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๐Ÿ’ป Tech News

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hackernewsdev

Fields Medal Video: Maryna Viazovska

Fields Medal Video: Maryna Viazovska

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hackernewsdev

Zindex โ€“ Diagram Infrastructure for Agents

Zindex โ€“ Diagram Infrastructure for Agents

2
geeknewsdev

Tesla๊ฐ€ ์ž์œจ์ฃผํ–‰ ์‹œํ—˜์„ ๊ณ„์†ํ•˜๊ธฐ ์œ„ํ•ด ์น˜๋ช…์  ์‚ฌ๊ณ ๋ฅผ ์ˆจ๊น€

Tesla๊ฐ€ ์ž์œจ์ฃผํ–‰ ์‹œํ—˜์„ ๊ณ„์†ํ•˜๊ธฐ ์œ„ํ•ด ์น˜๋ช…์  ์‚ฌ๊ณ ๋ฅผ ์ˆจ๊น€

2
geeknewsai

AI ๋ ˆ์ง€์Šคํƒ•์Šค๊ฐ€ ์„ฑ์žฅ์ค‘

AI ๋ ˆ์ง€์Šคํƒ•์Šค๊ฐ€ ์„ฑ์žฅ์ค‘

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geeknewsai

Deezer๋Š” ์ž์‚ฌ ํ”Œ๋žซํผ์— ๋งค์ผ ์—…๋กœ๋“œ๋˜๋Š” ๊ณก์˜ 44%๊ฐ€ AI ์ƒ์„ฑ์ด๋ผ๊ณ  ๋ฐํž˜

Deezer๋Š” ์ž์‚ฌ ํ”Œ๋žซํผ์— ๋งค์ผ ์—…๋กœ๋“œ๋˜๋Š” ๊ณก์˜ 44%๊ฐ€ AI ์ƒ์„ฑ์ด๋ผ๊ณ  ๋ฐํž˜

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๐Ÿ“Š Stock

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๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ ์‹œ์žฅ

KOSPI
6,417.93+29.46 (+์ƒ์Šน)
KOSDAQ
1,181.12+2.09 (+์ƒ์Šน)

๐Ÿ‡บ๐Ÿ‡ธ ๋ฏธ๊ตญ ์‹œ์žฅ

S&P 500
7,064.01-45.13 (-0.63%)
NASDAQ
24,259.97-144.43 (-0.59%)
DOW
49,149.38-293.18 (-0.59%)

๐Ÿ’ฑ ํ™˜์œจ

USD/KRW
1,477.404.60
JPY/KRW
927.172.65
EUR/KRW
1,736.463.41

๐Ÿช™ ์•”ํ˜ธํ™”ํ

BTC
$78,053(โ‚ฉ115,286,590)+2.11%
ETH
$2,388(โ‚ฉ3,527,331)+2.84%

๐Ÿ”ฅ ์ƒ์Šน TOP

1.KEC
1,843+29.97%
2.DS๋‹จ์„
26,250+29.95%
3.์• ๊ฒฝ์ผ€๋ฏธ์นผ
19,100+24.35%
4.OCI
121,400+23.63%
5.์‚ผ์•„์•Œ๋ฏธ๋Š„
71,300+21.88%

๐ŸงŠ ํ•˜๋ฝ TOP

1.์ง„์›์ƒ๋ช…๊ณผํ•™
1,139-15.38%
2.STX๊ทธ๋ฆฐ๋กœ์ง€์Šค
5,200-13.19%
3.ํ‚ค์›€ ์ธ๋ฒ„์Šค 2X K๋ฐฉ์‚ฐ TOP5 ETN
5,380-9.27%
4.ํ•˜๋‚˜ ์ธ๋ฒ„์Šค 2X K๋ฐฉ์‚ฐTOP10 ETN
5,855-8.87%
5.๋ฏธ๋ž˜์—์…‹ ๋ ˆ๋ฒ„๋ฆฌ์ง€ ๋ฏธ๊ตญ ๋ฐฉ์œ„์‚ฐ์—… TOP3 ETN
42,205-7.93%

๐Ÿ  Real Estate

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๐Ÿ“Š ์‹ค๊ฑฐ๋ž˜ ๋ณ€๋™ (2026-04-21)

