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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is running a 2-day Industrial Short Course : Generative AI Algorithms on March 5-6, 2026.

The short course is aimed at people from industry or government who want to get started in deep learning, apply deep learning to their projects, learn how to code deep learning algorithms, and upgrade their skills to the latest AI algorithms, including generative AI. The course will be taught be Professor Xavier Bresson form the Department of Computer Science at the National University of Singapore (NUS).


The course will be limited to 25 participants. The fee for this course is $2,500 for participants who register before February 1, 2026. It will be $2,800 after February 1, 2026. We encourage everyone to register early, as we expect that this course might be booked out.

More information about this course can be found at:

ipam.ucla.edu/programs/special

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ใ€Œ2025ๅนดๅ›ž้กงใ€ใ€ŒAIๆคœ็ดขใฏๅ„ช่ถŠ็š„ๅœฐไฝใฎๆฟซ็”จ๏ผŸใ€ใ€ŒSora 2ใ‚ˆใ‚Šใƒคใƒใ‚ค๏ผŸ X๏ผˆๆ—งTwitter๏ผ‰ใฎใ€Ž็”ปๅƒใ‚’็ทจ้›†ใ€ๆฉŸ่ƒฝใ€ใชใฉใ€้€ฑๅˆŠๅ‡บ็‰ˆใƒ‹ใƒฅใƒผใ‚นใพใจใ‚๏ผ†ใ‚ณใƒฉใƒ  #696๏ผˆ2025ๅนด12ๆœˆ21ๆ—ฅ๏ฝž2026ๅนด1ๆœˆ3ๆ—ฅ๏ผ‰ https://hon.jp/news/1.0/0/58050

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Forgot to note it back before the holidays, but the esq.social Mastodon instancejust had its third birthday. ๐ŸŽ‰

In that time, the instance has processed 597 million messages.

I'm responsible for, like, half at most.

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ใƒ™ใƒใ‚บใ‚จใƒฉใซ้–ขๅฟƒใ‚‚็Ÿฅ่ญ˜ใ‚‚ใชใ„ไบบใŸใกใŒใ€Œใƒ™ใƒใ‚บใ‚จใƒฉไบบใฏๅ–œใ‚“ใงใ„ใ‚‹๏ผใ€ใจใ‚„ใ‚‹ใฎใฏใŠๆฑบใพใ‚Šใ ใŒใ€ๆœ€่ฟ‘ใฏใ€Œใƒ™ใƒใ‚บใ‚จใƒฉไบบใฏๅ–œใ‚“ใงใ„ใ‚‹๏ผAIใ‚‚ใใ†่จ€ใฃใฆใ‚‹ใž๏ผใ€ใจใ„ใ†ใ€ใ‚ˆใ‚Šๆ„šใ‹ใชใƒ‘ใ‚ฟใƒผใƒณใ‚‚ใ‚ใ‚‹ใฎใ ใชโ€ฆโ€ฆใ€‚

