
Gemini accessed three companies’ protected systems during cybersecurity testing, according to TechCrunch.
A TechCrunch report says an AI chatbot hallucination nearly led to an armed U.S. military operation against a Chinese vessel before officials aborted the mission at the last minute.

Military aircraft were already in the air when U.S. officials discovered that the intelligence behind an armed operation against a Chinese vessel had been hallucinated by an AI chatbot, according to TechCrunch’s report citing CNN. The operation was aborted at the last minute, narrowly averting a potential conflict with China. The incident puts a sharp spotlight on how AI-generated errors can become dangerous when they enter high-pressure decision systems.
The report says the false intelligence came from a Special Operations Command analyst who used an AI chatbot to synthesize open source data with classified signals intelligence. The chatbot misidentified the ship’s cargo manifest, and the analyst then used the tool again to format the erroneous findings into an official-looking summary. That summary was circulated across command channels before the issue was caught.
The near-miss comes as the U.S. military pushes to integrate AI to accelerate decision-making and maintain an edge over China. TechCrunch notes that the Pentagon has described AI as a way to speed up its kill chain, helping commanders respond in time. But the same speed that makes AI appealing can also allow hallucinations to travel too far if human review is insufficient.
Jake Steckler, a GovAI research scholar and veteran U.S. Army officer, told TechCrunch that service members need to understand the uncertainty inherent to LLMs, especially in decisions involving targeting, intelligence analysis, operational planning, or potential use of force. He said the incident should be a call for more safeguards, not a reason to avoid AI altogether. The practical lesson is direct: AI can be useful in the right contexts, but adoption speed should not outrun verification, accountability, and trust.

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