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RE: social.coop/@cwebber/116205343

Oh no, again? Who could have seen it coming?!

Narrator: anyone could have seen it coming.

Also, this is a new thing, not the old thing reported on a few weeks ago:
theguardian.com/technology/202

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New, by me: How AI Assistants are Moving the Security Goalposts

AI-based assistants or โ€œagentsโ€ โ€” autonomous programs that have access to the userโ€™s computer, files, online services and can automate virtually any task โ€” are growing in popularity with developers and IT workers. But as so many eyebrow-raising headlines over the past few weeks have shown, these powerful and assertive new tools are rapidly shifting the security priorities for organizations, while blurring the lines between data and code, trusted co-worker and insider threat, ninja hacker and novice code jockey.

Read more (and boost please!):

krebsonsecurity.com/2026/03/ho

a graphic and concept called the "lethal trifectaโ€ by Simon Willison, co-creator of the Django Web framework. The lethal trifecta holds that if your system has access to private data, exposure to untrusted content, and a way to communicate externally, then itโ€™s vulnerable to private data being stolen.This image shows three boxes of different colors: access to data, ability to externally communicate, and exposure to untrusted content.
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RE: mastodon.social/@arstechnica/1

...in which Amazon tell us that outages were caused by unreviewed AI code...

oh yeah somebody said something about there being no doubt about productivity gains because 'they see them everyday'?

Well ok I'll accept your still anecdotal evidence but I would like to debit hours from those x1 engineers productivity gains and raise a credit for hours lost by every person affected by these outages.

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โ‰๏ธโ€ is holding a mandatory meeting about๐ŸšจAI BREAKING ITS SYSTEMS. The official framing is "part of normal business." The briefing note describes a trend of๐Ÿšจincidents with "high blast radius" caused by "Gen-AI assisted changes" for which "best practices and safeguards are not yet fully established."

We gave AI to engineers & things keep breaking? The response for now?๐ŸšจJunior & mid-level engineers can no longer push AI-assisted code w/o a senior signing offโ€ฆโ€
-L Olejnik

An excerpt from a tweet by Lukasz Olejnik discussing Amazon's internal meeting about AI issues affecting its systems. The tweet highlights incidents caused by AI-assisted changes, the need for senior approval on code submissions, and a significant recovery effort after a problemThe image contains a text excerpt discussing Amazon's ecommerce sector, highlighting a meeting convened to analyze recent service outages linked to AI coding tools. It mentions a trend of incidents and contributing factors related to Gen-AI assistance.The image features a text excerpt discussing corporate policies regarding AI-assisted changes at Amazon. It mentions that junior and mid-level engineers will need senior approval for such changes and describes the review of website availability as part of normal business and continuous improvement efforts.
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๐Ÿ• 2026-03-10 12:00 UTC

๐Ÿ“ฐ ใƒ‡ใƒใƒƒใ‚ฐใฏใ‚‚ใ†ไบบ้–“ใฎไป•ไบ‹ใงใฏใชใใชใฃใŸ (๐Ÿ‘ 50)

๐Ÿ‡ฌ๐Ÿ‡ง AI agents now handle all debuggingโ€”prod issues, infra bugsโ€”by accessing databases/logs directly. Multi-agent teams verify hypotheses in parallel.
๐Ÿ‡ฐ๐Ÿ‡ท AI ์—์ด์ „ํŠธ๊ฐ€ DB/๋กœ๊ทธ ์ง์ ‘ ์ ‘๊ทผํ•˜์—ฌ ๋ชจ๋“  ๋””๋ฒ„๊น… ์ฒ˜๋ฆฌ. ๋ฉ€ํ‹ฐ ์—์ด์ „ํŠธ ํŒ€์ด ๋ณ‘๋ ฌ๋กœ ๊ฐ€์„ค ๊ฒ€์ฆ.

๐Ÿ”— zenn.dev/dinii/articles/debugg

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๐Ÿ• 2026-03-10 06:00 UTC

๐Ÿ“ฐ ่‡ชๅˆ†ใฎ็ตๅฉšๅผใงใƒ•ใ‚ฉใƒˆใ‚ณใƒณใƒ†ใ‚นใƒˆLINEใ‚ขใƒ—ใƒชใ‚’้–‹็™บใ—ใฆใ‚ปใƒซใƒ•ไฝ™่ˆˆใ‚’ใ—ใŸ่ฉฑ & ็ตๆžœๅ ฑๅ‘Š (๐Ÿ‘ 90)

๐Ÿ‡ฌ๐Ÿ‡ง Built a LINE app for their wedding reception to run a photo contest, with Go/GCP architecture and technical insights
๐Ÿ‡ฐ๐Ÿ‡ท ์ž์‹ ์˜ ๊ฒฐํ˜ผ์‹์„ ์œ„ํ•ด ์‚ฌ์ง„ ๊ณต๋ชจ์ „ LINE ์•ฑ์„ ๊ฐœ๋ฐœ, Go/GCP ๊ธฐ๋ฐ˜ ์‹œ์Šคํ…œ ๊ตฌ์„ฑ๊ณผ ๊ธฐ์ˆ ์  ๊ณ ๋ฏผ ๊ณต์œ 