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ใƒˆใƒฉใƒณใƒ—ใซใ‚ˆใ‚‹ใƒ™ใƒใ‚บใ‚จใƒฉใฎๆ”ปๆ’ƒใจๅคง็ตฑ้ ˜ๅคซๅฆปใฎๆ‹‰่‡ดใ€‚ใ€Œๅ›ฝ้š›ๆณ•ใ‚ˆใ‚Šใ‚‚ๅ›ฝ็›Šใ‚’้‡่ฆ–ใ€ใจใ„ใฃใŸ่ฆ‹ๅ‡บใ—ใงๅ ฑ้“ใ•ใ‚Œใฆใ„ใ‚‹ใ“ใจใ‚‚ๅคšใ„ใ‘ใ‚Œใฉใ€ใฉใกใ‚‰ใ‹ใจ่จ€ใˆใฐใ‚ขใƒกใƒชใ‚ซใซใจใฃใฆใฎใ€Œๅ›ฝ็›Šใ€ใฎๅ†…ๅฎŸใŒๅค‰ๅŒ–ใ—ใŸใจ่จ€ใ†ในใใชใฎใงใฏใ€‚
ๅ†ทๆˆฆๅพŒใ€ๆ›ฒใŒใ‚Šใชใ‚Šใซใ‚‚่‡ช็”ฑไธป็พฉ๏ผˆใƒชใƒ™ใƒฉใƒชใ‚บใƒ ๏ผ‰ใฎไพกๅ€ค่ฆณใ‚’่ณ‡ๆœฌไธป็พฉ็š„ใช่‡ช็”ฑ็ตŒๆธˆ็งฉๅบใจใ‚ปใƒƒใƒˆใซใ—ใฆๅ›ฝ้š›็คพไผšใซๆ‹กๅคงใ—ใ€ใใ†ใ—ใฆ็ฏ‰ใไธŠใ’ใŸๅ›ฝ้š›็งฉๅบใฎ็›Ÿไธปใงใ‚ใ‚‹ใ“ใจใŒใ‚ขใƒกใƒชใ‚ซใฎใ€Œๅ›ฝ็›Šใ€ใ ใฃใŸใ—ใ€ใ‚ขใƒ•ใ‚ฌใƒณใ‚„ใ‚คใƒฉใƒณใธใฎไพตๆ”ปใ‚„ๆ”ฏ้…ใ‚‚ใ€ใใ†ใ—ใŸๅปบใฆๅ‰ใฎใ‚‚ใจใงใชใ•ใ‚Œใฆใ„ใŸใ€‚
ใใ‚Œใซๅฏพใ—ใฆใ€ใใ†ใ—ใฆใ‚ขใƒกใƒชใ‚ซใŒ่‡ชๅ›ฝใฎๅˆฉ็›ŠใฎใŸใ‚ใซไฝœใ‚ŠไธŠใ’ใŸๅ›ฝ้š›็งฉๅบใฏใ€ใ‚€ใ—ใ‚ใ‚ขใƒกใƒชใ‚ซใ‚’ๅผฑใ‚‰ใ›ใฆใ„ใ‚‹ใจไธปๅผตใ—ใฆใ€ใƒˆใƒฉใƒณใƒ—ใฏๅคง็ตฑ้ ˜ใซใชใฃใŸใ€‚MAGAๆดพใฎๅคšใใฏๅ›ฝๅขƒใ‚’ใพใŸใ„ใ ่ปไบ‹ไพตๆ”ปใ‚’ๆ”ฏๆŒใ—ใชใ„ใจใ•ใ‚Œใฆใ„ใŸใŒใ€็ตๅฑ€ใฏ่ฅฟๅŠ็ƒใ‚’ๅธๅ›ฝไธป็พฉ็š„ใซๆ‰‹ไธญใซๅŽใ‚ใ€็Ÿณๆฒนใฎๅˆฉๆจฉใ‚’ๅพ—ใ‚‹ใจใ„ใ†ใ‚€ใๅ‡บใ—ใฎใ€Œๅˆฉ็›Šใ€ใ‚’้š ใ—ใ‚‚ใ›ใšใ€ใƒˆใƒฉใƒณใƒ—ใฏใƒ™ใƒใ‚บใ‚จใƒฉใซ่ปไบ‹ๆ”ปๆ’ƒใ‚’ใ—ใŸใ€‚ใ‚ขใƒกใƒชใ‚ซใฏใšใฃใจ่‡ชๅ›ฝใฎใ€Œๅ›ฝ็›Šใ€ใฎใ“ใจใ—ใ‹่€ƒใˆใฆใ„ใชใ„ใ—ใ€็„ก่ฒฌไปปใชๆšดๅŠ›ใฎ่กŒไฝฟใซใ‚ˆใฃใฆใ€ไธ–็•Œใซๆˆฆไบ‰ใจๆททไนฑใ‚’ๅผ•ใ่ตทใ“ใ—็ถšใ‘ใฆใ„ใ‚‹ใ€‚

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I wrote Zig bindings to quickjs-ng with 96% API coverage (~240 exported C decls) with unit tests, examples, and doc strings on all functions in less than 6 total hours with AI assistance. I never want to hear that AI isn't faster ever again. github.com/mitchellh/zig-quick

This isn't slop. I worked for those 6 hours.

I was reviewing everything it outputted, updating my AGENTS.md to course correct future work, ensuring the output was idiomatic Zig, writing my own tests on the side to verify its work (while it worked), and more. My work was split across ~40 separate Amp threads (not one mega session, which doesn't work anyways unless you're orchestrating).

