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.

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@mapacheMaho 🦝🍻 I mean this in more ways than one. My favorite thing to point out is early 2010s iPhone ads. They used their 20 seconds to explain one detail about the iPhone UI each. One clip about the home button. One about voicemail etc.

While pointing out "how easy it is" they actually explained the steps that were not much more easy or hard to millions of people. Who then got their phones and were convinced these devices were easy to use (because they already learned most things from the ads).

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これは「三次元的ハイファイ」の設計思想を継承し、ピント面から遠ざかるにつれてなだらかに変化する美しいボケ味で、人物や静物などの奥行き感をより自然に描写されたゆでたまご

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Standards work is about coming together and working on reaching a shared consensus on a thing. We don't do corporate politics, or government politics, at standards meetings nor venues.

Sure, you can disagree on things outside of the standards world, but within, the only thing that matters is advancing the standards and building them right.

Like, when running the ActivityPub Trust and Safety taskforce, we had Meta employees show up to our meetings, and they were genuinely helpful (volunteering for instance to scribe the meeting, which is like one of the hardest jobs to fill at a standards meeting), and when they joined I had to repeat that golden rule of standards: we leave corporate politics and our company's at the door.

We did have one or two people mad that they were present, but luckily I didn't have to explicitly remind anyone of the W3C code of conduct which governs those meetings.

Standards work is truly a bit weird like that. It takes a lot of discipline to separate out those things severance style: an innie and an outie with regards to the standards work.

Finally, we live under capitalism, or at least the vast majority of us do (it's always interesting when someone from the CCP shows up at a standards meeting!), and living under capitalism means everything revolves around money.

W3C membership ain't cheap: membership dues start at like €2,000 and go up to like €60,000 or something.

As an Invited Expert, I'm allowed to participate without paying the W3C. However, I still need to be paid for my time, because time equals money under capitalism for 99% of us.

Bluesky stepping up to fund this work is a genuinely good thing, regardless of what you may think of bluesky as a company or social app.

There weren't really any other companies with an interest in decentralized social that could fund work at this scale. An NLNet grant probably wouldn't be workable for this, and operates at a much slower pace.

Anyway, hopefully that gives you a better idea of how standards are built and funded.

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• $98,329 on a Steinway piano for the Air Force chief of staff’s
• $5,300,000 on Apple devices
• $2,000,000 on Alaskan king crab
• $6,900,000 on lobster tail
• $15,100,000 on ribeye steak in a single month
• $124,000 on ice cream machines
• $139,224 on doughnuts
• $12,000 on fruit basket stands
• Over $60,000 on Herman Miller recliners

Soup kitchens can provide a hot meal to the hungry for an average of $2 per plate

This could have provided about 1,000,000 hot meals to people in need.

Headline Pete Hegseth Blew Billions on Fruit Basket Stands, Chairs, and Crab
The Defense Department went on a $93 billion spending spree in 2025.

I’m starting to think this Hegseth guy is a real jerk
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連載、Misskey & Webテクノロジー最前線が更新されました!最新回は「予測三角形を用いたネストしたメニューのUX向上」。執筆は @syuilo:petthex_javasparrow:しゅいろ:petthex_javasparrow:(本物) さんです。
今回は、ポップアップメニューにサブメニューがあるときに、その項目を選択する際のマウスの操作の体験を向上するため、予測三角形という概念とその実装を説明しています。 gihyo.jp/article/2026/03/missk

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우리나라 섬 지역 263곳을 조사한 결과 약 60%의 섬에 개구리가 서식 중인 것으로 조사됐습니다. 가장 많이 발견된 건 청개구리로, 섬 143곳에서 확인됐고 멸종위기 야생생물 1급인 수원청개구리와 2급 맹꽁이·금개구리도 113곳에 분포하고 있었습니다. 일부 섬 개구리는 육지 개구리와 유전자도 달랐습니다.

빙하 타고 섬으로 간 ‘개구리들의 모험’…유전자 달라

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Large-scale online deanonymization with LLMs

https://arxiv.org/abs/2602.16800

It's over, anons.

arXiv logo

Large-scale online deanonymization with LLMs

We show that large language models can be used to perform at-scale deanonymization. With full Internet access, our agent can re-identify Hacker News users and Anthropic Interviewer participants at high precision, given pseudonymous online profiles and conversations alone, matching what would take hours for a dedicated human investigator. We then design attacks for the closed-world setting. Given two databases of pseudonymous individuals, each containing unstructured text written by or about that individual, we implement a scalable attack pipeline that uses LLMs to: (1) extract identity-relevant features, (2) search for candidate matches via semantic embeddings, and (3) reason over top candidates to verify matches and reduce false positives. Compared to classical deanonymization work (e.g., on the Netflix prize) that required structured data, our approach works directly on raw user content across arbitrary platforms. We construct three datasets with known ground-truth data to evaluate our attacks. The first links Hacker News to LinkedIn profiles, using cross-platform references that appear in the profiles. Our second dataset matches users across Reddit movie discussion communities; and the third splits a single user's Reddit history in time to create two pseudonymous profiles to be matched. In each setting, LLM-based methods substantially outperform classical baselines, achieving up to 68% recall at 90% precision compared to near 0% for the best non-LLM method. Our results show that the practical obscurity protecting pseudonymous users online no longer holds and that threat models for online privacy need to be reconsidered.

arxiv.org · arXiv.org

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