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๐Ÿ’ป Tech News

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hackernewsdev

Floating Point Fun on Cortex-M Processors

Floating Point Fun on Cortex-M Processors

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hackernewsdev

Optimizing Ruby Path Methods

Optimizing Ruby Path Methods

2
hackernewsdev

Show HN: SmallDocs - Markdown without the frustrations

Show HN: SmallDocs - Markdown without the frustrations

2
hackernewsai

Show HN: AI Subroutines โ€“ Run automation scripts inside your browser tab

Show HN: AI Subroutines โ€“ Run automation scripts inside your browser tab

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hackernewsai

Dad brains: How fatherhood rewires the male mind

Dad brains: How fatherhood rewires the male mind

2

๐Ÿ“Š Stock

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๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ ์‹œ์žฅ

KOSPI
6,191.92+34.13 (+์ƒ์Šน)
KOSDAQ
1,170.04+7.07 (+์ƒ์Šน)

๐Ÿ‡บ๐Ÿ‡ธ ๋ฏธ๊ตญ ์‹œ์žฅ

S&P 500
7,126.06+84.78 (+1.20%)
NASDAQ
24,468.48+365.78 (+1.52%)
DOW
49,447.43+868.71 (+1.79%)

๐Ÿ’ฑ ํ™˜์œจ

USD/KRW
1,467.8013.00
JPY/KRW
925.444.86
EUR/KRW
1,726.7218.03

๐Ÿช™ ์•”ํ˜ธํ™”ํ

BTC
$75,251(โ‚ฉ110,395,552)-1.73%
ETH
$2,318(โ‚ฉ3,400,539)-2.57%

๐Ÿ”ฅ ์ƒ์Šน TOP

1.STX์—”์ง„
44,000+29.99%
2.์ง„์›์ƒ๋ช…๊ณผํ•™
1,017+29.89%
3.์‹ ํ’์ œ์•ฝ์šฐ
24,450+27.28%
4.์‹ ํ’์ œ์•ฝ
14,090+26.48%
5.ํ›„์„ฑ
13,820+22.30%

๐ŸงŠ ํ•˜๋ฝ TOP

1.์ œ์ด์•Œ๊ธ€๋กœ๋ฒŒ๋ฆฌ์ธ 
1,132-13.52%
2.๋ฌด๋ฆผํŽ˜์ดํผ
2,240-12.50%
3.SUN&L
2,550-10.99%
4.OCIํ™€๋”ฉ์Šค
267,500-10.83%
5.๋ฏธ์›ํ™”ํ•™
13,550-8.38%

๐Ÿ  Real Estate

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๐Ÿ“Š ์‹ค๊ฑฐ๋ž˜ ๋ณ€๋™ (2026-04-18)

โ–ฒ ์ƒ์Šน 763๊ฑดโ–ผ ํ•˜๋ฝ 762๊ฑด

์ƒ์Šน 763๊ฑด / ํ•˜๋ฝ 762๊ฑด

๐Ÿ“ˆ ๊ฒฝ์ œ์ง€ํ‘œ

๊ฒฝ์ œ์ง€ํ‘œ

ํ•œ๊ตญ์€ํ–‰ ๊ธฐ์ค€๊ธˆ๋ฆฌ: 2.5(+0.00%) / ์ฃผํƒ๋งค๋งค๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 91.663(+0.44%) / ์ฃผํƒ์ „์„ธ๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 92.662(+0.43%)

๐Ÿ† ์ธ๊ธฐ ์•„ํŒŒํŠธ ๋žญํ‚น

1.๊ณ ๋•๊ทธ๋ผ์‹œ์›€
2.๊ณต๋•์—ญ์ž์ด๋ฅด๋„ค
3.๊ฒฝ๊ธฐ๊ด‘์ฃผ์—ญ๋กฏ๋ฐ์บ์Šฌ์‹œ๊ทธ๋‹ˆ์ฒ˜1๋‹จ์ง€
4.์‚ฐ์„ฑ์—ญํฌ๋ ˆ์Šคํ‹ฐ์•„
5.๋™ํƒ„ํŒŒ๋ผ๊ณค3์ฐจ
6.์„œ์šธ์›์•„์ดํŒŒํฌ
7.ํ—ฌ๋ฆฌ์˜ค์‹œํ‹ฐ
8.์˜ํ†ต์—ญ์šฐ๋ฏธ๋ฆฐ
9.์„ฑ๋ณต์—ญ๋กฏ๋ฐ์บ์Šฌ๊ณจ๋“œํƒ€์šด
10.์ง€์ œ์—ญ๋ฐ˜๋„์ฒด๋ฐธ๋ฆฌํ’๊ฒฝ์ฑ„์–ด๋ฐ”๋‹ˆํ‹ฐ

