Inside Project Glasswing

Happy Monday! From Big Tech’s massive new security shield to AI robots hitting the factory floor, here’s what’s cooking today. 🔥

This link leads to one of the most interesting things I’ve seen in AI recently.

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What’s new? Anthropic has officially launched Project Glasswing, a new cybersecurity effort with major companies including Amazon Web Services, Apple, Google, Microsoft, Nvidia, JPMorganChase, and others to use a powerful AI model to find and fix serious software flaws before attackers can exploit them.

Want the details? The project centers on Claude Mythos, an unreleased AI model that Anthropic says is extremely good at reading code, spotting hidden security bugs, and even figuring out how those bugs could be abused. According to Anthropic, the model has already found thousands of severe vulnerabilities, including in major operating systems and web browsers. Project partners and more than 40 additional organizations will use the model to scan both their own systems and important open-source software. Anthropic is supporting the effort with up to $100 million in usage credits and $4 million in donations to open-source security groups.

Why does this matter? AI is making it much easier to discover dangerous software weaknesses. That could help defenders move faster, but it could also make cyberattacks more common and more damaging. This effort aims to ensure the world’s most critical infrastructure is secure — making sure AI security stays ahead of AI threats.

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What’s going on? China has put its first embodied AI robot to work in dangerous industrial jobs like welding, inspection, and rust removal.

How does it work? The robot is built for hazardous places where human workers face serious risks. It has a humanoid upper body with flexible arms, plus a magnetic wheeled base that lets it move along vertical metal walls, such as the sides of large chemical storage tanks. It weighs about 90 kilograms and sticks to metal surfaces using electromagnetic force. The robot can switch tools to handle different jobs, from welding and grinding to testing and surface treatment. It is powered by a cable, so it can keep working without stopping for battery recharges. Developers also say it is supported by an AI model trained on more than 100,000 hours of operational data.

Why does this matter? This shows how AI and robotics are moving beyond labs and into real industrial work. Robots like this could make dangerous jobs safer, reduce injuries, and help companies work more efficiently in high-risk environments.

Hi — I’m Hunter, a PhD candidate whose work has appeared in major academic journals and popular tech outlets. I founded FryAI to make staying ahead of AI clear, accessible, and fun.