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노벨상을 받은 딥러닝의 선구자들...
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style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset " id="SE-7ba1da78-0d8e-477c-900d-d5ebe5e56635"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-04049568-6e48-4392-b73f-49ea3d2c6b75"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-e32a9d2d-71f1-4257-8c0e-99cd1bfd7471">안녕하세요. 까발스 구독자 여러분...</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-c3064d8f-147e-437c-907a-9bdbb9230c3a"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-27d69585-fa8a-4d0e-9437-890d26b04051"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-15cf82ab-3a39-41a3-9e5f-5073ba73c134"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-fd5629a6-155b-4c68-9cc0-ac493be4524a">'한강' 작가가 노벨 문학상을 수상하며, 우리나라도 고 김대중 대통령의 노벨 평화상에 이어 2 개의 노벨상 수상자를 배출하게 되었습니다. 그러면서 노벨상에 대한 관심이 다시 높아지게 되었는데요... 인공지능 분야에서도 노벨상이 나오는 쾌거(?)가 있었죠.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-7a2d8457-a548-4e31-b3ed-86ab27101f7d"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-c8a4eb0e-0798-4a93-8a4b-12e497e75f54"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-15ebc8a5-750d-42ce-9fae-9933a917cd2e"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-52a659f4-19e7-4940-8088-bad17b49fe5a">AI 기술의 근본적인 발전에 기여한 존 홉필드와 제프리 힌튼 교수가 2024년 노벨 물리학상 수상자가 되었다는 소식이 있었어요. 이 두 분의 연구는 현재 AI가 어떻게 학습하고, 데이터를 처리하며, 스스로 발전할 수 있는지를 설명하는 핵심 이론을 제공했죠.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-42aea2b7-3614-4096-8b81-a2e23161b71b"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-524114b2-a97a-4a82-b04f-397382b509a3"></span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-image se-l-default" id="SE-ab67cc9e-32d9-4b40-9ee8-5e25cfa656f7"> <div class="se-component-content se-component-content-normal"> <div class="se-section se-section-image se-l-default se-section-align-center" style="max-width:407px;"> <div class="se-module se-module-image" style=""> <a href="#" class="se-module-image-link __se_image_link __se_link" style="" onclick="return false;" data-linktype="img" data-linkdata='{"id" : "SE-ab67cc9e-32d9-4b40-9ee8-5e25cfa656f7", "src" : "https://scs-phinf.pstatic.net/MjAyNDEwMjNfMTcg/MDAxNzI5NjQwODMzODcw.IMZPoko0BWYaAgrZVCXEKJWtLPn0BB9joPGHchpnfN4g.DkJftsD6Ty8h4hV4M3P-1bwrx_aOYwsHHyZHI1MCadcg.PNG/SE-ab67cc9e-32d9-4b40-9ee8-5e25cfa656f7.png", "originalWidth" : "400", "originalHeight" : "394", "linkUse" : "false", "link" : ""}'> <img src="data:image/gif;base64,R0lGODlhAQABAIAAAP///wAAACH5BAEAAAAALAAAAAABAAEAAAICRAEAOw==" alt="" class="se-image-resource" /> </a> </div> </div> </div> </div> <div class="se-component se-text se-l-default" id="SE-08c456a6-03a0-45d3-92d5-00e424319fcb"> <div class="se-component-content"> <div class="se-section se-section-text se-l-default"> <div class="se-module se-module-text"> <!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-151bb843-d15f-4b5a-bc21-cfb819cbe7d5"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-c0061681-5bdf-4cba-8e2e-1efc9bfce5f4">그런데 왜 소프트웨어 기술인 인공지능 기술이 노벨 물리학상을 받게 된 것일까요?</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-8384c442-cf5a-42a6-b6f6-8f73079570dc"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-1e102f77-d3fd-4244-baa8-bae301b9b056"></span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-custom se-l-default" id="SE-3b7bfe4c-55d5-4f6b-a45d-6c38b7041fc8"> <div class="se-component-content"> <div class="se-section se-section-custom se-section-align- se-l-default"> <!--@CUSTOM|SE-3b7bfe4c-55d5-4f6b-a45d-6c38b7041fc8--> </div> </div> </div> <div class="se-component se-quotation se-l-quotation_line" id="SE-fa54ff15-ff43-49b9-88a3-3a558c67473b"> <div class="se-component-content"> <div class="se-section se-section-quotation se-l-quotation_line"> <blockquote class="se-quotation-container"> <div class="se-module se-module-text se-quote"><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="" id="SE-5ee9d681-f3c9-445e-86ca-a7e5a15f89eb"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-be27be66-6621-4684-b189-84c94fd95de6"><b>AI 발전에 기여한 두 명의 교수: 존 홉필드와 제프리 힌튼</b></span></p><!