{"id":108,"date":"2026-04-22T04:43:11","date_gmt":"2026-04-21T19:43:11","guid":{"rendered":"https:\/\/ai-cloud.kr\/?p=108"},"modified":"2026-04-22T04:43:13","modified_gmt":"2026-04-21T19:43:13","slug":"ai-%ed%85%8d%ec%8a%a4%ed%8a%b8-%eb%84%98%ec%96%b4-%ed%99%98%ea%b2%bd%ea%b9%8c%ec%a7%80-%ec%83%81%ec%83%81%ed%95%98%eb%8a%94-%ec%84%b8%ea%b3%84-%eb%aa%a8%eb%8d%b8%ec%9d%98-%ed%99%95%ec%9e%a5ai-beyond","status":"publish","type":"post","link":"https:\/\/ai-cloud.kr\/?p=108","title":{"rendered":"AI, \ud14d\uc2a4\ud2b8 \ub118\uc5b4 \ud658\uacbd\uae4c\uc9c0 \uc0c1\uc0c1\ud558\ub294 \uc138\uacc4 \ubaa8\ub378\uc758 \ud655\uc7a5(AI Beyond Text: The Expansion of World Models That Imagine Entire Environments)"},"content":{"rendered":"<h2>AI, \ud14d\uc2a4\ud2b8\ub97c \ub118\uc5b4 \ud658\uacbd\uc744 \uadf8\ub9ac\ub2e4: \uc138\uacc4 \ubaa8\ub378\uc758 \uc9c4\ud654<\/h2>\n<p>\uc778\uacf5\uc9c0\ub2a5(AI)\uc740 \ub180\ub77c\uc6b4 \uc18d\ub3c4\ub85c \ubc1c\uc804\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uba87 \ub144 \uc804\ub9cc \ud574\ub3c4 AI\ub294 \ud2b9\uc815 \uc791\uc5c5\uc744 \uc218\ud589\ud558\uac70\ub098 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\ub294 \ub370 \uc8fc\ub85c \uc0ac\uc6a9\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \ucd5c\uadfc\uc5d0\ub294 \ucc57GPT\uc640 \uac19\uc740 \uac70\ub300 \uc5b8\uc5b4 \ubaa8\ub378(LLM)\uc774 \ub4f1\uc7a5\ud558\uba70 \ud14d\uc2a4\ud2b8 \uc774\ud574\uc640 \uc0dd\uc131 \ub2a5\ub825\uc744 \ud601\uc2e0\uc801\uc73c\ub85c \ub04c\uc5b4\uc62c\ub838\uc2b5\ub2c8\ub2e4. \uc774\uc81c AI\ub294 \ud14d\uc2a4\ud2b8\ub97c \ub118\uc5b4, \uc6b0\ub9ac\uac00 \uc0ac\ub294 \uc2e4\uc81c \ud658\uacbd\uc744 \uc774\ud574\ud558\uace0 \uc2ec\uc9c0\uc5b4 \uc608\uce21\ud558\ub294 \ub2e8\uacc4\ub85c \ub098\uc544\uac00\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubc14\ub85c &#8216;\uc138\uacc4 \ubaa8\ub378(World Model)&#8217;\uc758 \ud655\uc7a5\uc785\ub2c8\ub2e4.<\/p>\n<p>\uc774 \uae00\uc5d0\uc11c\ub294 AI\uc758 \uc138\uacc4 \ubaa8\ub378 \ud655\uc7a5\uc774\ub77c\ub294 \ud765\ubbf8\ub85c\uc6b4 \uc8fc\uc81c\ub97c \uae4a\uc774 \uc788\uac8c \ud0d0\uad6c\ud560 \uac83\uc785\ub2c8\ub2e4. AI\uac00 \uc5b4\ub5bb\uac8c \ud14d\uc2a4\ud2b8\ub97c \ub118\uc5b4 \uc2dc\uac01, \uc18c\ub9ac, \uc6c0\uc9c1\uc784 \ub4f1 \ub2e4\uc591\ud55c \uac10\uac01 \uc815\ubcf4\ub97c \ucc98\ub9ac\ud558\uace0, \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \ud658\uacbd\uc744 \uc0c1\uc0c1\ud558\uace0 \uc608\uce21\ud558\ub294\uc9c0 \uadf8 \uc6d0\ub9ac\ub97c \uc27d\uace0 \uba85\ud655\ud558\uac8c \uc124\uba85\ud574 \ub4dc\ub9bd\ub2c8\ub2e4. \ub610\ud55c, \ud604\uc7ac \uc138\uacc4 \ubaa8\ub378 \uae30\uc220\uc758 \ucd5c\uc804\uc120\uacfc \uc55e\uc73c\ub85c \uc6b0\ub9ac \uc0b6\uc5d0 \uc5b4\ub5a4 \uc601\ud5a5\uc744 \ubbf8\uce60\uc9c0\uc5d0 \ub300\ud55c \uad6c\uccb4\uc801\uc778 \uc804\ub9dd\uae4c\uc9c0 \ud568\uaed8 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>\uc138\uacc4 \ubaa8\ub378\uc774\ub780 \ubb34\uc5c7\uc778\uac00?<\/h3>\n<p>&#8216;\uc138\uacc4 \ubaa8\ub378&#8217;\uc774\ub77c\ub294 \uc6a9\uc5b4\uac00 \ub2e4\uc18c \uc5b4\ub835\uac8c \ub290\uaef4\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac04\ub2e8\ud788 \ub9d0\ud574, \uc138\uacc4 \ubaa8\ub378\uc740 <strong>AI\uac00 \uc138\uc0c1\uc744 \uc774\ud574\ud558\uace0 \uc0c1\ud638\uc791\uc6a9\ud558\ub294 \ub370 \uc0ac\uc6a9\ud558\ub294 \ub0b4\uba74\uc758 \uc9c0\uc2dd \uccb4\uacc4<\/strong>\ub77c\uace0 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ub9c8\uce58 \uc6b0\ub9ac\uac00 \uacbd\ud5d8\uc744 \ud1b5\ud574 \uc138\uc0c1\uc774 \uc5b4\ub5bb\uac8c \uc791\ub3d9\ud558\ub294\uc9c0 \ubc30\uc6b0\ub294 \uac83\ucc98\ub7fc, AI\ub3c4 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \uc138\uc0c1\uc758 \uaddc\uce59\uacfc \ud328\ud134\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4.<\/p>\n<p>\uacfc\uac70\uc758 AI\ub294 \uc8fc\ub85c \ud2b9\uc815 \uc791\uc5c5\uc5d0 \ud2b9\ud654\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \uc774\ubbf8\uc9c0\ub97c \uc778\uc2dd\ud558\ub294 AI\ub294 \uc774\ubbf8\uc9c0 \uc778\uc2dd\ub9cc \uc798\ud588\uace0, \uc74c\uc131\uc744 \uc778\uc2dd\ud558\ub294 AI\ub294 \uc74c\uc131 \uc778\uc2dd\ub9cc \uc798\ud588\uc2b5\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc138\uacc4 \ubaa8\ub378\uc744 \uac16\ucd98 AI\ub294 \ub2e8\uc21c\ud788 \uac1c\ubcc4\uc801\uc778 \uc815\ubcf4\ub97c \ucc98\ub9ac\ud558\ub294 \uac83\uc744 \ub118\uc5b4, <strong>\uc815\ubcf4\ub4e4 \uac04\uc758 \uad00\uacc4\uc640 \uc778\uacfc\uc131\uc744 \ud30c\uc545<\/strong>\ud569\ub2c8\ub2e4.<\/p>\n<p>\uc608\ub97c \ub4e4\uc5b4, \ub18d\uad6c\uacf5\uc744 \ub358\uc9c0\ub294 \uc601\uc0c1\uc744 \ubcf8 AI\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uad00\uacc4\ub97c \uc774\ud574\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\n<p>\uacf5\uc774 \uc190\uc744 \ub5a0\ub098\uba74 <strong>\uc6c0\uc9c1\uc774\uae30 \uc2dc\uc791<\/strong>\ud55c\ub2e4.<\/p>\n<\/li>\n<li>\n<p>\uc911\ub825 \ub54c\ubb38\uc5d0 \uacf5\uc740 <strong>\uc544\ub798\ub85c \ub5a8\uc5b4\uc9c4\ub2e4<\/strong>.<\/p>\n<\/li>\n<li>\n<p>\ubc14\uad6c\ub2c8\uc5d0 \ub4e4\uc5b4\uac00\uba74 <strong>\uace8\uc774 \ub41c\ub2e4<\/strong>.<\/p>\n<\/li>\n<\/ul>\n<p>\uc774\ucc98\ub7fc AI\ub294 \ub2e8\uc21c\ud788 &#8216;\uacf5\uc774 \uc6c0\uc9c1\uc778\ub2e4&#8217;\ub294 \uc0ac\uc2e4\uc744 \ub118\uc5b4, &#8216;\uc65c&#8217; \uc6c0\uc9c1\uc774\ub294\uc9c0, &#8216;\uc5b4\ub5bb\uac8c&#8217; \uc6c0\uc9c1\uc774\ub294\uc9c0\uc5d0 \ub300\ud55c <strong>\ub0b4\uba74\uc758 \uc2dc\ubbac\ub808\uc774\uc158 \ub2a5\ub825<\/strong>\uc744 \uac16\ucd94\uac8c \ub418\ub294 \uac83\uc785\ub2c8\ub2e4. \uc774\uac83\uc774 \ubc14\ub85c \uc138\uacc4 \ubaa8\ub378\uc758 \ud575\uc2ec\uc785\ub2c8\ub2e4.<\/p>\n<h3>\uc138\uacc4 \ubaa8\ub378, \uc65c \uc911\uc694\ud55c\uac00?