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.
I guess I snuck in before they were looking. Maybe I didn’t have the threshold for them to give a shit. A 250k karama and a 100k karma account were my big ones. I killed them back in 2020 though, so the AI craze hadn’t hit yet. Guess they don’t want their investors to freak out when they find out they’re basically investing in a dead site.
Dear lord 2015/2016 was like the sharp decline after a long slope downward in my opinion. Might be showing my age but peak reddit to me was prior to reddit gold and vote fuzzing.
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.
To where? Like where you gonna go that is more suitable than where we already are? You gonna rocketship your ass to Mars? Cause even with global warming earth is still more hospitable than a rocky desert with no oxygen. A bigass bank account with lots of zeros isn’t gonna keep anyone out of the we’re collectively fucked line. Sure it might get you a spot at the back of the line, but we’re all getting in it together no matter who you are.
The more you learn the less you know.
That’s a coal fired power plant. Specifically the John Amos power plant in W. Virginia.
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!