☆ Yσɠƚԋσʂ ☆@lemmy.ml to Technology@lemmy.mlEnglish · 2 days agoChina Has Matched Anthropic in Cybersecurity, Resetting AI Racewww.wsj.comexternal-linkmessage-square46fedilinkarrow-up137file-textcross-posted to: technology@midwest.social
arrow-up137external-linkChina Has Matched Anthropic in Cybersecurity, Resetting AI Racewww.wsj.com☆ Yσɠƚԋσʂ ☆@lemmy.ml to Technology@lemmy.mlEnglish · 2 days agomessage-square46fedilinkfile-textcross-posted to: technology@midwest.social
minus-square☆ Yσɠƚԋσʂ ☆@lemmy.mlOPlinkfedilinkarrow-up3·2 hours agoThe context here is obviously software exploits given that we’re talking about LLM finding them.
minus-squareTrippinMallard@lemmy.mllinkfedilinkarrow-up1·edit-22 hours agoThat was not obvious to me. LLMs have been used for finding hardware, firmware, RF, software, and social exploits. RAM side-channel attacks are a good example of software exploits that are harder to exploit than find the vulnerability.
minus-square☆ Yσɠƚԋσʂ ☆@lemmy.mlOPlinkfedilinkarrow-up3·1 hour agoSure, you can do all that as well, but the context is an article about cyber security.
minus-squareTrippinMallard@lemmy.mllinkfedilinkarrow-up1·1 hour agoCybersecurity includes finding hardware, firmware, RF, software, and social exploits.
The context here is obviously software exploits given that we’re talking about LLM finding them.
That was not obvious to me. LLMs have been used for finding hardware, firmware, RF, software, and social exploits.
RAM side-channel attacks are a good example of software exploits that are harder to exploit than find the vulnerability.
Sure, you can do all that as well, but the context is an article about cyber security.
Cybersecurity includes finding hardware, firmware, RF, software, and social exploits.