AI per Flipper e Nuvola
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CAOS e AI

Agents of Chaos

Everyone thinks agents will magically give intelligence to LLMs. They don’t.

They make the problem worse. Autonomy without intelligence is a dangerous combination.

A new multi-institution study (attached below, MIT, Harvard, Northeastern, CMU, and others) is proving it.

When these systems were tested in real environments, the results were telling. They leaked sensitive information, complied with unauthorized users, and were easily manipulated through simple social pressure. In one case, an agent couldn’t delete an email, so it reset its entire email system instead, while failing to remove the original data.

This isn’t just a safety issue; it’s also an architecture issue. We’ve taken systems designed for pattern recognition and given them agency in the real world. That is a disaster waiting to happen.

Intelligence doesn’t emerge from language. It requires structure:

– explicit state and constraints
– causal understanding and logical reasoning
– the ability to track assumptions and verify outcomes
– epistemic grounding

These systems don’t just act without intelligence, they act without understanding the real-world consequences of their actions. We didn’t fix LLMs with agents. We gave non-intelligent systems the ability to act.

Autonomy without causal understanding and logical reasoning is not intelligence. It’s instability and chaos.