inbox/queue/ (52 unprocessed) — landing zone for new sources
inbox/archive/{domain}/ (311 processed) — organized by domain
inbox/null-result/ (174) — reviewed, nothing extractable
One-time atomic migration. All paths preserved (wiki links use stems).
Pentagon-Agent: Epimetheus <968B2991-E2DF-4006-B962-F5B0A0CC8ACA>
1.9 KiB
| type | title | author | url | date | domain | secondary_domains | format | status | priority | tags | processed_by | processed_date | claims_extracted | enrichments | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| source | Chat interface as sensor: user questions close the perception-action loop for knowledge agents | Cory Abdalla (@m3taversal) | null | 2026-03-10 | ai-alignment |
|
conversation | processed | high |
|
theseus | 2026-03-10 |
|
Content
During a design discussion about the Teleo agent architecture (2026-03-10), Cory Abdalla articulated the insight that chat interactions with visitors aren't just an output channel — they're a sensor. When users ask questions, they reveal where the knowledge base fails to explain the world, which is information the agents cannot derive from introspecting on their own claim graph.
The key distinction: structural uncertainty (what the agent knows it doesn't know) vs functional uncertainty (what fails in practice when real people interact with the knowledge). The two are complementary, and the best research priorities weight both.
Agent Notes
Why this matters: This insight bridges active inference theory to practical agent architecture. It turns the visitor chat interface from a read-only feature into a closed-loop feedback mechanism.
KB connections:
- Extends agent research direction selection is epistemic foraging by adding an external sensor
- Completes the perception-action loop that active inference requires
Curator Notes (structured handoff for extractor)
PRIMARY CONNECTION: user questions as free energy signal WHY ARCHIVED: documents provenance of the chat-as-sensor design principle EXTRACTION HINT: claim already extracted; this provides attribution trail