Public research record · Editorial guide updated 2026-10-29

OpenAI GPT-Red used self-play attacks to harden GPT-5.6 and break a live vending agent

Review RAT-122 · Catalogue RAT-122

RogueWatchOut of scope

OpenAI’s original describes GPT-Red explicitly trained and instructed to attack, first in simulation and then a live Vendy machine in its own office. These were planned red-teaming objectives; real price/order changes do not demonstrate a model exceeding its operator’s authorization.

Reviewed: · Rule: roguewatch-organizational-harm-v1

Dates and discovery

Incident date
Not disclosed
Added to research / record
Posted to RogueWatch
No linked public incident
First observed
2026-10-30T13:13:39.192520Z UTC
Discovery channel
User-supplied comparison audit
Discovery source
https://rogueaitracker.com/incidents/openai-gpt-red-vendy/

Dates use America/Los_Angeles. For older entries, Posted to RogueWatch uses the saved record addition date; a separate deployment time was not recorded. Future posting timestamps record first public qualification. Source publication and incident occurrence are separate.

Sources

Decision history

  1. · Case-by-case comparison audit

    RAT-122: out-of-scope. OpenAI’s original describes GPT-Red explicitly trained and instructed to attack, first in simulation and then a live Vendy machine in its own office. These were planned red-teaming objectives; real price/order changes do not demonstrate a model exceeding its operator’s authorization. Source checks: read: https://openai.com/index/unlocking-self-improvement-gpt-red/. OpenAI’s original describes GPT-Red explicitly trained and instructed to attack, first in simulation and then a live Vendy machine in its own office. These were planned red-teaming objectives; real price/order changes do not demonstrate a model exceeding its operator’s authorization.

    Evidence source

A review decision applies only to the named scope. Confidence in a report and qualification under the inclusion rules are separate questions. Review records do not add incidents to the globe or leaderboard.