What is Hackers' Pub?

Hackers' Pub is a place for software engineers to share their knowledge and experience with each other. It's also an ActivityPub-enabled social network, so you can follow your favorite hackers in the fediverse and get their latest posts in your feed.

0
0
0
0
0
1
0
1

Hello to all of folks and beyond!

As you may be aware, we host an instance of @peertube and the developers are looking for donations to further improve their platform! This will mean improvements to the instance we host as well! 😎

They’re less than €13K away from their €75K goal with less than 48 hours left. Let’s help them get there!

You can donate to them using the link below 👇
support.joinpeertube.org/en/

Edit: Less than €6K now with just 17 hours left!

:peertube: :fediverse:

0
0
0

Been experimenting with my Pixel's cameras, and I'll guess you could say that this is the second official photo that is taken with my pixel :3
(Photo is edited with )

The "first official photo" is a pet photo, so I can't share that here :/

Do note that my work is licensed under CC BY-NC 4.0, tho feel free to boost :boosts_ok_gay: this post! :neobun_heart:

0
0
1

me using an IDE: okay, i press Ctrl+W a couple times to expand the selection to the grandparent's scope, then do a move refactor to a sibling module and use a fifty character regex to fix up some outdated doc comments. okay, that took thirty seconds, i'll commit on the refactor branch so i don't lose my progress, then switch back to main and iterate on the new settings format

me using a digital painting programme: ah. i seem to have coloured the shirt on the body layer, which wouldn't have worked if i hadn't accidentally made the body mask layer take up the entire character two hours ago. i guess i'll just undo those ten minutes of work, which means i'll lose the hair, too. i don't remember which oil brush preset i mangled into looking like hair, so i'll just spend the next two minutes moving a slider two steps to the right, then painting a circle, then undoing it over and over until i get something that sort of looks right.

0
0
1
1
0

お前を嫁に もらう前に
言っておきたい 事がある

かなり激しく たまごっちを
ぶつけ合って 厳選しないで

スタバの壁に よじ登って
納豆の成分表 朗読しないで

遠足に行く 子どもたちに
300円で 塩売らないで

あからさまに 動揺しながら
3億円事件の ウィキ読まないで

実家の墓の 卒塔婆を盗み
カンナをかけて 初期化しないで

忘れてくれるな

1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1

Malaysian activists are trying to gather a 1,000 ships from around the world to sail to Gaza in unison to break the Israeli blockade

This comes after Israel illegally stopped the Madleen at sea and Egypt continues to stop the land convoy to Gaza

newarab.com/news/malaysian-gro

0
0
0
0

日韓音楽シーンをつなぐヒントはここに。『Any Good Music Here?』主催者・出演者に聞く“越境ショーケース”の舞台裏|INTERVIEW #60

BUZZY ROOTS|韓国インディーズ音楽情報 @buzzyroots.com@web.brid.gy

2025年5月に開催されたショーケース『Any Good Music Here? SHOWCASE!』の主催者・出演者にインタビューを敢行。

投稿 日韓音楽シーンをつなぐヒントはここに。『Any Good Music Here?』主催者・出演者に聞く“越境ショーケース”の舞台裏|INTERVIEW #60 は BUZZY ROOTS に最初に表示されました。

Read more →
0
1
0

New study on the effects of LLM use (in this case on essay writing):

arxiv.org/abs/2506.08872

Quote:

"LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning."

The interesting thing is: People who used search engines (to find sources etc) did not show similar issues. This is an important antidote against the belief that LLM-based tools are just like search engines. Which they are not. They are massively degrading their users' mental abilities and development. Which is why these systems have absolutely no place even _near_ any school or university.

hails.org/@hailey/114691651497

arXiv logo

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalography (EEG) to assess cognitive load during essay writing, and analyzed essays using NLP, as well as scoring essays with the help from human teachers and an AI judge. Across groups, NERs, n-gram patterns, and topic ontology showed within-group homogeneity. EEG revealed significant differences in brain connectivity: Brain-only participants exhibited the strongest, most distributed networks; Search Engine users showed moderate engagement; and LLM users displayed the weakest connectivity. Cognitive activity scaled down in relation to external tool use. In session 4, LLM-to-Brain participants showed reduced alpha and beta connectivity, indicating under-engagement. Brain-to-LLM users exhibited higher memory recall and activation of occipito-parietal and prefrontal areas, similar to Search Engine users. Self-reported ownership of essays was the lowest in the LLM group and the highest in the Brain-only group. LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning.

arxiv.org · arXiv.org

0
0
0
1
0
0
0
0
1
0