Hilarious! I avoid asking it anything that requires logic as its has none being a MLLM.
Sure, feels legit sometimes though.
Actually, I have successfully gotten ChatGPT to write code for me like a password hashing algorithm with salt, and generate instructions for making an OpenSSL certificate.
I even managed to get it to document my code.
So I had this 500-line file with about 30 C++ functions in them, and it spat out Doxygen for every single one!
The only limitation is that it will stop printing stuff after a character limit so I either command it something like "finish what you were writing" or, if that just makes it repeat stuff again, send my functions to it in pieces.
What would normally take me the entire day and a load of coffee only took me 1 hour with an AI. I plan to document about 100 more (medium length) functions across 10+ files with it as well.
Seriously, if they're going to sell this thing for $200/year, it's definitely worth it for me (as long as they remove the character limit because it's a time sink).
I mean they are getting my money too, just not yet I kind of expect it to be cut off tomorrow.
The MLLM with doxygen is indeed
amazing if wipe_method == "quick":
subprocess.run(["shred", "-n", "1", "-v", d])
elif wipe_method == "7-pass":
subprocess.run(["shred", "-n", "7", "-v", d])
elif wipe_method == "nist 800-88":
subprocess.run(["shred", "-n", "1", "-x", "-v", d])
--------------------------------------------------------------
if wipe_method == "quick-Nist-800-80-1-pass-clean":
subprocess.run(["shred", "-n", "1", "-z", "-v", "-p", "-w", d])
elif wipe_method == "Nist-800-88-3-pass":
subprocess.run(["shred", "-n", "3", "-z", "-v", "-p", "-w", d])
elif wipe_method == "Nist-800-88-7-pass":
subprocess.run(["shred", "-n", "7", "-z", "-v", "-p", "-w", d])
elif wipe_method == "Nist-800-88-35-pass-Nuke":
subprocess.run(["shred", "-n", "35", "-z", "-v", "-p", "-w", d])
This is incomplete but gives you an idea of much you can elaborate on it.
by simply asking "what else could be added"
To me it ungated a lot of information, sure beats playing wack a mole on google Keywords/AdWords.
Now, I get a solution, I check it and implement it , if it doesnt work i poke why , and adjust from there instead of toiling in obscurity on google.
If I can't find out why through gpt, odds are its given me enough value to figure out the rest.
even this stoichiometric approach is much faster than anything I've ever tried in the past. making it the most valuable employee in the arsenal in my opinion.
It's a workflow consultant without even trying to be.
Just throwing it out there
https://github.com/doxygen/doxygen is free, however the way GPT packs and wraps it up can't really be beaten.