pyrophane

Terribly confusing name and title.

What provider are you using currently?

Yeah. I think if the text is written for other machines, then by all means have an LLM generate it, but if it is intended for a human audience, have a human being write it.

We are still much better at writing in a way that doesn't waste other people's time.

I have a JetKVM and could never get video to work on it despite spending a lot of time on troubleshooting. It may have just been a defective unit but I never got around to trying to RMA it.

Purely an aside but I went to the StandardNotes website and the first thing that struck me was how all over the place their AI generated product images were.

> Lock-in is the game. Users will pay. Many companies under-price their product and suffer the consequences.

Well, just yesterday the WSJ published an article [1] about bending spoons that include this detail:

> Evernote, a note-taking app acquired in 2023, was among the holdings Bending Spoons profiled in its IPO prospectus. Evernote’s revenue was 30% higher in 2025 than in 2022, and during that time average revenue per monthly active user rose 150%. What the prospectus didn’t say: Those figures meant the number of users fell 48%. Revenue rose through price increases as the customer base shrank.

So, a lot of users were not willing to pay.

1. https://www.wsj.com/finance/investing/at-bending-spoons-the-...

A bit over a year ago I got an iPad Pro with the nano-texture display and when hearing that apple was developing a folding phone I thought, man, if they put this screen on the inner display that would be amazing.

I assumed they wouldn't do it because they were marketing the nano-texture as a specialty thing for professionals and glossy screens were the popular ones, but now here we are.

GrapheneOS actually recommends against using Aurora and instead just using the Play Store, so this shouldn't really hurt users.

For extra privacy, you can sign into the Play Store with a Google Account that isn't tied to anything else.

> We're nowhere near a Fable-class model IMO, but things are going to get interesting in this next year.

I'm wondering of you could clarify your thoughts on this. I've had a hard time evaluating what Fable-class actually is capable of that sets them (or really it) apart from other models in a very significant way.

Most windows laptops will do something like this by default to enhance the sound. Part of what ships as "Dolby Atmos" is some EQ-ing and normalization, with the default not being flat. It is just necessary to make those tiny laptop speakers sound half decent and not crap out all the time.

> Clean Air Act (CAA) Acid Rain Program (ARP) does not apply to power generation facilities that are not connected to a public electricity grid, commonly referred to as “islanded” power generation facilities.

This of course makes no sense whatever, as whether or not a power generator is connected to the grid has nothing to do with its environmental impact.

I assume the name of this startup is meant to be pronounced like "revel" rather than "revile."

This thing does a much better job at cleaning their nano-texture displays compared to a regular, smooth microfiber lens cleaning cloth, so there is actually a reason for it to exist.

That being said, while I haven't tested this, you can get other "suede" style microfiber cloths that I suspect are functionally the same thing as the Apple Polishing Cloth.

I'm curious what peolle are finding with first party vs 3red party harnesses for coding.

Do the first party harnesses really have an advantage when paired with the maker's model?

What would it mean to crack down on distillation? I could think of a few possibilities:

1. Using political pressure to target companies that are accused of doing it.

2. Attempting to impose criminal penalties on individuals associated with the action.

3. Having the US government attempt to use its capabilities to stop it.

None of these seem particularly likely to succeed.

Edging a little closer to the Krazam video "rare data hunters."

I've thought about how hard it must be to be a lefty fountain pen user. What is one to do? Learn to write without resting your hand on the page?

> "don't use a gadget"

I agree with this but for a different reason than what the author gives.

When you write in a notebook you can see where what you are writing is within the notebook (e.g. ~1/3 of the way through, etc). That seems like a small thing but I think it really helps with anchoring the memory when writing, as well as with referencing it later. And of course you can also add all sorts of tabs and page markers to help even more.

The same is true when reading a book.

And airline stocks are typically a bad investment and Delta has been called a bank that operates an airline due the the amount of their revenue that comes from credit card fees.

I built a multi-agent framework and coding harness that I'm using as my primary coding tool now, mostly with DeepSeek and GLM. I've been having a lot of fun working on it and improving it in my spare time. I'm thinking about open-sourcing it but right now the deployment and sandboxing model is fairly dependent on nix.

A handful of super-rich families got together in the 90s, hired some people to put together a campaign to re-label the estate tax as the death tax and convince everyone it was causing families to lose their small farms, and we haven’t talked seriously about it since.

I just have a desktop at home that I run inference off of. It is a great setup and I don't find myself wanting to inference models directly on my laptop.

Yeah, I've realized that the things I don't like in tech have everything to do with the culture and politics. When I've been able to work with a small team of people I really like and respect, I've generally been quite content.

Huh, as a Lanaboote user I’m surprised to see this on the front page. I use this in combination with sbctl for key generation. I’m mostly using it because I wanted to set up full disk encryption with TPM2 auth.

This won't help you right now, but GrapheneOS did recently announce a partnership with Motorola, so presumably in a year or so support will start showing up for some Motorola devices.

Side note: I did get the 10a on launch from Google Fi for ~300.

Here's the most relevant section I could find from the original source:

"Chrome extensions can expose internal files to web pages through the web_accessible_resources field in their manifest.json. When an extension is installed and has exposed a resource, a fetch() request to chrome-extension://{id}/{file} will succeed. When the extension is not installed, Chrome blocks the request and the promise rejects.

LinkedIn tests every extension in the list this way."

Here's the relevant bit from the original source:

"Chrome extensions can expose internal files to web pages through the web_accessible_resources field in their manifest.json. When an extension is installed and has exposed a resource, a fetch() request to chrome-extension://{id}/{file} will succeed. When the extension is not installed, Chrome blocks the request and the promise rejects.

LinkedIn tests every extension in the list this way."

What's Vanity?

Yeah, Gnome consolidates feature changes into major releases every six months, so it aligns well with fixed release distros like Ubuntu and Fedora that have release cycles that are aligned with Gnome's.

KDE drops a new point release with new features ~ every four months, and has a more flexible release schedule, so it is just to just get the changes when they are released.

I'm currently running KDE on NixOS unstable which is great, but if I weren't doing that I'd still be on OpenSUSE Tumbleweed.

Yeah, this is something I am thinking a lot about. Companies won't be able to sustain this level of spending forever, and one of two things will need to happen:

1. Models become commodities and immensely cheaper to operate for inference as a result of some future innovation. This would presumably be very bad for the handful of companies who have invested that $1T and want to recoup that, but great for those of us who love cheap inference.

2. #1 doesn't happen and the model providers start begin to feel empowered to pass the true cost of training + inference down to the model consumer. We start paying thousands of dollars per month for model usage and the price gate blocks out most people from reaping the benefits of bleeding-edge AI, instead being locked into cheaper models that are just there to extract cash by selling them things.

Personally I'm leaning toward #1. Future models near as good as the absolute best will get far cheaper to train, and new techniques and specialized inference chips will make them much cheaper to use. It isn't hard for me to imagine another Deepseek moment in the not-so-distant future. Perhaps Anthropic is thinking the same thing given the rumors that they are rumored to be pushing toward an IPO as early as this year.