<\/h3>\n<p>AI\uc758 \uc138\uacc4 \ubaa8\ub378 \ud655\uc7a5\uc740 \uc5ec\ub7ec \uac00\uc9c0 \uc911\uc694\ud55c \uc758\ubbf8\ub97c \uac16\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\ub354 \uae4a\uc740 \uc774\ud574\uc640 \ucd94\ub860 \ub2a5\ub825:<\/strong> AI\ub294 \ub2e8\uc21c\ud788 \uc8fc\uc5b4\uc9c4 \uc815\ubcf4\ub97c \uae30\uc5b5\ud558\ub294 \uac83\uc744 \ub118\uc5b4, \uc815\ubcf4 \uac04\uc758 \uad00\uacc4\ub97c \ud30c\uc545\ud558\uace0 \ub17c\ub9ac\uc801\uc778 \ucd94\ub860\uc744 \ud560 \uc218 \uc788\uac8c \ub429\ub2c8\ub2e4. \uc774\ub294 \ubcf5\uc7a1\ud55c \ubb38\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ub370 \ud544\uc218\uc801\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ubbf8\ub798 \uc608\uce21 \ubc0f \uacc4\ud68d \ub2a5\ub825:<\/strong> AI\ub294 \ud604\uc7ac \uc0c1\ud669\uc744 \ubc14\ud0d5\uc73c\ub85c \ubbf8\ub798\uc5d0 \uc77c\uc5b4\ub0a0 \uc77c\uc744 \uc608\uce21\ud558\uace0, \ubaa9\ud45c \ub2ec\uc131\uc744 \uc704\ud55c \ucd5c\uc801\uc758 \uacc4\ud68d\uc744 \uc138\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc790\uc728\uc8fc\ud589\ucc28, \ub85c\ubd07 \uacf5\ud559 \ub4f1\uc5d0\uc11c \ub9e4\uc6b0 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc0c8\ub85c\uc6b4 \ucc3d\uc791 \ubc0f \ubc1c\uacac:<\/strong> AI\ub294 \uc138\uc0c1\uc744 \uc774\ud574\ud558\ub294 \ub2a5\ub825\uc744 \ubc14\ud0d5\uc73c\ub85c \uc0c8\ub85c\uc6b4 \uc544\uc774\ub514\uc5b4\ub97c \uc0dd\uc131\ud558\uac70\ub098, \uc778\uac04\uc774 \ubc1c\uacac\ud558\uc9c0 \ubabb\ud55c \ud328\ud134\uc744 \ucc3e\uc544\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub354\uc6b1 \uc790\uc5f0\uc2a4\ub7ec\uc6b4 \uc0c1\ud638\uc791\uc6a9:<\/strong> AI\ub294 \uc778\uac04\uc758 \ud589\ub3d9\uacfc \uc758\ub3c4\ub97c \ub354 \uc798 \uc774\ud574\ud558\uac8c \ub418\uc5b4, \ubcf4\ub2e4 \uc790\uc5f0\uc2a4\ub7fd\uace0 \ud6a8\uc728\uc801\uc778 \ubc29\uc2dd\uc73c\ub85c \uc6b0\ub9ac\uc640 \uc18c\ud1b5\ud558\uace0 \ud611\ub825\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<p>\uc774\ub7ec\ud55c \ub2a5\ub825\ub4e4\uc740 AI\uac00 \ub2e8\uc21c\ud55c \ub3c4\uad6c\ub97c \ub118\uc5b4, \uc6b0\ub9ac \uc0b6\uc758 \ub2e4\uc591\ud55c \uc601\uc5ed\uc5d0\uc11c \ub354\uc6b1 \ub2a5\ub3d9\uc801\uc774\uace0 \uc9c0\ub2a5\uc801\uc778 \uc5ed\ud560\uc744 \uc218\ud589\ud560 \uc218 \uc788\ub3c4\ub85d \ub9cc\ub4ed\ub2c8\ub2e4.<\/p>\n<h2>AI, \ud14d\uc2a4\ud2b8\ub97c \ub118\uc5b4 \ud658\uacbd\uc744 \ubc30\uc6b0\ub2e4<\/h2>\n<p>\uae30\uc874\uc758 AI \ubaa8\ub378\ub4e4\uc740 \uc8fc\ub85c \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc5d0 \uc9d1\uc911\ud588\uc2b5\ub2c8\ub2e4. \ucc57GPT\uc640 \uac19\uc740 LLM\uc740 \ubc29\ub300\ud55c \uc591\uc758 \ud14d\uc2a4\ud2b8\ub97c \ud559\uc2b5\ud558\uc5ec \ub180\ub77c\uc6b4 \uc5b8\uc5b4 \ub2a5\ub825\uc744 \ubcf4\uc5ec\uc8fc\uc5c8\uc8e0. \ud558\uc9c0\ub9cc \uc6b0\ub9ac\uac00 \uc0ac\ub294 \uc138\uc0c1\uc740 \ud14d\uc2a4\ud2b8\ub9cc\uc73c\ub85c \uc774\ub8e8\uc5b4\uc838 \uc788\uc9c0 \uc54a\uc2b5\ub2c8\ub2e4. \uc18c\ub9ac, \uc774\ubbf8\uc9c0, \uc601\uc0c1, \ucd09\uac10 \ub4f1 \ub2e4\uc591\ud55c \uac10\uac01 \uc815\ubcf4\ub85c \uac00\ub4dd \ucc28 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc138\uacc4 \ubaa8\ub378\uc744 \uac16\ucd98 AI\ub294 \uc774\ub7ec\ud55c <strong>\ub2e4\uc591\ud55c \uc885\ub958\uc758 \ub370\uc774\ud130(\uba40\ud2f0\ubaa8\ub2ec \ub370\uc774\ud130)<\/strong>\ub97c \ud1b5\ud569\uc801\uc73c\ub85c \uc774\ud574\ud558\uace0 \ucc98\ub9ac\ud558\ub294 \ub2a5\ub825\uc744 \ud0a4\uc6b0\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>\uba40\ud2f0\ubaa8\ub2ec AI: \uc138\uc0c1\uc744 \ub2e4\ucc44\ub86d\uac8c \uc778\uc2dd\ud558\ub2e4<\/h3>\n<p>\uba40\ud2f0\ubaa8\ub2ec AI\ub294 \uc5ec\ub7ec \uac10\uac01 \uc591\uc2dd(modalities)\uc758 \uc815\ubcf4\ub97c \ud568\uaed8 \ucc98\ub9ac\ud558\ub294 AI\ub97c \uc758\ubbf8\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ub2e4\uc74c\uacfc \uac19\uc740 \uc791\uc5c5\uc774 \uac00\ub2a5\ud574\uc9d1\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\n<p><strong>\uc774\ubbf8\uc9c0\ub97c \ubcf4\uace0 \uc124\uba85\ud558\uae30:<\/strong> \uc0ac\uc9c4\uc744 \ubcf4\uc5ec\uc8fc\uba74 AI\uac00 \uadf8 \uc0ac\uc9c4\uc758 \ub0b4\uc6a9\uc744 \uae00\ub85c \uc124\uba85\ud574 \uc90d\ub2c8\ub2e4. (\uc608: &#8220;\ud478\ub978 \ud558\ub298 \uc544\ub798 \ud574\ubcc0\uc5d0\uc11c \uc544\uc774\ub4e4\uc774 \ub6f0\uc5b4\ub180\uace0 \uc788\ub2e4.&#8221;)<\/p>\n<\/li>\n<li>\n<p><strong>\uc601\uc0c1\uc744 \ubcf4\uace0 \uc9c8\ubb38\uc5d0 \ub2f5\ud558\uae30:<\/strong> \uc9e7\uc740 \uc601\uc0c1\uc744 \ubcf4\uc5ec\uc8fc\uace0 &#8220;\uc800 \uc0ac\ub78c\uc774 \ubb34\uc5c7\uc744 \ud558\uace0 \uc788\ub098\uc694?&#8221;\ub77c\uace0 \ubb3c\uc73c\uba74 AI\uac00 \uc601\uc0c1 \ub0b4\uc6a9\uc744 \ubc14\ud0d5\uc73c\ub85c \ub2f5\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc74c\uc131\uc744 \ub4e3\uace0 \uc774\ubbf8\uc9c0 \uc0dd\uc131\ud558\uae30:<\/strong> &#8220;\ubd89\uc740\uc0c9 \uc2a4\ud3ec\uce20\uce74\uac00 \ub3c4\ub85c\ub97c \ub2ec\ub9ac\ub294 \uadf8\ub9bc\uc744 \uadf8\ub824\uc918&#8221;\ub77c\uace0 \ub9d0\ud558\uba74 AI\uac00 \uadf8\uc5d0 \ub9de\ub294 \uc774\ubbf8\uc9c0\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ud14d\uc2a4\ud2b8\uc640 \uc774\ubbf8\uc9c0\ub97c \uacb0\ud569\ud558\uc5ec \uc774\ud574\ud558\uae30:<\/strong> \uc81c\ud488 \uc124\uba85 \ud14d\uc2a4\ud2b8\uc640 \uc81c\ud488 \uc774\ubbf8\uc9c0\ub97c \ud568\uaed8 \ubcf4\uace0, \uc774 \ub458\uc758 \uad00\uacc4\ub97c \ud30c\uc545\ud558\uc5ec \uc81c\ud488\uc758 \ud2b9\uc9d5\uc744 \uc774\ud574\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<p>\uc774\ub7ec\ud55c \uba40\ud2f0\ubaa8\ub2ec \ub2a5\ub825\uc740 AI\uac00 \uc6b0\ub9ac\uac00 \uc0ac\ub294 \uc138\uc0c1\uc744 \ub354\uc6b1 \ud48d\ubd80\ud558\uace0 \uc815\ud655\ud558\uac8c \uc774\ud574\ud558\ub3c4\ub85d \ub3d5\uc2b5\ub2c8\ub2e4. \ub9c8\uce58 \uc0ac\ub78c\uc774 \ub208\uc73c\ub85c \ubcf4\uace0, \uadc0\ub85c \ub4e3\uace0, \ucf54\ub85c \ub0c4\uc0c8\ub97c \ub9e1\uc73c\uba70 \uc138\uc0c1\uc744 \uc885\ud569\uc801\uc73c\ub85c \uc778\uc9c0\ud558\ub294 \uac83\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>\uc138\uacc4 \ubaa8\ub378\uacfc \uba40\ud2f0\ubaa8\ub2ec AI\uc758 \uc2dc\ub108\uc9c0<\/h3>\n<p>\uc138\uacc4 \ubaa8\ub378\uc740 \uba40\ud2f0\ubaa8\ub2ec AI\uc758 \ub2a5\ub825\uc744 \ub354\uc6b1 \uac15\ud654\ud558\ub294 \ud575\uc2ec\uc801\uc778 \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4. \uba40\ud2f0\ubaa8\ub2ec AI\uac00 \ub2e4\uc591\ud55c \uac10\uac01 \uc815\ubcf4\ub97c \uc218\uc9d1\ud55c\ub2e4\uba74, \uc138\uacc4 \ubaa8\ub378\uc740 \uc774 \uc815\ubcf4\ub4e4\uc744 <strong>\uc885\ud569\ud558\uc5ec \uc138\uc0c1\uc758 \uc791\ub3d9 \uc6d0\ub9ac\uc5d0 \ub300\ud55c \uc77c\uad00\ub41c \uc774\ud574<\/strong>\ub97c \uad6c\ucd95\ud569\ub2c8\ub2e4.