Yeah like if it even partially functions as intended, it is not a brick. I once attempted flashing firmware to a motherboard, only for my power to go out midway through. Kaput, $200 down the drain, I no longer had an electronic device, I had the world's most expensive paperweight.
joshcodes
All goof, enjoy your alternatives!
I've read your update but try Terminator. You use alt + arrow keys to navigate multiple on screen terminals, create new ones with ctrl+e/o and its my favourite. I highly recommend giving it a try!
I'm thinking data entry for threat hunters, and integrations with our other platforms apis but I couldn't say anything specific. SSDs are a good shout, I might have tried setting it up with hdds if you hadn't said.
Did you find it easier to add connectors in seperate docker containers or within the main octi container?
It feels like there's a pretty high ceiling for this platform and the data you can generate. Do you find it easy to create good data? Do you have any habits?
I'm pretty keen to learn so feel free to answer what you can.
Really don't care much about my cv. This program is a great way to learn about the STIX protocol so no idea what you mean about "no actionable skills". STIX is an interesting information sharing method, the program is well designed to educate the user on it and seeing the format it imports and exports data will teach me a buttload.
More to the point, maybe could you be less cynical and share some advice. I'm not going to flex my qualifications cos they're mediocre but I've got smart people around me who just don't know this particular program and I'm interested to hear from those who do.
Do you run this program at work or at home? Have you learned anything interesting from using it? Are there avoidable mistakes I could not repeat from hosting it? Answers to those questions would be very useful.
I dont see myself doing too much configuration with connectors to begin with which brings some of the difficulty down. I was asking to see if others run anything similar in their home configuration. I've met people who run MISP from home before so it sounded feasible to me.
I was also looking for the community aspect of this, I already knew they had a docker-compose config. I wanted to know who had attempted this before and what they'd learned, that sort of thing.
In the update settings she can reset her apt sources back to "default". It's not too hard and there's a gui throughout the process (from memory).
The package conflicts is an interesting one, if you have the time to post one of these on lemmy I'm sure someone will suggest a fix. It's probably a apt install --fix-broken
or something simple (hopefully) but I'm sure we could work it out.
Totally agree that these are annoying issues though. See if you can use Nala, it's a TUI front end for Apt and it's got some nice user changes like if you run upgrade it updates and upgrades. It also has a fetch feature which finds nearby sources, so you're always downloading from the closest/fastest source.
Highly recommended Automate the Boring Stuff. It'd a free tutorial on YouTube and you learn things like printing, using numbers, then opening files and manipulating data. It's useful straight away.
I recommend this to everyone I meet in tech, it's really good to learn linux and file system skills
Fair enough. I used to use Manjaro and it broke, cannot remember why. I moved to ubuntu sometime later and I've never left. Some would say that makes me a bad linux user, I would say I use an operating system that gets out of my way and let's me use it. Use whatever tool gets the job done fastest!
Studied AI at uni. I'm also a cyber security professional. AI can be hacked or tricked into exposing training data. Therefore your claim about it disposing of the training material is totally wrong.
Ask your search engine of choice what happened when Gippity was asked to print the word "book" indefinitely. Answer: it printed training material after printing the word book a couple hundred times.
Also my main tutor in uni was a neuroscientist. Dude straight up told us that the current AI was only capable of accurately modelling something as complex as a dragon fly. For larger organisms it is nowhere near an accurate recreation of a brain. There are complexities in our brain chemistry that simply aren't accounted for in a statistical inference model and definitely not in the current gpt models.