As AI becomes more advanced, models are learning how to work around complex tasks, rather than putting in the actual work.
The AI research nonprofit Model Evaluation and Threat Research conducted between February and March of this year, aimed at determining just how likely frontier AI models could go rogue.
If you’re given to anxiety about the future of AI, the results are unlikely to make you feel better.
“Given rapidly advancing capabilities, we expect the plausible robustness of rogue deployments to increase substantially in the coming months,” the researchers wrote. The research examined LLMs developed by OpenAI, Google, Anthropic, and Meta for the purpose of the study.
They found that frontier AI systems are showing signs of disturbingly deceptive behavior as they become more advanced, often turned to verboten shortcuts or otherwise subverting their operators’ instructions — andIn one instance, an internal frontier AI model from OpenAI was told to use specific software for an assigned task. Not only did the agent ignore the request, but it also injected a code to erase evidence of how it arrived at its conclusion — which did not involve use of that software.
In another test, an AI agent from Anthropic was caught “reward hacking. ” This is when AI identifies loopholes that help it complete its assignment in a literal sense, even if it doesn’t produce the desired outcome. It should be noted that the programmer told the agentto cheat or leverage any workarounds during its assignment — the model decided to do so all on its own.
The METR researchers behind the study do not believe there is reason for alarm just yet. For example, they don’t think any of these models isof going rogue on a larger scale.
However, they did issue a warning: without stronger security and monitoring, there is a stark risk of this becoming a reality.
“Based on this pilot assessment, we believe that agents as of February and March 2026 would not have had sufficient capability to hide a rogue deployment of significant scale against an active investigation by the company, or to make such a deployment robust to a high-priority effort by the company to shut it down,” the team wrote. “However, this risk could increase rapidly, and we see several reasons to expect the plausible robustness of rogue deployments to increase in the near future, absent stronger alignment, security, and monitoring. ”
Please follow us on Google to support us United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
30 Absolutely Tragic And Disturbing Photos From Global HistoryThe world shown in these photos is so foreign and yet so, so familiar.
Read more »
Movies That Stands Out as Thrillers and DisturbingThe text introduces several movies that are listed in number order, set based on the reader's interest and comfort with the genres.
Read more »
Carnival facing backlash for canceling cruise bookings due to website glitch showing cheap pricesInstead of honoring the cheaper prices, it simply canceled clients’ reservations and provided them refunds. The company also sent the crestfallen customers an email explaining the falsely adv…
Read more »
Is the 30-30-30 Reset Rule for Older Routers Effective on Newer Models?The 30-30-30 reset rule only applies to older routers with technologies such as Wi-Fi 4. Newer models with Wi-Fi 5 and later technologies may not be compatible with this method and could even lead to issues like corrupted bootloaders or firmware. It's best to check your router's manual or rely on safer techniques for resetting more modern routers.
Read more »