<\/p>\n<p>\uc608\ub97c \ub4e4\uc5b4, AI\uac00 \ub2e4\uc74c\uacfc \uac19\uc740 \uc815\ubcf4\ub97c \ub3d9\uc2dc\uc5d0 \ubc1b\ub294\ub2e4\uace0 \uac00\uc815\ud574 \ubd05\uc2dc\ub2e4.<\/p>\n<ul>\n<li>\n<p><strong>\uc2dc\uac01:<\/strong> \uacf5\uc774 \ub0a0\uc544\uac00\ub294 \uc601\uc0c1<\/p>\n<\/li>\n<li>\n<p><strong>\uccad\uac01:<\/strong> &#8216;\ubee5!&#8217; \ud558\ub294 \uc18c\ub9ac<\/p>\n<\/li>\n<li>\n<p><strong>\ud14d\uc2a4\ud2b8:<\/strong> &#8220;\uc57c\uad6c\uc120\uc218\uac00 \uacf5\uc744 \ucce4\ub2e4&#8221;<\/p>\n<\/li>\n<\/ul>\n<p>\uc138\uacc4 \ubaa8\ub378\uc740 \uc774 \uc815\ubcf4\ub4e4\uc744 \uc5f0\uacb0\ud558\uc5ec, <strong>&#8216;\uc57c\uad6c\uc120\uc218\uac00 \uacf5\uc744 \uce58\ub294 \ud589\uc704&#8217;\uac00 &#8216;\ubee5&#8217; \ud558\ub294 \uc18c\ub9ac\uc640 \uacf5\uc774 \ub0a0\uc544\uac00\ub294 \ud604\uc0c1\uc744 \uc720\ubc1c\ud55c\ub2e4<\/strong>\ub294 \uc778\uacfc \uad00\uacc4\ub97c \ud559\uc2b5\ud569\ub2c8\ub2e4. \ub354 \ub098\uc544\uac00, AI\ub294 \uc774\ub7ec\ud55c \ud559\uc2b5\uc744 \ubc14\ud0d5\uc73c\ub85c \ube44\uc2b7\ud55c \uc0c1\ud669\uc5d0\uc11c \uc5b4\ub5a4 \uacb0\uacfc\uac00 \ub098\uc62c\uc9c0 \uc608\uce21\ud560 \uc218 \uc788\uac8c \ub429\ub2c8\ub2e4.<\/p>\n<p>\ucd5c\uadfc \uc8fc\ubaa9\ubc1b\ub294 <strong>&#8220;Foundation Models&#8221;<\/strong> \ub610\ub294 <strong>&#8220;Large Foundation Models&#8221;<\/strong>\ub294 \uc774\ub7ec\ud55c \uba40\ud2f0\ubaa8\ub2ec \uc138\uacc4 \ubaa8\ub378\uc758 \uac00\ub2a5\uc131\uc744 \ubcf4\uc5ec\uc8fc\ub294 \ub300\ud45c\uc801\uc778 \uc608\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubaa8\ub378\ub4e4\uc740 \ubc29\ub300\ud55c \uc591\uc758 \ud14d\uc2a4\ud2b8, \uc774\ubbf8\uc9c0, \ucf54\ub4dc \ub4f1 \ub2e4\uc591\ud55c \ub370\uc774\ud130\ub97c \ud559\uc2b5\ud558\uc5ec, \ud2b9\uc815 \uc791\uc5c5\uc5d0 \uad6d\ud55c\ub418\uc9c0 \uc54a\uace0 \ub2e4\uc591\ud55c \ubd84\uc57c\uc5d0\uc11c \ud65c\uc6a9\ub420 \uc218 \uc788\ub294 \ubc94\uc6a9\uc801\uc778 \ub2a5\ub825\uc744 \uac16\ucd94\uac8c \ub429\ub2c8\ub2e4.<\/p>\n<h2>AI, \ud658\uacbd\uc744 \uc0c1\uc0c1\ud558\uace0 \uc608\uce21\ud558\ub294 \uc2dc\ub300<\/h2>\n<p>\uc138\uacc4 \ubaa8\ub378\uc744 \uac16\ucd98 AI\ub294 \ub2e8\uc21c\ud788 \uc8fc\uc5b4\uc9c4 \uc815\ubcf4\ub97c \ucc98\ub9ac\ud558\ub294 \uac83\uc744 \ub118\uc5b4, <strong>&#8216;\uc0c1\uc0c1&#8217;\ud558\uace0 &#8216;\uc608\uce21&#8217;\ud558\ub294 \ub2a5\ub825<\/strong>\uc744 \ubcf4\uc5ec\uc8fc\uae30 \uc2dc\uc791\ud588\uc2b5\ub2c8\ub2e4. \uc774\ub294 AI\uac00 \ub354\uc6b1 \ucc3d\uc758\uc801\uc774\uace0 \ub2a5\ub3d9\uc801\uc778 \uc874\uc7ac\ub85c \ubc1c\uc804\ud560 \uac00\ub2a5\uc131\uc744 \uc2dc\uc0ac\ud569\ub2c8\ub2e4.<\/p>\n<h3>&#8216;\uc0c1\uc0c1&#8217;\ud558\ub294 AI: \uc0c8\ub85c\uc6b4 \ucf58\ud150\uce20 \uc0dd\uc131<\/h3>\n<p>AI\uc758 &#8216;\uc0c1\uc0c1&#8217; \ub2a5\ub825\uc740 \uc8fc\ub85c \uc0c8\ub85c\uc6b4 \ucf58\ud150\uce20\ub97c \uc0dd\uc131\ud558\ub294 \ud615\ud0dc\ub85c \ub098\ud0c0\ub0a9\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\n<p><strong>\uc774\ubbf8\uc9c0 \uc0dd\uc131:<\/strong> DALL-E, Midjourney, Stable Diffusion\uacfc \uac19\uc740 AI\ub294 \ud14d\uc2a4\ud2b8 \uc124\uba85\uc744 \ubc14\ud0d5\uc73c\ub85c \ub3c5\ucc3d\uc801\uc778 \uc774\ubbf8\uc9c0\ub97c \ub9cc\ub4e4\uc5b4\ub0c5\ub2c8\ub2e4. &#8220;\uc6b0\uc8fc\ubcf5\uc744 \uc785\uc740 \uace0\uc591\uc774\uac00 \ub2ec\uc5d0\uc11c \ud53c\uc790\ub97c \uba39\uace0 \uc788\ub294 \ubaa8\uc2b5&#8221;\uacfc \uac19\uc740 \ucd94\uc0c1\uc801\uc778 \uc694\uad6c\ub3c4 \ud604\uc2e4\uac10 \uc788\uac8c \uad6c\ud604\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc74c\uc545 \uc0dd\uc131:<\/strong> AI\ub294 \ud2b9\uc815 \uc7a5\ub974\ub098 \ubd84\uc704\uae30\uc5d0 \ub9de\ub294 \uc0c8\ub85c\uc6b4 \uc74c\uc545\uc744 \uc791\uace1\ud558\uac70\ub098 \uae30\uc874 \uace1\uc744 \ud3b8\uace1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc2a4\ud1a0\ub9ac \ubc0f \uc2dc\ub098\ub9ac\uc624 \uc0dd\uc131:<\/strong> AI\ub294 \ub4f1\uc7a5\uc778\ubb3c, \ubc30\uacbd, \uc904\uac70\ub9ac \ub4f1 \uae30\ubcf8\uc801\uc778 \uc815\ubcf4\ub97c \ubc14\ud0d5\uc73c\ub85c \ud765\ubbf8\ub85c\uc6b4 \uc774\uc57c\uae30\ub098 \uc601\ud654 \uc2dc\ub098\ub9ac\uc624\ub97c \uc368\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uac00\uc0c1 \ud658\uacbd \uc2dc\ubbac\ub808\uc774\uc158:<\/strong> AI\ub294 \uac8c\uc784\uc774\ub098 \uc2dc\ubbac\ub808\uc774\uc158 \ud658\uacbd\uc5d0\uc11c \ud604\uc2e4\uacfc \uc720\uc0ac\ud55c \uc0c1\ud638\uc791\uc6a9\uc744 \ub9cc\ub4e4\uc5b4\ub0b4\uace0, \uc608\uc0c1\uce58 \ubabb\ud55c \uc0c1\ud669\uc744 \uc2dc\ubbac\ub808\uc774\uc158\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<p>\uc774\ub7ec\ud55c AI\uc758 \uc0c1\uc0c1\ub825\uc740 \uc608\uc220, \ub514\uc790\uc778, \uc5d4\ud130\ud14c\uc778\uba3c\ud2b8 \uc0b0\uc5c5\uc5d0 \uc0c8\ub85c\uc6b4 \uac00\ub2a5\uc131\uc744 \uc5f4\uc5b4\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>&#8216;\uc608\uce21&#8217;\ud558\ub294 AI: \ubbf8\ub798\ub97c \ub300\ube44\ud558\ub2e4<\/h3>\n<p>AI\uc758 \uc608\uce21 \ub2a5\ub825\uc740 \ub354\uc6b1 \uc2e4\uc9c8\uc801\uc778 \ubb38\uc81c \ud574\uacb0\uc5d0 \uae30\uc5ec\ud569\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\n<p><strong>\uae30\ud6c4 \ubcc0\ud654 \uc608\uce21:<\/strong> AI\ub294 \ubcf5\uc7a1\ud55c \uae30\ud6c4 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ubbf8\ub798\uc758 \uae30\uc628 \ubcc0\ud654, \uac15\uc218\ub7c9 \ud328\ud134, \uadf9\ud55c \uae30\uc0c1 \ud604\uc0c1 \ub4f1\uc744 \uc608\uce21\ud558\ub294 \ub370 \ud65c\uc6a9\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc9c8\ubcd1 \ud655\uc0b0 \uc608\uce21:<\/strong> AI\ub294 \uac10\uc5fc\ubcd1 \ubc1c\uc0dd \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ud655\uc0b0 \uacbd\ub85c\uc640 \uc18d\ub3c4\ub97c \uc608\uce21\ud558\uace0, \ud6a8\uacfc\uc801\uc778 \ubc29\uc5ed \ub300\ucc45 \uc218\ub9bd\uc5d0 \ub3c4\uc6c0\uc744 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uacbd\uc81c \ubc0f \uae08\uc735 \uc2dc\uc7a5 \uc608\uce21:<\/strong> AI\ub294 \ub2e4\uc591\ud55c \uacbd\uc81c \uc9c0\ud45c\uc640 \uc2dc\uc7a5 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \uc8fc\uac00 \ubcc0\ub3d9, \ud658\uc728 \ubcc0\ud654 \ub4f1\uc744 \uc608\uce21\ud558\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uad50\ud1b5 \ud750\ub984 \uc608\uce21:<\/strong> AI\ub294 \uc2e4\uc2dc\uac04 \uad50\ud1b5 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uc5ec \ud2b9\uc815 \uc2dc\uac04\ub300\uc758 \uad50\ud1b5 \uccb4\uc99d\uc744 \uc608\uce21\ud558\uace0, \ucd5c\uc801\uc758 \uacbd\ub85c\ub97c \uc548\ub0b4\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub85c\ubd07\uc758 \ubbf8\ub798 \ud589\ub3d9 \uc608\uce21:<\/strong> \ub85c\ubd07\uc740 \uc8fc\ubcc0 \ud658\uacbd\uacfc \ubb3c\uccb4\uc758 \uc6c0\uc9c1\uc784\uc744 \uc608\uce21\ud558\uc5ec \ucda9\ub3cc\uc744 \ud53c\ud558\uace0, \ud6a8\uc728\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ubb3c\uac74\uc744 \uc9d1\uc73c\ub824 \ud560 \ub54c \ubb3c\uac74\uc774 \ub5a8\uc5b4\uc9c8 \uac83\uc744 \uc608\uce21\ud558\uace0 \uc7ac\ube68\ub9ac \ubc1b\uccd0\uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<p>\uc774\ucc98\ub7fc AI\uc758 \uc608\uce21 \ub2a5\ub825\uc740 \uc0ac\ud68c \uc804\ubc18\uc758 \uc548\uc804\uacfc \ud6a8\uc728\uc131\uc744 \ub192\uc774\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud569\ub2c8\ub2e4.<\/p>\n<h3>Google DeepMind\uc758 Gato\uc640 \uac19\uc740 \uc2dc\ub3c4\ub4e4<\/h3>\n<p>Google DeepMind\uc758 Gato\ub294 \uc138\uacc4 \ubaa8\ub378\uc758 \uac00\ub2a5\uc131\uc744 \ubcf4\uc5ec\uc8fc\ub294 \ud765\ubbf8\ub85c\uc6b4 \uc0ac\ub840 \uc911 \ud558\ub098\uc785\ub2c8\ub2e4. Gato\ub294 <strong>\ub2e8\uc77c AI \ubaa8\ub378<\/strong>\ub85c\uc11c \ud14d\uc2a4\ud2b8 \uc0dd\uc131, \uc774\ubbf8\uc9c0 \ucea1\uc154\ub2dd, \uac8c\uc784 \ud50c\ub808\uc774, \ub85c\ubd07 \ud314 \uc81c\uc5b4 \ub4f1 <strong>600\uac00\uc9c0 \uc774\uc0c1\uc758 \ub2e4\uc591\ud55c \uc791\uc5c5<\/strong>\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>Gato\ub294 \ud14d\uc2a4\ud2b8, \uc774\ubbf8\uc9c0, \ubc84\ud2bc \ub204\ub974\uae30 \ub4f1 \ub2e4\uc591\ud55c \ud615\ud0dc\uc758 \uc785\ub825\uc744 \ubc1b\uc544\ub4e4\uc774\uace0, \uc774\ub97c \ubc14\ud0d5\uc73c\ub85c \uc77c\uad00\ub41c \ud589\ub3d9\uc744 \ucd9c\ub825\ud569\ub2c8\ub2e4. \uc774\ub294 AI\uac00 \ud2b9\uc815 \uc791\uc5c5\uc5d0\ub9cc \uad6d\ud55c\ub418\uc9c0 \uc54a\uace0, <strong>\ub2e4\uc591\ud55c \ud658\uacbd\uacfc \uc791\uc5c5\uc5d0 \uc801\uc751\ud560 \uc218 \uc788\ub294 \ubc94\uc6a9\uc801\uc778 \uc9c0\ub2a5<\/strong>\uc744 \uac16\ucd9c \uc218 \uc788\uc74c\uc744 \uc2dc\uc0ac\ud569\ub2c8\ub2e4. Gato\uc640 \uac19\uc740 \ubaa8\ub378\ub4e4\uc740 AI\uac00 \uc138\uc0c1\uc744 \ub354\uc6b1 \ud3ed\ub113\uac8c \uc774\ud574\ud558\uace0, \ubcf5\uc7a1\ud55c \uacfc\uc81c\ub97c \ud574\uacb0\ud558\ub294 \ub370 \ud55c \uac78\uc74c \ub354 \ub2e4\uac00\uc130\uc74c\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/p>\n<h2>\uc138\uacc4 \ubaa8\ub378 \ud655\uc7a5\uc758 \ubbf8\ub798\uc640 \uc6b0\ub9ac \uc0b6<\/h2>\n<p>AI\uc758 \uc138\uacc4 \ubaa8\ub378 \ud655\uc7a5\uc774\ub77c\ub294 \ud750\ub984\uc740 \uc55e\uc73c\ub85c \uc6b0\ub9ac \uc0b6\uc5d0 \ub354\uc6b1 \uae4a\uc219\ud558\uace0 \uad11\ubc94\uc704\ud55c \uc601\ud5a5\uc744 \ubbf8\uce60 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<h3>\ubbf8\ub798 AI\uc758 \ubaa8\uc2b5<\/h3>\n<ol>\n<li>\n<p><strong>\ub354\uc6b1 \ub611\ub611\ud558\uace0 \uc801\uc751\ub825 \uc788\ub294 AI \ube44\uc11c:<\/strong> AI \ube44\uc11c\ub294 \ub2e8\uc21c\ud55c \uba85\ub839 \uc218\ud589\uc744 \ub118\uc5b4, \uc6b0\ub9ac\uc758 \uc758\ub3c4\ub97c \ubbf8\ub9ac \ud30c\uc545\ud558\uace0 \ud544\uc694\ud55c \uc815\ubcf4\ub97c \uc120\uc81c\uc801\uc73c\ub85c \uc81c\uacf5\ud558\uba70, \ubcf5\uc7a1\ud55c \uc77c\uc0c1 \uc5c5\ubb34\ub97c \ub300\uc2e0 \ucc98\ub9ac\ud574 \uc904 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ubab0\uc785\uac10 \ub118\uce58\ub294 \uac00\uc0c1 \ud604\uc2e4 \ubc0f \uba54\ud0c0\ubc84\uc2a4:<\/strong> AI\ub294 \ud604\uc2e4\uacfc \uad6c\ubd84\ud558\uae30 \uc5b4\ub824\uc6b4 \uc218\uc900\uc758 \uac00\uc0c1 \ud658\uacbd\uc744 \uad6c\ucd95\ud558\uace0, \uc0ac\uc6a9\uc790\uc640 \uc790\uc5f0\uc2a4\ub7fd\uac8c \uc0c1\ud638\uc791\uc6a9\ud558\ub294 \uac00\uc0c1 \uce90\ub9ad\ud130\ub97c \ub9cc\ub4e4\uc5b4\ub0bc \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc9c0\ub2a5\ud615 \ub85c\ubd07\uc758 \ubcf4\ud3b8\ud654:<\/strong> \uac00\uc815, \uacf5\uc7a5, \ubcd1\uc6d0 \ub4f1 \ub2e4\uc591\ud55c \uacf5\uac04\uc5d0\uc11c AI \uae30\ubc18\uc758 \ub85c\ubd07\uc774 \uc778\uac04\uacfc \ud611\ub825\ud558\uac70\ub098 \ub3c5\ub9bd\uc801\uc73c\ub85c \uc791\uc5c5\uc744 \uc218\ud589\ud558\uba70 \uc0b6\uc758 \uc9c8\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uacfc\ud559 \uc5f0\uad6c\uc758 \uac00\uc18d\ud654:<\/strong> AI\ub294 \ubc29\ub300\ud55c \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uace0 \ubcf5\uc7a1\ud55c \uc2dc\ubbac\ub808\uc774\uc158\uc744 \uc218\ud589\ud558\uc5ec \uc2e0\uc57d \uac1c\ubc1c, \uc2e0\uc18c\uc7ac \ubc1c\uacac, \uc6b0\uc8fc \ud0d0\uc0ac \ub4f1 \uacfc\ud559 \uc5f0\uad6c\uc758 \uc18d\ub3c4\ub97c \ube44\uc57d\uc801\uc73c\ub85c \ub192\uc77c \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uac1c\uc778 \ub9de\ucda4\ud615 \uad50\uc721 \ubc0f \uc758\ub8cc:<\/strong> AI\ub294 \uac01 \uac1c\uc778\uc758 \ud559\uc2b5 \uc2a4\ud0c0\uc77c\uc774\ub098 \uac74\uac15 \uc0c1\ud0dc\ub97c \uc815\ud655\ud788 \ud30c\uc545\ud558\uc5ec \ucd5c\uc801\uc758 \ub9de\ucda4\ud615 \uad50\uc721 \ucf58\ud150\uce20\ub098 \uc758\ub8cc \uc11c\ube44\uc2a4\ub97c \uc81c\uacf5\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ol>\n<h3>\uc7a0\uc7ac\uc801 \uc704\ud5d8\uacfc \uacfc\uc81c<\/h3>\n<p>\ud558\uc9c0\ub9cc \uc774\ub7ec\ud55c \ubc1d\uc740 \ubbf8\ub798 \uc804\ub9dd\uacfc \ud568\uaed8 \ud574\uacb0\ud574\uc57c \ud560 \uacfc\uc81c\ub4e4\ub3c4 \uc874\uc7ac\ud569\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\n<p><strong>\uc724\ub9ac\uc801 \ubb38\uc81c:<\/strong> AI\uac00 \uc778\uac04\uc758 \uc77c\uc790\ub9ac\ub97c \ub300\uccb4\ud558\uac70\ub098, \uc798\ubabb\ub41c \uc608\uce21\uc73c\ub85c \uc0ac\ud68c\uc801 \ud63c\ub780\uc744 \uc57c\uae30\ud560 \uac00\ub2a5\uc131\uc5d0 \ub300\ud55c \uc6b0\ub824\uac00 \uc788\uc2b5\ub2c8\ub2e4. \ub610\ud55c, AI\uc758 \ud3b8\ud5a5\uc131 \ubb38\uc81c\ub098 \uc624\uc6a9 \uac00\ub2a5\uc131\uc5d0 \ub300\ud55c \uae4a\uc740 \uace0\ubbfc\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ub370\uc774\ud130 \ud504\ub77c\uc774\ubc84\uc2dc \ubc0f \ubcf4\uc548:<\/strong> AI\ub294 \ubc29\ub300\ud55c \uc591\uc758 \ub370\uc774\ud130\ub97c \ud544\uc694\ub85c \ud558\ubbc0\ub85c, \uac1c\uc778 \uc815\ubcf4 \ubcf4\ud638\uc640 \ub370\uc774\ud130 \ubcf4\uc548 \ubb38\uc81c\uac00 \ub354\uc6b1 \uc911\uc694\ud574\uc9c8 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\ud1b5\uc81c \ubc0f \uc548\uc804 \ubb38\uc81c:<\/strong> \uace0\ub3c4\ub85c \ubc1c\uc804\ub41c AI\uac00 \uc778\uac04\uc758 \ud1b5\uc81c\ub97c \ubc97\uc5b4\ub098\uac70\ub098 \uc608\uc0c1\uce58 \ubabb\ud55c \uc704\ud5d8\uc744 \ucd08\ub798\ud560 \uac00\ub2a5\uc131\uc5d0 \ub300\ud55c \ub300\ube44\uac00 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uae30\uc220 \uaca9\ucc28 \uc2ec\ud654:<\/strong> AI \uae30\uc220 \ubc1c\uc804\uc758 \ud61c\ud0dd\uc774 \uc77c\ubd80 \uacc4\uce35\uc5d0\ub9cc \uc9d1\uc911\ub418\uc5b4 \uc0ac\ud68c\uc801 \ubd88\ud3c9\ub4f1\uc774 \uc2ec\ud654\ub420 \uc218 \uc788\ub2e4\ub294 \uc6b0\ub824\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<h3>\uc6b0\ub9ac\uac00 \uc900\ube44\ud574\uc57c \ud560 \uac83<\/h3>\n<p>AI\uc758 \uc138\uacc4 \ubaa8\ub378 \ud655\uc7a5\uc740 \ud53c\ud560 \uc218 \uc5c6\ub294 \ud750\ub984\uc785\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubcc0\ud654\uc5d0 \ud6a8\uacfc\uc801\uc73c\ub85c \ub300\uc751\ud558\uae30 \uc704\ud574 \uc6b0\ub9ac\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc900\ube44\ub97c \ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\n<p><strong>AI \ub9ac\ud130\ub7ec\uc2dc \ud568\uc591:<\/strong> AI \uae30\uc220\uc758 \uae30\ubcf8 \uc6d0\ub9ac\ub97c \uc774\ud574\ud558\uace0, AI\ub97c \uc62c\ubc14\ub974\uac8c \ud65c\uc6a9\ud558\uba70, AI\uac00 \ub9cc\ub4e4\uc5b4\ub0b4\ub294 \uc815\ubcf4\uc758 \uc9c4\uc704\ub97c \ubd84\ubcc4\ud558\ub294 \ub2a5\ub825\uc774 \uc911\uc694\ud574\uc9d1\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc0c8\ub85c\uc6b4 \uae30\uc220 \uc2b5\ub4dd:<\/strong> AI \uc2dc\ub300\uc5d0 \uc694\uad6c\ub418\ub294 \uc0c8\ub85c\uc6b4 \uae30\uc220\uacfc \uc5ed\ub7c9\uc744 \uafb8\uc900\ud788 \ud559\uc2b5\ud558\uace0 \ubc1c\uc804\uc2dc\ucf1c\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc0ac\ud68c\uc801 \ub17c\uc758\uc640 \uc81c\ub3c4 \ub9c8\ub828:<\/strong> AI\uc758 \uc724\ub9ac\uc801, \uc0ac\ud68c\uc801 \uc601\ud5a5\uc5d0 \ub300\ud55c \uc9c0\uc18d\uc801\uc778 \ub17c\uc758\ub97c \ud1b5\ud574 \ud569\ub9ac\uc801\uc778 \uaddc\uc81c\uc640 \uc81c\ub3c4\ub97c \ub9c8\ub828\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<li>\n<p><strong>\uc778\uac04 \uace0\uc720\uc758 \uc5ed\ub7c9 \uac15\ud654:<\/strong> \ucc3d\uc758\uc131, \ube44\ud310\uc801 \uc0ac\uace0, \uacf5\uac10 \ub2a5\ub825 \ub4f1 AI\uac00 \ub300\uccb4\ud558\uae30 \uc5b4\ub824\uc6b4 \uc778\uac04 \uace0\uc720\uc758 \uc5ed\ub7c9\uc744 \ub354\uc6b1 \ubc1c\uc804\uc2dc\ud0a4\ub294 \ub178\ub825\uc774 \ud544\uc694\ud569\ub2c8\ub2e4.<\/p>\n<\/li>\n<\/ul>\n<h3>\uacb0\ub860<\/h3>\n<p>AI\uc758 \uc138\uacc4 \ubaa8\ub378 \ud655\uc7a5\uc740 \ud14d\uc2a4\ud2b8 \uae30\ubc18\uc758 AI\ub97c \ub118\uc5b4, \uc2e4\uc81c \ud658\uacbd\uc744 \uc774\ud574\ud558\uace0 \uc0c1\uc0c1\ud558\uba70 \uc608\uce21\ud558\ub294 \uc9c0\ub2a5\ud615 \uc2dc\uc2a4\ud15c\uc73c\ub85c\uc758 \uc9c4\ud654\ub97c \uc758\ubbf8\ud569\ub2c8\ub2e4. \uba40\ud2f0\ubaa8\ub2ec AI \uae30\uc220\uacfc \uacb0\ud569\ub41c \uc138\uacc4 \ubaa8\ub378\uc740 AI\uc758 \ub2a5\ub825\uc744 \ud55c \ucc28\uc6d0 \ub04c\uc5b4\uc62c\ub9ac\uba70, \uacfc\ud559, \uc0b0\uc5c5, \uc608\uc220, \uc77c\uc0c1\uc0dd\ud65c \ub4f1 \uc6b0\ub9ac \uc0b6\uc758 \ubaa8\ub4e0 \uc601\uc5ed\uc5d0 \ud601\uc2e0\uc801\uc778 \ubcc0\ud654\ub97c \uac00\uc838\uc62c \uac83\uc785\ub2c8\ub2e4.<\/p>\n<p>AI\uac00 \ub9cc\ub4e4\uc5b4\uac08 \ubbf8\ub798\ub294 \ubb34\uad81\ubb34\uc9c4\ud55c \uac00\ub2a5\uc131\uc744 \ub0b4\ud3ec\ud558\uace0 \uc788\uc9c0\ub9cc, \ub3d9\uc2dc\uc5d0 \ud574\uacb0\ud574\uc57c \ud560 \uc724\ub9ac\uc801, \uc0ac\ud68c\uc801 \uacfc\uc81c\ub3c4 \uc548\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ubcc0\ud654\uc758 \ubb3c\uacb0 \uc18d\uc5d0\uc11c \uc6b0\ub9ac\ub294 AI\ub97c \uc62c\ubc14\ub974\uac8c \uc774\ud574\ud558\uace0, \uc7a0\uc7ac\uc801 \uc704\ud5d8\uc5d0 \ub300\ube44\ud558\uba70, \uc778\uac04 \uace0\uc720\uc758 \uac00\uce58\ub97c \uc9c0\ud0a4\ub294 \uc9c0\ud61c\ub97c \ubc1c\ud718\ud574\uc57c \ud560 \uac83\uc785\ub2c8\ub2e4. AI\uc640 \ud568\uaed8 \ub354 \ub098\uc740 \ubbf8\ub798\ub97c \ub9cc\ub4e4\uc5b4\ub098\uac00\uae30 \uc704\ud55c \uc5ec\uc815\uc740 \uc774\uc81c \ub9c9 \uc2dc\uc791\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<div class=\"content-links-section\">\n<p><strong>INTERNAL_LINKS:<\/strong> (\uc720\uc0ac\ud55c \uac8c\uc2dc\uae00 \uc785\ub825)<\/p>\n<p><strong>EXTERNAL_LINKS:<\/strong> <a href=\"https:\/\/ai.googleblog.com\/2021\/04\/pathways-new-model-for-ai-learning.html\" target=\"_blank\" rel=\"noopener noreferrer\">Google AI Blog &#8211; Pathways: a new model for AI learning<\/a>, <a href=\"https:\/\/deepmind.google\/discover\/blog\/gato-a-generalist-agent\/\" target=\"_blank\" rel=\"noopener noreferrer\">DeepMind &#8211; Gato: A Generalist Agent<\/a>, <a href=\"https:\/\/openai.com\/dall-e-2\/\" target=\"_blank\" rel=\"noopener