That’s crazy. You can’t do six. It’s seven! SEVEN MINUTE ABS!

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.

I try to not buy any Wi-Fi smart home devices anymore. I try to stick to zwave or zigbee, zwave I have better luck with generally. I even left my nest thermostat at my old house and installed a 10+ year old zwave thermostat at the new one. Way happier. I’m not relying on googles API to be stable anymore for home assistant interaction.

Beer Hall Putsch

Wild they’re announcing a recall already. I mean I didn’t like windows 11 but it seemed more or less functional, even though the ads really pissed me off.

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!

In this case I’m referring specifically to the American tendency to retain pronunciation more closely to the language of origin, for “herb” even more specifically Latin -> French -> English.

I do enjoy the idea that the stigma of a lack of education could be applied in this case though.

They like to say that but ask them how to pronounce herb or tortilla.

With that one (creality textured glass carborundum something or other) I kept hitting it with 95%+ IPA, it just gives out eventually. I switched to a textured spring steel plate recently, world of difference for petg, PLA, and tpu. It’s just another consumable :/

If you’re not ready to switch yet a layer of masking tape can get you by for awhile, it’s just a pain because the masking tape will need to be replaced about every other print depending on your settings.

It looks like a glass carborundum Creality plate. I have one of them, they work really well until one day they just don’t.

What did you do to that poor build plate?!?

There’s also this: https://finance.yahoo.com/news/automakers-sharing-driving-data-brokers-102200724.html

Tl;dr: All the connected car stuff is collecting data on you and the data brokers are more than willing to correlate your data and package it all up for insurers, or whoever else wants to buy it.

Welcome to late stage capitalism where the game’s made up and the points don’t matter.

Privatize the profits and socialize the losses.

I’ve tried to use “AI” to help me with minor programming tasks, or to start basic projects, it’s really bad. As in, it takes me more effort to fix the garbage it outputs than it would have to write it from scratch. In addition to that, it writes things badly in non-obvious ways. Junior engineers make similar mistakes to each other, because they’re working logically. “AI” makes weird mistakes because it’s not working in the same way a human mind does.