
Yeah, I think what would be interesting to see is percentage of sales between ICE and EVs month over month.
I figure EVs keep eating up a greater and greater percentage over time, but it’d be interesting to see the breakdown.

Yeah, I think what would be interesting to see is percentage of sales between ICE and EVs month over month.
I figure EVs keep eating up a greater and greater percentage over time, but it’d be interesting to see the breakdown.

What form of social organization doesn’t when not corrected over time?


I’m not saying the graph is the best graph ever, I’m saying it’s far from the worst I’ve seen.
Its also clearly not a line of best fit, as it isn’t trying to “fit” the data. It’s a trend line that’s a vertically offset line from lowest to highest. It’s a stupid line, but being used to convey how much growth their has been.
The only real issue with this graph is the information/context being ommited. We know there is a lot more to the autism debate beyond just the rate of diagnosis.


Each bar shows two years; years they surveyed the kids and the year the kids were born.
So 2000|1992, is saying that kids born in 1992 were surveyed in 2000. If you look at tmit with thtmat perspective you can see it’s ordered by the year.


It’s probably a dataset that collected every 2 years, but only labeled every other bar to prevent the graph from being overcrowded.
Not a great decision, but not terrible.
Although, I’m a bit concerned for Lemmys graph comprehension skills.


Im confused, it’s got both axis labeled and seems pretty easy to read.
Maybe points off for having the labels on the outside rim of the graphic.
Doesn’t change the fact that classification of autism also changed over those years, but the graph itself is okay.

Ancedotally, I think it’s that the average developer is not as curious anymore, but that’s because the industry has grown a lot (both in number of people and areas of focus).
At the end of the day, that’s not a bad thing, just something we’d expect to happen.


While you’re right, it is also the national guard so it’s a supplemental/part-time job and not the primary job for a lot of them.


Yeah, I made a separate comment, but AudioBookshelf can play nicely with ebooks and comics. It’s not super smooth, but provides the most features in a self hosted solution from what I’ve tried.


I just use AudioBookshelf for books. It’s a little annoying, but basically just requires an extra nested folder structure.
The best part is offline reading seems to resync back to the server, so you can download books for local reading or read through an internet connection.


Am I missing something? SQLite is great, but it isn’t really comparable to most other SQL databases, unless you’re talking about nosql alternatives?

There is definitely more going on with LLMs than just direct parroting.
However, there is also an upper limit to what an LLM can logic/calculate. Since LLMs basically boil down to a series of linear operations, there is an upper bound on all of them as to how accurately they can calculate anything.
Most chat systems use python behind the scene for any actual math, but if you run a raw LLM you can see the errors grow faster as you look at higher orders of growth (addition, multiplication, powers, etc.).
Looks like there is a config and cache location in their docker scripts. The easiest way to make a docker application portable is to bind mount the config and cache. That way you have access to the actual files and could copy them to your windows partition.
If you’re already using a volume for that data, I think it becomes a bit trickier. I know technically you can move or copy volumes, but I’ve never tried. Although you could still bind mount a random directory and still copy the files out.


I was so confused by the image initially as I hadn’t seen a window well that deep before. This follow-up picture made it all click, thanks for sharing.
Yep, bind mount the data and config directories and back those up. You can test a backup by spinning up a new container with the data/config directories.
This is both easy and generally the recommended thing I’ve seen for many services.
The only thing that could cause issues is breaking changes caused by the docker images themselves, but that’s an issue regardless of backup strategy.


I always thought the simplest way to do it is to pass laws that require every website to provide a rating/content description and then leave it up to the end user to set acceptable levels. We don’t get mad for kids watching the wrong content on TV.
Websites could be fined for either not providing or providing incorrect classifications.
If people don’t want their kids to see that stuff, make sure the parents have the tools to enforce.
I had someone swear to me that Github templating was better, but I’ve only worked with Gitlabs templates. Why do you like Gitlab over Github?