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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)R
Posts
20
Comments
162
Joined
3 yr. ago

  • I don't know you guys, I think all coverage of responses should be measured in total and four-letter word counts.

    Click here: MLK's 1651-word response to proposed civil rights legislation, includes 322 four-letter words.

  • If you count don't, it's four.

  • Good and relatively mass produced? Good start searching for terms like "solid wood dresser". You still have to do some vetting but it cuts down on the absolute junk.

    Good and cheap? Check your local Goodwill and Habitat for Humanity ReStore regularly - their stock is highly variable, but they will have some of the best items for the best price out there.

    Money is no object? Make friends with the folks at your local hardwood store and pry them for recommendations for local woodworkers, and attend local craft fairs.

  • Ehh, I mean if you were gonna buy it from CVS/Walgreen's, they aren't exactly an altruistic alternative...

    I agree, best to avoid the wealthy oligarchs, but sometimes you need medicated allergy eye drops and Bob's Corner Store doesn't have them.

  • But the XKCD mentions kWh/day specifically, in theory the times can cancel out, leaving you with kW

    But instantaneous and average kW are very different, and it would take more time to describe that distinction than to use kWh/day.

  • The one employee in the entire store is busy at checkout. I'm just gonna order it on Amazon.

  • I've put like 1000 hours each into Stardew Valley and Rimworld. Not a single ray traced, no advanced boob physics, just good fun.

  • Wait, is it sitting or standing?

  • Where does your scale go? All I have is drawers!

  • Didn't you see? This is XR, totally different.

  • Keep Talking And Nobody Explodes on the daydream was a next level of fun with friends. Sad it was abandoned so rudely.

  • You can rent (until your service decides to stop selling that content) and download a DRM-locked copy only playable in one app that's 1/5 the bitrate. Is that not good enough for you?

    What if we include a full screen ad whenever you pause. You're not watching anyways, what's the harm?

    Oh, also, did you hear about our other content and services? We would like to remind you of all of those every time you start to watch something - we don't consider them advertisements, just important feature updates, so you can't remove them.

    Aand... you HAVE to be connected to the internet to watch, because we made this really cool AI thing that watches literally everything you do, sends it to our servers, and sometimes happens to recognize which characters are on screen so you can access their IMDB pages through your TV while watching the movie for some reason, like that's a normal thing people want to interrupt their movie experience to do.

  • No sharing in Notesnook

  • But then how do I make money?

  • It would be amazing if it could have a significant impact on spatial and temporal accuracy of things like rain. I feel like for me the existing weather report is good enough for "it will probably rain tomorrow" but it's really hit-or-miss when you get to hourly resolution. A good model may be able to go so far as to say "it will probably rain between 3-4pm on the east side of town tomorrow, and 2-3pm on the west side"

    That's the dream at least. With enough data and a sophisticated enough model it feels like it could be possible.

  • There's a difference between the real-ish-time weather data continuously fed in to output predictions, and the decades of weather data used to build the model. The continuous feed of data is more than likely part of what Google alleges is saving significant energy.

    Its the training on decades of information, and occasional updates to those trained models that take a significant amount of resources, but hopefully for relatively short bursts.

  • I feel this personally, I live in the hills outside of a valley metro. All weather data is forecasted off of valley sensors, but shit gets weird when you suddenly climb 2000+ ft.

    The best weather services in my area are those that can factor in peoples household meters into their forecasting, but those services still aren't perfect.

  • It's not just about cutting costs, but also improving accuracy. Physical simulations factor in a dozen or so weather conditions to predict outcomes. Machine learning can track thousands of conditions, drawing connections not realized in physical models, leading to much more accurate statistical models.

  • Why wouldn't you eat a cat? It's less social than a cow or a pig.

    Personally, I'm too lazy to hunt, so I just get my meat from Elwood's (https://www.elwooddogmeat.com/). Hoping they add cat to their lineup one day.