TechPulseTelegram
โ† PrevSat, Aug 29Next โ†’

๐Ÿ’ป Tech News

View all โ†’

๐Ÿ“Š Stock

View all โ†’

๐Ÿ‡ฐ๐Ÿ‡ท ํ•œ๊ตญ ์‹œ์žฅ

KOSPI
6,788.88+123.49 (+์ƒ์Šน)
KOSDAQ
838.41+0.76 (+์ƒ์Šน)

๐Ÿ‡บ๐Ÿ‡ธ ๋ฏธ๊ตญ ์‹œ์žฅ

S&P 500
7,711.76-19.23 (-0.25%)
NASDAQ
26,402.42-138.93 (-0.52%)
DOW
53,559.99-9.41 (-0.02%)

๐Ÿ’ฑ ํ™˜์œจ

USD/KRW
1,380.501.50
JPY/KRW
862.464.65
EUR/KRW
1,599.3111.20

๐Ÿช™ ์•”ํ˜ธํ™”ํ

BTC
$77,606(โ‚ฉ106,908,275)-2.40%
ETH
$2,433(โ‚ฉ3,351,335)-2.21%

๐Ÿ”ฅ ์ƒ์Šน TOP

1.SHD
12,350+30.00%
2.๊ธˆํ˜ธ์ „๊ธฐ
10,680+29.93%
3.์ง„์–‘ํด๋ฆฌ
2,190+14.48%
4.์‹ ํ’์ œ์•ฝ
10,090+14.14%
5.์ง„์–‘ํ™”ํ•™
1,410+12.62%

๐ŸงŠ ํ•˜๋ฝ TOP

1.๋ฏธ๋ž˜์—์…‹์ƒ๋ช…
23,200-10.60%
2.SOL SKํ•˜์ด๋‹‰์Šค๋‹จ์ผ์ข…๋ชฉ๋ ˆ๋ฒ„๋ฆฌ์ง€
8,015-8.92%
3.SK๋””์•ค๋””
4,180-8.83%
4.๋ฏธ๋ž˜์—์…‹ ๋ ˆ๋ฒ„๋ฆฌ์ง€ SKํ•˜์ด๋‹‰์Šค ๋‹จ์ผ์ข…๋ชฉETN
9,570-8.73%
5.KODEX SKํ•˜์ด๋‹‰์Šค๋‹จ์ผ์ข…๋ชฉ๋ ˆ๋ฒ„๋ฆฌ์ง€
9,630-8.63%

๐Ÿ  Real Estate

View all โ†’

๐Ÿ“Š ์‹ค๊ฑฐ๋ž˜ ๋ณ€๋™ (2026-08-29)

โ–ฒ ์ƒ์Šน 564๊ฑดโ–ผ ํ•˜๋ฝ 474๊ฑด

์ƒ์Šน 564๊ฑด / ํ•˜๋ฝ 474๊ฑด

๐Ÿ“ˆ ๊ฒฝ์ œ์ง€ํ‘œ

๊ฒฝ์ œ์ง€ํ‘œ

ํ•œ๊ตญ์€ํ–‰ ๊ธฐ์ค€๊ธˆ๋ฆฌ: 3(+9.09%) / ์ฃผํƒ๋งค๋งค๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 102.586(+0.41%) / ์ฃผํƒ์ „์„ธ๊ฐ€๊ฒฉ์ง€์ˆ˜(์•„ํŒŒํŠธ): 103.253(+0.45%)

๐Ÿ† ์ธ๊ธฐ ์•„ํŒŒํŠธ ๋žญํ‚น

1.์ง€์ œ์—ญ๋ฐ˜๋„์ฒด๋ฐธ๋ฆฌํ’๊ฒฝ์ฑ„์–ด๋ฐ”๋‹ˆํ‹ฐ
2.์ฐฝ์›ํ•œ์‹ ๋”ํœด๋ฉ”๊ฐ€์„ผํ…€
3.์ƒ๋™์—ญ๋กฏ๋ฐ์บ์Šฌ์‹œ๊ทธ๋‹ˆ์ฒ˜
4.๋ณ‘์ ์—ญ์•„์ดํŒŒํฌ์บ์Šฌ
5.์˜ํ†ตํฌ๋ ˆํŒŒํฌ์›
6.๋งค๊ต์—ญํ‘ธ๋ฅด์ง€์˜คSKVIEW
7.๋งค๊ต์—ญํŒฐ๋ฃจ์‹œ๋“œ
8.๋ณ„๋‚ด์ž์ด๋”์Šคํƒ€
9.ํž์Šคํ…Œ์ดํŠธ์˜ํ†ต
10.์„ฑ๋ณต์—ญ๋กฏ๋ฐ์บ์Šฌ๊ณจ๋“œํƒ€์šด

