This is...already the case. The distributor is the one who is bound to supply the source code--"upstream" isn't implicated in the license.
40 karma · joined January 23, 2019
This is...already the case. The distributor is the one who is bound to supply the source code--"upstream" isn't implicated in the license.
They're not making everything AGPL and seem to be aware of the kind of thing you're talking about. From TFA (emphasis mine):
> Going forward, we will be relicensing our core open source projects (Grafana, Grafana Loki, and Grafana Tempo) from the Apache License 2.0 to the Affero General Public License (AGPL) v3. Plugins, agents, and certain libraries will remain Apache-licensed. You can find information in GitHub about what is being relicensed for Grafana, Loki, and Tempo.
If you've only got a basic IPC system (say, Unix domain sockets), then you could stream a standard seriaization format across them (MessagePack, Protobuf, etc.).
To your idea of gracefully moving to network-distributed system: If nothing else, couldn't you just actually start with gRPC and connect to localhost?
Is there something I'm missing?
Nextcloud's website does have a page on getting ("free"?) accounts from providers. It took me a hot second to find the "change provider" link, but that allows you to see a bunch of options.
That is to say, if e.g. Snowden's actions were civil disobedience, it's not incoherent to say both that:
1. He was right to leak the info, and
2. He need not be pardoned in the name of justice.
I use the Calendar app with NextCloud[0] for a CalDAV server + calendar web interface. It's fully-featured as far as I can tell. I use its CalDAV functionality to sync to my Android phone using DAVx^5[1], which integrates the calendars natively so that you can use whatever calendar app you want on your phone (I use Etar[2]).
Hence, Canonical (or anyone else trying to re-release under the CDDL) cannot distribute binaries of the kernel modules.
However, you are fully allowed to compile and link the two on your own. This is why the alternative to binary distribution is compiling yourself with the help of DKMS.
I'm confused here. How are they not both cubic?
Inertia, if nothing else. Moving platforms, especially in a highly-regulated industry, is no small thing.
More generally, I think we need to approach discussions about data collection from the perspective that data being about a person doesn't mean that the person owns that data. Here's what I mean: The sort of data we're talking about is personal (read: "individual") merely in the sense that it is about persons. However, it's social (rather than personal) in its origin. For example, the list of my commercial transactions isn't originally (fundamentally?) data about my person. Rather, it's data about a social fabric of which I happen to be a part. So, personal data is not originally personal.
What's the significance of personal data being fundamentally social (by way of its origin)? Well, I would contend that it means personal/individual means of managing personal privacy are ultimately insufficient; your data (while it is about you) doesn't naturally belong to you. Therefore, my takeaway is this: If we want to make personal data (i.e. data about persons) practically personal (i.e. give persons control over their own data), then we need social mechanisms to protect it. My aforementioned point, about the insufficiency of personally-undertaken measures, is corollary to this.
For better or worse, it seems like most people these days equate "social mechanisms" with "regulation". However, there are in principle other social bodies (both formal (e.g. unions or guilds), or informal (e.g. various social movements)) that could be sufficient to make personal data truly personal. However, I'm unfortunately skeptical of the efficacy any non-governmental body could be when dealing with this problem. But that's beside the point.
[0] https://www.vox.com/2018/4/20/17254312/facebook-shadow-profi...
I think you're actually agreeing here with mjburgess' point that therefore theory-A should be taken as the basis for a research paradigm.
I don't believe this is correct. If the brain's model/the brain itself is Turing-complete, that doesn't mean a Turing machine can simulate; it means that the brain's model can simulate any Turing machine qua Turing machine. This does not imply the reverse, that any Turing machine can simulate it.
Just a little niggle, but I think you meant to say special relativity; special relativity is about the relationship between space and time, whereas general relativity (I believe) is more about gravitation and other things that I definitely don't understand.
IANA finance expert, but I suppose you could bound the MBS market with some kind of maximum-degrees-removed-from-real-assets metric, and regulate based off of that. But that, to me, would seem unwise since that metric would likely be fairly abstract and therefore dis-preferred as a basis of regulation.
I'm not saying the contents of the article is wrong, but just be aware of its source/publisher.