bachmeier

Have a nice day.

It isn't. The entirety of the comment I responded to is "Oh no, someone is profiting off of their work without proper attribution!?!?" It's a valid point, but references someone using content created by others for profit. I'm objecting to equating this project with the work done by the original content creators. They're not remotely the same thing.

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.

"Their work"? First you had the original content creators that did 99.99% of the work. Then you had the US companies bundle it up into a frontier LLM. Then "they" did the "work" of using the US model as a foundation for their own. So in the sense of doing 0.00001% of the actual work that went into their product, sure.

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.

I think the distinction between vibe coding and hitl based coding routines will blur as workflows prove themselves

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.

The upfront cost is steep and the models you can actually run at home are weaker than what the frontier labs ship, so this only pays off if you can keep the rig busy with long running tasks where a slower, cheaper model grinds away overnight. Most people can’t keep a home machine that loaded, and the hardware you buy today may look like a bad bet in a year.

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.

The entire reason Mozilla came into being is to do things like improve the user experience for IRC so we can keep the internet open. There has never been any other reason for Mozilla as an organization to exist.

I felt sort of betrayed in that moment: the company that was all about openness and to which I dedicated countless hours doing unpaid work for and even more years evangelizing for was imposing its volunteers and employees used a proprietary app to coordinate. That didn't sit well with me. At all. I basically lost interest.

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.

Kagi: The search engine priced for Silicon Valley software engineers. Apparently it has enough customers to keep the doors open though.

From the phrasing of the sentence, with the incorrect gender and the generic nature of the comment, obviously not.

I think the issue with AUR is that you get your foot in the door with packages like spotify[1]. It does its magic to allow you to install a .deb package on your distro. I don't know how else to install the Spotify desktop app without AUR. But once you're willing to do that, why not go a little further and trust other packages?

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...

Honestly, it's hard to see how Arch is a usable distro for most potential users without AUR. If you want a large selection of official packages, the Debian world is going to be the better choice.

So what's a solution to this? Install packages like this in Docker containers without network access? I don't think we should assume it's limited to AUR. Every software source should be considered suspect in 2026, particularly with the adoption of vibe coding, and closed software is a bigger mess than open source because it's a black box.

So maybe it is, indeed, time to panic a bit?

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.

I don't see LOC as that different from number of hours in the office. They'd always say pre-pandemic "If they're not in the office, how will I know they're working?" Simple, use the output metrics that you use to evaluate all of your workers to see what they contribute to the business.

Thanks. I found this other comment that links to a very thorough explanation: https://news.ycombinator.com/item?id=48479042

This actually makes 0 sense. Like, do you even understand what you're saying?

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.

DiffusionGemma reverses this inefficiency. Instead of predicting words sequentially, it drafts an entire 256-token paragraph simultaneously. By giving the computer's processor a larger chunk of work at once, DiffusionGemma utilizes your hardware to its full potential. It upgrades your model inference from a single, sequential typewriter to a massive printing press that stamps the entire block of text simultaneously.

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.

Why is it more work?

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.

I'd be curious if any of your customers have tried 3.1 Flash Lite. It's cheaper than 2.5 Flash, and in my experience with the free tier, quite an upgrade in terms of quality of response. My suspicion is that Google is killing off the old models because they aren't a good value for the customer or for themselves.

Whether or not it counts as social media, there is no algorithm targeting individuals as far as I know. Social media in the sense of HN is just the internet.

that you went from those quaint, dismissive observations to a slightly panicked, "Uh Oh" realization of what these models can do?

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.

70% complete, 10% indirect and 20% wrong

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.

A strong business case for Gemma includes fine tuning, adding AI to apps that run in the cloud, strengthening Android, shifting unprofitable small AI compute to devices, and harming competitors. The first two would be done using Google's cloud services due to integration with Gemma. I think Google is currently the best positioned company to profit from AI sales to businesses over the next few years, and Gemma is a critical part of the story.

Your comment is a slice of the reasoning underlying the "AI will take all the jobs" claim. I would constantly see references to what AI could do and how fast it was improving. Never a word about cost. We should anticipate that there will always be demand for human labor, for cheap models, for local models, and probably even frontier models.

But that's not the standard definition of "opt-in". See for instance MW: "to choose to do or be involved in something".

No idea what last.fm is. Clicked the logo at the top of the forum, but that's one of those prank links that takes you to the page you're already on. Typed in last.fm manually and got

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acquire a smaller complimentary but profitable company, or start building products that compliment their current offering

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.

It is a tough market that has cut off the consumer end because all the big players have their own deeply integrated solutions: Apple (iCloud), Google (Drive), Microsoft (OneDrive).

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?

Famous article by JL Collins: https://jlcollinsnh.com/2013/05/29/why-your-house-is-a-terri...

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.

The upcoming Claude Brandon release will make Dropbox obsolete.