๐Ÿ“ ์ธ๊ธฐ ์ง€์—ญ ๋žญํ‚น

1.๊ฒฝ๊ธฐ๋„ ํ‰ํƒ์‹œ
2.๊ฒฝ์ƒ๋‚จ๋„ ์ฐฝ์›์‹œ
3.๊ฒฝ๊ธฐ๋„ ๋ถ€์ฒœ์‹œ
4.๊ฒฝ๊ธฐ๋„ ํ™”์„ฑ์‹œ
5.๊ฒฝ๊ธฐ๋„ ์ˆ˜์›์‹œ
6.๊ฒฝ๊ธฐ๋„ ๋‚จ์–‘์ฃผ์‹œ
7.๊ฒฝ๊ธฐ๋„ ์šฉ์ธ์‹œ

๐Ÿข ์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์›”์„ธ ํ˜„ํ™ฉ

์ „์„ธ 618๊ฑด / ์›”์„ธ 603๊ฑด

๐Ÿ™๏ธ ์˜คํ”ผ์Šคํ…”

์˜คํ”ผ์Šคํ…” ๋งค๋งค 119๊ฑด

119๊ฑด ๊ฑฐ๋ž˜

๐Ÿ“ฐ ๋ถ€๋™์‚ฐ ๋‰ด์Šค

"๋ถ€๋™์‚ฐ ์ •์ฑ… ๋ชฉ์ ์ด ์˜ค์„ธํ›ˆ ํž˜ ๋นผ๊ธฐ์ž…๋‹ˆ๊นŒ"
์—ญ๋Œ€๊ธ‰ ์ž…์ง€ 'ํƒ„์ฒœ๋ฌผ์žฌ์ƒ์„ผํ„ฐ'์— 1.3๋งŒํ˜ธ ๊ฐ•๋‚จ ์ฃผ๋ฏผ "๊ตํ†ตยท์ง‘๊ฐ’ ๊ฑฑ์ •"
1์ˆœ์œ„ ์ฒญ์•ฝ 10๊ฑด ์ค‘ 7๊ฑด '10๋Œ€ ๊ฑด์„ค์‚ฌ'๋กœ ๊ฒฝ์Ÿ๋ฅ ๋„ 3.6๋ฐฐ ๋†’์•„
์„œ์šธ ์‹ ์ถ• ๋ฐฉ3๊ฐœ๊ฐ€ ์–ด๋–ป๊ฒŒ ์›”์„ธ 44๋งŒ์› '์ด ๋ฐฐ์šฐ'๊ฐ€ ์‚ฌ๋Š” ๋ฒ• [๋ถ€๋™์‚ฐ360]
๊ตญํ† ๋ถ€, ๊ฑด์„ค๋กœ๋ด‡ ๋ฒ•์ œํ™” ์ถ”์ง„ ๋‚ด๋…„ 15๊ฐœ ๊ธฐ์ˆ  ํ˜„์žฅ ์‹ค์ฆ
SH, ํ–‰๋ณต์ฃผํƒ 1484๊ฐ€๊ตฌ ์ž…์ฃผ์ž ๋ชจ์ง‘ ๋‚ด๋‹ฌ 9์ผ๋ถ€ํ„ฐ ์ฒญ์•ฝ [์ฝ”์ฃผ๋ถ€]
"๋งค๋ฌผ ์ž ๊ธฐ๊ณ  ๋งค์ˆ˜๋Š” ๋ˆˆ์น˜" ํ˜ธ๊ฐ€๋งŒ ๋“ค์ฉ์ธ ์ธ์ฒœ ์„ ๋„์ง€๊ตฌ [์•ˆ๋‹ค์†œ์˜ ๋ด„]
"20์–ต ์ง‘ ์žˆ์–ด๋„ ์“ธ ๋ˆ์ด ์—†์–ด์š”" 61์„ธ ์€ํ‡ด ๋ถ€๋ถ€์˜ '์ž์‚ฐ ๋ฆฌ๋ชจ๋ธ๋ง' ์ „๋žต [์ž˜์‚ด์•„๋ณด์„ธ]
์„œ์šธ '๊ตญํ‰' 13์–ต๋Œ€ ์‹ ์ถ•์— 1112๋ช… ๋ชฐ๋ ธ๋‹ค ์ตœ๊ณ  240๋Œ€ 1
