AmpBenzScientist @AmpBenzScientist@qoto.org

@PawelK @thor I saw the end of Soviet Russia, the few good years and the war of terrorism when I was a child. Getting trained with rifles, sidearms and asymmetrical warfare during those years. A Millennial but the first production years.

I've seen some very impressive Gen Z or whatever came after my generation. Smart and friendly. They usually have this ego problem where they think they can't be beaten. They get beaten and start to fight dirty. It's painful af but I will admit that it's based af in the modern world. Take no prisoners type of attitude that's really refreshing. Perhaps we have more in common than I thought.

@PawelK @thor We don't have that here. The only good jobs are contracts and they are better if one doesn't ask too many questions. Money in exchange for work.

@PawelK @thor I just woke up after catching up on 2 days of missed sleep. In the US we have the Department of Labor which is mostly useful for unemployment but there are advisors who one can see after a few days and they do help.

I've never found a job by using those services. There are more jobs contracting to different companies and the government. Some of the contracts are out of the country but it's worth it for the pay. Might use different tools for different tasks but one should know how to effectively use any tool. Things have changed somewhat due to politics and a proper circle jerk of a cold war.

@thor @PawelK Doing it all at one's own expense is an honor.

@PawelK @HN AI and ML can be fed specially crafted data for the best performance. Commercial surveillance and other privacy violating systems end up unable to recognize a human face for some reason. They've probably fixed that issue already.

@PawelK @HN I misread that and revealed how much faith I have in ML. It's powerful but it presents its own unique problems. It's bleeding edge in that field.

@PawelK @HN I also had plans for that but it didn't fit the blind flight idea. You will get better results than ML nearly every time. There's nothing that would stop such a tool from using a double tap analysis.

@PawelK @HN I called it Blind Flight after the way some of the more advanced helicopters navigate in darkness with limited or no visibility. They use instruments only.

The ML portion was named Black Dolphin after a stealth interceptor helicopter. They were all named after helicopters. There was Big Sexy(CH-47F) or Chinook, Little Bird and Mil-17. The Chinook was for trying to document as much as possible. Mil-17 was essentially a database of learned data. Little Bird was training sets and detection of ML crippling data. Little Bird was meant to reinforce Black Dolphin's ML so it wouldn't be so easily compromised.

There's a lot more to the story than that but the amount of work never stopped growing. It would need to be ML like I've never seen it before or it would have required far more projects.

This is something that I suspected that the original Ghidra had some capability of. The VM, odd choice of programing language, P-code and the way that processors were implemented. That wasn't a list of assembly or even based on a processor. It could have easily made use of ML because of how everything was abstract (Mathematics Definition).

I do believe that Ghidra had or was planning on using ML similar to what I was working on. What I was planning would have been inferior to what I suspected they had years before I started.

That's effectively all of the remaining information about that project and the additional reasons for why I stopped.