It depends on what type of licensing. One way it could be beneficial to them (and this is me purely speculating with no checking) is that any work done from outside of their company on their code base is basically free labor. Yeah, they’ll lose some potential revenue from people running their own instances of the code, but most people will use their app.
Feeder can do keyword filtering on titles, but not on a per feed basis, and only with simple wildcards. I’ve been able to filter out a bit with it, though.
Oh wow, they really did a good job of explaining it. It’s not too complex. I think it probably would be able to filter out some of the fluff.
If it’s open source, you could perhaps tinker with the algorithm. My main desires for rss feeds are:
Any clue if nunti could do that?
Those 2 are for sure on my good list. Also Bon Appétit and serious eats, too
CAD is a bit like programming, there’s a lot of ways to do any given task. That can make it tricky if you are doing some tutorials that use one workflow, and then start doing tutorials that use a different workflow.
If you want to learn it, do yourself a favor and take time to find a tutorial that goes from start to finish doing the type of project you want to do so you don’t get frustrated when you get midway through.
Like others said, if you are used to doing something in a different CAD software, you might find that the same workflow is clunky in FreeCAD, but if you start out with a workflow that works well in FreeCAD, you are fine.
Volumetric leafy greens are the worst, lol. I guess salad greens don’t matter too much cause it doesn’t really change anything, but something like basil, you probably want relatively accurate. Same thing with shredded cheese, it can be a huge difference to the recipe if you grate the cheese through the large holes on a box grater vs something like a microplane.
I think, especially in American recipes, cups are basically the missing link between “grandma recipes” and modern “accurate” recipes. Everyone has gotten recipes handed down that call for “some onion” or “1 handful of nuts”. It’s fine for lots of recipes: no one is going to actually measure out 200 grams of onion for a stirfry, they’ll just grab an onion and chop up the whole thing.
I’d consider that within the margin of error for a volumetric measurement. Especially if you are being lazy like me and measuring something like milk by weight.
Funny enough, you made me go check my kitchen scales. They report in grams, ounces, and weirdly milliliters and fluid ounces. I used my scale that reports in hundredths of a gram to measure out exactly 1 oz mass. I then placed it on my other three scales to see what it would read. 2 of them correctly reported that they weren’t quite at 1 fluid ounce, while the other said it was. I never actually put my scales in ounce mode, though.
If you live in a place that uses cups, the container the food comes in typically has both measurements as part of the nutrition facts on the back label. US nutrition facts are per-serving not per-100g like the EU, so for flour for example, it will have “serving size 1/4 cup (30 g)”. The main exceptions are items meant to be eaten in their entirety like a candy bar or, unfortunately, liquids, which give you milliliters.
Stop getting recipes from whatever random source pops up in Google, and start getting recipes directly from sources you trust. Reputable test kitchens usually use mass for recipes, and at least the ones I look at will also include volumetric measurements for people who prefer them.
The thing with baking, though, is that there are many ingredients that require below gram level accuracy, and for those, volumetric measurements are more accurate for most people who have scales with a gram resolution.
Seriously, i don’t know why all these people keep saying they do volume for liquids. Unless you are using a skinny graduated cylinder, liquid measuring cups could easily get you 10% off your target.
And stuff like honey? No way I’m measuring volume for that.
A fluid ounce of water is an ounce of weight
Seems like a lot of great changes
They want to merge with Albertsons, who owns the other half of grocery stores: Acme, Safeway, jewel osco, and a bunch more.
Recyclability, too
I don’t understand why people like Facebook marketplace. It’s so transparently a way for them to just gather more shopping habits data on you, and it’s too easy for scammers to use. They act like having an account somehow makes it harder to scam.
I would much rather support the website run by a skeleton crew that has no unnecessary features than get a few bucks more on FB marketplace. If I’m selling something that I’ve used, it’s cause I want to get rid of it, anyway.
Oculus was founded by a shitty person who sold to Facebook and then went on to help make a company to bring Big Tech into surveillance and autonomous weapon systems. Basically, he’s trying to bring on an orwellian nightmare.
Oculus would have gone bad weather or not Facebook bought them.
There are a lot of problems with it. Lots of people could probably tell you about security concerns and wasted energy. Also there’s the whole comically silly concept of them marketing having AI write your texts and emails for you, and then having it summarize the texts and emails you get. Just needlessly complicating things.
Conceptually, though, most people aren’t too against it. In my opinion, all the stuff they are labeling “generative AI” isn’t really “AI” or “generative”. There are lots of ways that people define AI, and without being too pedantic about definitions, the main reason I think they call it that, other than marketing, is that they are really trying to sway public opinion by controlling language. Scraping all sorts of copywritten material, and re-jumbling it to spit out something similar, is arguably something we should prohibit as copyright infringement. It’s enough of a gray area to get away with short term. By convincing people with the very language they use to describe it that they aren’t just putting other people’s material in a mixer, they are “generating new content”, they hope to have us roll over and sign off on what they’ve been doing.
Saying that humans create stories by jumbling together previous stories is a BS cop out, too. Obviously, we do, but humans have not, and do not have to give computers that same right. Also, LLMs are very complex, but they are also way way less complex than human minds. The way they put together text is closer to running a story through Google translate 10 times than it is to a human using a story for inspiration.
There are real, definite benefits of using LLMs, but selling it as AI and trying to force it into everything is a gimmick.
There was an app called Buycott that lets you join “campaigns” of things you are either for or against, and when you scan something, it tells you which positive and which negative campaigns apply to that product and the company as a whole. Koch was on there. Seems like it may have been abandoned years ago, though.
The article isn’t clear enough about this. This pump is nowhere close to the fires, and the water coming out of the pump doesn’t get anywhere close to the fires, either.
The purpose of the pumps is to take water from rivers and send it to wealthy farmers. The farmers didn’t even need the water, anyway, this time of year.