I have a ton of experience writing bindings to libraries for various languages, especially Zig. I have never achieved this much coverage in so little time with such high quality (e.g. test coverage). My usual approach is to get bind just-enough of the surface area to do my actual work and move on. This time I thought I'd draw the whole owl, because it's a new world. And I'm very happy with the result.

Anyone with experience writing bindings knows that you do some small surface area, then the rest of the coverage is annoying repetition. That's why I usually stopped. Well, LLMs/agents are really, really good at annoying repetition and pattern matching. So going from 5% API coverage to 95% is... cake.

There is probably some corners that are kind of nasty still, but I've been re-reviewing every line of code manually and there is nothing major. Definitely some areas that can just use a nicer Zig interfaces over the C API, but that's about it.

I plan on writing a longer form blog showcasing my threads, but you can at least see the final AGENTS.md I produced in the linked repo.

github.com/mitchellh/zig-quick

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I wrote Zig bindings to quickjs-ng with 96% API coverage (~240 exported C decls) with unit tests, examples, and doc strings on all functions in less than 6 total hours with AI assistance. I never want to hear that AI isn't faster ever again. github.com/mitchellh/zig-quick

This isn't slop. I worked for those 6 hours.

I was reviewing everything it outputted, updating my AGENTS.md to course correct future work, ensuring the output was idiomatic Zig, writing my own tests on the side to verify its work (while it worked), and more. My work was split across ~40 separate Amp threads (not one mega session, which doesn't work anyways unless you're orchestrating).

I have a ton of experience writing bindings to libraries for various languages, especially Zig. I have never achieved this much coverage in so little time with such high quality (e.g. test coverage). My usual approach is to get bind just-enough of the surface area to do my actual work and move on. This time I thought I'd draw the whole owl, because it's a new world. And I'm very happy with the result.

Anyone with experience writing bindings knows that you do some small surface area, then the rest of the coverage is annoying repetition. That's why I usually stopped. Well, LLMs/agents are really, really good at annoying repetition and pattern matching. So going from 5% API coverage to 95% is... cake.

There is probably some corners that are kind of nasty still, but I've been re-reviewing every line of code manually and there is nothing major. Definitely some areas that can just use a nicer Zig interfaces over the C API, but that's about it.

I plan on writing a longer form blog showcasing my threads, but you can at least see the final AGENTS.md I produced in the linked repo.

github.com/mitchellh/zig-quick

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During the holidays I've been doing Duolingo since I don't have graduate school reading and homework to do.

I've been competing with a stranger in the league system they have. We were running neck and neck for 1st and 2nd place, about 2000 points ahead of the next player. We've traded the top spot 3 or 4 times over the last 48 hours.

She must have spent hours studying today, because she's now 1000 points ahead of me. Gotta respect the hustle.

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I wrote Zig bindings to quickjs-ng with 96% API coverage (~240 exported C decls) with unit tests, examples, and doc strings on all functions in less than 6 total hours with AI assistance. I never want to hear that AI isn't faster ever again. github.com/mitchellh/zig-quick

This isn't slop. I worked for those 6 hours.

I was reviewing everything it outputted, updating my AGENTS.md to course correct future work, ensuring the output was idiomatic Zig, writing my own tests on the side to verify its work (while it worked), and more. My work was split across ~40 separate Amp threads (not one mega session, which doesn't work anyways unless you're orchestrating).

I have a ton of experience writing bindings to libraries for various languages, especially Zig. I have never achieved this much coverage in so little time with such high quality (e.g. test coverage). My usual approach is to get bind just-enough of the surface area to do my actual work and move on. This time I thought I'd draw the whole owl, because it's a new world. And I'm very happy with the result.

Anyone with experience writing bindings knows that you do some small surface area, then the rest of the coverage is annoying repetition. That's why I usually stopped. Well, LLMs/agents are really, really good at annoying repetition and pattern matching. So going from 5% API coverage to 95% is... cake.

There is probably some corners that are kind of nasty still, but I've been re-reviewing every line of code manually and there is nothing major. Definitely some areas that can just use a nicer Zig interfaces over the C API, but that's about it.

