The Download: tricking LLMs, and reviving geothermal plants
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…
In a recent paper presented at a prominent AI conference, researchers have uncovered a critical flaw in large language models (LLMs) that leaves them alarmingly susceptible to attacks. The fundamental flaw lies in how LLMs interpret the source of their instructions, allowing malicious actors to manipulate the models into generating sensitive information, such as instructions for synthesizing illicit substances or sabotaging aircraft navigation systems.
The researchers' findings highlight the inherent vulnerabilities of LLMs and emphasize the challenges of rendering them fully secure against hacking attempts. The implications of this discovery underscore the urgent need for enhanced security measures to protect these powerful AI systems from potential misuse.
Written by urgent.news from MIT Technology Review's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