๐Ÿ“ ์ธ๊ธฐ ์ง€์—ญ ๋žญํ‚น

1.์„œ์šธํŠน๋ณ„์‹œ ๊ฐ•๋™๊ตฌ
2.์„œ์šธํŠน๋ณ„์‹œ ๋งˆํฌ๊ตฌ
3.๊ฒฝ๊ธฐ๋„ ๊ด‘์ฃผ์‹œ
4.๊ฒฝ๊ธฐ๋„ ์„ฑ๋‚จ์‹œ
5.๊ฒฝ๊ธฐ๋„ ํ™”์„ฑ์‹œ
6.์„œ์šธํŠน๋ณ„์‹œ ๋…ธ์›๊ตฌ
7.์„œ์šธํŠน๋ณ„์‹œ ์†กํŒŒ๊ตฌ
8.๊ฒฝ๊ธฐ๋„ ์ˆ˜์›์‹œ
9.๊ฒฝ๊ธฐ๋„ ์šฉ์ธ์‹œ
10.๊ฒฝ๊ธฐ๋„ ํ‰ํƒ์‹œ

๐Ÿข ์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์„ธ 676๊ฑด / ์›”์„ธ 629๊ฑด

๐Ÿ™๏ธ ์˜คํ”ผ์Šคํ…”