noreferrer\">OpenAI &#8211; DALL-E 2<\/a><\/p>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI Beyond Text: The Evolution of World Models<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence (AI) is advancing at an astonishing pace. Just a few years ago, AI was used mainly for performing specific tasks or analyzing data. More recently, however, the emergence of large language models (LLMs) such as ChatGPT has dramatically advanced AI\u2019s ability to understand and generate text. Now AI is moving beyond text and into a new stage: understanding\u2014and even predicting\u2014the real environments in which we live. This is the expansion of the <strong>world model<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This article explores the fascinating topic of world-model expansion in AI. It explains, in a clear and accessible way, how AI moves beyond text to process visual information, sound, motion, and other sensory data, and how it uses these inputs to imagine and predict the world around it. It also examines the current frontier of world-model technology and offers a concrete look at how it may affect our lives in the future.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Is a World Model?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The term <strong>world model<\/strong> may sound a bit abstract. Put simply, a world model is the internal knowledge structure AI uses to understand and interact with the world. Just as humans learn how the world works through experience, AI learns the rules and patterns of the world through data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Earlier AI systems were mostly specialized for particular tasks. For example, an image-recognition AI was good only at recognizing images, and a speech-recognition AI was good only at speech. But AI with a world model goes beyond processing isolated pieces of information. It learns the relationships and causal connections between them.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For example, if AI watches a video of someone throwing a basketball, it may learn relationships such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>When the ball leaves the hand, it begins to move.<\/li>\n\n\n\n<li>Because of gravity, the ball falls downward.<\/li>\n\n\n\n<li>If it goes into the hoop, it becomes a score.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">In this way, AI is not just recognizing that \u201cthe ball is moving.\u201d It is beginning to form an internal simulation of <strong>why<\/strong> it moves and <strong>how<\/strong> it moves. That is the essence of a world model.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why Do World Models Matter?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The expansion of world models in AI has several important implications.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Deeper understanding and reasoning:<\/strong><br>AI can move beyond memorizing information and begin understanding the relationships between pieces of information, allowing it to reason logically. This is essential for solving complex problems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Prediction and planning:<\/strong><br>AI can use the current situation to predict what may happen next and create better plans for reaching a goal. This is especially important in fields such as autonomous driving and robotics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>New forms of creativity and discovery:<\/strong><br>Because AI can better understand the structure of the world, it may generate new ideas or discover patterns humans have not yet noticed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>More natural interaction:<\/strong><br>AI can better understand human behavior and intent, allowing it to communicate and collaborate more naturally and efficiently with people.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These abilities allow AI to move beyond being a simple tool and become a more active and intelligent presence across many parts of life.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI Learns Beyond Text and Into the Environment<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Traditional AI models focused mainly on text data. LLMs such as ChatGPT demonstrated remarkable capabilities by learning from massive amounts of text. But the world we live in is not made only of text. It is full of sounds, images, video, touch, and many other forms of sensory information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">AI with a world model is increasingly learning how to understand and process these many forms of data together. This is often described as <strong>multimodal AI<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Multimodal AI: Perceiving the World in Richer Ways<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Multimodal AI<\/strong> refers to AI that can process multiple forms of input at the same time. For example, it can do tasks such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Describe an image:<\/strong> Show AI a photograph, and it explains the content in text.<br>Example: \u201cChildren are playing on a beach under a blue sky.\u201d<\/li>\n\n\n\n<li><strong>Answer questions about a video:<\/strong> Show AI a short video and ask, \u201cWhat is that person doing?\u201d and it answers based on what it sees.<\/li>\n\n\n\n<li><strong>Generate an image from speech:<\/strong> Say, \u201cDraw a red sports car driving on the road,\u201d and the AI creates a corresponding image.<\/li>\n\n\n\n<li><strong>Understand text and images together:<\/strong> AI can examine a product description and a product image together and infer the product\u2019s characteristics.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These multimodal capabilities help AI understand the world in a richer and more accurate way\u2014much like humans who see, hear, and interpret the world through multiple senses at once.