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.
@nataliyakosmyna 
@djuber Oh I absolutely love it whenever I'm talking about a paper and one of the authors respond! You all did an incredible job! Your whole team should feel proud!
@cwebberChristine Lemmer-Webber @djuber thank you! I do love to hear from the “source” as well! We are tired but proud indeed!
These photos of me at an SGI O2 were taken more than 25 years apart. Me working at the engineering computer lab in college, and me at my workbench looking at what’s on the O2 I just found locally on marketplace.
おはようございます
Not sure where to start?
I made a starter pack of 5 essays for the grief-stricken, the burned out, and the quietly determined.
https://www.brichapman.com/p/start-here
自宅サーバー勢は正解かもしれない
이 때부터 참 먼 길을 걸어왔습니다
semiconductor manufacturing girl bath water (ultrapure, ASTM Type I, ISO 3696 Grade 1)
電車でご老人の方に席を譲ったので、今日は何しても許されると思ってる
How about a *hot* accounting date just the two of us and the *dual display* calculator?
(God I love odd gadgets ... look at it!)
Your Brain on ChatGPT: Accumulation
of Cognitive Debt when Using an AI
Assistant for Essay Writing Task https://arxiv.org/pdf/2506.08872
Fascinating paper. It's long, 200 pages; you can read the intro and the Discussion section and get much out of it already though, but they do their homework.
Effects of LLM usage on memory retention and task execution:
- LLM users do get judged well by human and LLM judges for their essays
- Can't remember them
- Low cognitive activation
- Essays are mostly the same
My #KubeCon sessions today:
- 10:05: Keynote panel, with @inductor , Yuiko Mori, and Naoki Oguchi
- 16:30: 
@containerdCNCF containerd Team update and deep dive, with Kohei Tokunaga, Akhil Mohan, and Kirtana Ashok
Re: Joyce - Ulysses returns to the RTÉ airwaves for Bloomsday
Drama On One's Kevin Reynolds introduces the legendary RTÉ production of James Joyce's Ulysses, performed by the Radio Éireann Players, which returns to the airwaves for Bloomsday.
Happy 103rd birthday to James Joyce's novel Ulysses.
Ulysses at PG:
https://www.gutenberg.org/ebooks/4300
あづい
이성애는 이성이 날아가버린 사랑을 뜻합니다 #아무말
𝐈𝐕. 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐚𝐧𝐝 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭
- Quoting Ability: LLM users failed to quote accurately, while Brain-only participants showed robust recall and quoting skills.
- Ownership: Brain-only group claimed full ownership of their work; LLM users expressed either no ownership or partial ownership.
- Critical Thinking: Brain-only participants cared more about 𝘸𝘩𝘢𝘵 and 𝘸𝘩𝘺 they wrote; LLM users focused on 𝘩𝘰𝘸.
- Cognitive Debt: Repeated LLM use led to shallow content repetition and reduced critical engagement. This suggests a buildup of "cognitive debt", deferring mental effort at the cost of long-term cognitive depth.
Results for Brain-to-LLM participants suggest that timing of AI tool introduction following initial self-driven effort may enhance engagement and neural integration.
𝐈𝐕. 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐚𝐥 𝐚𝐧𝐝 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐄𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭
- Quoting Ability: LLM users failed to quote accurately, while Brain-only participants showed robust recall and quoting skills.
- Ownership: Brain-only group claimed full ownership of their work; LLM users expressed either no ownership or partial ownership.
- Critical Thinking: Brain-only participants cared more about 𝘸𝘩𝘢𝘵 and 𝘸𝘩𝘺 they wrote; LLM users focused on 𝘩𝘰𝘸.
𝑺𝒆𝒔𝒔𝒊𝒐𝒏 4 𝑹𝒆𝒔𝒖𝒍𝒕𝒔:
- LLM-to-Brain (🤖🤖🤖🧠) participants underperformed cognitively with reduced alpha/beta activity and poor content recall.
- Brain-to-LLM (🧠🧠🧠🤖) participants showed strong re-engagement, better memory recall, and efficient tool use.
LLM-to-Brain participants had potential limitations in achieving robust neural synchronization essential for complex cognitive tasks.
Results for Brain-to-LLM participants suggest that timing of AI tool introduction following initial self-driven effort may enhance engagement and neural integration.