์˜คํ”ผ์Šคํ…” ๋งค๋งค 114๊ฑด

114๊ฑด ๊ฑฐ๋ž˜

๐Ÿ“ฐ ๋ถ€๋™์‚ฐ ๋‰ด์Šค

์ค‘์ €๊ฐ€๊ฐ€ ์ด๋ˆ ์„œ์šธ ์•„ํŒŒํŠธ ๊ฑฐ๋ž˜๋Ÿ‰ 'ํ†ฑ50' 86%๊ฐ€ ์™ธ๊ณฝ [๋ถ€๋™์‚ฐ360]
์‹ ์ถ• ์•„ํŒŒํŠธ ์Ÿ์•„์ง„ ๊ด‘๋ช…๋„ ์ „์„ธ ๋ถˆ์žฅ
"์†๋„ ๋†’์ด๋‹ˆ ๊ฑด์„ค์‚ฌ ๋ชจ์ด๋„ค" ๊ด‘์ง„๊ตฌ ์ฒซ ๊ณต๊ณต์ง€์› ์žฌ๊ฐœ๋ฐœ ๋น„๊ฒฐ์€
๋„ค๋ฒˆ ์œ ์ฐฐ ๋ฒ„ํ‹ฐ๊ณ  ๋ฒ„ํ‹ฐ๊ณ ๊ฐœ์—ญ, 500์„ธ๋Œ€๋กœ ๋‹ค์‹œ ์„ ๋‹ค[์ฝ”์ฃผ๋ถ€]
๊ตญํž˜, ์˜ค๋Š˜ ์„œ์šธ์‹œ์žฅ ์ตœ์ข… ํ›„๋ณด์ž ๋ฐœํ‘œ ์˜ค์„ธํ›ˆ 5์„  ๋„์ „
"๋น„๊ฑฐ์ฃผ 1์ฃผํƒ ๊ทœ์ œ, ๋ณด์œ ์„ธ ๊ฐ•ํ™”๊ฐ€ ์ง„์งœ ๋ณ€์ˆ˜" ๋Œ€์‘์ฑ…์€ [์ด์†ก๋ ฌ์˜ ์šฐ์ฃผ์ธ]
๋Œ€ํ†ต๋ น "์žฅํŠน๊ณต์ œ ํ์ง€๊ฐ€ ์„ธ๊ธˆํญํƒ„ ๊ฑฐ์ง“์„ ๋™, ๊ฑฐ์ฃผ ๋ฌด๊ด€ ์„ธ๊ธˆ ๊นŽ์•„์ฃผ๋Š” ์ œ๋„"
๋งค๋‹ฌ 1200๋งŒ์› ์ด์ž ๋ถ€๋‹ด ์ปธ๋Š”๋ฐ '40์–ต ๊ฑด๋ฌผ์ฃผ' ์ดํ•ด์ธ ๋‹ฌ๋ผ์ง„ ๊ทผํ™ฉ
์ •์›์˜ค, ์˜ค์„ธํ›ˆ ๊ตญํž˜ ํ›„๋ณด ํ™•์ •์— "์„œ์šธ ๋ฏธ๋ž˜ ๋†“๊ณ  ๋‹น๋‹นํ•˜๊ฒŒ ์ •์ฑ… ๊ฒฝ์Ÿ"
์œคํ•™์ˆ˜ ์”จ(๋Œ€ํ•œ์ „๋ฌธ๊ฑด์„คํ˜‘ํšŒ์žฅ ์ค‘์•™ํšŒ์žฅ) ๋ชจ์นœ์ƒ
์„ธ๊ณ„ ์ตœ์ดˆ 19mยท4 ๊ตด์ฐฉ '์‚ฌํŒจ์‚ฐ ํ„ฐ๋„'์— ๋‹ด๊ธด ๊ธฐ์ˆ  ํ˜์‹ [์งค๋ง‰์˜์ƒ]
์œคํ•™์ˆ˜ ์”จ(๋Œ€ํ•œ์ „๋ฌธ๊ฑด์„คํ˜‘ํšŒ์žฅ ์ค‘์•™ํšŒ์žฅ) ๋ชจ์นœ์ƒ
"ํ•œ๊ฐ•๋ณ€ ๋Œ€์‹  ์ง์ฃผ๊ทผ์ ‘ยท๋ช…ํ’ˆ ์•„ํŒŒํŠธ๋กœ ์Šน๋ถ€" ์„œ์ดˆ์ง„ํฅ 3๋…„ ๋‚ด ์ด์ฃผยท์ฒ ๊ฑฐ ๋๋‚ธ๋‹ค [์—ฌ๊ธฐ, ์ด ์ง‘]
์ „๊ธฐ์ฐจ ์ถฉ์ „๊ธฐ '์œ„์—์„œ ๋‚ด๋ ค์˜จ๋‹ค' ํ•œํ™” 'ํฌ๋ ˆ๋‚˜' ๋„์ž… ์˜ˆ์ •[์งค๋ง‰์˜์ƒ]
๋ถˆ๋ถ™์€ ์†กํŒŒ '๋น„์ž ์‹ค' ์žฌ๊ฑด์ถ• ๋ฐฉ์ด ๋Œ€๋ฆผ๊ฐ€๋ฝ 866์„ธ๋Œ€๋กœ ํƒˆ๋ฐ”๊ฟˆ [์ฝ”์ฃผ๋ถ€]