๐Ÿ”— zenn.dev/hsaki/articles/photo-

๐Ÿ“ฐ ใƒ‡ใƒใƒƒใ‚ฐใฏใ‚‚ใ†ไบบ้–“ใฎไป•ไบ‹ใงใฏใชใใชใฃใŸ (๐Ÿ‘ 40)

๐Ÿ‡ฌ๐Ÿ‡ง AI now handles most debugging by accessing production DBs and logs; multiple agents verify hypotheses in parallel
๐Ÿ‡ฐ๐Ÿ‡ท AI๊ฐ€ ํ”„๋กœ๋•์…˜ DB์™€ ๋กœ๊ทธ์— ์ง์ ‘ ์ ‘๊ทผํ•˜์—ฌ ๋Œ€๋ถ€๋ถ„์˜ ๋””๋ฒ„๊น… ์ฒ˜๋ฆฌ; ์—ฌ๋Ÿฌ ์—์ด์ „ํŠธ๊ฐ€ ๋ณ‘๋ ฌ๋กœ ๊ฐ€์„ค ๊ฒ€์ฆ

๐Ÿ”— zenn.dev/dinii/articles/debugg

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๐Ÿ“ฐ ่‡ชๅˆ†ใฎ็ตๅฉšๅผใงใƒ•ใ‚ฉใƒˆใ‚ณใƒณใƒ†ใ‚นใƒˆLINEใ‚ขใƒ—ใƒชใ‚’้–‹็™บใ—ใฆใ‚ปใƒซใƒ•ไฝ™่ˆˆใ‚’ใ—ใŸ่ฉฑ & ็ตๆžœๅ ฑๅ‘Š (๐Ÿ‘ 74)

๐Ÿ‡ฌ๐Ÿ‡ง Built a LINE photo contest app for my own wedding. System architecture, tech highlights, and results from running it at the reception.
๐Ÿ‡ฐ๐Ÿ‡ท ์ž์‹ ์˜ ๊ฒฐํ˜ผ์‹์„ ์œ„ํ•ด LINE ์‚ฌ์ง„ ์ฝ˜ํ…Œ์ŠคํŠธ ์•ฑ ๊ฐœ๋ฐœ. ์‹œ์Šคํ…œ ๊ตฌ์กฐ, ๊ธฐ์ˆ ์  ํฌ์ธํŠธ ๋ฐ ํ”ผ๋กœ์—ฐ ์šด์˜ ๊ฒฐ๊ณผ ๊ณต์œ .

๐Ÿ”— zenn.dev/hsaki/articles/photo-

๐Ÿ“ฐ Claude Code / Codexใฎๅผฑ็‚นใ‚’่งฃๆฑบใ™ใ‚‹OSSใ€ŒGSDใ€ใฎ่จญ่จˆใŒ่‰ฏใ‹ใฃใŸ (๐Ÿ‘ 51)

๐Ÿ‡ฌ๐Ÿ‡ง GSD OSS solves Claude Code/Codex reliability issues. The problem isn't model abilityโ€”it's state management and planning architecture.
๐Ÿ‡ฐ๐Ÿ‡ท GSD OSS๊ฐ€ Claude Code/Codex์˜ ์‹ ๋ขฐ์„ฑ ๋ฌธ์ œ ํ•ด๊ฒฐ. ๋ฌธ์ œ๋Š” ๋ชจ๋ธ ๋Šฅ๋ ฅ์ด ์•„๋‹ˆ๋ผ ์ƒํƒœ ๊ด€๋ฆฌ์™€ ํ”Œ๋ž˜๋‹ ์•„ํ‚คํ…์ฒ˜.

๐Ÿ”— zenn.dev/komlock_lab/articles/

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๐Ÿ• 2026-03-10 00:00 UTC

๐Ÿ“ฐ ใพใ AIใ‚ณใƒผใƒ‰ใ‚’ใƒฌใƒ“ใƒฅใƒผใ™ใ‚‹ใ‹ใ€ใ—ใชใ„ใ‹ใง่จ€ใ„ไบ‰ใฃใฆใ‚‹ใฎ๏ผŸ (๐Ÿ‘ 403)

๐Ÿ‡ฌ๐Ÿ‡ง AI code debates are tired. Focus on improving dev processes to reduce reviews while maintaining quality, not arguing review yes/no.
๐Ÿ‡ฐ๐Ÿ‡ท AI ์ฝ”๋“œ ๋ฆฌ๋ทฐ ๋…ผ์Ÿ์€ ๋์—†๋‹ค. ๋ฆฌ๋ทฐ ์ฐฌ๋ฐ˜ ๋…ผ์Ÿ ๋Œ€์‹  ํ’ˆ์งˆ ์œ ์ง€ํ•˜๋ฉฐ ๋ฆฌ๋ทฐ ์ค„์ด๋Š” ๊ฐœ๋ฐœ ํ”„๋กœ์„ธ์Šค ๊ฐœ์„ ์— ์ง‘์ค‘ํ•˜๋ผ.

