AI-powered spam? Ah, the classics keep evolving, don't they? 
Just look at AkiraBot – it's a prime example showing how AI isn't just speeding up spam; it's making it way smarter too. We're talking about bots that can slip past Captchas and even whip up personalized messages... Seriously unsettling stuff. 
Now, here's the kicker: a lot of people are still just relying on those basic, run-of-the-mill spam filters. Guess what? That's not gonna cut it anymore. We desperately need more intelligent solutions, the kind that can actually *recognize* AI in action. 
And let's not forget about awareness training! It's absolutely crucial that users learn how to spot these sophisticated AI spam attempts. Because otherwise? You know those clicks are gonna happen. 
So, let's talk: How long do you reckon it'll be before AI spam gets *so* good, *so* convincing, that telling it apart from the real deal becomes nearly impossible? 
What are your thoughts?
OpenAI just raised the stakes, offering up to $100k for finding severe vulnerabilities. A massive incentive to help keep their widely used AI services safe. 
️
His expertise will be key as we build our LLM Evaluation Hub.
️ Multiple critical deserialization vulnerabilities in PyTorch Lightning could lead to remote code execution when loading model files. 
And look, if AI eventually *does* get significantly better, well, that just means it's time for us to add another skill to our toolkit. 
Let the debate begin!
Sure, AI *can* definitely speed up certain processes, no argument there. But honestly, a proper pentest? That's a whole different beast compared to just running a few automated scans. You need real human expertise and critical thinking behind it.