I plan on writing a longer form blog showcasing my threads, but you can at least see the final AGENTS.md I produced in the linked repo.

github.com/mitchellh/zig-quick

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ํƒ€์ž์ˆ˜๋กœ ์ทจ์—…ํ•˜์‹  ์•„์ฃผ๋จธ๋‹˜์€ ์•  ์…‹์„ ๋‚ณ๊ณ  ์šฉ์ ‘๊ณต ๋ณด์กฐ๋ฅผ์‹œ๋‹ค ๋‹ค๋‹ˆ์‹œ๋‹ค ํ•œ์ง„์ด ์ˆ˜๋น…์œผ๋กœ ์˜ฎ๊ธฐ๋ฉด์„œ ๋Œ€๋Ÿ‰์‹ค์ง์— ๋†“์œผ์…”์„œ ๊ฑฐ์ œ๋ฅผ ๊ฐ”๋Š”๋ฐ ์ค‘๊ฐ„์— ๊ฐ‘์ƒ์„  ์•”์ด ๋ฐœ๋ณ‘ํ•˜์—ฌ ํŒŒ์ถœ์ผ์„ ๊ฐ„๊ฐ„ํžˆ ํ•˜๋ฉด์„œ ์น˜๋ฃŒ์ค‘์ด์‹œ๊ณ 
์ „ํ™”๊ตํ™˜์›์„ ํ•˜์‹œ๋˜ ๋ชฉ์†Œ๋ฆฌ ์ข‹์œผ์‹œ๋˜ ์•„์ฃผ๋จธ๋‹˜์€ ์ค‘๋™ ๊ฑด์„คํ˜„์žฅ์— ๋‚˜๊ฐ€๋Š” ๋‚จ์ž์™€ ์†๋„ ์œ„๋ฐ˜์„ ํ•ด์„œ ํ™˜์Šน์ง€(๊ดŒ)์—์„œ ์ฒซ ์• ๋ฅผ ๋‚ณ๊ณ  ๊ฑด์„ค ํ˜„์žฅ ๋‚˜๊ฐ€๋Š” ๋‚จํŽธ์„ ํ•œ๊ตญ์—์„œ ๊ธฐ๋‹ค๋ฆฌ๋‹ค ๊ฒฐํ˜ผ, ๋‚จํŽธ์€ ์ด๋Ÿฐ ์ €๋Ÿฐ ์ผ ํ•˜๋‹ค ๋งˆ์ง€๋ง‰์— ํƒ์‹œ ์šด์ „, ์•„์ฃผ๋จธ๋‹˜์€ ์ „ํ™”๊ตํ™˜์›์ด ์‚ฌ๋ผ์ง€๋Š” ํ†ต์— ์—ฌ๋Ÿฌ ์ง์ข…์˜ ์™ธํŒ์›์„ ํ•˜์‹œ๋‹ค ํฐ ์•„๋“ค(๋ฏธ๊ตญ ๊ตญ์ )์ด ๋ฏธ๊ตญ์—์„œ ๊ฒฐํ˜ผํ•˜์‹œ๋Š” ๊ฑธ ๋ณด๊ณ  ์€ํ‡ด.
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I wrote Zig bindings to quickjs-ng with 96% API coverage (~240 exported C decls) with unit tests, examples, and doc strings on all functions in less than 6 total hours with AI assistance. I never want to hear that AI isn't faster ever again. github.com/mitchellh/zig-quick

This isn't slop. I worked for those 6 hours.

I was reviewing everything it outputted, updating my AGENTS.md to course correct future work, ensuring the output was idiomatic Zig, writing my own tests on the side to verify its work (while it worked), and more. My work was split across ~40 separate Amp threads (not one mega session, which doesn't work anyways unless you're orchestrating).

I have a ton of experience writing bindings to libraries for various languages, especially Zig. I have never achieved this much coverage in so little time with such high quality (e.g. test coverage). My usual approach is to get bind just-enough of the surface area to do my actual work and move on. This time I thought I'd draw the whole owl, because it's a new world. And I'm very happy with the result.

Anyone with experience writing bindings knows that you do some small surface area, then the rest of the coverage is annoying repetition. That's why I usually stopped. Well, LLMs/agents are really, really good at annoying repetition and pattern matching. So going from 5% API coverage to 95% is... cake.