โ–ฒ ์ƒ์Šน 1,534๊ฑดโ–ผ ํ•˜๋ฝ 1,433๊ฑด

์ƒ์Šน 1,534๊ฑด / ํ•˜๋ฝ 1,433๊ฑด

๐Ÿ“ˆ ๊ฒฝ์ œ์ง€ํ‘œ

๊ฒฝ์ œ์ง€ํ‘œ

ํ•œ๊ตญ์€ํ–‰ ๊ธฐ์ค€๊ธˆ๋ฆฌ: 2.5(+0.00%) / ์ฃผํƒ๋งค๋งค๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 100.843(+0.44%) / ์ฃผํƒ์ „์„ธ๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 100.807(+0.43%)

๐Ÿ† ์ธ๊ธฐ ์•„ํŒŒํŠธ ๋žญํ‚น

1.๋ผํด๋ผ์ฒด์ž์ด๋“œํŒŒ์ธ
2.์˜ฌ๋ฆผํ”ฝํŒŒํฌํฌ๋ ˆ์˜จ
3.์˜ฅ์ •์ค‘์•™์—ญ๋Œ€๋ฐฉ๋””์—ํŠธ๋ฅด
4.๊ณต๋•์—ญ์ž์ด๋ฅด๋„ค
5.๋ž˜๋ฏธ์•ˆ์—˜๋ผ๋น„๋„ค
6.์ง€์ œ์—ญ๋ฐ˜๋„์ฒด๋ฐธ๋ฆฌํ’๊ฒฝ์ฑ„์–ด๋ฐ”๋‹ˆํ‹ฐ
7.์ž์—ฐ์•คํž์Šคํ…Œ์ดํŠธ
8.์„ฑ๋ณต์—ญ๋กฏ๋ฐ์บ์Šฌ๊ณจ๋“œํƒ€์šด
9.ํ—ฌ๋ฆฌ์˜ค์‹œํ‹ฐ
10.์˜คํ‹ฐ์—๋ฅด๋ฐ˜ํฌ

๐Ÿ“ ์ธ๊ธฐ ์ง€์—ญ ๋žญํ‚น

1.์„œ์šธํŠน๋ณ„์‹œ ๋™์ž‘๊ตฌ
2.์„œ์šธํŠน๋ณ„์‹œ ๊ฐ•๋™๊ตฌ
3.๊ฒฝ๊ธฐ๋„ ์–‘์ฃผ์‹œ
4.์„œ์šธํŠน๋ณ„์‹œ ๋งˆํฌ๊ตฌ
5.์„œ์šธํŠน๋ณ„์‹œ ๊ฐ•์„œ๊ตฌ
6.๊ฒฝ๊ธฐ๋„ ํ‰ํƒ์‹œ
7.๊ฒฝ๊ธฐ๋„ ์ˆ˜์›์‹œ
8.๊ฒฝ๊ธฐ๋„ ์šฉ์ธ์‹œ
9.์„œ์šธํŠน๋ณ„์‹œ ์†กํŒŒ๊ตฌ
10.์„œ์šธํŠน๋ณ„์‹œ ์„œ์ดˆ๊ตฌ

๐Ÿข ์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์„ธ 737๊ฑด / ์›”์„ธ 668๊ฑด

๐Ÿ™๏ธ ์˜คํ”ผ์Šคํ…”

