It’s desktop-only right now and feels like for the foreseeable future. Firefox sync works between Zen and Firefox so you can just run Firefox or one of the Android-specific versions of Firefox that support the generic/vanilla firefox sync.
Fancy firefox-based browser along the lines of Arc?
Worth a look if you’re a web power-user / developer sort of person
Yeah. Zen is a bit newer and I’d say not quite as slick an experience yet, but it has come a long way in the last couple months and is getting very good
Firefox-based https://zen-browser.app/ if you want to get fancy
Or the world blows up and it’s all over. I guess what I’m saying is, no downside, fire it up and let’s see what happens.
Cruel and unusual.
The Day After Tomorrow - It’s campy but underrated
Also, reporting that Trump Tower (either) should be renamed Mexico Tower feels pretty good.
John Butler, Ocean - 65m views isn’t all that hidden but I’m sure there are a lot of people who haven’t heard it
Yeah yeah yeah… yeah
no fact checking and a ton of bots being added? Sounds like a fantastic place to spend time. /s
Ollama and openwebui for a nice web interface.
First a caveat/warning - you’ll need a beefy GPU to run larger models, there are some smaller models that perform pretty well.
Adding a medium amount of extra information for you or anyone else that might want to get into running models locally
If you look at https://ollama.com/library?sort=featured you can see models
Model size is measured by parameter count. Generally higher parameter models are better (more “smart”, more accurate) but it’s very challenging/slow to run anything over 25b parameters on consumer GPUs. I tend to find 8-13b parameter models are a sort of sweet spot, the 1-4b parameter models are meant more for really low power devices, they’ll give you OK results for simple requests and summarizing, but they’re not going to wow you.
If you look at the ‘tags’ for the models listed below, you’ll see things like 8b-instruct-q8_0 or 8b-instruct-q4_0. The q part refers to quantization, or shrinking/compressing a model and the number after that is roughly how aggressively it was compressed. Note the size of each tag and how the size reduces as the quantization gets more aggressive (smaller numbers). You can roughly think of this size number as “how much video ram do I need to run this model”. For me, I try to aim for q8 models, fp16 if they can run in my GPU. I wouldn’t try to use anything below q4 quantization, there seems to be a lot of quality loss below q4. Models can run partially or even fully on a CPU but that’s much slower. Ollama doesn’t yet support these new NPUs found in new laptops/processors, but work is happening there.
It’s a good thing that real open source models are getting good enough to compete with or exceed OpenAI.
It has been on my list to figure out how to move to forgejo, need to do it soon before the migration process breaks or gets awful.
Coming from c# then typescript and nextjs, rye feels very intuitive and like a nice bridge / gateway drug into python.
Yale z-wave work well and last a long time between needing to replace batteries, and can run off of rechargeables. Can add to home assistant and work with Siri and Alexa integrations on home assistant.
Had some Schlage locks that ran through batteries way too fast.
Having been a firefox user for a few years now, Screw Mozilla. What a mismanaged shit-show they’ve become.
I get that browser development costs a ton, and that they’re in a shitty position. But to make this ode to stockholm syndrome blog post… what on EARTH?
Best case, Chrome gets split off into a separate organization free of meddling and they can fund themselves with reasonable donations / investments. In reality, I’m sure Google and other advertising companies will try to get into it and buy the behavior they want, like special-interest groups in US politics.
But if Chrome ended up under any organization with reasonable management who wasn’t completely beholden to advertisers, I’d switch back to Chrome pretty quickly (assuming the whole Manifest V2/V3 thing got un-fucked).