{"id":6450,"date":"2025-09-22T05:25:18","date_gmt":"2025-09-21T20:25:18","guid":{"rendered":"https:\/\/itjaeneungnanum.org\/?p=6450"},"modified":"2025-09-22T05:25:18","modified_gmt":"2025-09-21T20:25:18","slug":"2025-09-22-%ec%9d%b4%ec%a3%bc%ec%9d%98-%ec%9d%b8%ea%b3%b5%ec%a7%80%eb%8a%a5_%ec%b6%94%eb%a1%a0-%ec%9c%a0%ed%8a%9c%eb%b8%8c","status":"publish","type":"post","link":"https:\/\/itjaeneungnanum.org\/?p=6450","title":{"rendered":"2025-09-22 \uc774\uc8fc\uc758 \uc778\uacf5\uc9c0\ub2a5_\ucd94\ub860 \uc720\ud29c\ube0c"},"content":{"rendered":"

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\uc778\uacf5\uc9c0\ub2a5_\ucd94\ub860 \uc720\ud29c\ube0c 2025-09-22<\/h3>\n
[\uc804\uc778\uad6c\uacbd\uc81c\uc5f0\uad6c\uc18c] AI \ubbf8\ub798\ub294 \uc790\ub3d9 \ucd94\ub860\uc5d0 \ub2ec\ub838\uc2b5\ub2c8\ub2e4.(ft. \uc2a4\ud0e0\ud3ec\ub4dc \ud074\ub77d \ubc30\ub7ff \uad50\uc218)<\/a>
[\uc5d0\uc2a4\uc624\ub514 SOD] "\uc2dc\uc7a5\uaddc\ubaa8 1\uacbd \ub2ec\ub7ec".. 100\ubc30 \ube60\ub978 \uc5ed\ub300\uae09 AI \ub4f1\uc7a5, \ub9c8\uce68\ub0b4 \uad6d\ub0b4 \uc5f0\uad6c\uc9c4 \uac1c\ubc1c \uc131\uacf5 \u3137\u3137<\/a>
[NIA AI Hub] [25\ub144 2\ucc28 \ud1b5\ud569 \ud488\uc9c8\uad00\ub9ac \uad50\uc721] 4. \ucd94\ub860\ud615 AI \ud488\uc9c8\uad00\ub9ac \ubc29\uc548<\/a>
[\ub178\uba38\ub2c8\ub178\ud574\ube10TV] AI \ud559\uc2b5 \ub05d! \ucd94\ub860\uc740 Broadcom\uc774 \uc7a1\ub294\ub2e4<\/a>
[\uc544\ud558! \uc9c0\uc2dd\uc744 \uae68\ub2eb\ub294 \uc21c\uac04] AI \ubcf4\uc2a4\uac00 \ub418\ub294 \uc21c\uac04\u2026 \ub2f9\uc2e0\uc758 \ub2a5\ub825\uc740 10\ubc30 \ud3ed\ubc1c\ud55c\ub2e4! \/ \uc5d0\uc774\uc804\ud2b8AI \uc2dc\ub300 \uc131\uacf5\ud558\ub294 \ubc95\u3163\uae40\ub355\uc9c4 \uc18c\uc7a5<\/a>
[\uc11c\uc6b8\uacbd\uc81cTV] AI \ub370\uc774\ud130 \ud3ed\uc99d\uc5d0 HDD \ubd80\uc871\u2026SSD \uac00\uaca9 \uc624\ub978\ub2e4<\/a>
[NHN Cloud] [\uadf8\ub798\uc11c\uc501\ub2c8\ub2e4] \ub04a\uae40 \uc5c6\ub294 AI \ud559\uc2b5, \uadf8 \uc228\uc740 \ube44\uacb0<\/a>
[\ubd93\ub2e4 \ube45\ud018\uc2a4\ucc9c] \ub2f9\uc2e0\uc774 \ubcf8 \uac83\uc740 \uc9c4\uc9dc\uac00 \uc544\ub2c8\ub2e4, AI \uc2dc\ub300\uc758 \ucc29\uac01 [\uc790\ud604\uc2a4\ub2d8, \uc778\uacf5\uc9c0\ub2a5 \uc2dc\ub300\uc758 \ubd88\uad50]<\/a>
[\uc5d0\uc2a4\uc624\ub514 SOD] "\uc0ac\ub78c\ub4e4\uc740 \uc544\uc9c1 \ubaa8\ub978\ub2e4".. \uc774\ub798\uc11c \ud55c\uad6d\uc5d0 \ub6f0\uc5b4\ub4e4\uc5c8\uad6c\ub098;; \uc624\ud508AI \uc9c4\uc9dc \ubb34\uc12d\ub124 \u3137\u3137<\/a>
[\uc815\ud718\ubaa8] AI\uac00 \uc778\uac04 \ucf54\ub354\ub97c \uc774\uacbc\ub2e4! 2025 ICPC \ub300\ud68c\uc5d0\uc11c \uc0c8\ub85c\uc6b4 AI \ucc54\ud53c\uc5b8 \ub4f1\uc7a5<\/a>
[\ubaa8\ube4c\ub780\ud2b8 – MOBILANT] \ud734\uba3c VS \ub85c\ubd07 AI \uc790\uc804\uac70<\/a>
[\ud56bIT\uc288] ChatGPT \ub2e4\uc74c\uc740 \uc774\uac83? \uba40\ud2f0\ubaa8\ub2ec AI\uac00 \ub2f9\uc2e0\uc758 \uc0b6\uc744 \ubc14\uafc0 3\uac00\uc9c0 \ubc29\ubc95<\/a>
