Because if you think someone is not already at work to use a GPT bot to create the next Stuxnet, you are fooling yourself.
Because if you think someone is not already at work to use a GPT bot to create the next Stuxnet, you are fooling yourself.
Which means that actually all of them are working on that. And some indie hackers too.
It's only useful when you have some cognitive work that you want to automate so it saves you time and you can do it on a large scale, but I don't think writing massive amounts of viruses is the goal here. The objective is to code very specific and particular viruses or exploits for very specific targets.
Also, writing code is only a small part of hacking, especially when it is against specific targets.
Why? You think ChatGPT will always remain at its current capabilities? Really?
Here's the thing: if you can do some activity from your keyboard, not far in the future some GPT bot will be able to do it better than you. Not only better than you, it will run circles around you.
It's a shame we live in a world where we can't just have a "super-smart" chatbot that can tell you everything from "how to make meth" to it's "hot takes" on various public figures. It's like having a really knowledgeable friend that is also fun to be around. Now it just sounds like an HR employee: superficial and safe.
I think the next challenge is to close the loop on ChatGPT and similar programs. So not only do they suggest code, then they run that code, see if it does what they expect and then fix that code.
We're nowhere near there yet.
I do get the code from ChatGPT, I run it, I give feedback to ChatGPT, I then fix the bugs GPT points out. This loop mostly works. Although it often needs external information in order to resolve some of the ambiguities.
Also ChatGPT apologizes when it is wrong, although it isn't always able to fix the issue.
I feel that some structure around this will cause ChatGPT + Github Copilot to jump up another order of magnitude in productivity/effectiveness. Maybe two orders of magnitude.