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The view is now sorted by last created by default. Maybe most stars https://gitlab.com/traffxml?sort=stars_desc (and last created for repos with the same starts) is a better default sort?

BTW The repo with the specification seems to be https://gitlab.com/traffxml/traff and it contains a presentation with more context https://gitlab.com/traffxml/traff/-/blob/master/TraFF%20Pres...


You can also run FreeCodeCamp locally https://github.com/freeCodeCamp/freeCodeCamp/blob/main/docs/...

And I funded to work to run that on an Android phone https://play.google.com/store/apps/details?id=space.atrailin...


It is different since working groups are not full time roles.


I'm surprised that article doesn't discuss Uber Eats which brings in more revenue that the taxi part (called Mobility by Uber, both are 13b in the quarter that ended June 30, 2022 https://investor.uber.com/news-events/news/press-release-det... ). Lyft doesn't have this revenue.


From the article:

> And while Uber has enjoyed the Covid-precipitated boom in food delivery over the past few years, Lyft remains largely a rideshare company.


Oops, thanks.


Awesome, that works

For reference the full command:

`python scripts/txt2img.py \ --prompt "a red juicy apple floating in outer space, like a planet" \ --n_samples 1 --n_iter 1 --plms --precision full`


I'm stuck on 'RuntimeError: expected scalar type BFloat16 but found Float' too. Most relevant links seems https://github.com/CompVis/stable-diffusion/pull/47 but I'm not sure. Please post when there is a solution.


That might have to do with your Mac OS version. Pre-12.4 Mac OS does not allow the Torch backend to use the M1 GPU, and so the script attempts to use the cpu, but then the cpu does not support half-precision numbers.


Yep---that was it in my case. I had the same error but it went away after upgrading to MacOS 12.5. You should actually check if your PyTorch installation can detect the mps backend: `torch.backends.mps.is_available()` must be equal to True.


Great to see this. Expect scientific publishers to start increasing their open access fees.



What about Sigstore, is there any plan on supporting it?


You can find the feature request for supporting keyless sigstore/gitsign at https://gitlab.com/gitlab-org/gitlab/-/issues/364428


Sorry, I missed the context your original question was about Sigstore. Someone answered in https://news.ycombinator.com/item?id=32569872


Great article. The author mentions: "Machine learning models can now create text and images for zero marginal cost". Another step was just taken in this direction with TikTok launching an 'AI greenscreen' based on text prompts https://techcrunch.com/2022/08/15/tiktok-in-app-text-to-imag...


Yes, there is an internal handbook for things that can’t be public. Also see our confidentiality level classification https://about.gitlab.com/handbook/communication/confidential...


This is awesome! I love the way you have done this. Plus amazingly transparent.


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