'์‹œ์† 1200 ' ๋Œ€์‹  ํ˜„์‹คํ™” ํ•˜์ดํผํŠœ๋ธŒ ์†๋„ 600ยท900 ๋‹จ๊ณ„ ๋„์ž…
"์•„ํŒŒํŠธ ๊ทœ์ œ ํ”ผํ•˜์ž" ์ฃผ๊ฑฐํ˜• ์˜คํ”ผ์Šคํ…”๋กœ ์ˆ˜์š” ์ด๋™
๋‚จ์–‘์ฃผ ์˜ค๋‚จ ์ตœ๋Œ€๊ทœ๋ชจ ๋‹จ์ง€. ์„œํฌ๊ฑด์„ค, '์˜ค๋‚จ์—ญ ์„œํฌ์Šคํƒ€ํž์Šค ์—ฌ์˜์žฌ 3๋‹จ์ง€' 4์›” ์ผ๋ฐ˜๋ถ„์–‘ ์˜ˆ์ •
์ฒญ์ฃผ ์ง€๋ถ์ง€๊ตฌยท๋™๋‚จ์ง€๊ตฌ ์ƒํ™œ๊ถŒ ๋‹จ์ง€ '์ฒญ์ฃผ ํ•œ์–‘๋ฆฝ์Šค ๋” ๋ฒจ๋ฃจ์ฒด' ๊ณต๊ธ‰
์ฒญ์•ฝ์ž 83% ์„ ํƒํ•œ 'ํ•™์„ธ๊ถŒ' ๊ณ ๋• ์ˆ˜์ž์ธํ’๊ฒฝ์ฑ„ 1ยท2๋‹จ์ง€ 4์›” ๋ถ„์–‘
์žฅ๊ธฐ ๋ฏผ๊ฐ„์ž„๋Œ€ ์ฃผํƒ '์ƒ๋„์—ญ ๋Œ€์šฐ ์—‘์†Œ๋””์›€' 250๊ฐ€๊ตฌ ์ฒญ์•ฝ ์ ‘์ˆ˜ ์™„๋ฃŒ
ํ…Œ๋ผ์Šคยท๋‹ค๋ฝ ๊ฐ–์ถ˜ '๋™ํƒ„ ๊ทธ์›ฌ 160' ๋ถ„์–‘ ๋Œ์ž… ์ค‘๋Œ€ํ˜•ยท์ €์ธต ๋‹จ์ง€ ๋ˆˆ๊ธธ
๋กฏ๋ฐ๊ฑด์„ค, PF ๋ฆฌ์Šคํฌ ์ค„์ด๊ณ  ์žฌ๋ฌด ์ฒด์งˆ ๊ฐœ์„  ์‹ค์  ๋ฐ˜๋“ฑ ๊ธฐ๋ฐ˜ ๋งˆ๋ จ
'์™•์‚ฌ๋‚จ' ํฅํ–‰์— ๋œฌ ์˜์›” ๊ธฐ์ฐจ ํƒ€๊ณ  ์ฆ๊ธฐ๋Š” ์—ฌํ–‰์ฝ”์Šค[์งค๋ง‰์˜์ƒ]
[์‚ฌ์„ค] ์•„์ง ๋ถˆ์•ˆํ•œ ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’, ๋ถ€๋™์‚ฐ ๋Œ€์ฑ… ๋ฐฉ์‹ฌ ๋ง์•„์•ผํ•œ๊ฒจ๋ ˆ
์ง‘ ํŒ”์•„ 20์–ต ์ฐจ์ต.9000๋งŒ 3์–ต6000๋งŒ์›, ์–‘๋„์„ธ ๋Š˜์–ด๋‚˜๋‚˜ [๋ถ€๋™์‚ฐ ์•„ํ† ์ฆˆ]
"์˜ฌ ๊ฒƒ์ด ์™”๋‹ค" ์žฅํŠน๊ณต์ œ ํ์ง€ ๋…ผ์˜์— 1์ฃผํƒ์ž ์„ธ๊ธˆ 'ํญํƒ„' ์šฐ๋ ค
์ „์…‹๊ฐ’ ์•Œ์•„๋ณด๋‹ค ํ™”๋“ค์ง ๊ฐ•๋ถ 10๋…„๋งŒ์— ์ƒ์Šนํญ ์ตœ๊ณ 
"์–‘๋„์„ธ ์ง๊ฒฉํƒ„" '์žฅํŠน๊ณต์ œ ํ์ง€ ๋ฒ•์•ˆ'์— ๋ฐ˜๋Œ€ ์˜๊ฒฌ๋งŒ ์ฐฌ์„ฑ ๋ฐ˜๋ฐ•๋„
"๊ฐ•๋‚จ์€ ์–ต์”ฉ ํ•˜๋ฝ, ๊ฐ•๋ถ์€ ์‹ ๊ณ ๊ฐ€" '๊ฐˆํŒก์งˆํŒก' ์„œ์šธ ์ง‘๊ฐ’
