We should all be so lucky! Harbor Freight is where all my “Tryout” tools come from. If I break a Harbor Freight tool, then I spend the money on a real one. I’ve found some decent ones that way.
We should all be so lucky! Harbor Freight is where all my “Tryout” tools come from. If I break a Harbor Freight tool, then I spend the money on a real one. I’ve found some decent ones that way.
“Where does this green wire go?”
I appreciate HW engineers and techs. I’m not afraid of datasheets, circuit diagrams, or a mso and they’re always patient enough to explain things to me so I can make the rocks behave. Or at least tell me how to go from diagram to board lol.
That’s crazy. You can’t do six. It’s seven! SEVEN MINUTE ABS!
“the serial output from my test unit turns into garbage and it happens at completely random times!”
“Did you make sure they were plugged in all the way?”
“WHAT?!?! ARE YOU SUGGESTING I DON’T KNOW WHAT I’M DOING?!?!”
Some time later
“Yeah, it turned out to be the serial connection was loose.”
As someone with a small flock, this is empirically accurate.
It was pre-NCLB, I think they had a lot more freedom on curriculum then.
The chef states are (from North to South) Minnesota, Iowa, Missouri, Arkansas, and Louisiana. Those states, amongst others, grow a lot of food, Corn, wheat, rice, pork, beef, and soy, come immediately to mind. They’re certainly not the only ones, but they do a lot.
From 3rdish grade iirc, MIMAL (Minnesota, Iowa, Missouri, Arkansas, and Louisiana) is a man in a chefs hat making lots of food for the whole country. MN being the hat, LA being the shoes.
Good ol MIMAL.
It’s a surprisingly good comparison especially when you look at the reactions: frame breaking vs data poisoning.
The problem isn’t progress, the problem is that some of us disagree with the Idea that what’s being touted is actual progress. The things llms are actually good at they’ve being doing for years (language translations) the rest of it is so inexact it can’t be trusted.
I can’t trust any llm generated code because it lies about what it’s doing, so I need to verify everything it generates anyway in which case it’s easier to write it myself. I keep trying it and it looks impressive until it ends up at a way worse version of something I could have already written.
I assume that it’s the same way with everything I’m not an expert in. In which case it’s worse than useless to me, I can’t trust anything it says.
The only thing I can use it for is to tell me things I already know and that basically makes it a toy or a game.
That’s not even getting into the security implications of giving shitty software access to all your sensitive data etc.
Turns out everyone else online in the 90s and 00s got to meet Chris Hansen.
Beer Hall Putsch
It would be such a shame if some people who lived near there read this article but disregarded all the warnings printed clearly on it.
Source: I’ve been an embedded sw engineer for 10+ years
This seems like a pretty decent resource generally speaking. I’ll add this caveat though.
If your threat model includes anyone with large state level resources, you should stay very far away from anything with a radio in it. Wifi, Bluetooth, NFC, whatever, it doesn’t matter. It is possible for it to be compromised at a silicon level, which means you can never be sure it is fully secure.
You have to assume that anything transmitted via RF of any type is capable of being collected and compromised.
All that said, if your concern actually does include people with black helicopters, you already know this, and if it doesn’t, just remember that these technologies are getting cheaper and more ubiquitous all the time (see stingray), so be careful.
They’re they’re, it’ll be all right.
I have to eat 6 tablets if I eat ice cream. If I don’t, it’s three am vomiting for me. :/
Alas, I cannot grow hair on the top of my head, so I must grow it on the bottom.
“It’s not an ethnostate! Also, you’re racist if you criticize our ethnostate!”
Hoisted by my own petard!
That’ll work out well for them. Fascists are famously tolerant of people who are slightly different.