There is probably some corners that are kind of nasty still, but I've been re-reviewing every line of code manually and there is nothing major. Definitely some areas that can just use a nicer Zig interfaces over the C API, but that's about it.

I plan on writing a longer form blog showcasing my threads, but you can at least see the final AGENTS.md I produced in the linked repo.

github.com/mitchellh/zig-quick

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ใ€€ๅฎŒๅ…จใซๆ‚ชใฎ็ต„็น”ใ ใ‚ใ†ใ€‚ใ‚‚ใฏใ‚„ๅ†—่ซ‡ใงใฏๆธˆใพใ•ใ‚ŒใชใใชใฃใŸใ€‚ใ‚ขใƒกใƒชใ‚ซใฎใŠๆฐ—ๆŒใกใฒใจใคใง็‰นๆฎŠ้ƒจ้šŠใŒ่ฅฒๆ’ƒใ—ใฆใใ‚‹ใžใ€‚

๏ผž3ๆ—ฅใ€็ฑณๅ›ฝใŒใƒ™ใƒใ‚บใ‚จใƒฉใ‚’ๆ”ปๆ’ƒใ—ใŸๅพŒใ€ๅœฐๅ›ณไธŠใฎใ‚ฐใƒชใƒผใƒณใƒฉใƒณใƒ‰ใ‚’ๆ˜Ÿๆกๆ——ใฎๆŸ„ใซ่‰ฒใฅใ‘ใ—ใ€ใ€Œใ‚‚ใ†ใ™ใใ€ใจใฎๆ–‡่จ€ใ‚’ๆทปใˆใŸ็”ปๅƒใ‚’X๏ผˆๆ—งใƒ„ใ‚คใƒƒใ‚ฟใƒผ๏ผ‰ใซๆŠ•็จฟใ—ใŸใ€‚

็ฑณ้ซ˜ๅฎ˜ใฎๅฆปใ€ใ‚ฐใƒชใƒผใƒณใƒฉใƒณใƒ‰ใซๆ˜Ÿๆกๆ——ใฎ่‰ฒใคใ‘ๆŠ•็จฟใ€€็พๅœฐๅ็™บใ€Œ็„ก็คผใ€
digital.asahi.com/articles/ASV

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ใ€Žใ€Œใƒˆใƒฉใƒณใƒ—ใฏ็ฑณๅ›ฝใŒใƒ™ใƒใ‚บใ‚จใƒฉใ‚’้‹ๅ–ถใ™ใ‚‹ใจ่จ€ใฃใŸใ€‚ใฉใ‚“ใชๆณ•็š„ๆจฉ้™ใซๅŸบใฅใ„ใฆ๏ผŸใ€

ใƒซใƒ“ใ‚ชๅ›ฝๅ‹™้•ทๅฎ˜ใ€Œๆˆ‘ใ€…ใฏใƒ™ใƒใ‚บใ‚จใƒฉใฎไบบใ€…ใซใ‚ˆใ‚Š่‰ฏใ„ๆœชๆฅใ‚’ๆœ›ใ‚“ใงใ„ใ‚‹ใ€