"1์ฐจ์„œ ๋งˆ๊ฐ๋  ์ค„ ๋ชฐ๋ž์–ด์š”".์ค‘๊ฐœ์‚ฌ๋“ค๋„ ๋†€๋ž€ ์ธ๊ธฐ [๊ถŒ์ค€ํ˜ธ์˜ ์š”ยท์•„ยท์ •]
์„œ์šธ ๋นŒ๋ผ๊ฐ’, ๋‘ ๋‹ฌ์งธ ์•„ํŒŒํŠธ๋ณด๋‹ค ๋” ๋›ฐ์—ˆ๋‹ค ๊ฑฐ๋ž˜์•ก๋„ 5์กฐ์› ์œก๋ฐ•
๋ณด์œ ๋งŒ ํ•ด๋„ ์ตœ๋Œ€ 70% ๊นŽ์•„์ค€๋‹ค ๊ฐ•๋‚จ ๋“ค์ฉ์ด๊ฒŒ ํ•œ ํŒŒ๊ฒฉํ˜œํƒ [์•ˆ์žฅ์›์˜ ๋ถ€๋™์‚ฐ ๋…ธํŠธ]
๋‚ด์ฃผ ์ธ์ฒœ ์‹œํ‹ฐ์˜ค์”จ์—˜9๋‹จ์ง€์˜ค์…˜ํŒŒํฌ๋ทฐ ๋“ฑ 3์ฒœ713๊ฐ€๊ตฌ ๋ถ„์–‘
"1์ฃผํƒ ๊ฑฐ์ฃผยท๋น„๊ฑฐ์ฃผ ์ฐจ๋“ฑ ๊ณผ์„ธ๋Š” ์œ„ํ—˜ํ•œ ์‚ฌํšŒ ์‹คํ—˜" ์ „์›”์„ธ ๋Œ€๋ž€ยท์ค‘์ €๊ฐ€ ์ ๋ฆผ ๋ถ€๋ฅธ๋‹ค
50์‚ด ์•„ํŒŒํŠธ๊ฐ€ 25์–ต ๊ท€ํ•œ ์šฉ์‚ฐ ํ•œ๊ฐ•๋ณ€์„œ ๋ณ€์‹  ์ดˆ์ฝ๊ธฐ
'์Šน๊ฐ ๋ฐ˜ํ† ๋ง‰' ๋ฒ„์Šค ์˜ฌ๋ฆฌ๊ณ , '๋นš 22์กฐ' KTX ๋‚ด๋ฆฌ๊ณ  ์—‡๊ฐˆ๋ฆฐ ์š”๊ธˆ, ์™œ
๋ฉˆ์ถ”์ง€ ์•Š๋Š” ์ˆ˜๋„๊ถŒ ์•„ํŒŒํŠธ๊ฐ’โ€ฆ 8์›” 4์ฃผ ๋งค๋งคยท์ „์„ธ ๋™๋ฐ˜ ์ƒ์Šนํ•œ๊ตญ์ฃผํƒ๊ฒฝ์ œ์‹ ๋ฌธ
[8์›” 4์ฃผ] ๋Œ€์ „ ์•„ํŒŒํŠธ๊ฐ’ ์ƒ์Šน...์„ธ์ข…ยท์ถฉ๋‚จ์€ ๋ณดํ•ฉ์ถฉ๋‚จ์ผ๋ณด
ํ•ด์šด๋Œ€ ์•„ํŒŒํŠธ ๋‹จํ†ก๋ฐฉ์„œ ์ง‘๊ฐ’ ๋‹ดํ•ฉ ์œ ๋„ํ•œ ์ž…์ฃผ๋ฏผ ๊ฒ€์ฐฐ ์†ก์น˜์—ฐํ•ฉ๋‰ด์Šค
์•„ํŒŒํŠธ๊ฐ’ ๋œ€๋ฐ•์งˆ์—โ€ฆ์„œ์šธ ๋นŒ๋ผ ๊ฑฐ๋ž˜ 1์œ„ ๋™๋„ค๋„ '๋งค๋ฌผ ๊ฐ€๋ญ„'[๋ถ€๋™์‚ฐAtoZ]์•„์‹œ์•„๊ฒฝ์ œ
โ€œ์„œ์šธ ํ‰๊ท  ์•„ํŒŒํŠธ๊ฐ’ 16์–ต์› ๋ŒํŒŒโ€ฆ ๊ฐ•๋ถ๊ถŒยท๊ฒฝ๊ธฐ ๋‚จ๋ถ€ ์ƒ์Šน์„ธ ์ง€์†โ€ - ์กฐ์„ ๋น„์ฆˆChosunbiz