-- } SE-TEXT --></div> </blockquote> </div> </div> </div> <div class="se-component se-text se-l-default" id="SE-80515601-caff-44d2-9d68-b7348ae6b85f"> <div class="se-component-content"> <div class="se-section se-section-text se-l-default"> <div class="se-module se-module-text"> <!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-438703e3-3c52-48b3-96bd-ea82df553de0"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-eac2e57a-e11a-47db-b4ea-13ae40d5f431">먼저, 물리학자인 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-95695343-90ba-4d0f-98c9-84d6c773be6e"><b>존 홉필드 </b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-a2f9fe1f-168d-44c0-b385-0e64964d82cd">교수는 1982년에 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-ebfe8db3-9eda-48ce-b313-ba1e3075afec"><b>홉필드 네트워크</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-0250ec9d-3b09-45bd-95e7-660d35d7e6a5">라는 신경망 모델을 제안했어요. 이 신경망은 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-cfcdfcc4-e5ff-4234-8c34-e04ba59e5ee8"><b>인간 뇌가 정보를 기억하고 처리하는 방식</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-489c7f97-d198-4ec9-9bd8-3ec5e1919570">을 모방한 것으로, 그 당시 AI 연구에 큰 혁신을 가져왔었어요. </span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-49b4a785-9598-423d-8bbf-46b911995bfe"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-0fedc850-1fab-47eb-9d6d-934e9e522fd4"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-9e5aee93-96dc-4be7-bd46-ffbee7ec6316"><span style="color:#ff5f45;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-1fbd038b-bb50-4e09-9e1f-074a8043a718"><b>홉필드 네트워크</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-7eb197fe-a1b9-4dda-bf31-bfde0ea1eabd">는 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-4e6d9129-e617-4500-b431-40c2fafd4c09"><b>이진값</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-108630f4-7505-4726-b312-277b6cb1bf92"><sup><b> </b></sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-68791144-364a-4049-bd06-9d31caaa725f"><sup>binary values (0과 1을 -1과 1로 변환) </sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-b6134369-9916-48fa-a7a6-d9cdbca0ce48">을 사용하는 인공 신경망으로, 뇌의 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-26da2fe9-cec3-4c90-8976-a4088544c849"><b>뉴런</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-d5686017-470c-4acb-848e-9627e4fe7095">들이 어떻게 서로 상호작용하며 패턴을 인식하는지에 대한 이론적 기반을 마련했어요. 기존의 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-dfb3f8c4-70d8-4b11-a93d-5bee2490131e"><b>퍼셉트론</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-ac0358f1-76b7-4de0-8520-ee1d71131071"> </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-302177b9-bf9a-431a-93ba-26740b8593df"><sup>perceptron </sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-ca638fc5-85fa-44c4-b40d-af2d3b3242cb">은 연산이나 학습과정에서 지속적으로 가중치를 변경해야 했었는데, 홉필드 네트워크는 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-cf452297-8663-4490-96e6-64345e51e37d"><b>고정된 가중치로도 완전한 정보를 연상</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-f2576489-b9c5-4ac8-98e8-811231479a90">하는 장점이 있죠.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-5947ce4c-2e07-4a96-9397-b38ae2136e83"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-d60e39f0-304b-4679-b50e-c8830bb02f0e"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-0bda4e13-6c05-43fa-b72d-0aa71d61d6b8"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-5d4fdc59-4504-4fb2-be6f-c49df4db50a7">이 모델은 일종의 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-a85b5eb7-9195-4f36-8fbb-09075d08ed45"><b>연상 기억</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-36ff8eb2-a735-411f-b09e-e23ec2b2b7ad"><sup> associative memory</sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-07677fac-be56-4178-83d0-95a685c586ac"> 방식으로 작동해요. 쉽게 말해, AI가 일부 정보를 학습하고 기억한 후, 그 정보를 이용해 새로운 데이터를 유추해낼 수 있다는 개념이에요. 