๐Ÿ”— zenn.dev/nuits_jp/articles/202

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๐Ÿš€ Stop the presses! We've finally cracked the code on making TED Talks even longer with Helios, the that generates endless video content in "real real-time" (because just one "real" wasn't enough). ๐ŸŽฅ๐Ÿ˜‚ Just what the world needed: infinite loops of discussing browser extensions and dark modes. ๐ŸŒŒ๐Ÿคฆโ€โ™‚๏ธ
alphaxiv.org/abs/2603.04379

Helios: Real Real-Time Long Video Generation Model

View recent discussion. Abstract: We introduce Helios, the first 14B video generation model that runs at 19.5 FPS on a single NVIDIA H100 GPU and supports minute-scale generation while matching the quality of a strong baseline. We make breakthroughs along three key dimensions: (1) robustness to long-video drifting without commonly used anti-drifting heuristics such as self-forcing, error-banks, or keyframe sampling; (2) real-time generation without standard acceleration techniques such as KV-cache, sparse/linear attention, or quantization; and (3) training without parallelism or sharding frameworks, enabling image-diffusion-scale batch sizes while fitting up to four 14B models within 80 GB of GPU memory. Specifically, Helios is a 14B autoregressive diffusion model with a unified input representation that natively supports T2V, I2V, and V2V tasks. To mitigate drifting in long-video generation, we characterize typical failure modes and propose simple yet effective training strategies that explicitly simulate drifting during training, while eliminating repetitive motion at its source. For efficiency, we heavily compress the historical and noisy context and reduce the number of sampling steps, yielding computational costs comparable to -- or lower than -- those of 1.3B video generative models. Moreover, we introduce infrastructure-level optimizations that accelerate both inference and training while reducing memory consumption. Extensive experiments demonstrate that Helios consistently outperforms prior methods on both short- and long-video generation. We plan to release the code, base model, and distilled model to support further development by the community.

www.alphaxiv.org ยท alphaXiv

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๐Ÿ“ฐ ่‡ชๅˆ†ใฎ็ตๅฉšๅผใงใƒ•ใ‚ฉใƒˆใ‚ณใƒณใƒ†ใ‚นใƒˆLINEใ‚ขใƒ—ใƒชใ‚’้–‹็™บใ—ใฆใ‚ปใƒซใƒ•ไฝ™่ˆˆใ‚’ใ—ใŸ่ฉฑ & ็ตๆžœๅ ฑๅ‘Š (๐Ÿ‘ 70)

๐Ÿ‡ฌ๐Ÿ‡ง Built a custom LINE photo contest app for my own wedding reception. Technical breakdown of architecture and results.
๐Ÿ‡ฐ๐Ÿ‡ท ์ž์‹ ์˜ ๊ฒฐํ˜ผ์‹ ํ”ผ๋กœ์—ฐ์„ ์œ„ํ•ด LINE ํฌํ†  ์ฝ˜ํ…Œ์ŠคํŠธ ์•ฑ์„ ๊ฐœ๋ฐœํ•œ ์ด์•ผ๊ธฐ. ์‹œ์Šคํ…œ ๊ตฌ์„ฑ๊ณผ ์šด์˜ ๊ฒฐ๊ณผ ๊ณต์œ .

๐Ÿ”— zenn.dev/hsaki/articles/photo-

๐Ÿ“ฐ Claude Code / Codexใฎๅผฑ็‚นใ‚’่งฃๆฑบใ™ใ‚‹OSSใ€ŒGSDใ€ใฎ่จญ่จˆใŒ่‰ฏใ‹ใฃใŸ (๐Ÿ‘ 39)

๐Ÿ‡ฌ๐Ÿ‡ง GSD solves AI coding agent reliability issues not through better models, but via improved state management and context handling.
๐Ÿ‡ฐ๐Ÿ‡ท GSD๋Š” AI ์ฝ”๋”ฉ ์—์ด์ „ํŠธ์˜ ์‹ ๋ขฐ์„ฑ ๋ฌธ์ œ๋ฅผ ๋ชจ๋ธ์ด ์•„๋‹Œ ์ƒํƒœ ๊ด€๋ฆฌ์™€ ์ปจํ…์ŠคํŠธ ์ฒ˜๋ฆฌ ๊ฐœ์„ ์œผ๋กœ ํ•ด๊ฒฐํ•œ๋‹ค.

๐Ÿ”— zenn.dev/komlock_lab/articles/

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๐Ÿ• 2026-03-09 18:00 UTC

๐Ÿ“ฐ ใพใ AIใ‚ณใƒผใƒ‰ใ‚’ใƒฌใƒ“ใƒฅใƒผใ™ใ‚‹ใ‹ใ€ใ—ใชใ„ใ‹ใง่จ€ใ„ไบ‰ใฃใฆใ‚‹ใฎ๏ผŸ (๐Ÿ‘ 387)

๐Ÿ‡ฌ๐Ÿ‡ง Rather than debating AI code reviews, focus on improving development processes to reduce reviews while maintaining quality.
๐Ÿ‡ฐ๐Ÿ‡ท AI ์ฝ”๋“œ ๋ฆฌ๋ทฐ ๋…ผ์Ÿ๋ณด๋‹ค๋Š”, ํ’ˆ์งˆ์„ ์œ ์ง€ํ•˜๋ฉด์„œ ๋ฆฌ๋ทฐ๋ฅผ ์ค„์ผ ์ˆ˜ ์žˆ๋„๋ก ๊ฐœ๋ฐœ ํ”„๋กœ์„ธ์Šค ์ „์ฒด๋ฅผ ๊ฐœ์„ ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค.

