Their last announcement is from November 2024: https://jolla.com/press

I guess they'll start PR once the phone is funded.

That threw me off, too. They probably chose it to keep the costs low. I wonder about the overall impact, though.

Surprisingly even Samsung uses Mediatek in quite a few devices they sell.

It seems like this is indeed possible using video codecs: https://arxiv.org/abs/2407.00467v1

Good fun. Now I wish RT cores would be programmable with some form of PTX, but for now it's Optix or die. Managed to do fun stuff with it but it's like pulling teeth.

It's really beautiful but I stopped using it because of its opaque ties with Russia. https://en.wikipedia.org/wiki/OnlyOffice#Organization

Let me introduce you to the beautiful world of virtual environments. They save you the headache of getting a full installation to run, especially when using Windows.

I prefer miniconda, but venv also does the job.

And this works about 25% of the time. The rest of the time, there is some inscrutable error with the version number of a dependency in requirements.txt or something similar, which you end up Googling, only to find an open issue on a different project's Github repo.

Someone needs to make an LLM agent that just handles Python dependency hell.

"Someone needs to make an LLM agent that just handles Python dependency hell."

This is why they are constantly delaying GPT 5.

Haha fair enough—if they can solve the Python situation, I'd be fine slapping the "AGI" label on it.

As someone who doesn't develop in python but occasionally tries to run python projects, it's pretty annoying to have to look up how to use venv every time.

I finally added two scripts to my path for `python` and `pip` that automatically create and activate a virtual env at `./.venv` if there isn't one active already. It would be nice if something like that was just built into pip so there could be a single command to run like Ruby has now with Bundler.

`uv` is great for this because its super fast, works well as a globally installed tool (similar to conda), and can also download and manage multiple versions of python for you, and which version is used by which virtualenvironment.

While my uv use is still early days, i would second this recommendation. I've found it to have the functionallity i miss from conda in venv, but faster and more reliable than conda.

I am also using conda and specifically mamba which has a really quick dependency solver.

However, sometimes repos require system level packages as well. Tried to run TRELLIS recently and gave up after 2h of tinkering around to get it to work in Windows.

Also, whenever I try to run some new repo locally, creating a new virtual environment takes a ton of disk space due to CUDA and PyTorch libraries. It adds up quickly to 100s of gigs since most projects use different versions of these libraries.

</rant> Sorry for the rant, can't help myself when it's Python package management...

Same experience. They should really store these blobs centrally under a hash and link to them from the venvs

Virtual environments with venv don't answer the python version problem unless you throw another tool into the mix.

uv solves this problem.

  uv venv python3.11

done.

conda and uv do manage python versions for you which is part of their appeal, especially on systems that don't make it super straightforward to install multiple different versions of pre-compiled runtimes because their official OS channel of installing python only offers one version. At least on macos, brew supports a number of recent versions that can be installed simultaneously.

Hmm? My venvs do include the Python version (via symlink to /bin). Don't yours?

If you use something like uv (expanded here: https://news.ycombinator.com/item?id=43904078), I think it does. But if you just do `python -m venv .venv`, you get the specific version you used to create the virtual environment with. Some OSes seem to distribute binaries like `python3.8`, `python3.9` and so on so you could do `python3.8 -m venv .venv` to look one env to a specific version, but a bit of a hassle.

The GP's problem was (apparently) an inability to install the right python version, not an inability to select it.

Conda does! `conda create -n myenv python=3.9`, for example

While true, the benchmarks are not run on the Ryzen's NPU but the much stronger GPU.

It's because of the bigger VRAM - 70B parameters don't fit into the 4090's 24GB.

LLM benchmarks at 13:20 https://youtu.be/v7HUud7IvAo?feature=shared&t=800

Not sure how widely known this is, but recent studies have shown great, sustained results for type 2 through dietary interventions using wholegrain oat (as it contains beta-glucan): https://www.thieme-connect.com/products/ejournals/html/10.10... https://www.sciencedirect.com/science/article/pii/S221479931...

Type 2 has had a high correlation with obesity and high carb diets.

But interestingly also a very high genetic factor with 90% of identical twins both having T2DM (which is greater than that of type 1 which if I remember correctly is 40%)

> very high genetic factor with 90% of identical twins both having T2DM

Or both not having it, I hope?

Sounds like Nature vs nurture to me. Until there is a proposed genetic marker... it's just another item confusing the public about correlation vs causation.

Looked at the first paper. I have significant concerns that, frankly, I didn't finish reading.

1. Small sample size, <20 iirc. 2. No control group at all. (There should have been a group under the same requirements and same diet) 3. They picked 'uncontrolled', and from my own experience that term is synonymous with "unmanaged." Which, translates to "patient is not compliant with treatment." As such, feeding them exclusively a vague "diabetic diet" coupled with the 5 day hospital stay- well its enough to cloud the results enough that no conclusions can be made.

4. Cont. Because people rarely intentionally make themselves feel like crap- which you will with uncontrolled type II. The hospital stay, its exposure to allegedly* diabetic friendly foods, and subsequent time for the subjects to realize "I feel better, I like this!" Basically invalidates the entire paper.

* allegedly, because I just got out of a hospital with a fantastic cafeteria. But, the "diabetic menu" had way to many items with high glycemic indexes, and nothing to maintain a steady sugar level until the next meal.

Finally: ''HbA1c was lower four weeks after the oatmeal intervention.''

Two days of fasting won't change an A1c value.

There are several more studies and dietary recommendations regarding oat, just search Google Scholar and similar.

I'm skeptical of any claim that says consuming carbs is helpful when it comes to type 2 diabetes.