The post was fixed about 30 seconds after making it - due to the *s being interpreted as italics. It is a shame there isn't a preview button when composing posts.
There's a new field in your profile called delay. It's the time delay in minutes between when you create a comment and when it becomes visible to other people. I added this so that when there are rss feeds for comments, users can, if they want, have some time to edit them before they go out in the feed. Many users edit comments after posting them, so it would be bad if the first draft always got shipped.
Delay is initially 0. The maximum effective value is 10. It only applies to comments.
Does any service offer hosted Forgejo Actions Runners? Or Forgejo compatible CI?
I want to pay for CI on my Codeberg projects, but I've been struggling to find something where I can just pay by the minute. I have projects that benefit from large CI runners but my usage is low enough that it makes no sense to host my own.
I seem to recall the Carriers having some pretty strict requirements on the devices that can connect to the mobile networks. Anyone know if that's (still) the case?
I'm not trying to defend Apple here, I'm just curious if there would be some kind of carrier validation issues if you slapped a full desktop OS on a phone.
I doubt that's the issue. Phones already have a baseband processor and OS in control of the modem. Also evidence if viability is all the Windows laptops with WWAN.
You can connect to 4G with your root-enabled Linux PC and a USB dongle or minipci module. Carriers don't care about your application processor, they only care about the baseband. In the case of a smartphone, you can have root access and still run the Qualcomm closed blob firmware that will drive the baseband
It's good to see this getting some continued development. I looked into it last year[1] and I thought it showed a lot of promise so I've been very disappointed that I never saw a newer model.
I think this approach is not so interesting because it's just quantization of a full precision model. So it speeds up inference (at a quality penalty) but not training. It would be more interesting to train an actually binary model directly, without any floating point multiplication, like in this paper: https://proceedings.neurips.cc/paper_files/paper/2024/hash/7...
I don't think that the suggestion is true, but it's far from outlandish. Are you seriously suggesting the US president rugpulled his supporters with crypto? Are you seriously suggesting the entire US government and academia is tied to a sex trafficking ring? Are you seriously suggesting that the current US president's cabinet contains 20 appointees whose main qualification is being Fox News personalities? Etc etc.
lol fair enough. I only meant that in this case the amount is so small as to be insignificant. If you can choose when the US/Israel bombs Iran then 500k is nothing.
I don't think Trump himself is making the call based on making $500k, but if some dipshit 22-year-old sociopath is weighing in on which attack plan to go with, I think it's entirely possible that he might lobby for the one that most effectively lines his own pockets.
There are several companies I've seen that use a CLA primarily to sell AGPL exceptions so they can actually fund development, Element for example [1]. Some even word the CLA to require them to keep contributions available under an OSI-approved license.
I'm a fan of that model. IIt allows for a path to funding, a legal framework to keep contributed code open, and also allows them license agility to more permissive license ass needed. I've started using that for my own larger projects too.
Being able to sell AGPL exemptions is freeing themselves from the obligations of the AGPL. Fundamentally Element’s structure is the same as Minio’s in the lack of guarantee to external contributors that their changes won’t be incorporated into a closed source fork. So elements use of the CLA is standard rather than novel
That's what they did?
Perimeter length = 2*335mm + 2*235mm
Wall height diff = 2mm
Wall width = 1mm
(2*335 + 2*235) * 2mm * 1mm = 2,280 mm^3
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