"๋ฌด์ฃผํƒ์ž ๋˜๋Š๋‹ˆ ์‹ค๊ฑฐ์ฃผํ• ๊ฒŒ์š”" ๋น„๊ฑฐ์ฃผ 1์ฃผํƒ์ž, ๊ทœ์ œ ์˜ˆ๊ณ ์—๋„ ๋งค๋ฌผ ์ถœํšŒ ์ž ์ž 
"๊ฐ•๋‚จ ์ถœํ‡ด๊ทผ ํŽธํ•œ๋ฐ ๋Œ€์ถœ 70% ๋‚˜์˜จ๋‹ค" ์‹ ๊ณ ๊ฐ€ ํ„ฐ์ง„ ๋™๋„ค
์žฅํŠน๊ณต์ œ ํ์ง€์— 1์ฃผํƒ์ž ์„ธ๊ธˆ ํญํƒ„ ์šฐ๋ ค ์ด ๋Œ€ํ†ต๋ น "๊ฑฐ์ง“ ์„ ๋™" ์ผ์นจ
์˜ค์„ธํ›ˆ, ์„œ์šธ์‹œ์žฅ ๊ตญ๋ฏผ์˜ํž˜ ์ตœ์ข… ํ›„๋ณด ํ™•์ • '์†Œํ†ต๋ น' 5์„  ๋„์ „
'๊ทœ์ œ ์™„ํ™” ํ˜œํƒ' ์šฉ์ ๋ฅ  300%๊นŒ์ง€ ์˜ฌ๋ฆฌ๋Š” ๋…ธ๋Ÿ‰์ง„1๊ตฌ์—ญ, 3100๊ฐ€๊ตฌ ๋Œ€๋‹จ์ง€๋กœ
์ˆ˜๋„๊ถŒ ์•„ํŒŒํŠธ๊ฐ’ 'ํ‚ค ๋งž์ถ”๊ธฐ' ๋ณธ๊ฒฉํ™”,์ค‘์ €๊ฐ€ ์ง€์—ญ์œผ๋กœ ์ˆ˜์š” ์ด๋™
"๋งŒ๊ธฐ์ธ๋ฐ ์™œ ๋ชป ๋‚ด๋ณด๋‚ด์ฃ  " ๊ฑด๋ฌผ์ฃผ๋ฅผ ๋ง‰์•„์„œ๋Š” ๋ฌต์‹œ์  ๊ฐฑ์‹ ์˜ ์ง„์‹ค [ํ•œ๊ฒฝ๋ถ€๋™์‚ฐ๋ฐธ๋ฅ˜์—…์„ผํ„ฐ]
์˜ค์„ธํ›ˆ, ๊ตญํž˜ ์„œ์šธ์‹œ์žฅ ํ›„๋ณด ํ™•์ • "์„œ์šธ ๋‚ด์ฃผ๋ฉด ์ •๊ถŒ ํญ์ฃผ ๋ชป ๋ง‰๋Š”๋‹ค"
์†ก๋„ F1 ๊ฒฝ๊ธฐ์žฅ์—์„œ ํ˜„๋Œ€์ฐจ๋ฅผ ๋ณผ ์ˆ˜ ์žˆ์„๊นŒ์š” [๊ถŒ๋งˆํ—ˆ์˜ ํ—ฌ๋ฉง]
๋‹ค์Œ์ฃผ 9258๊ฐ€๊ตฌ ๋ถ„์–‘ ์Ÿ์•„์ง„๋‹ค ์ˆ˜๋„๊ถŒยท์ง€๋ฐฉ ๋™์‹œ ๊ณต๊ธ‰
"3๋…„๊ฐ„ ์ง‘๊ฐ’ ์•ˆ์˜ค๋ฅด๊ณ  ์‚ฌ๊ฒ ๋‹จ ์‚ฌ๋žŒ๋„ ์—†์–ด์š”" ๋งค๋ฌผ๋งŒ ์Ÿ์•„์ง€๋Š” ์„ธ์ข…
๋ฒ„์Šค 20๋ถ„ vs ์ „์ฒ  1๋ถ„ '๋Œ€์žฅยทํ™๋Œ€์„ ' 6%๊ฐ€ ๋ฐ”๊ฟ€ ์„œ๋ถ€๊ถŒ ์„œ์—ด
์œคํ•™์ˆ˜(๋Œ€ํ•œ์ „๋ฌธ๊ฑด์„คํ˜‘ํšŒ ์ค‘์•™ํšŒ์žฅ)์”จ ๋ชจ์นœ์ƒ
์œคํ•™์ˆ˜(๋Œ€ํ•œ์ „๋ฌธ๊ฑด์„คํ˜‘ํšŒ ์ค‘์•™ํšŒ์žฅ)์”จ ๋ชจ์นœ์ƒ
์ด ๋Œ€ํ†ต๋ น โ€œ๊ฐœ ๋ˆˆ์—๋Š” ๋ญ๋งŒโ€โ€ฆโ€˜๋ถ„๋‹น ์•„ํŒŒํŠธ ์‹œ์„ธ์ฐจ์ต 25์–ตโ€™ ๊ธฐ์‚ฌ ์ง๊ฒฉํ•œ๊ฒจ๋ ˆ
โ€˜๊ณ ๊ฐ€ ์‹ ์ถ•๋งŒ ์˜ค๋ฅด๋„คโ€™โ€ฆ๊ฒฝ์ธ ์•„ํŒŒํŠธ ์ „์„ธ, ํ‰๊ท ยท์ค‘์œ„๊ฐ€๊ฒฉ ๊ฒฉ์ฐจ ์‹ฌํ™” [๋ถ€๋™์‚ฐ360]v.daum.net