이 과정에서 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-89f38dce-623b-4d61-8de2-2d8d798787bd"><b>에너지 함수</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-91e1e923-e873-4a46-b249-2335e26fd187">라는 개념이 사용되는데, 이를 통해 시스템이 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-6eaf4c13-10f3-419c-a08d-f4feb73bbdfe"><b>가장 안정적인 상태(로컬 최소점)</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-cb941a4b-52ef-4ab3-a873-a84b381abf0f">에 도달할 수 있도록 최적화가 이루어집니다.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-992f8dc5-074d-421d-a98c-f881d747f8f0"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-7102003e-8dd6-4d3a-a56e-4a6cc95f1c71"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-f793f8d6-0244-4c1a-b248-57a4c60cbf4f"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-aa9b5377-fd0c-45ad-8188-0038d0a0ef80">이 연구는 AI가 단순히 계산하는 기계를 넘어, </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-0e711a94-a35d-458c-a181-5e7caea5d88c"><b>사람처럼 기억하고 사고하는 기계</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-fe9cd019-7c51-4e4c-9658-d1a020104658">로 발전할 수 있는 기틀을 마련했어요. 홉필드 교수의 연구 덕분에 현재 AI 시스템에서 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-11612d48-6879-4834-a670-ea23effb29e4"><b>기억과 학습의 효율성</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-d4b30808-8d8e-47aa-8d38-4cab249a5e15">이 크게 향상되었답니다.</span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-quotation se-l-default" id="SE-d31affb7-d57d-4453-9b74-02e7dfa84601"> <div class="se-component-content"> <div class="se-section se-section-quotation se-l-default"> <blockquote class="se-quotation-container"> <div class="se-module se-module-text se-quote"><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="" id="SE-173c05d5-be2c-4e11-ac9d-404b2d597928"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-db495464-59d8-4a70-9048-f9fc83b0d620">덕분에 인공지능의 봄을 맞이하게 되었다는 평가를 받았죠.</span></p><!-- } SE-TEXT --></div> </blockquote> </div> </div> </div> <div class="se-component se-text se-l-default" id="SE-2e4e7edd-68d2-4202-91bb-dec998c6bede"> <div class="se-component-content"> <div class="se-section se-section-text se-l-default"> <div class="se-module se-module-text"> <!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-00cb3e5b-db71-4857-a0e8-5b24a721310a"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-eb8ef6bc-bce0-4be0-a975-17fd3bc2600c"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-a509843e-1d43-4d2b-92ed-7001e3171a78"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-c7908106-baa4-49eb-86c8-02130d2743cc"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-91ab57f8-d404-4ee5-898f-e98e36769537"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-a87cdff0-85af-4eee-b2e3-79230831e496"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-12ba462d-cac4-4c67-af7d-ef16c58d01bd"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-5eb6ee31-6d15-4ad4-855d-737ad233ff7d"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-3df2144f-2e59-4ad5-8a8c-b1757ae6e040"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-a15ce9bb-50bf-470f-8192-e0a5519fe0d4">한편, 컴퓨터과학자이자 인지과학자, 인지심리학자인 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-c6f2afa6-5cca-44df-89e6-8d318fb9ae94"><b>제프리 힌튼</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-dba4b95a-2244-40ef-99f5-92d1341142ec"> 교수는 AI의 </span><span style="color:#ff5f45;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-57000b93-578f-46e8-be75-0ab8fb5cddb1"><b>딥러닝</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-4266684f-b6db-4437-a693-f7563d2649a3"> </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-c2fe79fb-30d9-48bb-a1ef-77c03e3e87f2"><sup>deep learning </sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-a883384c-ba23-4cea-89ee-22445f434bed">기술을 발전시킨 선구자로, 현대 AI 기술의 기초를 세운 인물로 꼽힙니다.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-f6a62a31-4ea8-40ca-8583-4274aaabdc4a"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-bdb563bf-8828-40aa-a1e1-84ac6d8b59ab"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-18fafc98-0912-45aa-94af-4a764b324a39"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-a8e5392b-a276-4a57-9893-5535dba49b78">딥러닝의 창시자로 불리우죠.