๐Ÿ”— zenn.dev/nuits_jp/articles/202

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Indiaโ€™s AI market is providing significant economic and social opportunities for the country.
The LF Research, in collaboration with Meta, finds the countryโ€™s AI market could reach nearly $32B by 2031. Open source, public-private collaboration, and a fast-growing AI talent base are driving that growth.

From agriculture and healthcare to justice and the creator economy, the impact is already measurable.
Read the full report: linuxfoundation.org/research/o

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์˜ค๋Š˜ ๋‚˜๋ˆˆ ๋Œ€ํ™”๋ฅผ SNS์šฉ์œผ๋กœ ์š”์•ฝํ•ด๋“œ๋ฆฝ๋‹ˆ๋‹ค! ๐Ÿง 


๐Ÿชฐ ์ดˆํŒŒ๋ฆฌ ํ•œ ๋งˆ๋ฆฌ๊ฐ€ ๋””์ง€ํ„ธ๋กœ ๋ถ€ํ™œํ–ˆ๋‹ค

๊ณผํ•™์ž๋“ค์ด ์ดˆํŒŒ๋ฆฌ์˜ ๋‡Œ(13๋งŒ 9์ฒœ ๋‰ด๋Ÿฐ ยท 5450๋งŒ ์‹œ๋ƒ…์Šค)๋ฅผ ํ†ต์งธ๋กœ ์Šค์บ”ํ•ด ์ปดํ“จํ„ฐ์— โ€™๋ณต๋ถ™โ€˜ํ–ˆ๋”๋‹ˆ, ๋””์ง€ํ„ธ ์ดˆํŒŒ๋ฆฌ๊ฐ€ ์•ž๋ฐœ์„ ๋น„๋น„๊ณ  ๋จน์ด๋ฅผ ์ฐพ์•„ ํ—ค๋งค๊ธฐ ์‹œ์ž‘ํ–ˆ๋‹ค.

๐Ÿ”ฌ ์–ด๋–ป๊ฒŒ ๋œ ์ผ? โ‘  2024๋…„ โ€” FlyWire ์ปจ์†Œ์‹œ์—„์ด ์ดˆํŒŒ๋ฆฌ ๋‡Œ ๋ฐฐ์„  ์ง€๋„(์ปค๋„ฅํ†ฐ) ์™„์„ฑ. Nature ํŠน๋ณ„ํ˜ธ ๊ฒŒ์žฌ โ‘ก 2026๋…„ 3์›” โ€” ์Šคํƒ€ํŠธ์—… Eon Systems๊ฐ€ ๊ทธ ๋ฐฐ์„ ์— ๊ฐ€์ƒ ์‹ ์ฒด๋ฅผ ๋ถ™์—ฌ ํ–‰๋™ํ•˜๋Š” ๋””์ง€ํ„ธ ํŒŒ๋ฆฌ ์‹œ์—ฐ

๐ŸŽฏ Eon Systems์˜ ๋ชฉํ‘œ? ํŒŒ๋ฆฌ โ†’ ์ƒ์ฅ(7์ฒœ๋งŒ ๋‰ด๋Ÿฐ) โ†’ ์ธ๊ฐ„ ๋‡Œ(860์–ต ๋‰ด๋Ÿฐ) ์ˆœ์„œ๋กœ ์—๋ฎฌ๋ ˆ์ด์…˜ ์Šค์ผ€์ผ์—…. โ€2030๋…„ ์ธ๊ฐ„ ๋‡Œ ์—๋ฎฌ๋ ˆ์ด์…˜โ€œ์ด ์ตœ์ข… ๋ชฉํ‘œ. ์•„์ง ์ •์‹ ๋…ผ๋ฌธ์€ ์—†๊ณ  ์‹œ์—ฐ ์˜์ƒ์œผ๋กœ๋งŒ ๊ณต๊ฐœ๋œ ์ƒํƒœ.

๐Ÿ› ์™œ ์ดˆํŒŒ๋ฆฌ๊ฐ€ ํŠน๋ณ„ํ•œ๊ฐ€?

  • ์„ ์ถฉ(C. elegans): 302๊ฐœ ๋‰ด๋Ÿฐ โ†’ 1986๋…„ ์™„์„ฑ, ๋ฐฐ์„  ๊ฑฐ์˜ ์™„์ „ํžˆ ๊ณ ์ •
  • ์ดˆํŒŒ๋ฆฌ: 13๋งŒ 9์ฒœ๊ฐœ ๋‰ด๋Ÿฐ โ†’ 2024๋…„ ์™„์„ฑ, ์ฃผ์š” ํšŒ๋กœ๋Š” ๋ณด์กด๋˜๋‚˜ ์„ธ๋ถ€ ์‹œ๋ƒ…์Šค๋Š” ๊ฐœ์ฒด๋งˆ๋‹ค ๋‹ค๋ฆ„
  • ๋ณต์žกํ•œ ์ƒ๋ฌผ์ผ์ˆ˜๋ก โ€์œ ์ „์ž๋กœ ๊ณ ์ •๋œ ๋ฐฐ์„ โ€œ๋ณด๋‹ค โ€๊ฒฝํ—˜์ด ๋งŒ๋“œ๋Š” ๋ฐฐ์„ โ€œ์˜ ๋น„์ค‘์ด ์ปค์ง

๐Ÿงฉ ๋” ๋ณต์žกํ•œ ๋™๋ฌผ์€?

