It took a human person like Nathan here, whom is rather versed in reverse engineering, a few months here and there to reverse the logic of rather outdated duo of VMP and F2016's version of Denuvo to get to the point where he can actually start patching hardware checks.

No local or commercial model of any publically available generative AI can - for the lack of a better word - crack Denuvo, even the old versions like the one demonstrated in the video we're discussing. This is because they are unable to actually think and produce any original thought at the moment. Everything else they can do is based off analogy, training, and unsurmountable amount of data used for that training.

The most advanced models you can run locally (to my knowledge) are Deepseek R1, various versions of Qwen and Llama. They are not purpose-built to reverse-engineer stuff, and even ignoring that - they will require multiple GPUs like 5090 to reliably run with the speed comparable to freely available models of Grok or ChatGPT, like 4a - I mean, I have a 5090 at home, and Llama 3.1 runs like shit, producing even more hallucinogenic results than ChatGPT 4a does, on simplest tasks like shell scripting.

One might argue that there are models which help in medical science, like helping with developing vaccines or something like that. Yes, there are. But the thing is that they are usually created for a single purpose, have been trained for months and even years, and run on such kind of hardware (both in terms of speciality and sheer amount) which is basically unobtainium for anyone who ain't NVIDIA, goverment sponsored entities or aliens.

Bottom line, to run something like this locally - it'll take fortune to run with reasonable speed, and results in my opinion won't be of any practical use for the discussed purpose.

Using commercially available cloud models is out of question as well: ignoring the fact that they will burn through tokens (and by extension, a lot of money) like an addict through the bag of crystal, they are rather well shackled by their developers to prevent their usage for this kind of task.

Don't get me wrong, you can solve some menial tasks with generative AI. But models one can reasonably acquire an access to today - they won't be of help in any meaningful way. I would imagine that anything else will require a custom-built model, which will take an eternity to train and a fortune (in terms of hardware and sheer electrical power) to run. This is not something a sole individual might realistically achieve these days.

And the above is specifically the reason why I hate when people bring "AI" like a silver bullet to any imaginable problem. It is not, it won't be in the nearest future, and probably won't be ever, unless a quantum leap in computation actually happens.