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-912a25b1-b27b-4c5b-bd64-717474c453c0"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-a4e29985-9bcc-4ba2-ae8e-bd99d45e592f"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-9afe1228-51be-44c1-ba31-5367699c5908"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-bce209ea-8450-4bbc-bd00-17cbe8ffe68d"> 딥러닝은 AI가 대량의 데이터를 분석하고 스스로 학습하며 패턴을 인식하는 방식인데요, 특히 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-bf6176e2-4fde-4348-83a3-07955f14c988"><b>다층 신경망</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-9fe8d7ea-845b-4786-b21d-e275a86d16a0">을 사용해 데이터 처리 능력을 크게 높였어요.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-5efbb5bc-1d35-4f41-a608-2a16931ddc71"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-c1a449a6-e2e1-478a-8c43-4a9ed83993c7"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-157366c5-7073-4d77-a5be-d2eb1dfa270f"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-58f1621b-e4de-4943-bd75-3f8208a89574">힌튼 교수는 1980년대부터 딥러닝의 가능성을 주장하며 연구를 이어왔고, 특히 </span><span style="color:#ff5f45;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-bfda1743-ed7c-4ef8-bbbc-d7562ad0210f"><b>역전파 알고리즘</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-0510d524-e2ea-413c-84a3-cf020a45a5cb"> </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-5fc81860-86e4-44db-bb82-3673a53cf285"><sup>backpropagation</sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-451294f6-0e30-4879-9074-d684dfa12789"> 을 도입해 딥러닝이 본격적으로 실현될 수 있는 방법을 제시했습니다. 역전파 알고리즘은 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-51a8d4be-7e01-4adb-893d-cf02709825c2"><b>기계 학습의 오차를 줄여주는 방법</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-8166344a-f2a1-4e97-82d1-755d7552ee60">으로, 데이터를 처리하는 중 발생하는 오류를 추적해 수정함으로써 AI가 더욱 정교해질 수 있도록 해주죠.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-43b76283-dcb6-4bf3-9a72-8d00d55f624e"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-95862af0-a2cc-4aa0-82c1-da62b06a96f1"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-e39fb430-fd33-4a0f-993a-b1278fa7637b"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-b7c962ca-1691-4d48-8f5c-5f31966be14f">이 기술 덕분에 AI는 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-998fc17f-b6c0-4180-8715-c17c4c6ee6b3"><b>이미지 인식</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-69f3c364-c768-423f-9cff-33105e4eea7b">, </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-fd77dffb-6e54-4159-b528-c3f970a8742c"><b>자율주행차</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-7242185b-f26a-4496-aff6-5990b2bf5c34">, </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-0300f0d8-5ab9-4132-b2a2-0e941705425a"><b>음성 인식</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-9a0ba45b-55fd-4515-8d4b-922c0c55e520"> 같은 다양한 분야에서 혁신을 이루었어요. 특히 2012년 힌튼 교수와 그의 제자들이 개발한 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-526da9a1-5951-4f1b-a815-cc667fc771ae"><b>알렉스넷</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-1848cb1e-7bd6-4172-b245-d32c734adda0"> </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-4629e938-370a-4d42-bbfa-f624641aebd7"><sup>AlexNet</sup></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-08df4e37-e4c2-441b-803b-0a6a75fd7373"> 은 이미지 인식 대회에서 큰 성과를 내며 딥러닝의 실용 가능성을 입증했죠. 이후 딥러닝은 빠르게 발전하며 다양한 분야에서 실질적인 성과를 내기 시작했습니다.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-303f67d2-d77f-4bc9-8fb2-ab5df364a56a"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-45899bda-dfcb-4295-955e-fe6f5269ea92"></span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-quotation se-l-quotation_line" id="SE-a03eb337-cf88-4ab2-8886-6a800ed0efca"> <div class="se-component-content"> <div class="se-section se-section-quotation se-l-quotation_line"> <blockquote class="se-quotation-container"> <div class="se-module se-module-text se-quote"><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="" id="SE-ab728076-832e-4cc1-816a-07a80f576191"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-7c8d3568-1240-4090-99b2-5ccf90a27445"><b>두 연구자의 만남: 물리학과 AI의 융합</b></span></p><!