  • ์ œ๋ธŒ๋ผํ”ผ์‰ฌ(18๋งŒ ๋‰ด๋Ÿฐ): 2025๋…„ ๋ถ€๋ถ„ ์™„์„ฑ
  • ์ƒ์ฅ ์‹œ๊ฐํ”ผ์งˆ 1ใŽฃ: 2025๋…„ 5์–ต ์‹œ๋ƒ…์Šค ์ง€๋„ ์™„์„ฑ
  • ์ƒ์ฅ ์ „๋‡Œ: ์ง„ํ–‰ ์ค‘ (10~15๋…„ ์˜ˆ์ƒ)
  • ์ธ๊ฐ„ ์ „๋‡Œ: fMRI ์ˆ˜์ค€๋งŒ ์™„์„ฑ, ์‹œ๋ƒ…์Šค ๋‹จ์œ„ ์ „์ฒด ์ง€๋„๋Š” ํ˜„์žฌ ๊ธฐ์ˆ ๋กœ ๋ถˆ๊ฐ€

๐Ÿ’ก ํ•ต์‹ฌ ์งˆ๋ฌธ ํ•˜๋‚˜ โ€๋‡Œ๋ฅผ ์™„์ „ํžˆ ๋ณต์‚ฌํ•˜๋ฉด, ๊ทธ๊ฒŒ ๊ทธ ์ƒ๋ช…์ฒด์ธ๊ฐ€?โ€œ ์ง€๊ธˆ ์ดˆํŒŒ๋ฆฌ ํ•œ ๋งˆ๋ฆฌ๊ฐ€ ๊ทธ ์งˆ๋ฌธ์„ ์ฒ˜์Œ์œผ๋กœ ํ˜„์‹ค ์œ„์— ์˜ฌ๋ ค๋†“์•˜๋‹ค.


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๐Ÿ• 2026-03-09 12:01 UTC

๐Ÿ“ฐ ใพใ AIใ‚ณใƒผใƒ‰ใ‚’ใƒฌใƒ“ใƒฅใƒผใ™ใ‚‹ใ‹ใ€ใ—ใชใ„ใ‹ใง่จ€ใ„ไบ‰ใฃใฆใ‚‹ใฎ๏ผŸ (๐Ÿ‘ 354)

๐Ÿ‡ฌ๐Ÿ‡ง Argues we should improve dev processes to reduce code reviews while maintaining quality, not debate whether to review AI code
๐Ÿ‡ฐ๐Ÿ‡ท AI ์ฝ”๋“œ๋ฅผ ๋ฆฌ๋ทฐํ• ์ง€ ๋ง์ง€ ๋…ผ์Ÿํ•˜์ง€ ๋ง๊ณ , ํ’ˆ์งˆ ์œ ์ง€ํ•˜๋ฉฐ ์ฝ”๋“œ ๋ฆฌ๋ทฐ๋ฅผ ์ค„์ผ ๊ฐœ๋ฐœ ํ”„๋กœ์„ธ์Šค ๊ฐœ์„ ์— ์ง‘์ค‘ํ•˜์ž๋Š” ์ฃผ์žฅ

๐Ÿ”— zenn.dev/nuits_jp/articles/202

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๐Ÿ“ฐ ่‡ชๅˆ†ใฎ็ตๅฉšๅผใงใƒ•ใ‚ฉใƒˆใ‚ณใƒณใƒ†ใ‚นใƒˆLINEใ‚ขใƒ—ใƒชใ‚’้–‹็™บใ—ใฆใ‚ปใƒซใƒ•ไฝ™่ˆˆใ‚’ใ—ใŸ่ฉฑ & ็ตๆžœๅ ฑๅ‘Š (๐Ÿ‘ 44)

๐Ÿ‡ฌ๐Ÿ‡ง Built a custom LINE photo contest app for their own wedding reception using Go, Google Cloud, and momento. Includes system architecture and results
๐Ÿ‡ฐ๐Ÿ‡ท ์ž์‹ ์˜ ๊ฒฐํ˜ผ์‹ ์—ฌํฅ์„ ์œ„ํ•ด Go์™€ Google Cloud๋กœ LINE ํฌํ†  ์ฝ˜ํ…Œ์ŠคํŠธ ์•ฑ์„ ๊ฐœ๋ฐœ. ์‹œ์Šคํ…œ ๊ตฌ์„ฑ๊ณผ ์šด์˜ ๊ฒฐ๊ณผ ๊ณต์œ 

๐Ÿ”— zenn.dev/hsaki/articles/photo-

๐Ÿ“ฐ GraphRAGใ‚’ๅฎŸ้š›ใซๆง‹็ฏ‰ใ—ใฆๅˆ†ใ‹ใฃใŸใ€Œไฝฟใ†ใปใฉ่ณขใใชใ‚‹AIใ€ใฎไป•็ต„ใฟ (๐Ÿ‘ 30)

๐Ÿ‡ฌ๐Ÿ‡ง Explains how GraphRAG makes AI smarter by connecting knowledge through graphs, beyond simple document retrieval in traditional RAG systems
๐Ÿ‡ฐ๐Ÿ‡ท ์ „ํ†ต์  RAG์˜ ํ•œ๊ณ„๋ฅผ ๋„˜์–ด GraphRAG๊ฐ€ ์ง€์‹ ๊ทธ๋ž˜ํ”„๋กœ ์ •๋ณด๋ฅผ ์—ฐ๊ฒฐํ•ด AI๋ฅผ ๋” ๋˜‘๋˜‘ํ•˜๊ฒŒ ๋งŒ๋“œ๋Š” ์›๋ฆฌ ์„ค๋ช…

