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BREAKING: Getty Images just filed a copyright and trademark infringement lawsuit against Stability AI in Delaware District Court. Getty alleges that Stability copied more than 12 million Getty photos to train Stable Diffusion. Full complaint here: copyrightlately.com/pdfviewer/

@shriramk Interestingly, DeepL’s translation into German is more literal:

Ich danke Ihnen für die wohlwollende Prüfung dieses Schreibens und versichere Sie, Herr Dekan, meiner vorzüglichen Hochachtung.

It’s always fun to translate French formal closings:

French: En vous remerciant de bien vouloir considérer la présente avec bienveillance, je vous prie de croire, Monsieur le Doyen, à l’assurance de ma considération très distinguée.

English: Thank you for your kind consideration of this letter.

I guess “of this letter” already makes this excessively verbose ;-)

Interesting new research on the of researchers:

Riccardo Fini, Julien Jourdan, Markus Perkmann, and Laura Toschi: “A New Take on the Categorical Imperative: Gatekeeping, Boundary Maintenance, and Evaluation Penalties in Science” doi.org/10.1287/orsc.2022.1610

#Pandoc 3 introduced #Markdown support for #wikilinks:

[[pandoc|https:/‌/github.com]]

There is no consensus across tools whether the link title should come before or after the pipe character, so pandoc supports both. Choose by enabling either of the new extensions
+wikilinks_title_after_pipe
or
+wikilinks_title_before_pipe

Works with #CommonMark, too: for GitHub wiki input, use gfm+wikilinks_title_after_pipe

Twitter killt die freie API und damit viele spannende Projekte.

Du hast einen Bot und brauchst eine neue Heimat? Wir bieten dir ein neues Zuhause!

bot.swiss.social/about

Come to think of it, not so different from some chatGPT answers I have read...😁
---
RT @DrGBuckingham
"Accepting the job"

Some real horror AI-generated images here! (found in FB, not mine)
twitter.com/DrGBuckingham/stat

I had the great honor of reviewing 1 of the best contributions to #history of #science in 2022 - THE SQUARES (by @ccmmody; Open Access at MIT Press): muse.jhu.edu/pub/1/article/879

Here`s my own take on how a square scientist - a representative of the "silent majority" in the 1970s - looked like:

I know there are countless gems buried in the depths of @internetarchive but I was stunned when I run across this rare book about Symbolics Lisp Machines, "Lisp Lore: A Guide to Programming the Lisp Machine" by Hank Bromley:

archive.org/details/lisploregu

#LispMachines #lisp #retrocomputing

Here's the full process I went through to summarize a 35 minute YouTube video using Whisper plus GPT3

It had some manual steps, but automating it doesn't feel like it would be a particularly hard project using the tools we have right now

gist.github.com/simonw/9932c6f

How long before we have good automated information extraction from videos?

About five years ago, I felt sad that the best / most informative sources of information on so many things had moved to video because video monetizes much better than text, but it now seems plausible that, in the next N years, automated systems will be able to take a 30 minute video and turn it into text that takes 5 minutes to read.

In light of recent developments regarding the #twitter API (it will no longer be free) and the likely ripple effects this will have on other websites and services, I humbly submit this updated version of an old #xkcd comic:

xkcd.com/2347/

Nous avons eu la chance de pouvoir discuter des enjeux de la préservation du jeu vidéoà la RTS. Merci beaucoup de nous avoir donné l'occasion de faire découvrir ce sujet.

rts.ch/play/tv/forum/video/for

Re-watching some old Space 1999 episodes (one of my childhood favorites) to find that, despite a moonbase and space craft, typewriters are still in use.

The thing I'm most interested in, this morning, are the leaks suggesting that GPT-4 is a "faster" version of ChatGPT. Could be nonsense. But if not ... making these things lighter weight (or able to handle longer contexts at the same weight) would really change the business case and (also, selfishly) matter a lot for academics.

Seeing the ways ChatGPT & generative AI are changing so much about how people create in just a few months, it’s crazy to think tech spent years convinced the future was selling JPEGs stored in a very slow distributed database.

Sorry, just the links to the JPEGs not actual images

Over on Twitter Mike Sharples posted link to this paper. (twitter.com/sharplm/status/162)

Worth a read if this is your interest (genesis of technological ideas):

arxiv.org/abs/2301.05570

@luca

Tbh, hopefully it will force the social science researchers to diversify their dataset and finally read the papers published weekly since 2015 with titles along the lines of "Stop doing research with Twitter and generalizing it, it's a weird website with weird demographics and weird interactions".

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