์˜คํ”ผ์Šคํ…” ๋งค๋งค 126๊ฑด

126๊ฑด ๊ฑฐ๋ž˜

๐Ÿ“ฐ ๋ถ€๋™์‚ฐ ๋‰ด์Šค

๊ณต๊ณต์ฒญ์‚ฌ ๊ฐœ๋ฐœ ๋น—์žฅ ํ‘ผ๋‹ค 30๋…„ ๋ฏธ๋งŒ๋„ ํ—ˆ์šฉ
"๋ง์„ค์ด๋‹ค 1์–ต ๋›ฐ์—ˆ๋‹ค" ์„œ์šธ ์ „์„ธ, ๊ฒฐ๊ตญ '์†๋„'๊ฐ€ ๊ฐˆ๋ž๋‹ค
, ๋ณด์œ ์„ธ ์นด๋“œ ๋งŒ์ง€์ž‘ ์†์‰ฌ์šด ๊ณต์ •๋น„์œจ ์กฐ์ • ๋จผ์ € ๊ฒ€ํ† 
๋‹ค์ฃผํƒ์ž ์žก์œผ๋ ค๋‹ค ์‚ฌ๋ผ์ง„ ์ „์„ธ, ์น˜์†Ÿ๋Š” ์›”์„ธ
๋‚ด๋…„ 5์›”, ์„œ์šธ ์ฐฝ๋™ 'KํŒ ์ƒˆ ์„ฑ์ง€'๋กœ ๋ณ€์‹ 
[์‚ฌ์„ค] ์•„์ง ๋ถˆ์•ˆํ•œ ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’, ๋ถ€๋™์‚ฐ ๋Œ€์ฑ… ๋ฐฉ์‹ฌ ๋ง์•„์•ผํ•œ๊ฒจ๋ ˆ
"์›”์„ธ๋ผ๋„ ์•Œ์•„๋ณผ๊นŒ ํ–ˆ๋Š”๋ฐ ์ด๋Ÿด์ค„์€"โ€ฆ์ด์‚ฌ๊ฐ€๋ ค๋‹ค 'ํ•œ์ˆจ'ํ•œ๊ตญ๊ฒฝ์ œ
์ดˆ๊ณ ๊ฐ€ ์•„ํŒŒํŠธ๊ฐ’ ๊บพ์ด์žโ€ฆ์„œ์šธ ๋ถ€๋™์‚ฐ ์–‘๊ทนํ™” ์™„ํ™”v.daum.net
์„œ์šธ ์•„ํŒŒํŠธ "๋น„์‹ธ๋„ ์™„ํŒ"...์ด์ œ๋Š” ๋‚ด๋ฆด ์ˆ˜ ์—†๋Š” ๊ฐ€๊ฒฉ[์†๋ฐ”๋‹ฅ๋ถ€๋™์‚ฐ]์ด๋ฐ์ผ๋ฆฌ
์ง€์—ญ ์‹œ์„ธ ์ฃผ๋„ํ•˜๋Š” ๋žœ๋“œ๋งˆํฌ ์•„ํŒŒํŠธ... ์ตœ๊ณ  39์ธต 'ํž์Šคํ…Œ์ดํŠธ ๊ตฌ์›”์•„ํŠธํŒŒํฌ' ๊ณต๊ธ‰ ์˜ˆ๊ณ ๋ฆฌ์–ผ์บ์ŠคํŠธ
[์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
์„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
[์†๋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
์„ธ์ข…์‹œ ์•„ํŒŒํŠธ ๋งค๋งค-์ „์„ธ๊ฐ€๊ฒฉ '๊ณ ๊ณตํ–‰์ง„'์„ธ์ข…์˜์†Œ๋ฆฌ
๊ฒฐ๊ตญ '๋ฌธ ์ง‘๊ฐ’' ๋„˜์—ˆ๋‹คโ€ฆ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’, 19๋…„๋งŒ์— ์ตœ๊ณ ์น˜ ์ƒ์Šน์ค‘์•™์ผ๋ณด
์ˆœ์‹๊ฐ„์— 1์–ต โ€˜์‘ฅโ€™...์ง‘์ฃผ์ธ ๋“ค์ฉ [๊น€๊ฒฝ๋ฏผ์˜ ๋ถ€๋™์‚ฐNOW]v.daum.net
์ƒ์Šน? ๋‘”ํ™”? ์ง‘๊ฐ’ ์ฃผ๊ฐ„ ํ†ต๊ณ„ ์ œ๊ฐ๊ฐโ€ฆ์‹ค์ˆ˜์š”์ž ํ˜ผ๋ž€๋งŒ ํ‚ค์›Œํ•œ๊ตญ๊ฒฝ์ œ
์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
[๊ธฐ์šธ์–ด์ง„ ๋‚˜๋ผ โ‘ ] ์••๊ตฌ์ • 5๋ฐฐ ๋  ๋•Œ ๋ถ€์‚ฐ์€ 2๋ฐฐโ€ฆโ€˜๋Œ€์žฅ ์•„ํŒŒํŠธโ€™ ๊ฐ’์ด ๋งํ•˜๋Š” ์–‘๊ทนํ™”์ฃผ๊ฐ„๊ฒฝํ–ฅ

๐Ÿ—๏ธ ๋ถ„์–‘์ผ์ •

๋™ํƒ„ ๊ทธ์›ฌ 160 (๋™ํƒ„2 B11BL)
์šฉ์ธ ์–‘์ง€ ์„œํฌ์Šคํƒ€ํž์Šค ํ•˜์ด๋ทฐ
๋ฌธ์ˆ˜๋กœ ๋ผํ‹ฐ์—๋ฅด 673
๋‘์‚ฐ์œ„๋ธŒ๋”์ œ๋‹ˆ์Šค ๊ตฌ๋ฏธ(์กฐํ•ฉ์›์ทจ์†Œ๋ถ„)
๊ณต๋•์—ญ์ž์ด๋ฅด๋„ค
๊ฐ•๋ฆ‰ ์šฐ๋ฏธ ๋ฆฐ ๋” ํ”„๋ฆฌ๋ฏธ์–ด
๊ณ ๋•์‹ ๋„์‹œ ์•„ํ…Œ๋ผ A-63๋ธ”๋ก ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ
๊ฒฝ๊ธฐ๊ด‘์ฃผ์—ญ ๋กฏ๋ฐ์บ์Šฌ ์‹œ๊ทธ๋‹ˆ์ฒ˜ 1๋‹จ์ง€
์ธ์ฒœ๊ฐ€์ •2์ง€๊ตฌ B2๋ธ”๋ก ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ(ํ›„์†์‚ฌ์—…)
PH159