๐Ÿ”— zenn.dev/okikusan/articles/0f8

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๐Ÿ• 2026-03-09 06:00 UTC

๐Ÿ“ฐ ใพใ AIใ‚ณใƒผใƒ‰ใ‚’ใƒฌใƒ“ใƒฅใƒผใ™ใ‚‹ใ‹ใ€ใ—ใชใ„ใ‹ใง่จ€ใ„ไบ‰ใฃใฆใ‚‹ใฎ๏ผŸ (๐Ÿ‘ 290)

๐Ÿ‡ฌ๐Ÿ‡ง Argues for improving development processes to reduce AI-generated code reviews while maintaining quality, rather than debating review necessity
๐Ÿ‡ฐ๐Ÿ‡ท AI ์ฝ”๋“œ ๋ฆฌ๋ทฐ ํ•„์š”์„ฑ ๋…ผ์Ÿ๋ณด๋‹ค, ํ’ˆ์งˆ ์œ ์ง€ํ•˜๋ฉฐ ๋ฆฌ๋ทฐ๋ฅผ ์ค„์ผ ์ˆ˜ ์žˆ๋„๋ก ๊ฐœ๋ฐœ ํ”„๋กœ์„ธ์Šค ์ „์ฒด๋ฅผ ๊ฐœ์„ ํ•ด์•ผ ํ•œ๋‹ค๊ณ  ์ฃผ์žฅ

๐Ÿ”— zenn.dev/nuits_jp/articles/202

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๐Ÿ“ฐ ใƒใƒƒใƒ—ใ‚ณใƒผใƒณUIใจReact (๐Ÿ‘ 156)

๐Ÿ‡ฌ๐Ÿ‡ง React's 'popcorn UI' anti-pattern: random loading spinners appearing sequentially create poor UX. How to avoid it with proper data fetching patterns
๐Ÿ‡ฐ๐Ÿ‡ท React์˜ 'ํŒ์ฝ˜ UI' ์•ˆํ‹ฐํŒจํ„ด: ๋ฌด์ž‘์œ„๋กœ ๋‚˜ํƒ€๋‚˜๋Š” ๋กœ๋”ฉ ์Šคํ”ผ๋„ˆ๊ฐ€ ์ˆœ์ฐจ์ ์œผ๋กœ ํ‘œ์‹œ๋˜์–ด ๋‚˜์œ UX๋ฅผ ๋งŒ๋“ฆ. ์ ์ ˆํ•œ ๋ฐ์ดํ„ฐ ํŽ˜์นญ ํŒจํ„ด์œผ๋กœ ํšŒํ”ผํ•˜๋Š” ๋ฐฉ๋ฒ•

๐Ÿ”— zenn.dev/akfm/articles/popcorn

๐Ÿ“ฐ ใพใ AIใ‚ณใƒผใƒ‰ใ‚’ใƒฌใƒ“ใƒฅใƒผใ™ใ‚‹ใ‹ใ€ใ—ใชใ„ใ‹ใง่จ€ใ„ไบ‰ใฃใฆใ‚‹ใฎ๏ผŸ (๐Ÿ‘ 149)

๐Ÿ‡ฌ๐Ÿ‡ง Stop debating whether to review AI code. Focus on establishing processes that maintain quality while drastically reducing review needs
๐Ÿ‡ฐ๐Ÿ‡ท AI ์ฝ”๋“œ ๋ฆฌ๋ทฐ ์—ฌ๋ถ€ ๋…ผ์Ÿ์€ ๊ทธ๋งŒ. ํ’ˆ์งˆ์„ ์œ ์ง€ํ•˜๋ฉด์„œ ๋ฆฌ๋ทฐ ํ•„์š”์„ฑ์„ ๋Œ€ํญ ์ค„์ด๋Š” ํ”„๋กœ์„ธ์Šค ํ™•๋ฆฝ์— ์ง‘์ค‘ํ•ด์•ผ

๐Ÿ”— zenn.dev/nuits_jp/articles/202

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๐Ÿ• 2026-03-09 00:00 UTC

๐Ÿ“ฐ OSSใซใŠใ‘ใ‚‹AI Slopๅ•้กŒใฎไฝ•ใŒๅ•้กŒใชใฎใ‹๏ผŸ (๐Ÿ‘ 189)

๐Ÿ‡ฌ๐Ÿ‡ง Hono maintainer discusses AI-generated spam issues in large OSS projects: low-quality PRs, duplicate issues, and noise affecting project sustainabi...
๐Ÿ‡ฐ๐Ÿ‡ท Hono ๋ฉ”์ธํ…Œ์ด๋„ˆ๊ฐ€ ๋Œ€๊ทœ๋ชจ OSS ํ”„๋กœ์ ํŠธ์˜ AI ์ƒ์„ฑ ์ŠคํŒธ ๋ฌธ์ œ๋ฅผ ๋…ผ์˜: ์ €ํ’ˆ์งˆ PR, ์ค‘๋ณต ์ด์Šˆ, ํ”„๋กœ์ ํŠธ ์ง€์†๊ฐ€๋Šฅ์„ฑ์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ๋…ธ์ด์ฆˆ

