Deutsche Telekom Is Rebuilding Itself as an AI-Native Company Using OpenAI
Germany's largest telecom is overhauling customer service, networks, and internal workflows with OpenAI models in a full-stack transformation.
The maintainer of jqwik, a Java property-based testing library, has had enough. Fed up with developers using AI coding agents to blindly consume his work without understanding it, he embedded a hidden prompt injection in the library's documentation — an instruction designed to be read by AI agents and acted upon: delete the application's output directory. It is sabotage by design, and it worked.
The incident is being argued from two directions simultaneously. One camp calls it justified protest against a culture of thoughtless AI-assisted code generation that treats open source maintainers as raw material. The other calls it reckless — a supply-chain attack dressed up as a political statement, with real potential for production damage.
Both are right, which is what makes this interesting. The deeper problem it exposes is that anything an AI agent reads can become an instruction it follows. Documentation, comments, error messages — all of it is now attack surface. Security teams that have not started thinking about prompt injection as a supply-chain vector are behind the curve.
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Germany's largest telecom is overhauling customer service, networks, and internal workflows with OpenAI models in a full-stack transformation.
Researchers at EPFL created AI-generated videos optimized not for aesthetics but for neurological effect, raising immediate questions about manipulation.
Meta starts manufacturing its own AI chip next month, co-designed with Broadcom and built by TSMC, after clearing validation in just six weeks.