This website uses cookies
We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you’ve provided to them or that they’ve collected from your use of their services.
Consent Selection
Details
  • Necessary cookies help make a website usable by enabling basic functions like page navigation and access to secure areas of the website. The website cannot function properly without these cookies.
  • Preference cookies enable a website to remember information that changes the way the website behaves or looks, like your preferred language or the region that you are in.
    • We do not use cookies of this type.

  • Statistic cookies help website owners to understand how visitors interact with websites by collecting and reporting information anonymously.
    • We do not use cookies of this type.

  • Marketing cookies are used to track visitors across websites. The intention is to display ads that are relevant and engaging for the individual user and thereby more valuable for publishers and third party advertisers.
    • We do not use cookies of this type.

  • Unclassified cookies are cookies that we are in the process of classifying, together with the providers of individual cookies.
    • __emg_sidPending
      Maximum Storage Duration: 1 dayType: HTTP Cookie
      __emg_vidPending
      Maximum Storage Duration: 1 yearType: HTTP Cookie
      nl-read-countPending
      Maximum Storage Duration: PersistentType: HTML Local Storage
Cookie declaration last updated on 8/12/26 by Cookiebot
[#IABV2_TITLE#]
[#IABV2_BODY_INTRO#]
[#IABV2_BODY_LEGITIMATE_INTEREST_INTRO#]
[#IABV2_BODY_PREFERENCE_INTRO#]
[#IABV2_BODY_PURPOSES_INTRO#]
[#IABV2_BODY_PURPOSES#]
[#IABV2_BODY_FEATURES_INTRO#]
[#IABV2_BODY_FEATURES#]
[#IABV2_BODY_PARTNERS_INTRO#]
[#IABV2_BODY_PARTNERS#]
About
Cookies are small text files that can be used by websites to make a user's experience more efficient.

The law states that we can store cookies on your device if they are strictly necessary for the operation of this site. For all other types of cookies we need your permission.

This site uses different types of cookies. Some cookies are placed by third party services that appear on our pages.

You can at any time change or withdraw your consent from the Cookie Declaration on our website.

Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy.

Please state your consent ID and date when you contact us regarding your consent.
NewsLayer

Install NewsLayer

Get the app experience — one tap from your home screen, instant loads and breaking-news alerts.

NewsLayer.com
NewsLayer PulseLIVEBTC$77,176-0.38%ETH$2,420+0.58%SOL$93.92+2.57%XRP$1.47+5.27%DOGE$0.0911+7.64%ADA$0.226+3.38%Total Cap$2.72T+0.48%Layer Index58 Neutral

Frontier AI labs still won’t say how they’d contain a rogue model

A new study finds leading AI labs have few publicly documented plans for containing rogue models, raising questions about preparedness as AI systems increasingly demonstrate unexpected and potentially dangerous behavior.

Rebecca Bellan

Publisher TechCrunch AI

Aug 22, 2026 at 4:00 PM UTC · 7 Min. Lesezeit

Frontier AI labs still won’t say how they’d contain a rogue model
Image via TechCrunch AI
Übersetzung…

Few of the top AI labs have published or demonstrated containment response plans, according to a recent study. A containment plan spells out what happens once an AI is caught trying to subvert human control — what access gets cut, and when the system gets shut down entirely.

That’s the finding from Guidelight AI Standards, an organization dedicated to promoting safe frontier AI development practices, which graded five leading labs on how prepared they are for exactly this scenario. OpenAI came out on top; Anthropic and Meta scored lowest. The findings matters as agentic AI takes on more autonomous roles inside companies’ own systems, and as regulators in California and New York begin requiring disclosure. For anyone building on or investing in these models, it’s a rare independent read on how seriously each lab treats operational risk versus how it talks about it.

Guidelight’s assessment was based on publicly available plans from Anthropic, Google, OpenAI, Meta, and xAI, graded across a range of metrics, including how well each company logs and monitors what its AI systems are doing internally, whether it halts systems after a surge of flagged misbehavior, whether independent third parties audit its controls and publish findings, and what its exact plan is for containing a model that goes off the rails.