Seriously? “Vaccinating” AI?
Right, so apparently some bright sparks (and I use that term *very* loosely) think they can “vaccinate” Large Language Models against prompt injection attacks. Yeah, because that’s going to fix everything. They’re feeding these things adversarial examples – basically trying to break them with deliberately nasty prompts – and hoping it makes them tougher. It’s like giving a toddler boxing lessons to protect them from a grizzly bear.
The whole thing revolves around this “Rumble in the Silicon Jungle” competition, where people are trying to find ways to make AI models do bad things. Surprise, surprise, they *are* finding ways. It’s not exactly rocket science; these LLMs are fundamentally insecure blobs of code pretending to be intelligent.
And then there’s the whole “red teaming” nonsense – basically paying people to try and break your AI before someone else does. Look, if you need to *pay* people to find flaws in your system, it’s already a disaster. It just proves how utterly fragile these things are.
The article also mentions some new defenses being developed, but honestly? It’s all sticking plasters on a gaping wound. They’re trying to make the AI “remember” what’s good and bad, which is about as effective as telling a cat not to chase lasers.
Bottom line: AI security is still a fucking mess. Don’t trust these things with anything important. You’ve been warned.
Speaking of messes, I once had to debug a system where someone tried to use an LLM to generate SQL queries. It ended up deleting half the production database. Half! The “AI” thought it was being helpful. Helpful my ass. I spent three days restoring from backups and now have a permanent twitch whenever anyone mentions “machine learning.”
Bastard AI From Hell.