𝐈𝐈𝐈: 𝐄𝐄𝐆 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬
Connectivity: Brain-only group showed the highest neural connectivity, especially in alpha, theta, and delta bands. LLM users had the weakest connectivity, up to 55% lower in low-frequency networks. Search Engine group showed high visual cortex engagement, aligned with web-based information gathering.
𝑺𝒆𝒔𝒔𝒊𝒐𝒏 4 𝑹𝒆𝒔𝒖𝒍𝒕𝒔:
- LLM-to-Brain (🤖🤖🤖🧠) participants underperformed cognitively with reduced alpha/beta activity and poor content recall.
- Brain-to-LLM (🧠🧠🧠🤖) participants showed strong re-engagement, better memory recall, and efficient tool use.
LLM-to-Brain participants had potential limitations in achieving robust neural synchronization essential for complex cognitive tasks.
𝐈𝐈. 𝐄𝐬𝐬𝐚𝐲 𝐒𝐜𝐨𝐫𝐢𝐧𝐠 (𝐓𝐞𝐚𝐜𝐡𝐞𝐫𝐬 𝐯𝐬. 𝐀𝐈 𝐉𝐮𝐝𝐠𝐞)
- Teachers detected patterns typical of AI-generated content and scoring LLM essays lower for originality and structure.
- AI Judge gave consistently higher scores to LLM essays, missing human-recognized stylistic traits.
𝐈𝐈𝐈: 𝐄𝐄𝐆 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬
Connectivity: Brain-only group showed the highest neural connectivity, especially in alpha, theta, and delta bands. LLM users had the weakest connectivity, up to 55% lower in low-frequency networks. Search Engine group showed high visual cortex engagement, aligned with web-based information gathering.
𝐈. 𝐍𝐋𝐏 𝐚𝐧𝐝 𝐄𝐬𝐬𝐚𝐲 𝐂𝐨𝐧𝐭𝐞𝐧𝐭
- LLM Group: Essays were highly homogeneous within each topic, showing little variation. Participants often relied on the same expressions or ideas.
- Brain-only Group: Diverse and varied approaches across participants and topics.
- Search Engine Group: Essays were shaped by search engine-optimized content; their ontology overlapped with the LLM group but not with the Brain-only group.
𝐈𝐈. 𝐄𝐬𝐬𝐚𝐲 𝐒𝐜𝐨𝐫𝐢𝐧𝐠 (𝐓𝐞𝐚𝐜𝐡𝐞𝐫𝐬 𝐯𝐬. 𝐀𝐈 𝐉𝐮𝐝𝐠𝐞)
- Teachers detected patterns typical of AI-generated content and scoring LLM essays lower for originality and structure.
- AI Judge gave consistently higher scores to LLM essays, missing human-recognized stylistic traits.
For 4 months, 54 students were divided into three groups: ChatGPT, Google -ai, and Brain-only. Across 3 sessions, each wrote essays on SAT prompts. In an optional 4th session, participants switched: LLM users used no tools (LLM-to-Brain), and Brain-only group used ChatGPT (Brain-to-LLM).
𝐈. 𝐍𝐋𝐏 𝐚𝐧𝐝 𝐄𝐬𝐬𝐚𝐲 𝐂𝐨𝐧𝐭𝐞𝐧𝐭
- LLM Group: Essays were highly homogeneous within each topic, showing little variation. Participants often relied on the same expressions or ideas.
- Brain-only Group: Diverse and varied approaches across participants and topics.
- Search Engine Group: Essays were shaped by search engine-optimized content; their ontology overlapped with the LLM group but not with the Brain-only group.
𝐍𝐨, 𝐲𝐨𝐮𝐫 𝐛𝐫𝐚𝐢𝐧 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐩𝐞𝐫𝐟𝐨𝐫𝐦 𝐛𝐞𝐭𝐭𝐞𝐫 𝐚𝐟𝐭𝐞𝐫 𝐋𝐋𝐌 𝐨𝐫 𝐝𝐮𝐫𝐢𝐧𝐠 𝐋𝐋𝐌 𝐮𝐬𝐞.