-- } SE-TEXT --></div> </blockquote> </div> </div> </div> <div class="se-component se-text se-l-default" id="SE-8aa408e7-1815-41d7-9580-7e95b65ff28a"> <div class="se-component-content"> <div class="se-section se-section-text se-l-default"> <div class="se-module se-module-text"> <!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-354a1ab8-2537-45b5-a5fa-2a1dc79b7e7f"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-b9c88174-cf2e-45bd-812f-67c66c87f063"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-74977be8-f635-4ee6-ae4c-21a15e8eba69"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-1792d8e0-e43c-48e9-8bc5-7e0d5a742001">홉필드 교수와 힌튼 교수의 연구는 서로 다른 분야처럼 보이지만, AI 기술의 근본 원리를 이해하는 데 서로 보완적인 역할을 했어요. 홉필드의 신경망 이론은 물리학에서 사용하는 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-d9105f38-51de-4f53-a130-3a0aea075503"><b>에너지 최소화 원리</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-849df64a-d86d-434d-b2b3-a8be003e1298">를 기반으로 하고 있으며, 이를 통해 신경망이 어떻게 패턴을 인식하고 데이터를 처리할 수 있는지를 설명했죠. 힌튼 교수의 딥러닝은 이 신경망 개념을 보다 복잡하고 깊이 있는 구조로 확장한 것이에요.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-43e15c99-650c-4b46-bf7b-fdd602f62c0e"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-cec6c2b0-5d05-4b16-94a5-b8be19ccfe92"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-e3a2ea7e-46e8-4a23-a6a4-9b7c4d45c866"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-04f37bab-866b-4c30-bf66-efa4ba9ca4a5">이 두 연구는 각각의 학문적 배경을 뛰어넘어 AI의 근본적인 발전을 이끌었고, 지금 우리가 사용하는 많은 AI 기술들이 이들의 연구를 기반으로 하고 있습니다. 물리학적 사고와 AI 기술이 융합된 이들의 연구는 오늘날 AI의 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-2635343a-d015-49ee-b8ab-ea5bf096c7bf"><b>자율 학습 능력</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-0fd5cb98-6151-4ac2-9628-09b75806cf29">을 강화하고, AI가 인간처럼 학습하고 사고하는 방향으로 나아갈 수 있는 길을 열어준 셈이에요.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-c52503c7-d0a9-4d0a-ba88-fbd685ceeff5"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-e563b9db-e95f-4428-b084-f79a957eb74f"></span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-quotation se-l-quotation_line" id="SE-2ac19df8-d393-4718-ba00-5a609ea73e9c"> <div class="se-component-content"> <div class="se-section se-section-quotation se-l-quotation_line"> <blockquote class="se-quotation-container"> <div class="se-module se-module-text se-quote"><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="" id="SE-cebd57e7-b693-4cd8-b550-b8908b9ff3ef"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-c2e6af17-95cb-4b38-b94a-540c03957d31"><b>노벨상 수상의 의의</b></span></p><!-- } SE-TEXT --></div> </blockquote> </div> </div> </div> <div class="se-component se-text se-l-default" id="SE-cc5f639e-53a3-4bd0-b5ca-098fd85f581b"> <div class="se-component-content"> <div class="se-section se-section-text se-l-default"> <div class="se-module se-module-text"> <!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-6360a511-1acf-4d94-9ba8-b72b43fa665e"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-449998b7-9294-49ea-93f4-61914d5a65f6">이번 노벨 물리학상은 단순히 물리학적 발견을 넘어서, </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-8835ffc3-aa09-4c0c-92a6-cb3bb9d9b9fe"><b>AI 기술이 물리학적 원리를 어떻게 적용해 발전할 수 있는지</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-f14d11b9-5097-4f47-9c39-f9ed64d88432">를 보여주는 사례로 남을 거예요. 두 교수의 연구는 AI가 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-d736d942-52ad-461d-8051-20eb02505eb5"><b>더 효율적이고 정교하게 학습</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-52e66b3c-0291-4e07-af78-4411d5ca637b">할 수 있도록 도왔으며, 이를 통해 </span><span style="color:#0095e9;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-2f51ecc5-4bc7-43c2-ae6b-5dc626142ae9"><b>AI와 인간의 공존</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-b8bb96e0-fcae-488c-926a-f6f08841c9da">을 위한 미래를 한 단계 앞당겼거든요.