Three approaches to the issue of quantum results that can't be verified classically.

Plus, a new policy for the AI protocol ensures features aren't removed suddenly.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A fundamental flaw leaves LLMs strikingly vulnerable to attack  It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a…

It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the safety of this technology, which…

HAWK withstood years of testing that had yet to uncover a fatal weakness found through Mythos.