Have a nice day.
9,543 karma · joined March 17, 2014
I understand how the internet works and how people respond to others in this type of setting, but the comment I replied to did not in any way make the point I was making about the disproportionate nature of relative contributions.
I'd say it's more like someone forking a Linux distro, adding a few themes and fonts, and then complaining when someone else forks their distro and adds another theme.
There's far less need for what the author refers to as frontier models as soon as you move away from vibe coding to filling in the gaps that you don't want to write yourself. The author doesn't even consider Gemini models to be frontier.
> models become smarter and less expensive
That's optimistic. They might become smarter but I don't see any market forces in the next few years that will make them cheaper.
Oh, so this is not a post about AI coding at home. It's about vibe coding at home.
There's a lot I disagree with in this post, but I'm posting this from a home computer with 64 GB of RAM and no GPU. I do lots of AI coding while spending very little money. I run Gemma 4 26b (mixture of experts) and Qwen 3 coder with Ollama. I use Github Copilot code completions. I use the Gemini and Mistral API free tiers. I have a Gemini paid API account. It's now prepaid, so you don't have to worry about an accidental $1000 bill. You can do a lot of things with Gemini Flash Lite 3.1.
None of this is burning through tokens to create an expensive blob of spaghetti code, but it does qualify as AI coding.
I feel the same way after seeing what they've done with AI chatbots in the sidebar. Five cloud providers. No local AI option. I don't see a reason to use Firefox today and it's been my main browser since it was called Phoenix. I use it only because it's what I've been using for a long time. There's no relationship between Mozilla of today and the group that placed the ad in the NY Times in 2004.
The AI chatbot thing was just the latest happening, but it shows how devoid of meaning that organization has become when you have a technology like AI and nobody even looks to Mozilla to provide leadership on an issue like that. Sure, send all your data to a large cloud outfit, that's the corporate world of Mozilla in 2026. It would actually be shocking to see Mozilla promote AI data privacy. Ironically, the local model I run the most is provided by Google, and it's not the least bit surprising that they're making it possible.
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.
A huge unforced error though is that the starting price for individual plans is $20/year versus $10/month for Dropbox and Box. At a certain point you have to recognize that the rules of the game have changed. Once a customer has their foot in the door with a cheaper plan that also offers better integration, why would they move to Dropbox or Box?
Another thing to keep in mind is the lumpy nature of costs, meaning you need to have access to cash to pay for multiple major maintenance projects in one year. My largest single-year expenditure for maintenance was 25k in a LCOL area pre-pandemic. That would probably translate to 50k today. If you have to dump that on a credit card, good luck digging yourself out of that hole.
It's common to hear that renting means you might need to move at the end of any 12-month period. Well, that cuts both ways. You have the option to move away at the end of any 12-month period too. Lots of folks had to turn down job offers in the aftermath of the housing crisis because of their homes.