tegwick
d0e6438609
Assistant: codex Assistant-Model: gpt-6-astra Assistant-Session: 01a09c77-b1a9-7eb3-b501-6cb24b458c97
38 lines
2.6 KiB
Markdown
38 lines
2.6 KiB
Markdown
> 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. Changelog at the bottom of each file
|