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-281348c6-8c53-4845-ae61-02594b3ccf9a"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-2302d300-94cd-4736-a569-2b45882d8d57"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-77571534-c13d-4d07-a3c5-124ac2853ecd"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-18b4b3a8-142a-40d0-a265-93de573e02f2">특히 홉필드 교수의 연구는 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-d46e3b82-7075-42f9-9593-70f859b56d5f"><b>AI의 기본 원리를 물리학적 관점에서</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-91175da1-89ea-489b-a4fc-ebffdd7bb827"> 풀어냈고, 힌튼 교수는 이를 토대로 AI가 현실적으로 어떻게 적용될 수 있을지를 제시하며 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-db6735ed-3dc5-4610-9f16-1c1add631c69"><b>실용적인 AI 모델</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-d3dc324a-b546-480d-8620-cd44e79eb669">을 완성해냈어요. </span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-6eab8407-46b4-4ca2-a6fd-523ef40a327c"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-ce2cd900-2f47-4a54-8ae9-6faa657fa172"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-2074d0b7-677c-449b-9d70-e617d299fd77"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-524ef4db-c2a6-4fa7-96e9-4a6ba7dc6291">이들의 연구는 AI 분야뿐만 아니라 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-8e6e0aa7-124c-4ab3-9ac7-bbfd8b13627a"><b>뇌 과학</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-0e331b1b-6fe1-4f11-8d6f-38ff667ace4d">, </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-1b5c3241-784e-46c0-980d-445c3bf55172"><b>신경 과학</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-4a624a24-366a-4fa7-a99d-47af0df1c9c1">, </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-06bec837-10af-42b3-8510-afb785e69611"><b>의료 분야</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-db9cafc7-6d04-4026-b9d4-fad332de280a"> 등에서도 큰 파급 효과를 미치고 있으며, 앞으로도 많은 기술 발전에 기여할 것으로 기대돼요.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-d807ce1d-758c-46d4-9c5e-f8c1893cc0de"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-26433f5a-0e92-453e-887d-123adb005202"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-fdc58b84-4578-4482-852b-d9126b1ac442"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-b48b8433-1a8f-4eef-a593-23b83dbe67a9"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-84a4ac4f-90d3-449c-a6e0-2f1cca63e4fb"><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-8cf46a02-9715-4f01-b5cd-1123699f19d6">이상으로 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-b6ec4667-4780-4195-a37b-666330d52a63"><b>존 홉필드</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-3bdcc9cf-bf9c-49c0-8c05-18f7bd6c7aef"> 교수와 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-cff7467f-6c08-4104-adc1-30bef9c6a003"><b>제프리 힌튼</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-bb56e391-2d00-4b15-9148-344f3eecceb3"> 교수가 AI 기술 발전에 기여한 연구 내용을 살펴봤습니다. 이들의 연구는 AI가 </span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-style-unset " id="SE-a413dc13-40cc-449c-bed8-29a6597fd635"><b>더 인간적이고 똑똑한 기계</b></span><span style="color:#141414;background-color:#ffffff;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-5caeacd1-1b16-4061-ade7-445a998fd6d7">로 발전하는 데 중요한 역할을 했으며, 앞으로 AI의 더 많은 가능성을 열어줄 것으로 기대됩니다.</span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-66c028d0-7068-4cb0-82f8-829ab7842577"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-77ef2e77-c643-4d52-9de4-f213907d63e6"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-5c585dd8-7846-422c-b46c-57a9f59eaf72"><span style="color:#141414;" class="se-fs-fs19 se-ff- se-weight-unset se-style-unset " id="SE-ed0210f5-08a0-4836-b379-c8d7dd34c573"></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-338fbeea-5d30-4bcc-8e4c-8a3dd29f6446"><span style="color:#0095e9;" class="se-fs-fs16 se-ff-system se-style-unset " id="SE-38036866-8e95-4c9f-b8a8-e2325150e77c"><b></b></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-a158d190-8000-4215-aedf-1f13d9a5f3cf"><span