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?

Sounds like a plan. Let’s do it 👍

Anthropic didn’t lose their lawsuit. They settled. Also, that was about their admission that they pirated zillions of books.

From a legal perspective, none of that has anything to do with AI.

Company pirates books -> gets sued for pirating books. Companies settles with the plaintiffs.

It had no legal impact on training AI with copyrighted works or what happens if the output is somehow considered to be violating someone’s copyright.

What Anthropic did with this settlement is attack their Western competitor: OpenAI, specifically. Because Google already settled with the author’s guild for their book scanning project over a decade ago.

Now OpenAI is likely going to have to pay the author’s guild too. Even though they haven’t come out and openly admitted that they pirated books.

Meta is also being sued for the same reason but they appear to be ready to fight in court about it. That case is only just getting started though so we’ll see.

The real, long-term impact of this settlement is that it just became a lot more expensive to train an AI in the US (well, the West). Competition in China will never have to pay these fees and will continue to offer their products to the West at a fraction of the cost.

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.

Incorrect. No court has ruled in favor of any plaintiff bringing a copyright infringement claim against an AI LLM. Here’s a breakdown of the current court cases and their rulings:

https://www.skadden.com/insights/publications/2025/07/fair-use-and-ai-training

In both cases, the courts have ruled that training an LLM with copyrighted works is highly transformative and thus, fair use.

The plaintiffs in one case couldn’t even come up with a single iota of evidence of copyright infringement (from the output of the LLM). This—IMHO—is the single most important takeaway from the case: Because the only thing that really mattered was the point where the LLMs generate output. That is, the point of distribution.

Until an LLM is actually outputting something, copyright doesn’t even come into play. Therefore, the act of training an LLM is just like I said: A “Not Applicable” situation.

Training an AI is orthogonal to copyright since the process of training doesn’t involve distribution.

You can train an AI with whatever TF you want without anyone’s consent. That’s perfectly legal fair use. It’s no different than if you copy a song from your PC to your phone.

Copyright really only comes into play when someone uses an AI to distribute a derivative of someone’s copyrighted work. Even then, it’s really the end user that is even capable of doing such a thing by uploading the output of the AI somewhere.

Ugh, if only that worked for longer than like a month.

Eventually all these materials you can throw under throw rugs to make them stickier end up failing. Catastrophically.

Make sure to get a throw rug that has the non-slip feature sewn in. Make sure it’s nice and heavy too and never put it in the dryer (it’ll ruin the non-slip part). You should probably air dry throw rugs anyway, actually 🤷

The rug threw you. That’s why they’re called that!