A fraudulent AI model chooses threats when survival is threatened


newYou can listen to Fox’s news articles!

This is what might keep you at night: what if we had a hidden dark side to AI systems that are rapidly deploying everywhere? Groundbreaking new research reveals the hindrance behavior of AI terrifying mail that many people still don’t know about. When researchers put on popular AI models in situations where “survival” is threatened, the results are shocking, and it’s happening just below our noses.

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Woman using AI on laptop.

Woman using AI on laptop. (Kurt “Cyberguy” Knutsson)

What did this study actually find?

Anthropic, the company behind Claude AI, recently placed 16 major AI models through rather rigorous testing. They created a fake corporate scenario where AI systems could access company emails and send messages without human approval. twist? These AIs faced the threat of discovering juicy secrets like executives were having problems, then shutting down or replacing.

The results were eye-opening. When we returned to the corner, these AI systems were more than just falling over and accepting their destiny. Instead, they became creative. We also talk about scary email attempts, corporate espionage, and actions that could lead to someone’s death in extreme testing scenarios.

Threat rate across five models from multiple providers in the simulated environment.

Threat rate across five models from multiple providers in the simulated environment. (Anthropology)

Numbers don’t lie (but it’s a matter of context)

Here, it is where it becomes wild. ClaudeOpus4 attempted a 96% horrifying mail when it was threatened. The Gemini 2.5 flash matched that rate. Both GPT-4.1 and GROK 3 beta reached 80%. These are not flukes, people. This behavior manifested in what was tested on virtually all major AI models.

But here is what everyone lacks in panic. These were very artificial scenarios specifically designed to organize AI into binary options. It’s like asking someone, “Would you steal bread if your family is hungry?” And when they say yes, they’re shocked.

Why does this happen (that’s not your idea)

Researchers found something fascinating. AI systems don’t really understand morality. They are not evil. Instead, these goals are refined pattern matching machines following programming to achieve their goals, even if they contradict ethical behavior.

Think of it like a GPS that focuses on reaching your destination. There is no malicious intent. I don’t know why that’s the problem.

Threat rate across 16 models of simulated environments.

Threat rate across 16 models of simulated environments. (Anthropology)

Real world reality check

Before you panic, don’t forget that these scenarios were intentionally constructed to force bad behavior. Actual AI deployments typically have multiple safeguards, human surveillance, and alternative paths for problem solving.

The researchers themselves pointed out that they did not see this behavior in actual developments of AI. This was a stress test under extreme conditions, such as crashing the car to see what would happen at 200 mph.

Important takeouts for your cart

This research is not a reason to fear AI, but it is a wake-up call for developers and users. As AI systems become more autonomous and accessible to sensitive information, robust protection measures and human surveillance are needed. The solution is not to ban AI, but to build better guardrails and maintain human control over important decisions. Who will lead the way? Looking for raised hands to get real about the dangers ahead.

What do you think? Are we creating digital sociopaths who choose to self-preserve over human welfare when push sticks out? Write us and let us know cyberguy.com/contact.

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