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Synergy Between World Models and Multimodal AI<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">World models play a central role in strengthening multimodal AI. If multimodal AI gathers information from different senses, the world model integrates those inputs into a consistent understanding of how the world works.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Imagine AI receives the following inputs at the same time:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Vision:<\/strong> A video of a ball flying through the air<\/li>\n\n\n\n<li><strong>Sound:<\/strong> A \u201cthwack\u201d noise<\/li>\n\n\n\n<li><strong>Text:<\/strong> \u201cA baseball player hit the ball\u201d<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">A world model connects these together and learns a causal relationship: the act of hitting the ball causes both the sound and the ball\u2019s movement. From that learning, AI can begin predicting what may happen in similar situations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Recent <strong>foundation models<\/strong> or <strong>large foundation models<\/strong> are good examples of the potential of multimodal world models. These models are trained on massive amounts of text, images, code, and other forms of data, giving them broad, general-purpose abilities across many tasks rather than expertise in only one narrow area.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Era of AI That Imagines and Predicts Environments<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI with world models is beginning to do more than process given information. It is starting to <strong>imagine<\/strong> and <strong>predict<\/strong>. This suggests that AI may evolve into something more creative and proactive.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI That \u201cImagines\u201d: Generating New Content<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI\u2019s ability to imagine often appears in the form of generating new content.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Image generation:<\/strong><br>Models such as DALL\u00b7E, Midjourney, and Stable Diffusion create original images from text prompts. Even abstract prompts\u2014such as \u201ca cat in a spacesuit eating pizza on the moon\u201d\u2014can be rendered convincingly.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Music generation:<\/strong><br>AI can compose new music in a given style or mood, or rearrange existing pieces.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Story and screenplay generation:<\/strong><br>AI can produce stories or movie scripts using characters, settings, and plot elements as starting points.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Virtual environment simulation:<\/strong><br>AI can create realistic interactions in game worlds or simulated environments and model unexpected situations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This kind of AI imagination is opening new possibilities in art, design, and entertainment.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI That \u201cPredicts\u201d: Preparing for the Future<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">AI\u2019s predictive capabilities are even more directly useful for solving real-world problems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Climate forecasting:<\/strong><br>AI can analyze complex climate data to predict future temperature changes, rainfall patterns, and extreme weather events.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Disease spread prediction:<\/strong><br>AI can analyze outbreak data to estimate how infectious diseases may spread and help design better public-health responses.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Economic and financial forecasting:<\/strong><br>AI can analyze economic indicators and market data to predict stock movement, currency changes, and other trends.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Traffic flow prediction:<\/strong><br>AI can analyze live traffic data to predict congestion and recommend better routes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Predicting robot behavior and environment changes:<\/strong><br>Robots can predict how surrounding objects will move, helping them avoid collisions and work more efficiently. For example, a robot may predict that an object will fall and move quickly to catch it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In these ways, AI\u2019s predictive ability can improve both safety and efficiency across society.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Attempts Such as Google DeepMind\u2019s Gato<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One interesting example of the potential of world models is <strong>Gato<\/strong>, developed by Google DeepMind. Gato is a single AI model capable of performing more than 600 different tasks, including text generation, image captioning, gameplay, and robotic arm control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Gato can accept many forms of input\u2014text, images, even button presses\u2014and produce consistent behavior across tasks. This suggests that AI may one day develop more general intelligence that is not confined to a single task, but can adapt to many kinds of environments and challenges. Models like Gato show that AI is getting closer to understanding the world more broadly and solving more complex problems.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Future of World-Model Expansion and Our Lives<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The expansion of world models in AI is likely to have increasingly deep and widespread effects on everyday life.