๐Ÿค– AI Agent

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semantic_scholarresearch

CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations

CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations

semantic_scholarresearch

GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0)

GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0)

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Coalition Formation in LLM Agent Networks: Stability Analysis and Convergence Guarantees

Coalition Formation in LLM Agent Networks: Stability Analysis and Convergence Guarantees

semantic_scholarresearch

AgenTEE: Confidential LLM Agent Execution on Edge Devices

AgenTEE: Confidential LLM Agent Execution on Edge Devices

semantic_scholarresearch

Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration

Graph-of-Agents: A Graph-based Framework for Multi-Agent LLM Collaboration

๐Ÿ”“ Open Source

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github-trendingAI

claude-context

Claude Code์— ๋Œ€ํ•œ ์ฝ”๋“œ ๊ฒ€์ƒ‰ MCP์ž…๋‹ˆ๋‹ค. ์ „์ฒด ์ฝ”๋“œ๋ฒ ์ด์Šค๋ฅผ ๋ชจ๋“  ์ฝ”๋”ฉ ์—์ด์ „ํŠธ์˜ ์ปจํ…์ŠคํŠธ๋กœ ๋งŒ๋“ญ๋‹ˆ๋‹ค.

github-trendingAI

ai-agents-for-beginners

AI ์—์ด์ „ํŠธ ๊ตฌ์ถ•์„ ์‹œ์ž‘ํ•˜๊ธฐ ์œ„ํ•œ 12๊ฐ€์ง€ ๊ฐ•์˜

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YTLite

iOS์˜ YouTube๋ฅผ ์œ„ํ•œ ์œ ์—ฐํ•œ ๊ฐ•ํ™” ๋„๊ตฌ

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RAG-Anything

"RAG-Anything: ์˜ฌ์ธ์› RAG ํ”„๋ ˆ์ž„์›Œํฌ"

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TrendRadar

โญ๋‹ค์ค‘ ํ”Œ๋žซํผ ์ง‘๊ณ„, RSS ๋ฐ ์Šค๋งˆํŠธ ์•Œ๋ฆผ์„ ๊ฐ–์ถ˜ AI ๊ธฐ๋ฐ˜ ์—ฌ๋ก  ๋ฐ ์ถ”์„ธ ๋ชจ๋‹ˆํ„ฐ.๐ŸŽฏ ๅ‘Šๅˆซไฟกๆฏ่ฟ‡่ฝฝ๏ผŒไฝ tive AI ่ˆ†ๆƒ…็›‘ๆŽงๅŠฉๆ‰‹ไธŽ็ƒญ็‚น็ญ›้€‰ๅทฅๅ…ท๏ผ่šํ•ฉ๋‹คํ‰ๅฐ็ƒญ็‚น + RSS AI ๆ™บ่ƒฝ็ญ›้€‰ๆ–ฐ้—ป + AI ็ฟป่ฏ‘ + AI ๅˆ†ๆž็ฎ€ๆŠฅ็›ดๆŽจๆ‰‹ๆœบ,ไนŸๆ”ฏๆŒๆŽฅๅ…ฅ MCP ๆžถๆž„๏ผŒ่ต‹่ƒฝAI ์ž์ฒด ๊ธฐ๋Šฅ์€ ๆƒ…ๆ„ŸๆดžๅฏŸไธŽ่ถ‹ๅŠฟ้ข„ๆต‹็ญ‰ใ€‚ๆ”ฏๆŒ Docker ๏ผŒๆ•ฐๆฎๆœฌๅœฐ/ไบ‘็ซฏ่‡ชๆŒใ€‚้›†ๆˆๅพฎไฟก/้ฃžไนฆ/้’‰้’‰/Telegram/้‚ฎไปถ/ntfy/bark/slack ็ญ‰ๆธ ้“ๆ™บ่ƒฝๆŽจ้€ใ€‚