Understanding vs. impact: the paradox of how to spend my time
Understanding vs. impact: the paradox of how to spend my time
You can't make this shit up ... or maybe you can, if you're an AI. Beautifully #selfreferential !
Springer Nature book on machine learning is full of made-up citations – Retraction Watch
"Ah, we meet again, Professor ... "
Wait, haven't I tooted this joke before?
Random #RustLang tip: if you need self-referential struct – take a look at Yoke (https://docs.rs/yoke/latest/yoke/).
It’s really great and comes in handy eg. if you need to do some zero-copy processing of incoming data, returning stuff referencing those data in the output. And beside a single derive-macro, it’s macro-free.
I used ouroboros and rental before that, but Yoke is just a joy to use in comparison.
This crate provides `Yoke<Y, C>`, which allows one to “yoke” (attach) a zero-copy deserialized object (say, a `Cow<'a, str>`) to the source it was deserialized from, (say, an `Rc<[u8]>`), known in this crate as a “cart”, producing a type that looks like `Yoke<Cow<'static, str>, Rc<[u8]>>` and can be moved around with impunity.
TL;DR: Very few people advocating #Māori Data Sovereignty are walking the talk. It's oh so hard and expensive to do the right thing and oh so cheap and easy to use those shiny #datafarm alternatives.
Tautoko Dr Karaitiana Taiuru For This Important but depressing research.
Noting that even he decided to post this on LinkedIn. #selfreferential
Māori Perspectives of Data Jurisdiction, Online Identity and Privacy
https://www.linkedin.com/pulse/m%C4%81ori-perspectives-data-jurisdiction-online-identity-dr-karaitiana-hcpcf?utm_source=share&utm_medium=member_android&utm_campaign=share_via
This research is a follow-on from my previous article about Data Jurisdiction and why many Māori Data Sovereignty Principles are no longer relevant, in particular this article will look at jurisdiction. The findings of this research show that most Māori (individuals, whānau, hapū, marae and Iwi) wit