Martin Ruskov @mapto@qoto.org

@rivoluzioneurbanamobilita dall'articolo: parcheggio da furbetto
https://blog.urbanfile.org/wp-content/uploads/2024/04/2024-04-17-Urbanfile-milano-isola-area-parcheggio-pepe-borsieri_6.jpg

9 useful #TypeHints (calling them "advanced" is such a clickbait it almost made me skip the article)

After reading 1 and 2, I was "yes, I remember using this in Java and I hate it. Will keep looking for ways to avoid it". After 9, "I'm literally going to introduce this in my code the next 5 minutes".
QT: https://mastodon.top/@frankel/112291487969887816

@triptych age

@litteracarolina at the CHR conference in Paris last year there were a lot of Americans, I'd say big names in their Digital Humanities association. I mentioned that I recently started teaching a course on Cultural Analytics and asked them where do they think I should start. They all agreed: the console. Melanie Walsh was not there, but one could feel her "presence" (https://melaniewalsh.github.io/Intro-Cultural-Analytics/). Theirs was not a satisfactory answer for me, because one doesn't even know what OS students are working with, but there's something in this. Getting used to working with a command prompt, instead of a GUI is an important first step towards getting used to anything coding and Python in particular (think ipython). I hope this helps. Good luck!

Very excited to see that #Bari is hosting Lectures on Computational Linguistics 2024. Extremely interesting guests and topics. https://www.ai-lc.it/en/lectures-2/lectures-2024/ #AILC

@scribe @icedquinn you mean "will work overtime when you fail to negotiate a timeline with the client, or simply fail planning" or something else?

@olav @timnitGebru the simple reason is that LLMs are a pure case of language without culture. Even as we start to identify biases present in models, we completely fail to associate them to the culture that they come from, to the extent that we risk attributing features of the recursive GenAI loop to human society as a whole.

There's also a lot of research on how narrower culture-specific models outperform LLMs on tasks, related to the corresponding cultures. All this should be obvious, but gets subdued in the AI marketing hype

@dominykas yes, "politically neutral" is so much out of place here

@katrintheresa I don't think reporters getting paid is what's at stake here. But I might be wrong to think that the model of the Guardian is better than the model of the NYT and WP.

Anyway, the other thing at stake is this: https://www.theatlantic.com/ideas/archive/2024/04/paywall-problems-media-trust-democracy/678032/

@kdriscoll

Did you see Jonathan Haidt's response on xi-tter?
https://twitter.com/JonHaidt/status/1774571680511508601

via @ecosdelfuturo

@techreview, this article is the perfect illustration of why I quit my subscription. I can understand that somewhere in the world there is some tech nerd who could come up with such an absurd idea. I will never accept that a title like this has to do with any self-respecting tech journalism. And here I see the failure of the entire editorial process of an institution that should know much better. This is only the worst title in a long series of articles lacking any critical reflection about GenAI whatsoever.

@timolaine @mustapipa as is https://mstdn.social/@ecosdelfuturo/112229374667813071

@ecosdelfuturo @mustapipa I'm actually very happy to see him saying that measuring screen time is a "crude" measure. It's also an indication of not caring of the underlying phenomena.