Re:Distill: a modern machine learning journal
by cing on Monday March 20, 2017 @02:57PM
(#13916704)
Is there any concern about a web-native journal being less "future-proof"? I've come across quite a few interactive learning demonstrations in Flash/Java that no longer work.
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Re:Distill: a modern machine learning journal
by shancarter on Monday March 20, 2017 @03:02PM
(#13916754)
This is a high-priority for us. By focusing on web-standards and avoiding proprietary plugins we're pretty confident that the content will be future-proof.
Re:Distill: a modern machine learning journal
by IanCal on Tuesday March 21, 2017 @05:40AM
(#13920839)
Something that could help is perhaps a choice that examples should work in (e.g.) Firefox recent.x on ubuntu, then provide a VM and archived version of firefox. Put it on a platform that archives things with C/LOCKSS and get a doi, then although you're not expecting people to use it on a daily basis, it'd cover several "worst case" kind of scenarios.
Of course that's not completely permanent, but would perhaps provide some more safety.
Re:Distill: a modern machine learning journal
by andrew3726 on Monday March 20, 2017 @06:17PM
(#13918139)
Also in addition to the sibling comment, the published articles will be on github under their organization.
Re:Distill: a modern machine learning journal
by timClicks on Monday March 20, 2017 @09:55PM
(#13919211)
I feel like binding the journal to GitHub means that it's less likely to exist over the long term (where long term means >100 years, which is as long as I would expect an academic article to be accessible for).
Re:Distill: a modern machine learning journal
by colah3 on Monday March 20, 2017 @10:11PM
(#13919298)
We produce "archive html" files where everything is bundled into a single file. We're looking into ensuring their long-term preservation with projects like LOCKSS.
Example: http://distill.pub/2016/augmented-rnns/index.archive.html