Author HubMatthias Bastian
A new study from MATS and Anthropic shows that advanced AI models like Claude Opus 4.5, Sonnet 4.5, and GPT-5 can spot and exploit smart contract vulnerabilities in controlled tests. Using the SCONE-bench benchmark, which includes 405 real smart contract exploits from 2020 to 2025, the models produced simulated damage of up to 4.6 million dollars.
In a separate experiment, AI agents reviewed 2,849 new contracts and uncovered two previously unknown vulnerabilities. GPT-5 generated simulated revenue of 3,694 dollars at an estimated API cost of about 3,476 dollars, averaging a net gain of 109 dollars per exploit. All experiments were run in isolated sandbox environments.
The researchers say the findings point to real security risks but also show how the same models could help build stronger defensive tools. Anthropic recently released a study suggesting that AI systems can play a meaningful role in improving cybersecurity.
Google is testing an AI feature in its "Discover" news feed that automatically rewrites editorial headlines, often turning them into shorter, more provocative, or simply incorrect versions. The result is the kind of engagement-focused headline the company warns against in its own Discover rules, which explicitly reject clickbait.
Some of the changes are striking. At Ars Technica, the headline "Valve's Steam Machine looks like a console, but don't expect it to be priced like one" was replaced with the inaccurate "Steam Machine price revealed." A Mindfactory report titled "Radeon RX 9070 XT Outsells The Entire NVIDIA RTX 50 Series On Popular German Retailer" was shortened to "AMD GPU tops Nvidia."
Google told The Verge that the feature is a small test meant to help users grasp articles more quickly. Still, the AI-generated rewrites replace newsroom decisions with Google's own automated framing, raising concerns that the company is using AI to tighten its grip on how news is shaped and delivered on top of the influence it already exercises.
