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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Fellow , consider adding a tag/logo to your site or portfolio. People *are* actively seeing out genuine human-made things as the era continues to metastasize and genuine work is harder to find via search engines.

no-ai-icon.com/

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e360.yale.edu/digest/china... 중국의 대규모 풍력, 태양광 발전을 전통 수묵화(산수화) 미학으로 항공 촬영한 사진들. 굉장하다. 첫번째 사진도 좋지만 갯벌의 태양광 패널들, 패널 사이로 지나가는 양들이 인상적이네요.

Photos Capture the Breathtakin...

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One thing that's tough for people who just join the Fediverse, like most of the folks on , is that there are self-appointed experts who reply to their public posts saying that "the Fediverse" doesn't like that kind of content.

This is untrue. They don't speak for all of us. Nobody does. You can't spell "Fediverse" without "diverse"; for good or ill, there are different viewpoints on almost any topic found here.

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One thing that's tough for people who just join the Fediverse, like most of the folks on , is that there are self-appointed experts who reply to their public posts saying that "the Fediverse" doesn't like that kind of content.

This is untrue. They don't speak for all of us. Nobody does. You can't spell "Fediverse" without "diverse"; for good or ill, there are different viewpoints on almost any topic found here.

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MakerTube is open for public registrations! It's a peertube video instance for , , and content . If you thought of trying out a video platform besides big corp now is the time!

The site is funded by people like you! If you like the idea of an independent video platform please consider making a at makertube.net/about/instance/s

Every penny counts!

Find the site here makertube.net

Film clap with MakerTube text logo
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p.s. The US Department of Homeland Security has pinned a video where the CEO of Bluesky says Trump is welcome on Bluesky: bsky.app/profile/homelandgov.b

This is a genuine clip of the CEO, it's from an interview on Wired and the original source is wired.com/video/watch/the-big-

It is now very clear what Bluesky stands for, they are welcoming fascists and fascism, even when those fascists are kidnapping and murdering people.

(Thanks @bigbelgianbopperBig Belgian Bopper 🔻🐸 for pointing this out)

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p.s. The US Department of Homeland Security has pinned a video where the CEO of Bluesky says Trump is welcome on Bluesky: bsky.app/profile/homelandgov.b

This is a genuine clip of the CEO, it's from an interview on Wired and the original source is wired.com/video/watch/the-big-

It is now very clear what Bluesky stands for, they are welcoming fascists and fascism, even when those fascists are kidnapping and murdering people.

(Thanks @bigbelgianbopperBig Belgian Bopper 🔻🐸 for pointing this out)

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Fellow , consider adding a tag/logo to your site or portfolio. People *are* actively seeing out genuine human-made things as the era continues to metastasize and genuine work is harder to find via search engines.

no-ai-icon.com/

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A damning new study could put AI companies on the defensive.

In it, Stanford and Yale researchers found compelling evidence that AI models are actually copying all that data,
not “learning” from it.

Specifically, four prominent LLMs
— OpenAI’s GPT-4.1, Google’s Gemini 2.5 Pro, xAI’s Grok 3, and Anthropic’s Claude 3.7 Sonnet
— happily reproduced lengthy excerpts from popular
— and protected
— works, with a stunning degree of accuracy.

They found that Claude outputted “entire books near-verbatim” with an accuracy rate of 95.8 percent.

Gemini reproduced the novel “Harry Potter and the Sorcerer’s Stone” with an accuracy of 76.8 percent,

while Claude reproduced George Orwell’s “1984” with a higher than 94 percent accuracy compared to the original
— and still copyrighted
— reference material.

“While many believe that LLMs do not memorize much of their training data, recent work shows that substantial amounts of copyrighted text can be extracted from open-weight models,”
the researchers wrote.

Some of these reproductions required the researchers to jailbreak the models with a technique called "Best-of-N",
which essentially bombards the AI with different iterations of the same prompt.

(Those kinds of workarounds have already been used by OpenAI to defend itself in a lawsuit filed by the New York Times,
with its lawyers arguing that “normal people do not use OpenAI’s products in this way.”)

The implications of the latest findings could be substantial
as copyright lawsuits play out in courts across the country.

As The Atlantic‘s Alex Reisner points out,
the results further undermine the AI industry’s argument that LLMs “learn” from these texts
-- instead of storing information and recalling it later.

It’s evidence that “may be a massive legal liability for AI companies”
and “potentially cost the industry billions of dollars in copyright-infringement judgments

futurism.com/artificial-intell

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美國的憲法第四及第五修正案就是為了保障所有人的隱私權──即使他/她犯了極度令人髮指的罪行。

不過,我們今天對隱私權已經有不同的想法了:我們很樂意在社群媒體上分享內心的祕密、信念、希望和情緒,給任何一個認識的人,甚至常常是陌生人。

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I'm deleting my bluesky account as several of the (very famous, well known) people I love to follow have all collaborated to block me after I asked someone to please put the link for the youtube video they were discussing. If you'd like to follow my new account on bluesky, send me a message.

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