Now, someone could argue that the Spotify app isn't important, but there's a reason it has 268 votes. A better solution would be having packages like spotify in their own repo, and a separate, you-better-verify repo for the rest.

[1] https://aur.archlinux.org/cgit/aur.git/tree/PKGBUILD?h=spoti...

Anyone relying on a steady paycheck from an employer should panic a bit all the time, because nothing can save them from bad management. The reference to Jevons Paradox doesn't say anything about individual managers responding correctly. If 30% of managers screw up, that's a lot of collateral damage.

Now to respond to your actual point, I don't think software developers should panic. Even if pure software engineering gets hit hard, I'm having trouble imagining a scenario where years of software development skills plus knowledge in a specific domain isn't a good thing for current software developers. This is unlike what happened with international trade, where you had 60-year old textile workers losing their jobs, no alternative jobs, and no policy being offered to compensate them for the effects of trade.

It makes perfect sense if the decision to work is based on real, after-tax income. Change the comment to say "the tax rate keeps climbing so I quit working" and it would not occur to anyone to challenge it.

Once you have enough saved to generate income covering the very basics (probably somewhere around $30k/year in a LCOL area in the US) it becomes a question of whether selling a 40-hour block of your time on a weekly basis is worth it. For this individual, it is not.

> Operating as a 26B total Mixture of Experts (MoE) model that activates only 3.8B parameters during inference, DiffusionGemma fits comfortably within 18GB VRAM limits of high-end dedicated consumer GPUs when quantized.

Okay, so Gemma 4 26B is a MoE model that's really fast on my 24 GB GPU using ollama. This sounds like speculative decoding but I don't think that works with MoE models? It's hard to keep up with all this when it's not your job to keep up with it.

As someone that reads a lot of code written by others, I'm confident that "learning a new way to do something" is perceived by many as the hardest thing in the world.

Never experienced any kind of panic, only excitement. I told Github Copilot to add documentation to a function and it documented how the code was used even though there was nothing in the function to indicate how it was used. It somehow knew from the code pattern why I was writing that function.

I haven't had too much problem with information in summaries being wrong, but there have been times the LLM will miss the most important details. Then when you tell it, the response is "Nice catch!" or something like that.

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I think they've been doing that, but it's tough to do it successfully. Often the best thing is to return money to the shareholders so they can look for higher returns elsewhere. I think the fact that they're still in business is kind of a miracle considering the competition.