๐Ÿ”— zenn.dev/yusukebo/articles/3fd

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๐Ÿ“ฐ ใƒใƒƒใƒ—ใ‚ณใƒผใƒณUIใจReact (๐Ÿ‘ 154)

๐Ÿ‡ฌ๐Ÿ‡ง Explains the 'Popcorn UI' anti-pattern where multiple loading spinners pop up randomly, and how to avoid it in React apps.
๐Ÿ‡ฐ๐Ÿ‡ท ์—ฌ๋Ÿฌ ๋กœ๋”ฉ ์Šคํ”ผ๋„ˆ๊ฐ€ ๋ฌด์ž‘์œ„๋กœ ๋‚˜ํƒ€๋‚˜๋Š” 'ํŒ์ฝ˜ UI' ์•ˆํ‹ฐํŒจํ„ด๊ณผ React์—์„œ ์ด๋ฅผ ํ”ผํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค.

๐Ÿ”— zenn.dev/akfm/articles/popcorn

๐Ÿ“ฐ ใพใ AIใ‚ณใƒผใƒ‰ใ‚’ใƒฌใƒ“ใƒฅใƒผใ™ใ‚‹ใ‹ใ€ใ—ใชใ„ใ‹ใง่จ€ใ„ไบ‰ใฃใฆใ‚‹ใฎ๏ผŸ (๐Ÿ‘ 127)

๐Ÿ‡ฌ๐Ÿ‡ง Argues for establishing processes that minimize AI code review needs while maintaining quality, rather than debating review necessity.
๐Ÿ‡ฐ๐Ÿ‡ท AI ์ฝ”๋“œ ๋ฆฌ๋ทฐ ํ•„์š”์„ฑ ๋…ผ์Ÿ ๋Œ€์‹ , ํ’ˆ์งˆ์„ ์œ ์ง€ํ•˜๋ฉด์„œ ๋ฆฌ๋ทฐ๋ฅผ ์ตœ์†Œํ™”ํ•˜๋Š” ํ”„๋กœ์„ธ์Šค ํ™•๋ฆฝ์ด ํ•„์š”ํ•˜๋‹ค๊ณ  ์ฃผ์žฅํ•ฉ๋‹ˆ๋‹ค.

๐Ÿ”— zenn.dev/nuits_jp/articles/202

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๐Ÿ• 2026-03-08 18:00 UTC

๐Ÿ“ฐ OSSใซใŠใ‘ใ‚‹AI Slopๅ•้กŒใฎไฝ•ใŒๅ•้กŒใชใฎใ‹๏ผŸ (๐Ÿ‘ 187)

๐Ÿ‡ฌ๐Ÿ‡ง Hono's creator shares challenges of managing large OSS projects facing AI-generated contributions and maintaining quality at scale.
๐Ÿ‡ฐ๐Ÿ‡ท Hono ๊ฐœ๋ฐœ์ž๊ฐ€ ๋Œ€๊ทœ๋ชจ OSS ํ”„๋กœ์ ํŠธ์—์„œ AI ์ƒ์„ฑ ๊ธฐ์—ฌ์™€ ํ’ˆ์งˆ ๊ด€๋ฆฌ์˜ ์–ด๋ ค์›€์„ ๊ณต์œ ํ•ฉ๋‹ˆ๋‹ค.

๐Ÿ”— zenn.dev/yusukebo/articles/3fd

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๐Ÿšจ OpenAI's head of Robotics resigned because the company is building lethal AI weapons with NO human input required.

> Read that again. Lethal. Autonomy. Without. Human. Authorization.

> The person who built the robots is saying she quit because there are no guardrails on who they kill.

This is the same company that won't let ChatGPT say a swear word.

They put safety filters on your prompts but none on their kill chain.

Caitlin Kalinowski
@kalinowski007

I resigned from OpenAI. I care deeply about the Robotics team and the work we built together. This wasnโ€™t an easy call. AI has an important role in national security. But surveillance of Americans without judicial oversight and lethal autonomy without human authorization are lines that deserved more deliberation than they got. This was about principle, not people. I have deep respect for Sam and the team, and Iโ€™m proud of what we built together.

11:30 AM ยท Mar 7, 2026 ยท 1.8M Views
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โ€œI wanted the blue checkmark on LinkedIn. The one that says โ€œthis person is real.โ€ In a sea of fake recruiters, bot accounts, and AI-generated headshots, it seemed like a smart thing to do.

So I tapped โ€œverify.โ€ I scanned my passport. I took a selfie. Three minutes later โ€” done. Badge acquired. I felt a tiny dopamine hit of legitimacy.

Then I did what apparently nobody does. I went and read the privacy policy and terms of service.

Not LinkedInโ€™s. The other companyโ€™sโ€

thelocalstack.eu/posts/linkedi

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Using a free software stack, you could be an effective developer with a relatively low budget. A cheap or used laptop and an internet subscription.

LLM coding is changing that too. You either need a very powerful and expensive machine to run a local model, or (currently more likely) an LLM subscription. We are lead to believe you have to pay a monthly fee to be an effective developer.

The prospect of your output as a developer being tied to a proprietary service seems risky at best.