See our paper for more results: "Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task" : https://www.brainonllm.com
For 4 months, 54 students were divided into three groups: ChatGPT, Google -ai, and Brain-only. Across 3 sessions, each wrote essays on SAT prompts. In an optional 4th session, participants switched: LLM users used no tools (LLM-to-Brain), and Brain-only group used ChatGPT (Brain-to-LLM).
Datalog in miniKanren https://deosjr.github.io/dynamicland/datalog.html
And it's using 
@spritelyThe Spritely Institute's Hoot to compile to Webassembly! It's so cool when things like this appear in the wild and you don't even know someone was working on it!
And, this subthread on HN is actually a pretty interesting exchange https://news.ycombinator.com/item?id=44285812
@cwebberChristine Lemmer-Webber @spritelyThe Spritely Institute
Hey that's me! AMA :)
おしがま藍ちゃんとカルカさまを鉢合わせさせる行為
연합우주 오하아사랑 트위터 오하아사 순위가 다른데 그냥 그날그날 높은쪽 순위가 내꺼로 하고있음
HT to 
@hailey for linking this one; it's really good to see something this robust.
I think many of us have suspected that this is the kind of effect one would have when using LLMs heavily: you don't learn, you don't remember, you become a conduit for the LLM tooling. But here's some clear information.
Comparison to search engine usage is also done in the paper.
@cwebberChristine Lemmer-Webber @hailey thank you for mentioning the Search Engine group. I feel seen :-) (I’m the lead author of the paper)
The greatest thing in life is the company of autistic women
@cwebberChristine Lemmer-Webber even better: a polycule of autistic women 
しぬ〜〜〜
@cwebberChristine Lemmer-Webber the "How to read this paper" guide is a welcome addition at the end of the abstract, as though they expected a lot of people to want to read their results, and sympathized with them. I think that's the first time I've seen this, and wish every author was so clear in their anticipation of their readers' goals.
@djuber @cwebberChristine Lemmer-Webber we see you !
おはよう少年！ #ohayougirl
The Bonus Game!!!
Announcing The Bonus Game!
Every time you lose The Game you win The Bonus Game!
You just keep on winning every time!
OSCでCPUとかGPUの温度送信してアバターギミックに出したりしたくなってきたな
Cool atproto apps thread!
RE: https://bsky.app/profile/did:plc:n47ljucitnrs5xxshnic6qkl/post/3lrnh5didbc2w
ねむい…
死ぬほど暑い
確かになーおそろしい / 鶏レアチャーシューのラーメン店で集団食中毒 「色覚障害で赤色わからず」男性客が“自己責任論”に反論 #ldnews https://news.livedoor.com/article/detail/28974377/
Also, feels like there's been so much talking (and of course, doc'ing), so little time to post about it!
- SustainOSS podcast for Maintainer Month: https://podcast.sustainoss.org/272
- Talking and Doc'ing now live on YouTube every week: https://www.youtube.com/playlist?list=PL8Qn4kutqAEuEuNnDtbN7sZuGDKFBmxr3
- Next week, new 
@astro course on Scrimba + my own personal Scrimba -> Astro journey! (Stay tuned for details!)
🦊
NEW(ish) WORK! For the last few months I’ve been helping out at Unbreaking, a volunteer-powered project that’s documenting this administration’s attacks on American institutions. They’re bringing clarity to the chaos, and it’s been a rare privilege to work with them.
Here’s a brief write-up of the work I’ve contributed — and more importantly, the work *they* do. (And how you can help, if you’re interested.) https://ethanmarcotte.com/wrote/unbreaking/
Hey fediFam, TV shows that don't suck?
We just finished The Rookie. We like Scifi, adult cartoons, history, police procedurals, the occasional medical drama.
ㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋㅋ
Kinetic Worm Dimension (Zoolook Design Group, 1999) #DOSGaming #RussianVideogames
해피 프라이드먼스 되세요, 여러분!
프라이드먼스 기념 유리와 가든은 이름 님(https://crepe.cm/@IREUM)이 그려주셨어요. 감사해요!
평안하신지요, 여러분.
@No4Vcb@buttersc.one바주카 님이 백합.정원의 마스코트인 유리와 가든을 그려주셨어요.
너무 아름다워요.. 의상도 귀여워요... 감사해요.
、、、
v4rd4453n
しゅいろ
leyrer
Emelia 👸🏻
정원사