Damn. I bought rl.ai when I was a grad student but it's been laying fallow since I can't really blog about the stuff I'm working on right now. How does one go about selling their domain for millions of dollars?
I see a lot of really divergent results with these time series database benchmarking posts.
Timescale's open source benchmark suite[0] is a great contribution towards making different software comparable, but it seems like the tasks/metrics heavily favor TimescaleDB.
This article has Clickhouse more-or-less spanking TimescaleDB, but the blog post it references[1] is basically the reverse.
Are the use cases just that different?
A good idea and very cleanly implemented.
I imagine that there's a ton of other possible applications that don't require much modification to the code.
Thanks for sharing!
None of these solutions are ideal, although Zenodo's better than most.
As far as I can tell, they're all targeted more towards the final, authoritative release, so it seems you're still out of luck during the paper writing process.
What if I'm just trying to share a dataset/pre-trained model with remote collaborators?
I ran into this when doing some OCR experiments[1], finding acquiring data and pre-trained models to be the most time-consuming part of the enterprise.
This ended up adding enough additional hassle that I didn't manage to get anything really interesting going, although figuring out how to containerize other peoples' code was educational.
Personally, I think I'll be relying on some combination of institutional repositories + torrents/IPFS for any large datasets/models I end up releasing in the future.
Less tersely: this article is one in a long procession of journalists trying to exert control over tech.
The opening example (Speech2Face, which they aver is transphobic) is inflammatory and utterly unrepresentative of the usual topics of AI conferences.
The other references are far better, but the choice is revealing-- it's not so much an abstract concern about an unaccountable few exerting control from the shadows, but alarm that someone else might be muscling in on their territory.
This was great, actually.
I don't program in Scala, but it was very interesting to hear about the difference between types as abstractions vs types as they are used.
For unfamiliar topics or when presented with uncommon insight, I believe rants, monologues, even diatribes are actually some of the best things to read.