They’re pushing the schedule ahead as fast as possible because Trump is literally dying. He probably had a stroke and has obviously been getting infusions. It won’t be long before they announce, “he had a bad fall.”

Uh, bikes without electric motors can go faster than 25MPH.

Yes. That’s how we got Trump and today’s Republican party.

How much of this can be attributed to conservative families finally getting the chance to enroll their kids into private religious schools via voucher programs?

Actually, how much can be attributed to voucher programs in general?

So what they’re saying is that this person was clearly qualified to work for this administration.

Also remember who lives in Florida: Old, retired people.

I’d wager that the old people are going to have a much greater body count.

You’ve obviously never tried to get any given .NET project working in Linux. There’s .NET and then there’s .NET Core which is a mere subset of .NET.

Only .NET Core runs on Linux and nobody uses it. The list of .NET stuff that will actually run on .NET Core (alone) is a barren wasteland.

If it’s written in C# that’s a huge turn-off though because that means it’s likely to only run on Windows.

I mean, in theory, it could run on Linux but that’s a very rare situation. Almost everything ever written in C# uses Windows-specific APIs and basically no one installs the C# runtime on Linux anymore. It’s both enormous and a pain in the ass to get working properly for any given C# project.

As an information security professional and someone who works on tiny, embedded systems, knowing that a project is written in Rust is a huge enticement. I wish more projects written in Rust advertised this fact!

Benefits of Rust projects—from my perspective:

• Don’t have to worry about the biggest, most common security flaws. Rust projects can still have security flaws (anything can) but it’s much less likely for certain categories of flaws.
• Super easy to build stuff from scratch. Rust’s crates ecosystem is fantastic! Especially in the world of embedded where it’s a godsend compared to dealing with C/C++ libraries.
• It’s probably super low overhead and really fast (because Rust stuff just tends to be like that due to the nature of the language and that special way the borrow checker bitches at you when you make poor programming choices haha).
• It’s probably cross-platform or trivially made cross-platform.

Also, stuff that gets mis-labeled as AI can be just as dangerous. Especially when you consider that the AI detection might use such labels to train itself. So someone who’s face is weirdly symmetrical might get marked as AI and then have hard time applying for jobs, purchasing things, getting credit, etc.

I want to know what counts as AI. If someone uses AI to remove the background in an image or just to remove someone standing in the background is technically generative AI but that’s something you can do in any photo editor anyway with a bit of work.

Meh. Nothing in this article is strong evidence of anything. They’re only looking at a tiny sample of data and wildly speculating about which entry-level jobs are being supplanted by AI.

As a software engineer who uses AI, I fail to see how AI can replace any given entry-level software engineering position. There’s no way! Any company that does that is just asking for trouble.

What’s more likely, is that AI is making senior software engineers more productive so they don’t need to hire more developers to assist them with more trivial/time consuming tasks.

This is a very temporary thing, though. As anyone in software can tell you: Software only gets more complex over time. Eventually these companies will have to start hiring new people again. This process usually takes about six months to a year.

If AI is causing a drop in entry-level hiring, my speculation (which isn’t as wild as in the article since I’m actually there on the ground using this stuff) is that it’s just a temporary blip while companies work out how to take advantage the slightly-enhanced productivity.

It’s inevitable: They’ll start new projects to build new stuff because now—suddenly—they have the budget. Then they’ll hire people to make up the difference.

This is how companies have worked since the invention of bullshit jobs. The need for bullshit grows with productivity.

You can hang out in the back yard and hand-feed our 100+ pound giant sulcata tortoise. She’ll come “running” if she sees you have treats (e.g. lettuce).

You can keep the puppy busy outside so she doesn’t have to worry about “forgetting” and doing that inside (puppies are trouble).

You can fish off the dock or swim in the pool. At night, I can setup the projection screen and we can watch some old movie out back and roast marshmallows at the fire pit.

Or you can just hang out with me in my garage/office and lose endless amounts of time watching the 3D printer print something (as is tradition with 3D printing!).

Also have a rather large robot to play with and an awesome HTPC setup and wifi 7 with 2 gig Internet. Actually, forget all that other stuff; 2 gig Internet is living the dream! 🤣

There’s hot shingles in your area! They’re just waiting for you to attach.

Do it on the roof! Doctors hate it!

I’m guessing this graph matches closely with anime viewing… The true amplifier of Japan’s population decline!

To solve this crisis, we must make catgirls real and unleash an army of bland protagonists young men with almost no personality that possess some overpowered skill. Such as the ability to stay thin despite the ready availability of sugary/processed foods.

AI adds too many details. When a person draws an anime/cartoon character they will usually put in minimal details or they’ll simply paste the character on to an existing background (that could’ve been drawn by a different artist).

AI doesn’t have human limitations so it’ll often add a ton of unnecessary details to a given scene. This is why the most convincing AI-generated anime pictures are of one or two characters in a very simple setting (e.g. a plain street/sidewalk) or even a white or gradient background.

Humans can tell when art was put together by different artists. Such as when the background is a completely different style. AI doesn’t differentiate like that and will make the entire image using the exact style given by the prompt. So it’ll all look like it was “drawn” using the same exact style… Even though anime/cartoons IRL aren’t that uniform.

For images, it’s not even data collection because all the images that are used for these AI image generation tools are out on the internet for free for anyone to download right now. That’s how they’re obtained: A huge database of (highly categorized) image URLs (e.g. ImageNET) is crawled/downloaded.

That’s not even remotely the same thing as “data collection”. That’s when a company vacuums everything they can from your private shit. Not that photo of an interesting building you uploaded to flickr over a decade ago.

This is sad, actually, because this very technology is absolutely fantastic at identifying things in images. That’s how image generation works behind the scenes!

ChatGPT screwed this up so badly because it’s programmed to generate images instead of using reference images and then identifying the relevant parts. Which is something a tiny little microcontroller board can do.

If they just paid to license a data set of medical images… Oh wait! They already did that!

Sigh

A feeder most fowl!

LLMs are great at checking grammar in writing. That’s the other thing I’ve found they’re useful for 🤷

Basically, using LLMs to write something is always a bad idea (unless you’re responding to bullshit with more bullshit e.g. work emails 🤣). Using them to check writing is pretty useful though.

Zawinski’s law: Every program attempts to expand until it can read mail. Those programs which cannot expand are replaced by ones which can.

This is just the modern equivalent: Intra-site messaging.