์„œ์šธ ์ง‘๊ฐ’ ์ƒ์Šนํญ ์ปค์กŒ์ง€๋งŒโ€ฆ๊ฐ•๋‚จยท์„œ์ดˆ 3์ฃผ์งธ ํ•˜๋ฝ์„ผ๋จธ๋‹ˆ
โ€œ์„ธ์ œ๊ฐœํŽธ ํ›„ํญํ’ ์„ธ๊ธด ์„ธ๋„คโ€ โ€ฆ ๊ฐ•๋‚จ ์ง‘๊ฐ’ โ€˜ํญ๋ฝโ€™ ์ด๋ฒˆ์—” ์ง„์งœ์ผ๊นŒ๋งค์ผ๊ฒฝ์ œ
KB๋ถ€๋™์‚ฐ "์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ ์˜ค๋ฆ„์„ธ ์†Œํญ ํ™•๋Œ€โ€ฆ๊ฐ•๋‚จ, 13์ฃผ ๋งŒ์— ๋ณดํ•ฉ"์—ฐํ•ฉ์ธํฌ๋งฅ์Šค
โ€˜์•„ํŒŒํŠธ๊ฐ’ ์ƒ์Šน๋ฅ  1์œ„โ€™โ€ฆ๊น€์ˆ™ยท์ดํ˜„์ดยท์ดํ˜œ์ •, ๋™ํƒ„ ์‹ ๋„์‹œ ๋ถ€๋™์‚ฐ ํƒ๋ฐฉ๊ธฐ ๋ˆˆ๊ธธppss.kr
์„œ์šธ/๊ฒฝ๊ธฐ ์•„ํŒŒํŠธ๊ฐ’ ์ƒ์Šน์„ธ ์ฃผ์ถคโ€ฆ ๊ฐ•๋‚จ์€ ๊ฒฐ๊ตญ ํ•˜๋ฝ ์ „ํ™˜KB Think
[์ฃผ๊ฐ„๋ถ€๋™์‚ฐ์‹œํ™ฉ] ์ „๊ตญ ์•„ํŒŒํŠธ๊ฐ’ 0.14% ์ƒ์Šนโ€ฆ์˜ค๋ฆ„์„ธ ๋‹ค์‹œ ํ™•๋Œ€์•„์‹œ์•„ํƒ€์ž„์ฆˆ
๋ถ€๋™์‚ฐ ์žก๋Š”๋‹ค๋”๋‹ˆ...์ด์žฌ๋ช… ์ •๋ถ€, ์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ 14.7% ์—ญ๋Œ€ ์ตœ๊ณ  ์ƒ์Šน์•„์ฃผ๊ฒฝ์ œ
'๋œ ๋˜˜๋˜˜ํ•œ ํ•œ ์ฑ„' ์ˆ˜์š” ๋ชฐ๋ฆฌ๋‚˜...์ง‘๊ฐ’ ๋ถˆ์•ˆ ๊ณ„์†YTN
๊ฐ™์€ ํ•œ๊ฐ•๋ทฐ์ธ๋ฐ ๊ฐ€๊ฒฉ์€ ๋ฐ˜๊ฐ’โ€ฆ"๋งค๋ฌผ ์žˆ๋‚˜์š”" ๋“ค์ฉ์ด๋Š” ๋™๋„ค [์ด์Šฌ๊ธฐ์˜ ์ƒˆ์ง‘๋‹ค์˜ค]ํ•œ๊ตญ๊ฒฝ์ œ
์„œ์šธ ์•„ํŒŒํŠธ๊ฐ’ 0.25% ์ƒ์Šนโ€ฆ ๋˜˜๋˜˜ํ•œ โ€˜์—ญ์„ธ๊ถŒยท๋Œ€๋‹จ์ง€โ€™๊ฐ€ ์ง‘๊ฐ’ ๊ฒฌ์ธํ•œ๊ตญ์ฃผํƒ๊ฒฝ์ œ์‹ ๋ฌธ