[\ud55c\uad6d\uc9c1\uc5c5\ub2a5\ub825\uc9c4\ud765\uc6d0] AI\ub85c \ub9c8\ucf00\ud305\ud558\ub294 \uc2dc\ub300, AI\ub9c8\ucf00\ud305 \ub098\ub3c4 \ud560 \uc218 \uc788\uc744\uae4c? (\ucc57GPT \ud65c\uc6a9\ubd80\ud130 AI\ucf58\ud150\uce20\uae4c\uc9c0 \ubb34\ub8cc\ub85c \ubc30\uc6b0\ub294 \ubc29\ubc95)<\/a>
[\uc870\ucf54\ub529 JoCoding] AI\ub274\uc2a4 – \uc0c8\ub85c\uc6b4 \uc774\ubbf8\uc9c0 1\ub4f1, MCP \uc9c0\uc6d0\ud558\ub294 ChatGPT \uac1c\ubc1c\uc790 \ubaa8\ub4dc, \ud074\ub85c\ub4dc \uc5d1\uc140\u00b7PPT \uc0dd\uc131, Veo 3 \uc5c5\ub370\uc774\ud2b8 \ub4f1<\/a>
[NIA AI Hub] 2025\ub144 2\ucc28 \ucd08\uac70\ub300 AI \ub370\uc774\ud130 \ud1b5\ud569 \ud488\uc9c8\uad00\ub9ac \uad50\uc721[\ud1b5\ud569\ubcf8]<\/a>
[\uc774\ub370\uc77c\ub9acTV] \ud4e8\ub9ac\uc624\uc0acAI \ud611\ub825 ‘\uc640\uc774\uc988\ub11b’… B2B \uc2dc\uc7a5 \uacf5\ub7b5 #\uc640\uc774\uc988\ub11b #\ud4e8\ub9ac\uc624\uc0ac #AI #LMM (20250917)<\/a>
[\ub5a1\uc0c1\uc5f0\uad6c\uc18c] \uc694\uc998 \ub098\uc628 \ucc57\uc9c0\ud53c\ud2f0\ubcf4\ub2e4 \ub6f0\uc5b4\ub09c \ubb34\ub8ccAI ?! #\ucc57\uc9c0\ud53c\ud2f0 #\ucc57gpt<\/a>
[\uba38\uc2a4\ud06c\ud1a1\ud1a1] (9\/18) \uc77c\ub860 \uba38\uc2a4\ud06c, xAI Grok5\ub85c AGI \uac00\ub2a5\uc131 \uc5b8\uae09! \ud83d\ude80 AI \ubbf8\ub798\ub294 \uc5b4\ub514\ub85c?<\/a>
[\ub17c\uc900\ubaa8\uc5f0\uad6c\uc18c] AI~ \uc5f0\uad6c\uc5d0 \uc5b4\ub5bb\uac8c \uc5b4\ub290 \uc218\uc900\uc73c\ub85c \uc0ac\uc6a9\ud574\uc57c \ud558\ub098<\/a>
[\ub9dd\uace0\uc2a4\ud0a4] \ud55c\uad6d\ud615 AI \uae30\uc220\uc758 \ud604\uc8fc\uc18c<\/a>
[\uc778\uc0dd\uc774\uc57c\uae30 \ub77c\ub514\uc624] \uc5ed\uc0ac\ub97c \ubc14\uafc0 \uae30\uc220 TOP 5<\/a>
[MetaTube] Sherlockian~ \uc81c2\uc7a5 \uc791\ud488 \uc18d \ucd94\ub860\ubc95 2. ‘\ub124 \uc0ac\ub78c\uc758 \uc11c\uba85’ – 02. \uc0ac\uac74\uc758 \uac1c\uc694 #\uc15c\ub85d\ud648\uc988 #\ucd94\ub9ac #\uc778\uacf5\uc9c0\ub2a5 #\ub17c\ub9ac<\/a>
[MOBILINT] \uc778\uacf5\uc9c0\ub2a5\uc5d0\uac8c \uc0ac\uc9c4\uc744 \ubcf4\uc5ec\uc8fc\uba70 \uc124\uba85\uc744 \uc694\uccad\ud558\uba74? #\uc5e3\uc9c0AI<\/a>
[MattVidPro AI] Ray 3: The First Reasoning Video AI (HDR, Physics, Consistency)<\/a>
[\uc804\uc778\uad6c\uacbd\uc81c\uc5f0\uad6c\uc18c] AI \ubbf8\ub798\ub294 \uc790\ub3d9 \ucd94\ub860\uc5d0 \ub2ec\ub838\uc2b5\ub2c8\ub2e4.(ft. \uc2a4\ud0e0\ud3ec\ub4dc \ud074\ub77d \ubc30\ub7ff \uad50\uc218)<\/a>
[NeoTech-Lens] Google Mangle Explained: The Most Powerful AI Reasoning Language Ever<\/a>
[SHRM] How Reasoning AI Will Transform Decisions, Teams, and Strategy | Tomorrowist<\/a>
[Luma AI] Luma AI – This is Ray3<\/a>
[AI Frontiers] AI Frontiers: Autonomous Agents & Table Reasoning Breakthroughs – September 8, 2025<\/a>
[AI and Machine Learning Explained] How Do You Explain AI Reasoning With Knowledge Representation? – AI and Machine Learning Explained<\/a>
[Magic Data] \ud83e\udd16 AI Reasoning? It\u2019s Just \u201cImitating\u201d Humans!<\/a>
[Software Testing Mentor] Chain-of-Thought Prompting Explained | Boost AI Reasoning with Step-by-Step Thinking<\/a>
[Mind2Code] The Future of AI: Reasoning Models, Agentic AI, and What it Means for Society<\/a>
