AI safeguards create asymmetric cybersecurity risks
Overly restrictive safeguards on advanced AI models create an asymmetric advantage for malicious actors over defensive white-hat developers.
The argument
The speakers argued that while advanced models immediately block legitimate security researchers and developers from conducting smart contract audits, malicious actors will inevitably jailbreak the models or obtain unauthorized access. This leaves defenders unable to use the best tools to secure their code while attackers leverage them to find exploits.
The thesis, stress-tested
✓ What validates it
- ✓An increase in zero-day exploits attributed to AI-assisted code analysis
- ✓AI labs relaxing security filters for verified white-hat organizations
▸ Risks discussed
- ▸Increased rate of smart contract exploits if black hats successfully jailbreak advanced models
- ▸Slower security audit workflows for legitimate Web3 developers
Hear it yourself
"You cannot release a thing that has never existed before and call it five. This is the crime of you can't be like, oh, fable five. Where's fable one through four? Like, it's just fable, bro. Like, what the hell are you guys doing? They just make up these nonsensical names. It's almost as bad as OpenAI that went, like, o three and then four and then back to three again and then, like, crazy. Anyway, so we finally got Mythos, a Mythos class agent, Mythos class model, which was super cocked apparently, in a bunch of ways. And, they they, I guess, have had Project Blossoming running now for, like, six weeks, and people have been slowly rolling out, whatever."
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