1,831 karma · joined November 29, 2016
I remember in college my art history professor had a personal digital collection of high quality scans that he'd procure somehow that were impossible to find online. The data seems to be highly guarded, I'm guessing b/c it can be used to make merchandise
So my impression is that the Rodin Museum is not really the exception here
Can you imagine if GIMP has a similar policy to watermark all it's output with a "Made my GIMP!" in an effort to "attracts the flow of new contributors" and to make it hard for people to build a product with it?
The OSM situation seems more akin to GIMP insisting you have to watermark every image with "Made thanks to the GIMP Corporation!"
- I sort of respect the copyleft ethos. You put out a thing with the understand everything it touches is also going to be openly available. I think attribution isn't really part of the central idea there.
- I also respect the MIT/BSD style thing where you're just putting stuff out there in the public domain and it's part of the corpus of human knowledge. You leave your mark so to speak.
The middle ground of "You can use this but you gotta promote our service and stamp our name on it" just feels icky. I don't want to contribute to that. I feel I'm helping OSM the organization and.. I don't know them .. are they good stewards of the data I'm giving them? Are they going to be good stewards in 10 years? Hopefully that kinda makes sense? I guess the same can be said for Wikipedia, but Wikipedia for better or worse is very siloed. You have to attribute stuff you copy from Wiki but ..
A: Realistically nobody is actually copying wiki articles other than lazy high school students. It's just not very reusable outside of Wikipedia
B: This is more of a plagiarism issue. It encourages people to disclose it's not their own words (this is not an issue with maps.. nobody thinks you surveyed your city to draw the map)
If Wiki became CC0 tomorrow nothing would really change. If you needed to fork Wiki and put an attribution in the footer, it'd be very innocuous..
> Licences that are not compatible
> Licences that require downstream attribution
> For practical reasons we require that users of OpenStreetMap data attribute the project as a whole and we in turn provide attribution to third parties via the "Contributor" pages. Licences and terms of use that require attribution of the third party data source directly on derived works are incompatible.
"require attribution of the third party data source directly on derived works" is exactly what OSM requires. It's hypocrisy of a sorts
https://osmfoundation.org/wiki/Licence/Licence_Compatibility
Ironically.. you can't contribute map data that requires attribution to OSM... even though they require attribution..
It's a great project.. but I think they really messed up the licensing in a misguided effort to make the project viral. Maybe trying to emulate Wikipedia. But text and map data are just fundamentally very different. It's really unfortunate. I hope an alternative emerged eventually
Not saying you're wrong, just curious if there are numbers backing this up.
There just isn't much to do in space. You have:
- Telecommunications.. Can scale only so much. Starlink is cool. Compared to Iridium it's way way cheaper. But demand is .. modest? It seems to only beats fiber on the ground in special situations
- Telescopes looking up. This is limited by science budgets that aren't going to change much.
- Telescopes looking down. Those people have infinite budgets and already have all the satellites they'd want. If you're not in NATO then can't depend on SpaceX anyway - so they're not capturing that market.
- Tourism. Vomiting for several hours in zero-G will be a thrill for some for a bit, but I don't see this being a huge industry. Maybe on par with basejumping or something.
- Mining.. seems impractical scifi.. premised on wanting to build huge structures in space - but again, for what goal ultimately?
It's sort of like if you made access to Antarctica 100x cheaper. It'd be great, but it's hard to imagine it's going to suddenly open up a ton of demand.
But I'd love to hear counter arguments :)
Furthermore, the generator can run 24/7, but realistically you will at most drive ~6 hours a day. So for a leisurely road-trip this may be enough to avoid needing stops at charging stations
The whole space is a lot more icky than one would like it to be.. Which is unfortunate b/c while it doesn't have a billion features, it's a nice composable reactive framework to use (at least from cljfx/clojure)
Im a bit lazy and only use the free models different companies host and the biggest difference i see is that some models (Gemini, OpenAI) get progressively stupid in long chats. You end up having to start a new session every oncr in a while. Or they get really hung up on a theme and cant shift to a new topic.
By contrast, Ive been impressed with Qwen. I have some chats on research and code architecture that have stretched for weeks without any noteable change in quality (though occassionally it seems to "rush" to an answer)
Im just looking at all the listed benchmarks and im unsue which i should be looking at
I found a nice workaround though. You can upload data to Github - though sometimes you need to split this across several commits b/c you can't push several GBs of data at once. You then link your Github account to Zenodo and make a release. The data is then copied over as a .zip (the Release "Asset"). Takes under a minute.
The Zenodo-Github connection is still working just fine.
Maybe this will be useful for someone!
I've struggled to protect eletronics. Waterproof enclosures all fail over time. Though I have some ideas for immersion in mineral oil. But finding actuators that could work has been a bit of a struggle. These look cool, though maybe not something one could run off 5V :) Ill keep looking around
Mayne you know, are the internal components already designed with corrosion in mind?
I've been looking for actuators to use in damp/wet environments and sealed actuators are rather expensive and supposedly don't last too long
seems pretty easy to make it sufficiently difficult to trick the system
So the switching cost is buggy software. You'd need something radically different that brings enough new features to the table to make it worth it the switch and dealing with bad/non-existant support.
I think something like Nix/Guix but with stable library versions that matches Ubuntu/Debian LTS ones 1-to-1 could get traction
But while it superficially has similar syntax to Clojure, it's fundamentally a very very different language. You don't have immutable data-structure. It's intended to be used in an imperative way. It's extremely minimal in a kind of Scheme-y way. It's sort of like Scheme with more creature comforts. It was a very interesting PEG system for building DSLs and an innovative "runtime" where the program state is also a Janet program in an of itself. It's very weird and has new paradigms.
In the end I wasn't sure where I'd ever really want to use it though. Maybe similar scenarios as Scheme? If I wanted a scripting language where the whole language is something I could keep in my head.
- The language is often very vague and imprecise, so it's more difficult than it feels it should be
- Concepts are sometimes introduced "at random" in ways that only really make sense in hindsight. So as you're reading you're left scratching your head as to why something was brought up.
- There are constant philosophical and historical digressions that seem to hold deeper meaning, but maybe once you know the topic already.
- Similarly, constantly talking about people that take issue with the method. People not liking the method is a constant theme (they seem really butthurt about this?). But the craziest part is this all done before you even really understand what the method is!!
- The editor must have placed some strict requirement of saying "Bayesian" at least five times per page.
- No index. Useless table of context. But lots of end-notes you feel compelled to flip to constantly
Overall it feels like a textbook written to impress other statistics professors - and as an outlet for the author to air some frustrations with how people do statistics (which may be completely valid!)
The overall structure and objectives seem solid for the most part. It's just a lot of the details aren't great. The problems (so far) have been good. The examples in the text are fun and compelling, but you have to do your own legwork to actually pick through all the prose and tie the pieces together - to figure how it fits together mathematically. Fortunately AI helps as a tutor