[wisdom.ai_] The Rise of Reasoning Models:- Top AI Research of 2025 (So Far)<\/a>
[AI Revolution] AI Just Solved a 100 Year Old Million Dollar Science Mystery<\/a>
[AI Unlocked X] Meet \u201cBig Brain\u201d: Grok\u2019s Enhanced AI Mode! \ud83e\udde0\u26a1<\/a>
[Wes Roth] OpenAI just beat Google<\/a>
[g Fun Facts online] The Science of Self-Reasoning AI: Inside the DeepSeek-R1 Model<\/a>
[Discover AI] AI Reasons without Language #stanford #vision<\/a>
[Codevolution] Next.js AI SDK Tutorial – 25 – Reasoning<\/a>
[Wes Roth] Grok 4 Fast doesn’t make any sense<\/a>
[AI Frontiers] AI Breakthroughs Sep 9, 2025: Autonomous Coding, Physics Reasoning & Agentic AI<\/a>
[Discover AI] Qwen3 NEXT A3B for Reasoning and MCP Tools?<\/a>
[theworldhow] Luma AI Ray 3 | First Reasoning Video Model with Studio Grade HDR Draft Mode Physics Consistency<\/a>
[Skill Destiny] Luma Ray 3: The Most ADVANCED AI Video Model? (Honest Review & Test)<\/a>
[NeoTech-Lens] Google Mangle: The Most Powerful AI Reasoning Language Ever! \ud83d\ude80<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\uc778\uacf5\uc9c0\ub2a5_\ucd94\ub860 \uc720\ud29c\ube0c 2025-09-22 [\uc804\uc778\uad6c\uacbd\uc81c\uc5f0\uad6c\uc18c] AI \ubbf8\ub798\ub294 \uc790\ub3d9 \ucd94\ub860\uc5d0 \ub2ec\ub838\uc2b5\ub2c8\ub2e4.(ft. \uc2a4\ud0e0\ud3ec\ub4dc \ud074\ub77d \ubc30\ub7ff \uad50\uc218)[\uc5d0\uc2a4\uc624\ub514 SOD] "\uc2dc\uc7a5\uaddc\ubaa8 1\uacbd \ub2ec\ub7ec".. 100\ubc30 \ube60\ub978 \uc5ed\ub300\uae09 AI \ub4f1\uc7a5, \ub9c8\uce68\ub0b4 \uad6d\ub0b4 \uc5f0\uad6c\uc9c4 \uac1c\ubc1c \uc131\uacf5 \u3137\u3137[NIA AI Hub] [25\ub144 2\ucc28 \ud1b5\ud569 \ud488\uc9c8\uad00\ub9ac \uad50\uc721] 4. \ucd94\ub860\ud615 AI \ud488\uc9c8\uad00\ub9ac \ubc29\uc548[\ub178\uba38\ub2c8\ub178\ud574\ube10TV] AI \ud559\uc2b5 \ub05d! \ucd94\ub860\uc740 Broadcom\uc774 \uc7a1\ub294\ub2e4[\uc544\ud558! \uc9c0\uc2dd\uc744 \uae68\ub2eb\ub294 \uc21c\uac04] AI \ubcf4\uc2a4\uac00 \ub418\ub294 \uc21c\uac04\u2026 \ub2f9\uc2e0\uc758 \ub2a5\ub825\uc740 …<\/p>\n
2025-09-22 \uc774\uc8fc\uc758 \uc778\uacf5\uc9c0\ub2a5_\ucd94\ub860 \uc720\ud29c\ube0c<\/span> \ub354 \ubcf4\uae30 »<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":""},"categories":[58],"tags":[59],"_links":{"self":[{"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/posts\/6450"}],"collection":[{"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6450"}],"version-history":[{"count":1,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/posts\/6450\/revisions"}],"predecessor-version":[{"id":6451,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=\/wp\/v2\/posts\/6450\/revisions\/6451"}],"wp:attachment":[{"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6450"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6450"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itjaeneungnanum.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6450"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}