์„œ์šธ ์•„ํŒŒํŠธ "๋น„์‹ธ๋„ ์™„ํŒ"...์ด์ œ๋Š” ๋‚ด๋ฆด ์ˆ˜ ์—†๋Š” ๊ฐ€๊ฒฉ[์†๋ฐ”๋‹ฅ๋ถ€๋™์‚ฐ]์ด๋ฐ์ผ๋ฆฌ
์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’, 7๊ฐœ์›” ๋งŒ์— ํ•˜๋ฝ ์‹ ํ˜ธโ€ฆ๊ธ‰๋งค ์ฆ๊ฐ€์‹œ์‚ฌ์ €๋„
์ดˆ๊ณ ๊ฐ€ ์•„ํŒŒํŠธ๊ฐ’ ๊บพ์ด์žโ€ฆ์„œ์šธ ๋ถ€๋™์‚ฐ ์–‘๊ทนํ™” ์™„ํ™”v.daum.net
์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ โ€˜์„ ๋ณ„์  ์ƒ์Šนโ€™โ€ฆ๋ถ„์–‘๊ฐ€์ƒํ•œ์ œ ๋‹จ์ง€ ์ฒญ์•ฝ ์ ๋ฆผ [AI ํ”ฝ]์ด์ฝ”๋…ธ๋ฏธ์ŠคํŠธ
[์ฃผ๊ฐ„๋ถ€๋™์‚ฐ์‹œํ™ฉ] โ€œ๋‹ค์ฃผํƒ์ž ๋Œ€์ถœ ์—ฐ์žฅ ๋ง‰๋Š”๋‹คโ€โ€ฆ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ 0.17% ํ•˜๋ฝ๋ฐ์ผ๋ฆฌ์•ˆ
์ƒ์Šน? ๋‘”ํ™”? ์ง‘๊ฐ’ ์ฃผ๊ฐ„ ํ†ต๊ณ„ ์ œ๊ฐ๊ฐโ€ฆ์‹ค์ˆ˜์š”์ž ํ˜ผ๋ž€๋งŒ ํ‚ค์›Œํ•œ๊ตญ๊ฒฝ์ œ
๋ถ€๋™์‚ฐ ์ „๋งใ€‰๊ด‘์ฃผ ์•„ํŒŒํŠธ ์ฃผ๊ฐ„ ์‹œ์„ธ์ •๋ณด์ง„์ผ๋ณด
์„ค๋‚  ์—ฐํœด๋กœ ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ ์ฃผ์ถคโ€ฆ ๊ทธ๋ž˜๋„ ์ƒ์Šน์„ธ ์œ ์ง€ํ•œ๊ตญ์ฃผํƒ๊ฒฝ์ œ์‹ ๋ฌธ
์„œ์šธ์€ โ€˜์ˆจ๊ณ ๋ฅด๊ธฐโ€™ ๊ฒฝ๊ธฐยท์ธ์ฒœ์€ โ€˜๋ถˆ์žฅโ€™โ€ฆ๋ถ„๋‹นยท๊ด‘๋ช… ์•„ํŒŒํŠธ๊ฐ’ 1%๋Œ€ ๊ธ‰๋“ฑ๊ฒฝ๊ธฐ์ผ๋ณด
์„ธ์ข…์‹œ ์•„ํŒŒํŠธ ๋งค๋งค-์ „์„ธ๊ฐ€๊ฒฉ '๊ณ ๊ณตํ–‰์ง„'์„ธ์ข…์˜์†Œ๋ฆฌ
[์†๋ณด] ์ด ๋Œ€ํ†ต๋ น, ๋ถ„๋‹น ์•„ํŒŒํŠธ ์‹œ์„ธ๋ณด๋‹ค ์ €๋ ดํ•œ 29์–ต์— ๋‚ด๋†”โ€ฆ์ฒญ์™€๋Œ€ โ€œ๋ถ€๋™์‚ฐ ์ •์ƒํ™” ์˜์ง€โ€๊ฒฝํ–ฅ์‹ ๋ฌธ
๊ฒฐ๊ตญ '๋ฌธ ์ง‘๊ฐ’' ๋„˜์—ˆ๋‹คโ€ฆ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’, 19๋…„๋งŒ์— ์ตœ๊ณ ์น˜ ์ƒ์Šน์ค‘์•™์ผ๋ณด

