I don’t know what causes the difference, I just compared the first nutrition breakdown of rendered pork fat I could find to a recent USDA publication. I’m under the impression that we mostly grow different breeds of pork, on bigger farms, using a more consistent food blend, so pretty much everything has changed in that time.

There’s a lot of answers here, but I don’t think anyone said the magic words. To reseason cast iron, you need an oil high in poly-unsaturated fatty acids. Those are the kind that can chain together, and form a good polymer coating.

The thing that trips me up most about this subject is that 140 years ago, pork fat was very good for seasoning cast iron. Today, it isn’t, because the composition of the fat has changed significantly.

The best seasoning coats will be thin, not appear or feel oily, give the pan a dark color slightly more glossy than an eggshell, and resist mild detergents, metal spatulas, and heat high enough to sear a steak on. If you have a layer of loose stuff in the pan, that’s just a layer of gunk, and is probably adding some weird flavors to anything you cook.

What we have done is invented massive, automatic, no holds barred pattern recognition machines. LLMs use detected patterns in text to respond to questions. Image recognition is pattern recognition, with some of those patterns named things (like “cat”, or “book”). Image generation is a little different, but basically just flips the image recognition on its head, and edits images to look more like the patterns that it was taught to recognize.

This can all do some cool stuff. There are some very helpful outcomes. It’s also (automatically, ruthlessly, and unknowingly) internalizing biases, preferences, attitudes and behaviors from the billion plus humans on the internet, and perpetuating them in all sorts of ways, some of which we don’t even know to look for.

This makes its potential applications in medicine rather terrifying. Do thousands of doctors all think women are lying about their symptoms? Well, now your AI does too. Do thousands of doctors suggest more expensive treatments for some groups, and less expensive for others? AI can find that pattern.

This is also true in law (I know there’s supposed to be no systemic bias in our court systems, but AI can find those patterns, too), engineering (any guesses how human engineers change their safety practices based on the area a bridge or dam will be installed in? AI will find out for us), etc, etc.

The thing that makes AI bad for some use cases is that it never knows which patterns it is supposed to find, and which ones it isn’t supposed to find. Until we have better tools to tell it not to notice some of these things, and to scrub away a lot of the randomness that’s left behind inside popular models, there’s severe constraints on what it should be doing.

Cost is obviously a big factor. Almost every printer can change to any nozzle size and layer height for just the cost of the nozzle. Print volume is a major limitation, depending on your use case. The filaments it can print will probably be the same across any relatively low cost printers, with the only significant change being direct drive vs. Bowden.

Bed leveling is huge, and makes probably the most difference in print quality on low cost printers these days. If there’s an easy way to tension the belts, that’s a plus. If there isn’t a power switch on the front (or even if there is), a emergency stop switch can be a help, like if the nozzle is running into the bed.

Maintenance varies from printer to printer, generally you’re aiming for tight but not too tight on any belts or rollers. If the pulleys on the motors aren’t preinstalled, use something like loctite blue to fix them in place better.

Also make sure if you plan to buy a printer that it’s got a decent amount of community around it. Running into the same problems with a bunch of other people is a big plus as a beginner, so popular printers are better.

Teaching Tech made a calibration guide website that I’ve had a lot of good experiences with.

I’m ignoring many factors for the sake of being able to answer. There are some kinds of heating, especially using burning fuels that are nearly 100% efficient, but we don’t know why it needs to get to that temperature, or how long it needs to stay that hot - so even if the transfer of heat is 100% efficient, this computation may underestimate the actual needs.

You have 3 liters of water heating up by 50 degrees celsius. It takes 4184 joules to heat 1 liter of liquid water by one degree Celsius, so it takes 627600 joules to heat 3 liters by 50 degrees. Dividing by 40000 joules per gram of fuel, it will take 15.69 grams of fuel per minute. Finally, for significant digits, we have to round to 16. grams of fuel per minute.

Edit: for most sciency uses, 1.6 times 10^1 grams of fuel per minute is likely the preferred way to write that.

They discontinued the unlimited storage plan, so he can’t still be paying for the unlimited storage. I’m not a big fan of Google’s “I’m not seeing a return yet, better kill this product” approach, but it has been their MO for a long time. I think by now everyone doing business with them knows who they are.

Ok, so I think the timeline is, he signed up for an unlimited storage plan. Over several years, he uploaded 233TB of video to Google’s storage. They discontinued the unlimited storage plan he was using, and that plan ended May 11th. They gave him a “60 day grace period” ending on July 10th, after which his accouny was converted to a read only mode.

He figured the data was safe, and continued using the storage he now isn’t really paying for from July 10th until December 12th. On December 12th, Google tells him they’re going to delete his account in a week, which isn’t enough time to retrieve his data… because he didn’t do anything during the period before his plan ended, didn’t do anything during the grace period, and hasn’t done anything since the grace period ended.

I get that they should have given him more than a week of warning before moving to delete, but I’m not exactly sure what he was expecting. Storing files is an ongoing expense, and he’s not paying that cost anymore.