# Adaptive AI solver learns new CAPTCHA categories from its own answers

_Published Monday, October 19, 2026 at 7:21 AM EDT · Security, AI · Latest · Tier 2 — Notable_

Researchers report that an adaptive AI system solved visual CAPTCHAs with 85.4% overall accuracy across 16 classes, according to research highlighted by Schneier on Security. The system routes screenshots between a fine-tuned YOLOv8 detector and an open-weight vision-language model based on confidence, using operating-system input events without browser automation or access to page structure.

Answers from the vision-language model become training labels, allowing the detector to learn new categories, typically after one or two encounters without human annotation. Image perturbations drove the detector's accuracy to 0%, but labels from the unaffected vision-language model enabled recovery. In a year-long simulated contest with defenses revised monthly, the solver recovered every round.

## Sources

- [Schneier on Security](https://www.schneier.com/blog/archives/2026/10/training-ais-to-solve-captchas.html)

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Canonical: https://techandbusiness.org/newswire/_W1f3a6tNq4-rGd1teoiq_
Published: 2026-10-19T11:21:19.856Z
Story chronology: 2026-10-19T11:07:43.000Z
Retrieved: 2026-10-19T14:12:44.330Z
Publisher: Tech & Business (techandbusiness.org)