๐Ÿ—๏ธ ๋ถ„์–‘์ผ์ •

์ƒ๋™์—ญ ๋กฏ๋ฐ์บ์Šฌ ์‹œ๊ทธ๋‹ˆ์ฒ˜
์˜์ •๋ถ€์šฐ์ • A2๋ธ”๋ก ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ(๋ณธ์ฒญ์•ฝ)
์–‘์ฃผํšŒ์ฒœ์ง€๊ตฌ A-26๋ธ”๋ก ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ
ํฌ๋ ˆ๋‚˜ํž์Šคํ…Œ์ดํŠธ ์ง„์ฃผ
์Œ์šฉ ๋” ํ”Œ๋ž˜ํ‹ฐ๋„˜ ์„œ๋Œ€๋ฌธ
์•„๋ฅดํ‹ฐ์—  ๋ผ ํ…Œ๋ผ์Šค
๊ฒ€์•”์—ญ ํ‘ธ๋ฅด์ง€์˜ค ํ”„๋ผ๋ฒ ๋‰ด (B-1BL) ๊ณต๊ณต๋ถ„์–‘์ฃผํƒ
์‹œํ‹ฐ์˜ค์”จ์—˜ 9๋‹จ์ง€ ์˜ค์…˜ํŒŒํฌ๋ทฐ
๋ฌธ์ˆ˜๋ฐ์‹œ์•™2๋‹จ์ง€ ๊ณต๊ฐ€์„ธ๋Œ€ ์ผ๋ฐ˜๊ณต๊ธ‰
๋ธŒ๋ผ์šด์Šคํ†ค ์›”๊ณก ์„ผํŠธ๋Ÿด

๐Ÿค– AI Agent

View all โ†’
semantic_scholarresearch

Can your AI agent be cheaper? Investigating the effects of task specifications on token spend in agentic coding tasks

์ž‘์—… ๋ช…์„ธ ๋ฐฉ์‹์ด ์—์ด์ „ํŠธ์˜ ํ† ํฐ ์‚ฌ์šฉ๋Ÿ‰๊ณผ ๋น„์šฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ๋ถ„์„

semantic_scholarresearch

Do User-Authored Permission Policies Improve Protection Against AI Agent Overreach?

์‚ฌ์šฉ์ž ์ •์˜ ๊ถŒํ•œ ์ •์ฑ…์ด ์—์ด์ „ํŠธ์˜ ๊ณผ๋„ํ•œ ์‹œ์Šคํ…œ ์ ‘๊ทผ ์ œ์–ด์— ํšจ๊ณผ์ ์ธ์ง€ ๊ฒ€์ฆ

semantic_scholarresearch

Risks and Controls for Multi-Agent Systems: an analytical framework for deployment of AI agents across organisational boundaries

์กฐ์ง ๊ฐ„ ์—์ด์ „ํŠธ ์ƒํ˜ธ์ž‘์šฉ ์‹œ ๋ฐœ์ƒํ•˜๋Š” ์œ„ํ—˜ ์š”์†Œ์™€ ์ œ์–ด ํ”„๋ ˆ์ž„์›Œํฌ

semantic_scholarresearch

Cost-Utility Alignment in LLM Agent Trajectories:Profiling,Attribution,Diagnosis,Adaptation,and Evaluation

์—์ด์ „ํŠธ ์‹คํ–‰ ๊ฒฝ๋กœ์˜ ํ† ํฐ, ์ง€์—ฐ, ๋น„์šฉ ๋Œ€๋น„ ํšจ์šฉ์„ ์ข…ํ•ฉ ํ‰๊ฐ€ํ•˜๋Š” ํ”„๋ ˆ์ž„์›Œํฌ

semantic_scholarresearch

Right-Sizing LLM-Agent Decomposition in VAT Determination: A Pilot Controlled Sweep

์—์ด์ „ํŠธ ๋ถ„ํ•ด(๋‹ค์ค‘ ์ข์€ ์—์ด์ „ํŠธ) vs ํ†ตํ•ฉ(๋‹จ์ผ ๊ฐ•๋ ฅ ์—์ด์ „ํŠธ) ์„ค๊ณ„ ์„ฑ๋Šฅ ๋น„๊ต

๐Ÿ”“ Open Source

View all โ†’