style="color:#0095e9;" class="se-fs-fs16 se-ff-system se-style-unset " id="SE-46bfe4a8-ea84-43b6-a863-f6f3f5890f01"><b></b></span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-3a9d04ac-24af-479b-80d9-1735fb205e29"><span style="color:#000000;" class="se-fs-fs16 se-ff- se-style-unset " id="SE-59aac7c8-ffd8-4e93-8159-fc1d417b4472"><b></b></span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-quotation se-l-default" id="SE-1ee15dd4-3df0-4ff0-9fef-337b2ee0deeb"> <div class="se-component-content"> <div class="se-section se-section-quotation se-l-default"> <blockquote class="se-quotation-container"> <div class="se-module se-module-text se-quote"><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-bafdfe41-e1ba-4a56-9512-a95617afdfae"><span style="color:#000000;" class="se-fs-fs24 se-ff- se-weight-unset se-style-unset " id="SE-40b087e5-cdb1-4615-b0e8-09e71df15954">ChatGPT is scary good. </span></p><!-- } SE-TEXT --><!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-3abed958-9045-4957-9e50-2d8d5940e1c9"><span style="color:#000000;" class="se-fs-fs24 se-ff- se-weight-unset se-style-unset " id="SE-be812f3b-1385-46da-956e-9dcc632715e3">We are not far from dangerously strong AI.</span></p><!-- } SE-TEXT --></div> <div class="se-module se-module-text se-cite"><p class="se-text-paragraph se-text-paragraph-align- " style="" id="SE-1e4c642f-1d34-468e-acc0-d35f5cd3e950"><span style="" class="se-fs- se-ff- " id="SE-653227e5-8761-41f4-af21-3661feeb0edc">Elon Musk , CEO, Tesla, & early Open AI investor</span></p></div> </blockquote> </div> </div> </div> <div class="se-component se-text se-l-default" id="SE-122e0f3f-8843-436e-a05b-fdbde5c137e7"> <div class="se-component-content"> <div class="se-section se-section-text se-l-default"> <div class="se-module se-module-text"> <!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align- " style="line-height:1.9;" id="SE-29da8b03-9b8a-4572-ad02-ea42687274d9"><span style="color:#000000;" class="se-fs-fs13 se-ff- se-weight-unset se-style-unset " id="SE-5c9f9c3d-e9b0-47ba-a8c2-232ee732b511"></span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-horizontalLine se-l-default" id="SE-d72889e4-7795-4b98-bda8-06dd5884abb5"> <div class="se-component-content"> <div class="se-section se-section-horizontalLine se-l-default se-section-align-center"> <div class="se-module se-module-horizontalLine"> <hr class="se-hr" /> </div> </div> </div> </div> <div class="se-component se-text se-l-default" id="SE-4bd7c921-8d79-42d3-bf6a-0170377e2cbb"> <div class="se-component-content"> <div class="se-section se-section-text se-l-default"> <div class="se-module se-module-text"> <!-- SE-TEXT { --><p class="se-text-paragraph se-text-paragraph-align-justify " style="line-height:1.9;" id="SE-70fe65b4-2201-4ace-b9dc-cb8eae8f7fa4"><span style="color:#000000;" class="se-fs- se-ff- se-weight-unset se-style-unset " id="SE-30e8e29a-3bb3-4d41-949b-d0211b9c06b5"></span></p><!-- } SE-TEXT --> </div> </div> </div> </div> <div class="se-component se-image se-l-default" id="SE-42cc158c-963e-474f-8da5-b3281ad19a10"> <div class="se-component-content se-component-content-normal"> <div class="se-section se-section-image se-l-default se-section-align-center" style="max-width:400px;"> <div class="se-module se-module-image" style=""> <a href="#" class="se-module-image-link __se_image_link __se_link" style="" onclick="return false;" 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se-style-unset " id="SE-b8e07337-10b4-484c-91d9-a7dd0ca78144"></span></p><!-- } SE-TEXT --> </div> </div> </div> </div> </div> </div> <div class="viewer_bottom_section"> <div class="viewer_paywall_none"> <p class="viewer_paywall_none_text">해당 콘텐츠는 프리미엄 구독자 공개(유료) 콘텐츠로 무단 캡쳐 및 불법 공유시 법적 제재를 받을 수 있습니다.</p> </div> <div class="viewer_paywall"> <div class="viewer_paywall_text"> <strong class="viewer_paywall_title">본 콘텐츠는 무료로 제공중입니다.<br>콘텐츠가 마음에 드셨나요?</strong> <p class="viewer_paywall_desc">까뒤집는 발명/특허 이야기 구독으로 더 많은 콘텐츠를 만나보세요!