lubitelpospat

Inverse Cramer never fails

Recently tried to initialize one Mac from another - kids, never ever attempt that! Microsoft stuff doesn't get copied over properly, and refuses to behave even if you delete an account and create a new one - the only solution is re-installing the OS from scratch. And if you want to do so, and you erase the disk - surprise surprise, in recovery mode macOS doesn't work with the WPA2/WPA3 Enterprise network; you need to go and find a WPA2 network somewhere to re-install the OS. Does the recovery menu explain that somewhere? Hell no. Damn, installing a linux distro from a usb stick is a better experience than re-installing macOS these days!

Great work! Will be curious to see how it competes with the existing workflow languages such as Nextflow or Snakemake - do you by any chance have a "Why migrate from Nextflow/Snakemake to Rex" pitch I could read somewhere?

I couldn’t find an option to connect to a generic OpenAI-compatible endpoint - did I miss it?

Nice thanks

What do I read to quickly get a grasp of how economics works, from a high level perspective?

At some point I made a tool called Orbit (here https://github.com/vertices-solutions/orbit) that works as a local interface to a Slurm. It reached a stage when it does everything I need, but I don't know if it's a good fit to others. OP, if you want to run Slurm jobs with them feeling more local - come check it out!

Nice project! Would be nice to have an option without a Rapsberry Pi 5 though - I think a decent fraction of your audience already has one and maybe doesn’t want to pay for another

If you're using litert-lm on a Mac with Apple Silicon - DO NOT forget to use "--backend gpu"! On my M1 Pro laptop this single setting resulted in 10x prefill performance and 2x decode performance. To anyone who knows how the internals of litert-lm work - what quantization does it use? How come the model is just 3.4 GB in size?

EDIT: typo fix.

Wow, that's quite beefy.

All right guys, this is your time - what consumer device do you use for local LLM inference? GPU poor answers only

Are any of these illegal in the US or Canada?

Great project! If I may ask - how do you guys compare with React Flow? BTW - licensing looks fair, hope the effort that has been put into this project pays off!

If irrigation consumes 75%, and industry consumes another 20 - how can household usage be at 10%? I feel like these numbers are a little misleading.

Dear Zed devs - please, fix the bug with the "Rename symbol" functionality! Refactoring is an important feature that many of your users need to have to start using Zed as their main daily driver. Otherwise - great IDE! Please, help me forever forget the VSCode nightmare!

Thank you very much!

Is there a DOI for this paper? Couldn’t find it