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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펌) ‼️내란은 끝나지 않았다! 12.3 계엄 1년, 국회로 모이자!‼️ 내란수괴 윤석열의 구속기간이 내년 1월 18일이면 만료됩니다. 이미 한 차례 내란수괴 윤석열의 구속 취소 결정을 단행한 지귀연 재판부가 의도적으로 재판을 지연시켜 다시 내란수괴가 거리를 활보하도록 하게 하려는 것은 아닌지 국민적 우려가 커지고 있습니다. 내란공범 한덕수는 최후변론에서 계엄을 막지는 못했지만 찬성하거나 도우려 한 일은 결단코 없다고 했습니다.

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The next dominoes in the AI bubble that I expect to fall (if you’d excuse the mixed metaphor):

  1. Insurance companies explicitly exclude coverage of any system using AI and any outputs of AI systems.
  2. Lawyers in big companies issue advice that using AI systems is too high risk.
  3. Big companies demand IT suppliers provide an enterprise-management system switch to disable all AI functionality in products, or provide an AI-free version.

The first is starting. A consortium of insurance companies has asked their regulator to approve this blanket exclusion. Their argument is that the risks of these systems are too unpredictable to be able to insure. They can’t reason about systemic or correlated risk if you add a bullshit generator anywhere in an operational flow.

The second has happened in a few places, but is not widespread. Some places are hedging. When I was at MS, the AI policy was basically: ‘look, we give you all of these shiny toys! Please use them! By the way, you accept all legal liability for their output! Have fun!’. One ruling that this kind of passing-the-blame-to-employees-for-correctly-using-company-provided-tools policy is unenforceable and the lawyers will get very nervous.

The third is a consequence of the first two. If your lawyers tell you something is high risk and you can’t buy insurance, you want to make sure it isn’t used.

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“지방 공고여서 보도가 망설여진다…. 기자님, 우리 학교 핵심 문제는 바로 그겁니다. 인문계나 외고, 자사고였다면 벌써 사람들의 관심을 받고 문제가 해결됐을 겁니다. 공고여서 수년째 문제가 이어지는 거고, ‘꼴통 학교‘라는 차별 때문에 관심이 없는 겁니다.” www.neosherlock.com/archives/36807

"학교 쫌 살려주이소!" 기자 붙들던 공고 교사의 약속...

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27일 마이데일리 취재 결과 2025 마마 어워즈는 현재 홍콩에 발생한 대형 화재로 인해 현지서 회의를 거듭, 취소가 아닌 진행으로 가닥을 잡았다. 다만 본래 톤보다 많이 다운시켜 엄숙한 분위기에서 치르겠다는 입장이다. www.mydaily.co.kr/page/view/20...

[단독]2025 마마 어워즈, 그대로 진행 수순&hel...

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모 사건 관련으로 인터넷에 "증명" 열풍이 며칠새 불고 있는데 저는 여러분들이 물타기에 언제 타고 언제 안 타도 되는지에 대한 판단력을 기르셨으면 좋겠습니다. 지금 당장에 내가 이러이러하다~ 라는걸 증명하면 박수갈채 받겠지만
이러한 물타기에 너무 편승하다보면 자신을 잃어버리게 됩니다.

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Sorry if this is really obvious to you all, but after my rant and reading the verge article that discusses thinking vs. Language and how that limits LLMs, as a non user of these, I had a bit of an epithany, a very small one, mind.

LLMs are, basically, large corpuses of text you can query, right? As an old person, this sounds like a search engine, but they seem, from what I hear, really bad at reliable retrieval.

People often claim that these models can somehow "synthesize" stuff. (1/n)

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