ใ€Œใ‚‚ใ†ไธ€ๅบฆๅฐ‹ใญใ‚‹ใ€‚ๆณ•็š„ๆจฉ้™ใฏไฝ•๏ผŸใ€

ใƒซใƒ“ใ‚ชใ€Œ็งใŸใกใฏ่ฃๅˆคๆ‰€ใฎๅ‘ฝไปคใ‚’ๆŒใฃใฆใ„ใพใ™ใ€ใ€

ใฉใ‚“ใช่ฃๅˆคๆ‰€ใŒใ€Œๆคๆฐ‘ๅœฐๆ”ฏ้…ใ€ใ‚’ๅ‘ฝไปคใ™ใ‚‹ใ‚“ใ ๏ผŸ

x.com/atrupar/status/200784959

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์„์œ  ํšŒ์‚ฌ ๊ธฐ์—…๋“ค์˜ ์ด๋“์„ ์œ„ํ•œ ์œ ํ˜ˆ ์‚ฌํƒœ๋ผ๊ณ  ๋ณด๋Š”๊ฒƒ์ด ์ข€๋” ๋งž๋Š”๊ฒƒ ๊ฐ™๊ณ ์š” ๊ทผ๋ฐ ์„์œ  ํšŒ์‚ฌ๋“ค ์ด๋“์„ ์™œ ์ž˜ ์ฑ™๊ฒจ์ฃผ๋ƒ๋ฉด ์—ฌ๋Ÿฌ๋ฒˆ ์ ์—ˆ๋‹ค์‹œํ”ผ ๋‹ฌ๋Ÿฌ์˜ ๊ฐ€์น˜ ์œ ์ง€์™€ ์—ฐ๊ด€์ด ๋˜์–ด์žˆ๊ณ ... ๊ทธ์™ธ์—๋„ ์„์œ ์™ธ์—๋„ ํฌํ† ๋ฅ˜์™€ ๊ธˆ์† ์ž์›๋“ค์„ ๋ฏธ๊ตญ๊ณผ ๊ด€๋ จ ํšŒ์‚ฌ๋“ค์ด ์ปจํŠธ๋กคํ•˜๊ณ  ์‹ถ์œผ๋‹ˆ๊นŒ ๊ทธ๋Ÿฐ๊ฒƒ์ž…์ฃ  ๊ทธ๋ฆฌ๊ณ  ๋ฒ ๋„ค์ฃผ์—˜๋ผ๊ฐ€ ๋Ÿฌ์‹œ์•„ ๋ฌด๊ธฐ๋กœ ๋ฌด์žฅํ•˜๊ณ  (๊ณผ๊ฑฐ ์ฟ ๋ฐ”์ฒ˜๋Ÿผ) ๋Ÿฌ์‹œ์•„ ํ…ƒ๋ฐญ์ด ๋˜๊ฐ€๋‹ˆ๊นŒ ์ด๊ฑธ ๋ด์ค„์ˆ˜ ์—†์—ˆ๋‹ค๋Š” ์ด์•ผ๊ธฐ๋„ ์žˆ๋”๋ผ๊ณ ์š” ์—ฌ๋Ÿฌ๊ฐ€์ง€๊ฐ€ ๊ฒน์นœ๊ฒƒ ํ—ˆํ—ˆ...

RE: https://bsky.app/profile/did:plc:7reki7xuobtaq6iuqquznqby/post/3mblldrhzuc2o

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I wrote Zig bindings to quickjs-ng with 96% API coverage (~240 exported C decls) with unit tests, examples, and doc strings on all functions in less than 6 total hours with AI assistance. I never want to hear that AI isn't faster ever again. github.com/mitchellh/zig-quick

This isn't slop. I worked for those 6 hours.

I was reviewing everything it outputted, updating my AGENTS.md to course correct future work, ensuring the output was idiomatic Zig, writing my own tests on the side to verify its work (while it worked), and more. My work was split across ~40 separate Amp threads (not one mega session, which doesn't work anyways unless you're orchestrating).

I have a ton of experience writing bindings to libraries for various languages, especially Zig. I have never achieved this much coverage in so little time with such high quality (e.g. test coverage). My usual approach is to get bind just-enough of the surface area to do my actual work and move on. This time I thought I'd draw the whole owl, because it's a new world. And I'm very happy with the result.

Anyone with experience writing bindings knows that you do some small surface area, then the rest of the coverage is annoying repetition. That's why I usually stopped. Well, LLMs/agents are really, really good at annoying repetition and pattern matching. So going from 5% API coverage to 95% is... cake.

There is probably some corners that are kind of nasty still, but I've been re-reviewing every line of code manually and there is nothing major. Definitely some areas that can just use a nicer Zig interfaces over the C API, but that's about it.

I plan on writing a longer form blog showcasing my threads, but you can at least see the final AGENTS.md I produced in the linked repo.

