I'm not sure you're going to see different outcomes with discussion this time around.
It's way too much text, branching out to explain too many things, has LLM-ism flavours to many sentences, and the AI generated images are not additive to your content.
For me to read it, it would need to be very much trimmed down in size (at most to 25% of current size) and punctual on what you've done instead of all the things that sidetrack the article.
I agree with the cutesy images, but for the rest ... it's called a deep dive, and it delivers. 25% of it might still have enough context about the bug and exploit, but would lose on the journey the OP went through to get to that point.
well it is a deep dive if i just shrink its size to 25% it would be the same thing that already exists around, calif itself did an article on it and there are thousands of articles around that say little to nothing about it, they just explain the thing on the surface so honestly i dont see the purpose on doing another thing like that, this is meant to show everything in detail, i know not lot of people will read it, it was not made to be read by a mass audience but the few that will at least i hope that they will deeply understand what's happening. for the images well since its a long writeup i tried to make it a little less boring by taking some inspiration from how Calif's Research Lab presents their work, cause i've always found there way of showing things intresting and its different than everything else out there, in the end the writeup has my personality on it and when i write something i always like to do it in my own way.if I showed you my internship reports, university presentations and other writeups, you'd probably notice the same style I just like doing things in a way that I enjoy.
I agree that it's way too long and difficult to find the value in. One of the key features of a lot of good longer-form informational writing is that it goes around a subject before it goes into a subject. This takes many forms (and is, indeed, kind of fractal), but on its most basic level it's the "this is what I'm going to tell you, here let me tell you, now this is what I told you" pattern. And I say "fractal" because it applies not just to the whole thing, but to every chapter, and so forth. Even paragraphs often bear this structure.
When I don't know what you're going to tell me, I lose interest. When I hit descriptions of memory freeing right away, I don't know: are we going to blather in the weeds about pointers or malloc or ... ? When am I going to get to the part that's new to me? Etc. It's just hard to read, if I don't have to read it.
LLMs make this a whole lot worse because they don't need context like human readers and authors do. They can just jump right in. So they don't care, and they won't flag this, and if you end up writing for them, your writing won't be valuable to humans who need to learn.