Tootfinder

Opt-in global Mastodon full text search. Join the index!

@thomasfuchs@hachyderm.io
2025-07-21 19:50:14

This whole opinion, while well-meaning and bringing up generally good points (we humans can decide what technology we research and how we use it)—misses the point: there will not be an “AGI” that derives from current “AI” technology.
What the “AI” companies are proposing and the media is accepting at face value is like saying ever more realistic graphics in computer games will suddenly reach some threshold and the graphics will become the real world.
It’s nonsense.
theguardian.com/commentisfree/

@dwf@social.linux.pizza
2025-09-20 13:28:29

This comes into effect tonight, meaning H1-B holders currently outside the US may well be refused admission. theguardian.com/us-news/2025/s
For all the rhetoric about strengthening US competitiveness they sure do…

@arXiv_csHC_bot@mastoxiv.page
2025-07-16 09:26:11

Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication Bias
Rushia Harada, Yuken Kimura, Keito Inoshita
arxiv.org/abs/2507.11210

@groupnebula563@mastodon.social
2025-09-17 01:52:58

I feel like a copious amount of Fedi drama could just be avoided by having both parties (who are no doubt well-meaning) just stop and chat (calmly and respectfully) with each other until they come to a conclusion.

@arXiv_mathCT_bot@mastoxiv.page
2025-09-10 07:46:01

Very-Well-Behaved Epireflections for Categories of Models of Sketches
Jo\~ao J. Xarez
arxiv.org/abs/2509.07241 arxiv.org/pdf/2509.07241

@wwwgem@social.linux.pizza
2025-08-16 00:51:48

You may know about #taskwarrior, but do you know #vit?
www-gem.codeberg.page/cli_task

@arXiv_mathCO_bot@mastoxiv.page
2025-09-16 10:50:27

Cycle systems, coparking functions, and h-vectors of matroids
Scott Corry, Anton Dochtermann, Sol\'is McClain, David Perkinson, Lixing Yi
arxiv.org/abs/2509.11460

@StephenRees@mas.to
2025-08-08 16:12:44

From David Suzuki
This economic story doesn’t end well. Let’s change it!
The natural world is foundational to every aspect of our lives. We all need food, air and water. But nature is not our sole underpinning; stories are also foundational. Without them, we wouldn’t be able to make sense of the world or create meaning within it.

Protestors gather at the Port of Vancouver. One is holding a large red flag with a first nations symbol
@aredridel@kolektiva.social
2025-06-27 21:54:18

The popular meaning of "luddite" is a straw-man. It's a sloppy word with a sloppy meaning now, and it's one we'd do well to watch out for.
The actual reality of who the Luddites were is far more interesting, the center of the hard-fought struggles against owners of factories disrupting entire towns and cities economies with massively terrible results, centralizing power and money and leaving a great number of people without any control of their work, formerly artisans who'd had a hand in their own work, and many automated out of jobs. Luddites destroyed automated looms not because they hated technology. They destroyed automated looms because they were taking the livelihood they depended on, with no recourse, and it was a disaster for a good while, and then millwork has gone from those places probably forever.
The problem now with LLMs and automated research systems is there's very little way for workers and creators to stick their shoes in the machinery. They've tried (arxiv.org/abs/2407.12281) but mostly failed, since unlike a factory full of textile workers, the equipment is remote, the automation virtual, an intangible software object that few can access in any meaningful way.

@grumpybozo@toad.social
2025-07-24 13:01:48

The language of my people (well-meaning white guys) is cringe.
In case anyone was wondering: “Are You A Person of Color ?” is not a question that should ever be asked in any context, even if you are asking because you are mostly white folks truly seeking to understand the diversity of your group. I’m pretty much there with sex/gender questions as well.
#SubberThanSubToot

