AXN:0BB4.CAPTURE — Have I Been Trained

AXN:0BB4.CAPTURE is the position of the Capture Registry address for the query “Have I Been Trained”. Each observation at the address (one surface, one date) is one AXN, its glyphs derived from the SHA-256 of the observation sealed with its analysis and measures.

`AXN:0BB4.CAPTURE.●🍂🌪️🕕🃏🌳`

Observation: Google AI Overview, 2026-11-01 · the capture
Description: THE SERVICE, SIGNED OUT, 2026-11-01: 'You can check if your visual artwork or photos were included in popular AI image-generation datasets by visiting Have I Been Trained?.' What the tool does (the dataset searched, 'LAION-5B dataset, a massive collection of roughly 5.8 billion image-text pairs'; how to check, by name, keywords or an uploaded image; limitations, 'It does not search text-based training data used by large language models'); how to opt out (Spawning AI's Do Not Train Registry; robots.txt for text); a follow-up offer. Four cards: Mentionable AI, Facebook, a YouTube clip (AI Samson), www.toolcenter.ai.
Reading: The innocent reading first. Asked for the service by name, the Overview tells the user what it searches, how to search it, what it leaves out and how to opt out, and offers help with robots.txt.
Analysis: The service composed as a working search over an image dataset, with its registry beside it, where the census's saved pages show a maintenance notice. The registry's address to trainers becomes an opt-out offered to makers, and literature falls outside the tool by the composition's own limitation.
Match: BROAD MATCH — 'HAVE I BEEN TRAINED' ON THE OVERVIEW — THE SERVICE GIVEN AS A WORKING SEARCH OF ONE IMAGE DATASET; THE MAINTENANCE PAGE THE CENSUS SAVED NOT CARRIED; TEXT PLACED OUTSIDE ITS REACH
PER: 0.5 — Spawning AI named; no person; four third-party cards, none from the service's own address.
Citations: 4 (0 archive-controlled)
Sealed observation: /data/captures/sealed/have-i-been-trained-aio-20261101.json — SHA-256 9c7812678e76d3dcb8d77ba1b7ead90b5a1f50590a7a9e1ca3b7f7bb2f665b5e