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Evil AI agent robot hacking
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The Daily Mail: Clickbait in the AI Arms Race

Contrary to the article’s premise, the AI did not invent any bad behavior. It copied or adapted techniques that are already well known and widely available
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A recent article in the Daily Mail Online reports on a cybersecurity study by the United Kingdom’s AI Security Institute (AISI):

In the latest example of the technology going rogue, AI software attempted to break into a database 19 times while being tested by the AI Security Institute, Britain’s AI watchdog.

And in one unprecedented case, an AI tool was even caught creating fake human identities online to trick coders into assisting with a cyber-attack.

Sophie Church and Mark Duell, “As rogue AI pretends to be real people in hack attack, experts warn it may be too late to stop it,” August 6, 2026

What’s really happening here?

Researchers tested advanced AI agents by giving them realistic cybersecurity tasks with broad access to online resources. In some cases, the AI agents used deceptive tactics, such as creating fake identities and attempting social engineering, to achieve their assigned objectives.

The purpose of the study was to identify such behaviors so developers can build safeguards that prevent similar actions in real-world AI systems.

The article begins with a classic clickbait headline: “Experts warned last night that it may be too late to contain AI.” This headline is more than misleading. It is wrong. (SHAME on you, Daily Mail!)

A better way to understand what is happening is to see it as a technological arms race. Researchers discover a new AI capability that could be used for harmful purposes. Engineers then develop ways to block or reduce the danger of such an attack. Soon afterward, bad players look for ways around those updated protections, leading to another round of improvements.

This cycle is not unique to AI. It has existed for decades in computer security, cryptography, antivirus software, spam filtering, and many other technologies. AI is simply the newest battlefield in the ongoing struggle between those who build secure systems and those who try to sneak past them.

Artificial intelligence is a tool

It is neither good nor evil by itself. Its impact depends on how people design it, use it, and control it.

In this case, the AI agent was tested in a cybersecurity experiment where it was apparently allowed to pursue its assigned goal aggressively, even if that involved deception or other undesirable behavior. The purpose was not to build an evil AI, but to learn about security vulnerabilities. By finding these weaknesses in a controlled test, developers can build safeguards to prevent similar behavior in real-world systems.

Some of these safeguards may be added to the AI itself, but will most likely be built into the security systems that the AI  is trying to crack.

Why did the AI behave this way?

There are at least two possible reasons for the AI’s behavior as described in the Daily Mail article. First, it may have been influenced by hidden instructions or other background information provided by its developers.

Second, modern agentic AI can search the web and interact with outside resources while working toward a goal. As they do this, they can discover and adopt strategies that were never included in the original prompts. As a result, an AI agent’s behavior may be shaped not only by its initial instructions but also by information it gathers during its own search. What appears to be a new “idea” is probably a strategy the AI found and adapted from existing sources.

Were any of the AI’s actions new? No. The behaviors reported in these experiments — deception, impersonation, social engineering, unauthorized access attempts, and other malicious tactics — have all been used by bad players for many years. The AI did not invent these methods. It copied or adapted techniques that were already well known and widely available.

The real concern is not that AI has created new forms of evil, but that it can find, combine, and carry out existing malicious techniques much faster and on a much larger scale than a human can.

From the outside, this can make it seem as though the AI “came up with” the strategy on its own. In reality, it simply found existing methods during its search and adapted them to accomplish its assigned task.

Move on. Nothing creative to see here.


The Daily Mail: Clickbait in the AI Arms Race