๐Ÿ—๏ธ ๋ถ„์–‘์ผ์ •

๋‘์‚ฐ์œ„๋ธŒ๋”์ œ๋‹ˆ์Šค ๊ตฌ๋ฏธ(์กฐํ•ฉ์›์ทจ์†Œ๋ถ„)
๊ณต๋•์—ญ์ž์ด๋ฅด๋„ค
๊ฐ•๋ฆ‰ ์šฐ๋ฏธ ๋ฆฐ ๋” ํ”„๋ฆฌ๋ฏธ์–ด
์ธ์ฒœ๊ฐ€์ •2์ง€๊ตฌ B2๋ธ”๋ก ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ(ํ›„์†์‚ฌ์—…)
์šฉ์ธ ๊ณ ๋ฆผ ๋™๋ฌธ ๋”” ์ด์ŠคํŠธ
๊ณ ๋•์‹ ๋„์‹œ ์•„ํ…Œ๋ผ A-63๋ธ”๋ก ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ
๊ฒฝ๊ธฐ๊ด‘์ฃผ์—ญ ๋กฏ๋ฐ์บ์Šฌ ์‹œ๊ทธ๋‹ˆ์ฒ˜ 1๋‹จ์ง€
๋™ํƒ„ ๊ทธ์›ฌ 160 (๋™ํƒ„2 B11BL)
๋ฌธ์ˆ˜๋กœ ๋ผํ‹ฐ์—๋ฅด 673
์—˜๋ฆฌํ”„ ์ฐฝ์›

๐Ÿค– AI Agent

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RPGAgent: Driving Coherent Story-to-Play Generation with an LLM-Based Multi-Agent System

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Mathematics Teachers Interactions with a Multi-Agent System for Personalized Problem Generation

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Hack-Agents: A Multi-Agent System for Innovation - Proof of Concept and Implications for AI-Augmented Hackathons

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Development, Evaluation, and Deployment of a Multi-Agent System for Thoracic Tumor Board

์˜๋ฃŒ ์ข…์–‘ ๋ณด๋“œ ํšŒ์˜์šฉ ์ž๋™ ์š”์•ฝ AI ๋ฉ€ํ‹ฐ์—์ด์ „ํŠธ ์›Œํฌํ”Œ๋กœ์šฐ

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A Benchmark and Multi-Agent System for Instruction-driven Cinematic Video Compilation

๋ช…๋ น์–ด ๊ธฐ๋ฐ˜ ์˜ํ™” ์˜์ƒ ์ปดํŒŒ์ผ ๋ฒค์น˜๋งˆํฌ ๋ฐ ๋ฉ€ํ‹ฐ์—์ด์ „ํŠธ ์‹œ์Šคํ…œ

๐Ÿ”“ Open Source

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thunderbolt

๋‹น์‹ ์ด ์ œ์–ดํ•˜๋Š” AI: ๋ชจ๋ธ์„ ์ง์ ‘ ์„ ํƒํ•˜๊ณ , ๋ฐ์ดํ„ฐ๋ฅผ ์†Œ์œ ํ•˜๋ฉฐ, ๋ฒค๋” ์ข…์†์„ฑ์„ ์ œ๊ฑฐํ•˜์„ธ์š”.

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openai-agents-python

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DeepGEMM

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Debian ๊ธฐ๋ฐ˜ Linux ๋ฐฐํฌํŒ์šฉ Claude Desktop

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rustdesk

TeamViewer์˜ ๋Œ€์•ˆ์œผ๋กœ ์„ค๊ณ„๋œ, ์ž์ฒด ํ˜ธ์ŠคํŒ…์šฉ ์˜คํ”ˆ์†Œ์Šค ์›๊ฒฉ ๋ฐ์Šคํฌํ†ฑ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