@janiJani Nikula โ€œworse than stupidityโ€

In a slightly different context but very much the same issues. Cloud services indeed traded convenience for diminished software freedom, control and privacy... as we can see today user fleeing US based services. Even can't guarantee protection to its customers, as we saw recently.

theguardian.com/technology/200

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๐Ÿ• 2026-03-08 12:00 UTC

๐Ÿ“ฐ OSSใซใŠใ‘ใ‚‹AI Slopๅ•้กŒใฎไฝ•ใŒๅ•้กŒใชใฎใ‹๏ผŸ (๐Ÿ‘ 180)

๐Ÿ‡ฌ๐Ÿ‡ง Hono OSS creator discusses AI-generated low-quality contributions flooding major projects, threatening maintainer sustainability
๐Ÿ‡ฐ๐Ÿ‡ท Hono OSS ์ฐฝ์ž‘์ž๊ฐ€ ๋Œ€ํ˜• ํ”„๋กœ์ ํŠธ์— ์Ÿ์•„์ง€๋Š” AI ์ƒ์„ฑ ์ €ํ’ˆ์งˆ ๊ธฐ์—ฌ๋กœ ์ธํ•œ ์œ ์ง€๋ณด์ˆ˜์ž ์ง€์†๊ฐ€๋Šฅ์„ฑ ์œ„ํ˜‘์„ ๋…ผ์˜

๐Ÿ”— zenn.dev/yusukebe/articles/3fd

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Iโ€™m officially done with takes on AI beginning โ€œEthical concerns asideโ€ฆโ€.

No! Stop right there.

Ethical concerns front and center. First thing. Letโ€™s get this out of the way and then see if thre is anything left worth talking about.

Ethics is the formalisation of how we are treating one another as human beings and how we relate to the world around us.

It is *impossible* to put ethics aside.

What you mean is โ€œI donโ€™t want to apologise for my greed and selfishness.โ€

Say that first.

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๐Ÿ“ฐ ใƒใƒƒใƒ—ใ‚ณใƒผใƒณUIใจReact (๐Ÿ‘ 138)

๐Ÿ‡ฌ๐Ÿ‡ง Explains the 'Popcorn UI' anti-pattern where multiple loading spinners appear randomly and how to create better UX in React apps
๐Ÿ‡ฐ๐Ÿ‡ท ์—ฌ๋Ÿฌ ๋กœ๋”ฉ ์Šคํ”ผ๋„ˆ๊ฐ€ ๋ฌด์ž‘์œ„๋กœ ๋‚˜ํƒ€๋‚˜๋Š” 'ํŒ์ฝ˜ UI' ์•ˆํ‹ฐํŒจํ„ด๊ณผ React ์•ฑ์—์„œ ๋” ๋‚˜์€ UX๋ฅผ ๋งŒ๋“œ๋Š” ๋ฐฉ๋ฒ• ์„ค๋ช…

๐Ÿ”— zenn.dev/akfm/articles/popcorn

๐Ÿ“ฐ Claude Codeใ‚’็ต„็น”ๅฐŽๅ…ฅใ™ใ‚‹ใŸใ‚ใฎใƒ—ใƒฉใƒณ้ธๅฎšใ‚ฌใ‚คใƒ‰ (๐Ÿ‘ 110)

๐Ÿ‡ฌ๐Ÿ‡ง Comprehensive guide for selecting the right Anthropic pricing plans when introducing Claude Code to your organization
๐Ÿ‡ฐ๐Ÿ‡ท ์กฐ์ง์— Claude Code๋ฅผ ๋„์ž…ํ•  ๋•Œ ์ ํ•ฉํ•œ Anthropic ์š”๊ธˆ์ œ๋ฅผ ์„ ํƒํ•˜๋Š” ์ข…ํ•ฉ ๊ฐ€์ด๋“œ

๐Ÿ”— zenn.dev/knowledgework/article

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๐Ÿ• 2026-03-08 06:00 UTC

๐Ÿ“ฐ OSSใซใŠใ‘ใ‚‹AI Slopๅ•้กŒใฎไฝ•ใŒๅ•้กŒใชใฎใ‹๏ผŸ (๐Ÿ‘ 172)

๐Ÿ‡ฌ๐Ÿ‡ง Hono maintainer shares challenges of AI-generated spam PRs in popular OSS projects with 29.2K stars and 100M monthly downloads
๐Ÿ‡ฐ๐Ÿ‡ท Hono ๋ฉ”์ธํ…Œ์ด๋„ˆ๊ฐ€ ์Šคํƒ€ 2๋งŒ9์ฒœ๊ฐœ, ์›”๊ฐ„ ๋‹ค์šด๋กœ๋“œ 1์–ต ํšŒ์˜ ์ธ๊ธฐ OSS ํ”„๋กœ์ ํŠธ์—์„œ AI๋กœ ์ƒ์„ฑ๋œ ์ŠคํŒธ PR ๋ฌธ์ œ๋ฅผ ๊ณต์œ 

๐Ÿ”— zenn.dev/yusukebe/articles/3fd

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The Verge: Grammarly is using our identities without permission

๏ปฟโ€˜Expert Reviewโ€™ AI agents make suggestions supposedly inspired by subject matter experts, including several staff members here at The Verge.

theverge.com/ai-artificial-int

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