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I imagine you sitting there like Scotty, “Give me an ip address, not no colon, not no hexadecimal, and not no bloody double colon. Just 4 numbers between 0 and 255 with a dot in between.”
I imagine you sitting there like Scotty, “Give me an ip address, not no colon, not no hexadecimal, and not no bloody double colon. Just 4 numbers between 0 and 255 with a dot in between.”
I swear it’s going to be a generational change where it takes a slow adoption by the younger network people as the older network people slowly retire. Kind of like how racism and sexism has diminished. It wasn’t like we changed anyone’s mind, just that people held onto it until they died and younger people just said, “The future is now, old man.” and moved past it.
Look I’m not saying you’re wrong or anything just that I really don’t appreciate you stalking me.
https://en.m.wikipedia.org/wiki/Orchestrated_objective_reduction
Is this theory what you’re referring to? Just curious because it always seemed interesting to me but I’m not educated enough to even know how to approach the subject beyond going, “huh neat.”
Feel your pain. Did the same thing for about a decade and it wasn’t awesome. At the end of it I felt like all I did was commute, work, commute, and repeat the next day. Barely saw my family. Hope it gets better for you though!
At least it’s an affordable shithole!
This excludes all the ipv4 ips that have a 0 in the 2nd, 3rd, and 4th octets. Sorry but we’re going to have to revoke your Network Engineering credentials.
Dang I misread it as I turned 40 in March. Guess I am the sucker!
Sucker! I have a whole 6 months to figure it all out before I turn 40. I’m a terrible procrastinator so I’ll probably just wait until the night before to start really working on it though.
That’s just their fake accent so they won’t reveal their secret identity.
Poor Keanu Reaves gave up his childhood memories in Johnny Mnemonic to store something like 100GB of data in his brain. I don’t remember the Star Trek storage callout cause they were generally pretty good about just fabricating their own units for stuff (future sci-fi writers should take note, it’s always easier to make up units then deal with pedantic people on the internet).
So in the US when we want to make something illegal, and that thing happens to be a constitutional right, we levy a tax against it. Then we only issue tax stamps to very select few people, or simply refuse to issue them at all. NFA 1934 is one of those weird tax scheme that makes you obtain a $200 tax stamp to have certain types of weapons. They are heavily controlled and non-transferable without going through a similar process.
Here’s more info about it if you care to look into it: https://en.m.wikipedia.org/wiki/National_Firearms_Act
We also did this with Marijuana during that same time: https://en.m.wikipedia.org/wiki/Marihuana_Tax_Act_of_1937
First line of Bilbo Baggins’s birthday speech.
Basic system and web security might not seem important now, but let me tell you, if you adopt good cyber security practices early it will help you create a much more secure environment…
What’re you guys doing with those rocks?
The more you learn the less you know.
That’s a coal fired power plant. Specifically the John Amos power plant in W. Virginia.
You’re absolutely correct. Not to be confused with freeware which is more ambiguous and most often proprietary (though not always).
I think it was more poking fun at the fact that the developers, not the LLM, basically didn’t do any checks for edible ingredients and just exported it straight to an LLM. What I find kind of funny is you could’ve probably exported the input validation to the LLM by asking a few specific questions about whether or not it was safe for human consumption and/or traditionally edible. Aside from that it seems like the devs would have access to a database of food items to check against since it was developed by a grocery store…
I do agree, people are trying to shoehorn LLMs into places they really don’t belong. There also seems to be a lot of developers just straight piping input into a custom query to chatgpt and spitting out the output back to the user. It really does turn into a garbage in garbage out situation for a lot of those apps.
On the other hand, I think this might be a somewhat reasonable use for LLMs if you spent a lot of time training it and did even the most cursory of input validation. I’m pretty sure it wouldn’t even take a ton of work to get some not completely horrendous results like the “aromatic water mix” or “rat poison sandwich” called out in the article.
Fixed. Thanks!