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What Future AI May Look Like<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Smarter, more adaptive AI assistants:<\/strong><br>AI assistants may move beyond simply responding to commands and begin anticipating our intentions, proactively offering useful information, and handling complex daily tasks on our behalf.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>More immersive virtual reality and metaverse experiences:<\/strong><br>AI may help build virtual environments that are difficult to distinguish from reality and create virtual characters that interact naturally with users.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>The spread of intelligent robots:<\/strong><br>AI-powered robots may work independently or alongside humans in homes, factories, hospitals, and many other settings, improving quality of life.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Acceleration of scientific research:<\/strong><br>AI may analyze enormous datasets and run complex simulations to speed up drug discovery, materials science, and space exploration.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Personalized education and healthcare:<\/strong><br>AI may understand a learner\u2019s study style or a patient\u2019s condition in depth and provide tailored educational content or medical services.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Potential Risks and Challenges<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Of course, along with these promising possibilities come challenges that must be addressed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Ethical concerns:<\/strong><br>There are worries that AI may replace human jobs or cause social disruption through inaccurate predictions. Bias and misuse are also serious concerns.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Data privacy and security:<\/strong><br>Because AI relies on large amounts of data, protecting privacy and securing information will become even more important.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Control and safety issues:<\/strong><br>As AI becomes more advanced, there is concern about whether it could act in unexpected ways or operate outside human control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Widening technological inequality:<\/strong><br>There is also concern that the benefits of AI development may concentrate in only part of society and deepen inequality.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What We Need to Prepare For<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The expansion of world models in AI is not a temporary trend. It is a major direction of technological development. To respond effectively, we need to prepare in several ways.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Build AI literacy:<\/strong><br>It will become increasingly important to understand the basics of AI, use it appropriately, and evaluate the trustworthiness of the information it produces.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Learn new skills:<\/strong><br>We need to continue learning the new tools and capabilities required in the age of AI.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Develop social discussion and institutions:<\/strong><br>The ethical and social impact of AI will require ongoing public discussion and thoughtful rules and governance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Strengthen uniquely human capabilities:<\/strong><br>Creativity, critical thinking, and empathy\u2014qualities that are difficult for AI to replace\u2014will become even more important.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The expansion of world models in AI represents a shift from text-based systems to intelligent systems that can understand, imagine, and predict real environments. Combined with multimodal AI, world models elevate AI to a new level and are likely to bring major changes across science, industry, art, and everyday life.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The future created by AI holds enormous promise, but it also raises ethical and social challenges that must be addressed. In the midst of these changes, we will need the wisdom to understand AI properly, prepare for its risks, and protect what is most valuable about being human. The journey toward building a better future with AI is only just beginning.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ucc57GPT \uac19\uc740 AI\uac00 \ud14d\uc2a4\ud2b8\ub97c \ub118\uc5b4 \uc2e4\uc81c \ud658\uacbd\uc744 \uc774\ud574\ud558\uace0 \uc608\uce21\ud558\ub294 &#8216;\uc138\uacc4 \ubaa8\ub378&#8217;\uc758 \uc2dc\ub300\ub85c \ub098\uc544\uac00\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 AI\uc758 \uc138\uacc4 \ubaa8\ub378 \ud655\uc7a5 \uac1c\ub150\uc744 \uc27d\uac8c \uc124\uba85\ud558\uace0, \ud604\uc7ac \uae30\uc220 \uc218\uc900\uacfc \ubbf8\ub798 \uc804\ub9dd, \uadf8\ub9ac\uace0 \uc6b0\ub9ac \uc0b6\uc5d0 \ubbf8\uce60 \uc601\ud5a5\uc744 \ub2e4\ub8f9\ub2c8\ub2e4.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[4],"tags":[455,453,452,331,330,327,90,332,82,140,454,456,55,35,133,326,329,328],"class_list":["post-108","post","type-post","status-publish","format-standard","hentry","category-ai","tag-ai-expansion","tag-ai-imagination","tag-ai-prediction","tag-ai-","tag-deep-learning","tag-foundation-models","tag-machine-learning","tag-multimodal-ai","tag-the-future-of-ai","tag-world-model","tag-55","tag-35","tag--ai","tag-326","tag-329","tag-gpt"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/posts\/108","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=108"}],"version-history":[{"count":1,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/posts\/108\/revisions"}],"predecessor-version":[{"id":131,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=\/wp\/v2\/posts\/108\/revisions\/131"}],"wp:attachment":[{"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=108"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=108"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ai-cloud.kr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}