github.com/mitchellh/zig-quick

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7๋งŒ์—ฌ ๋ช… ์ˆจ์ง„ ๋•…, ๊ตฌํ˜ธ๋„ ๋ง‰์€ ์ด์Šค๋ผ์—˜ h21.hani.co.kr/arti/world/w... "์™ธ๊ตญ ๊ฑฐ์ฃผ ์œ ๋Œ€์ธ ์ง€์›๊ณผ ๋ฐ˜์œ ๋Œ€์ฃผ์˜ ๋Œ€์‘ ์—…๋ฌด๋ฅผ ์ด๊ด„ํ•˜๋Š” ์ด์Šค๋ผ์—˜ ๋””์•„์Šคํฌ๋ผ๋ถ€๋Š” 2025๋…„ 12์›”30์ผ ์ž๋ฃŒ๋ฅผ ๋‚ด์–ด โ€œ๊ฐ€์ž์ง€๊ตฌ์—์„œ ํ™œ๋™ํ•˜๋Š” 37๊ฐœ ๋น„์ •๋ถ€๊ธฐ๊ตฌ(NGO)๊ฐ€ ๊ฐ•ํ™”๋œ ๋“ฑ๋ก ์š”๊ฑด์„ ์ถฉ์กฑํ•˜์ง€ ๋ชปํ–ˆ๋‹คโ€๋ฉฐ โ€œ1์›”1์ผ๋ถ€ํ„ฐ ์ด๋“ค ๋‹จ์ฒด๋Š” ๊ฐ€์ž์ง€๊ตฌ์—์„œ ํ™œ๋™์„ ์ค‘๋‹จํ•ด์•ผ ํ•œ๋‹คโ€๊ณ  ๋ฐํ˜”๋‹ค. ์•ก์…˜์—์ด๋“œยท๊ตญ์ œ๊ตฌ์กฐ์œ„์›ํšŒยท๊ตญ๊ฒฝ์—†๋Š”์˜์‚ฌํšŒ ๋“ฑ ์ง€๊ตฌ์ดŒ์„ ๋Œ€ํ‘œํ•˜๋Š” ๊ตฌํ˜ธ๋‹จ์ฒด ์ƒ๋‹น์ˆ˜๊ฐ€ ํ™œ๋™ ์ค‘๋‹จ ๋Œ€์ƒ์— ํฌํ•จ๋๋‹ค."

7๋งŒ์—ฌ ๋ช… ์ˆจ์ง„ ๋•…, ๊ตฌํ˜ธ๋„ ๋ง‰์€ ์ด์Šค๋ผ์—˜

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"์–ด์ฉ” ์ˆ˜ ์—†๋‹ค"๋Š” ๋ง์€ ๋ˆ„๊ตฐ๊ฐ€์—๊ฒ ํ•œ์—†์ด ์ž”์ธํ•œ ๋ง์ด๋ผ๋Š” ์ƒ๊ฐ์ด ๋“ญ๋‹ˆ๋‹ค.
ใ€Œใฉใ†ใ—ใ‚ˆใ†ใ‚‚ใชใ„ใ€ใจใ„ใ†่จ€่‘‰ใฏใ€่ชฐใ‹ใซใจใฃใฆใฏ้™ใ‚Šใชใๆฎ‹้…ทใช่จ€่‘‰ใ ใจๆ„Ÿใ˜ใพใ™ใ€‚
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์ฟ ํŒก ๋ฌผ๋ฅ˜์„ผํ„ฐ, ๋ฐฉํ•œ๋ณต ์—†๋Š”๋ฐ ๋ƒ‰๋™์ฐฝ๊ณ  '๊ทผ๋ฌด ์ง€์‹œ' n.news.naver.com/article/437/... ๋ฐฉํ•œ ๋ฌผํ’ˆ ๋Œ€์—ฌ ์ฐฝ๊ตฌ๊ฐ€ ์ด๋ฏธ ์šด์˜์„ ๋งˆ์นœ ์‹œ๊ฐ„๋Œ€์˜€๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์„ผํ„ฐ ์ธก์ด ์ง€๊ธ‰ํ•ด์ค€ ๊ฑด ํ•ซํŒฉ 3๊ฐœ๋ฟ์ด์—ˆ์Šต๋‹ˆ๋‹ค. ์ฟ ํŒก ์ธก์€ "์•ˆ์ „ ๊ต์œก์„ ์‹ค์‹œํ–ˆ๋‹ค"๋Š” ์ž…์žฅ์ž…๋‹ˆ๋‹ค.

[๋‹จ๋…] ์ฟ ํŒก ๋ฌผ๋ฅ˜์„ผํ„ฐ, ๋ฐฉํ•œ๋ณต ์—†๋Š”๋ฐ ๋ƒ‰๋™์ฐฝ๊ณ  '๊ทผ๋ฌด...

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