelligence Radar keeps of how humans currently *model* intelligence. It is meant to improve over time: weekly digests propose edits; accepted edits bump the version and leave a short changelog. It is not a complete literature review. It is a working ontology plus the disputes that matter for monitoring the frontier. ## Scope of “intelligence” here Intelligence Radar tracks four overlapping objects: 1. **Biological intelligence** — nervous systems and the cognitive capacities they support in humans and other animals. 2. **Artificial intelligence** — engineered systems that perform cognitive work, currently dominated by large trained models and agent scaffolds. 3. **Collective / institutional intelligence** — markets, science, firms, states, open-source communities: systems that know and decide without a single mind. 4. **Otherwise generated** — hybrid human–machine systems, in-silico cognitive science, digital twins of brains, proposed non-neural substrates (quantum, analog, neuromorphic, latent-space recurrent architectures). The facility’s special focus is the **capability frontier of artificial systems** and the **price and availability** of those capabilities. The other three objects exist so the frontier is not mistaken for the whole phenomenon. ## What “humanity knows” A useful humility: humanity does not have one settled theory of intelligence. It has: - **Measurement traditions** (psychometrics, animal cognition batteries, AI benchmarks, economic productivity studies). - **Mechanistic sketches** (predictive processing, global workspace, network neuroscience, scaling laws, Bayesian program learning). - **Engineering recipes** that work without a complete theory (pretrain–reason–act loops, RL from verifiable rewards, tool use, long-horizon agents). - **Open disputes** that are load-bearing for policy and investment (is general intelligence a real factor? is consciousness computational? do current agents generalize or memorize? is the bottleneck data, compute, architecture, or evaluation?). The compendium tracks those four layers separately so a new model release does not get written up as a new theory of mind. ## Reading order 1. `01-maps-of-intelligence.md` — the main human models 2. `02-measurement.md` — how intelligence is scored 3. `03-frontier-as-of-2026-09.md` — snapshot of the artificial frontier 4. `04-socher-eureka-machine.md` — unverified 2026-10-04 lead on Richard Socher and *The Eureka Machine* 5. Changelog at the bottom of each file ## Changelog - 2026-09-13: v0.1 introductory map. - 2026-10-04: reading order gains an unverified Socher lead. The index stays 0.1. The lead does not revise the maps.