@pre@boing.world
2025-09-04 22:00:39
Content warning: Wednesday S2

Watched Wednesday S2
The family moves to Wednesday's school after being mind-controlled into organising the gala in a plot for money. So it's almost just an Adams Family series really, other than being at Wednesday's school.
The Hyde monsters and werewolves look great, big cgi animals with absolutely massive round eyes.
Wednesday now has a little redhead mini-me stalking her with a crush and eyes nearly as big as a Hyde.
Wednesday is somehow portrayed as both an outcast and also the hero who saves the day and the school every episode. Which is a problem with hero outcasts.
Tim Burton's magical style suits the Adams Family well. Inspired him probably. Goths look cool. The Addams Family is cool.
Nice they way they wove in a story of how Gomez lost his powers. And link Thing to the big bad, meaning Thing can save the day.
Enjoyed the show a lot.
#watching #tv #wednesday

@barochat@mastodon.social
2025-08-12 20:06:45

@… you have 18 followers... meaning that if one of those 18 people check their account on the day you did post something, there is a high chance that it will be read... because there is no selection algorithm here...
I did read your post as well. 😉

@tezoatlipoca@mas.to
2025-08-27 16:50:05

Vegan Lawyer Girlfriend and I have been meaning to go get #Costco membership; they're a good employer who pays well but it was after their refusal to cancel #DEI programs that we really wanted to support with our wallets.
We grabbed good stuff on trip #1, but I'm not sold on the ludicrous amount of plastic p…

@gedankenstuecke@scholar.social
2025-06-24 13:57:57

This is such a good summary of "the problem with 'data science'", as it tries to replace any domain expertise with the misguided notion that some form of statistics.
And so you end up with (maybe even well-meaning) researchers that are so far in over their head that they don't even know what they don't know.
Case in point: the authors of the preprint come from mathematics, computer science, physics, and 'future studies' (lol)…
@…

@arXiv_csSE_bot@mastoxiv.page
2025-09-04 09:10:41

The Impact of Critique on LLM-Based Model Generation from Natural Language: The Case of Activity Diagrams
Parham Khamsepour, Mark Cole, Ish Ashraf, Sandeep Puri, Mehrdad Sabetzadeh, Shiva Nejati
arxiv.org/abs/2509.03463

@arXiv_physicsclassph_bot@mastoxiv.page
2025-09-16 08:02:16

On the compatibility conditions of finite deformations
Bal\'azs Pere
arxiv.org/abs/2509.10525 arxiv.org/pdf/2509.10525

@arXiv_csCL_bot@mastoxiv.page
2025-08-25 10:01:00

Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs
Claire Bonial, Julia Bonn, Harish Tayyar Madabushi
arxiv.org/abs/2508.15977

@mgorny@social.treehouse.systems
2025-07-05 15:24:22

A while ago, I've followed the example given by #Fedora and unbundled ensurepip wheels from #Python in #Gentoo (just checked — "a while ago" was 3 years ago). This had the important advantage that it enabled us to update these wheels along with the actual pip and setuptools packages, meaning new virtual environments would get fresh versions rather than whatever CPython happened to bundle at the time of release.
I had considered using our system packages to prepare these wheels, but since we were already unbundling dependencies back then, that couldn't work. So I just went with fetching upstream wheels from PyPI. Why not build them from source instead? Well, besides feeling unnecessary (it's not like the PyPI wheels are actually binary packages), we probably didn't have the right kind of eclass support for that at the time.
Inspired by @…, today I've tried preparing new revisions of ensurepip packages that actually do build everything from source. So what changed, and why should building from source matter now? Firstly, as part of the wheel reuse patches, we do have a reasonably clean architecture to grab the wheels created as part of the PEP517 build. Secondly, since we're unbundling dependencies from pip and setuptools, we're effectively testing different packages than these installed as ensurepip wheels — and so it would be meaningful to test both variants. Thirdly, building from source is going to make patching easier, and at the very least enable user patching.
While at it, I've refreshed the test suite runs in all three regular packages (pip, setuptools and wheel — we need an "ensurepip" wheel for the last because of test suites). And of course, I hit some test failures in testing the versions with bundled dependencies, and I've discovered a random bug in #PyPy.
github.com/gentoo/gentoo/pull/ (yes, we haven't moved yet)
github.com/pypy/pypy/issues/53