</p> </div> <div class="viewer_paywall_subscribe _PAYWALL_BUTTON" data-is-ticket="true" data-is-product="" data-price="3,500" data-url="/kbd/kabalstory/subscriptions/sps-tck-1000003155?rContentId=241022014655919wo" data-cp-name="kbd" data-sub-id="kabalstory" data-content-id="241022014655919wo" data-ba-scene-id="content" data-ba-classifier="paywall" data-ba-params='{"cp_id":"kbd","channel_id":"kabalstory","contents_id":"241022014655919wo","purchase_type":"ticket"}'> <a 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class="viewer_tag_link" data-clk="chlh_cont.tag">#노벨물리학상</a> </li> <li class="viewer_tag_item"> <a href="/kbd/kabalstory/contents?tag=%EB%85%B8%EB%B2%A8%EC%83%81" class="viewer_tag_link" data-clk="chlh_cont.tag">#노벨상</a> </li> <li class="viewer_tag_item"> <a href="/kbd/kabalstory/contents?tag=AI" class="viewer_tag_link" data-clk="chlh_cont.tag">#AI</a> </li> <li class="viewer_tag_item"> <a href="/kbd/kabalstory/contents?tag=%EC%A1%B4%ED%99%89%ED%95%84%EB%93%9C" class="viewer_tag_link" data-clk="chlh_cont.tag">#존홉필드</a> </li> <li class="viewer_tag_item"> <a href="/kbd/kabalstory/contents?tag=%EC%A0%9C%ED%94%84%EB%A6%AC%ED%9E%8C%ED%8A%BC" class="viewer_tag_link" data-clk="chlh_cont.tag">#제프리힌튼</a> </li> <li class="viewer_tag_item"> <a href="/kbd/kabalstory/contents?tag=%ED%99%89%ED%95%84%EB%93%9C%EB%84%A4%ED%8A%B8%EC%9B%8C%ED%81%AC" class="viewer_tag_link" data-clk="chlh_cont.tag">#홉필드네트워크</a> </li> <li class="viewer_tag_item"> <a href="/kbd/kabalstory/contents?tag=%EB%94%A5%EB%9F%AC%EB%8B%9D" class="viewer_tag_link" data-clk="chlh_cont.tag">#딥러닝</a> </li> </ul> </div> <div class="viewer_bottom_count_wrap"> <div class="viewer_bottom_count"> <div id="likeItCountViewDiv" class="u_likeit_list_module _reactionModule" data-sid="SCS" data-cid="p_kbd_kabalstory_241022014655919wo"> <a href="#" class="u_likeit_list_btn _button" data-type="like" aria-pressed="false" data-isHiddenZeroCount="true"> <span class="u_ico _icon"></span> <em class="u_txt _label">좋아요</em> <em class="u_cnt _count"></em> </a> </div> <span class="comment_count_wrap _COMMENT_COUNT_WRAP"> <span class="blind">댓글</span> <a href="/kbd/kabalstory/comment/241022014655919wo" class="comment_count _COMMENT_COUNT" data-zero-hidden="true" data-clk="chlh_cont.mentall"></a> </span> </div> <div id="spiLayer" class="viewer_bottom_share"> <a href="#" class="naver-splugin spi_sns_share" data-clk="chlh_cont.share" data-style="one-button" 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data-clk="chlh_cont.fcontall">다른 채널의 무료 콘텐츠 더보기</a> </div> <div class="viewer_related_category is_hidden _TEMPLATE" data-template-id="SCS_PREMIUM_CONTENT_CATEGORY" data-grid-template-column-aside="true"> <div class="viewer_related_category_title"> <a href="/kbd/kabalstory/contents?categoryId=18df8ae4a73000hkk" class="viewer_related_category_link" data-clk="chlh_cont.ctgrall"><em>정보 이모저모</em><span class="viewer_related_category_text">카테고리</span></a> </div> <ul class="viewer_related_category_list"> <li class="viewer_related_item _LAZY_LOADING_WRAP"> <div class="viewer_related_thumb _LAZY_LOADING_ERROR_HIDE"> <a href="/kbd/kabalstory/contents/241122083334019sr" class="viewer_related_thumb_link _BA_CLICK" data-clk="chlh_cont.ctgrother" data-ba-classifier="same_category_content" data-ba-scene-id="content" data-ba-params='{"cp_id":"kbd","channel_id":"kabalstory","contents_id":"241122083334019sr","category_id":"003010","content_category_id":"18df8ae4a73000hkk","referer_contents_id":"241022014655919wo"}'> <img data-src="https://scs-phinf.pstatic.net/MjAyNDExMjJfODMg/MDAxNzMyMjA3NTUxNTIy.r1AefsWpjfKI8Fp32dwScMXuGZpk2g0eCokVne-N88Yg.Y0FtypiuFY-L2oGcRn7MGAOkwBBIzepOE9t7d9ELCzEg.PNG/SE-83247f83-8bf2-40ab-8d5d-464a2da7c7c9.png?type=nfs260_260" class="_LAZY_LOADING _LAZY_LOADING_INIT_HIDE" alt="최고의 AI를 위해서는 최고의 데이터가 필요하다" width="94" height="94" style="display:none;"> <i class="viewer_related_thumb_badge">PICK</i> </a> </div> <div class="viewer_related_text"> <a href="/kbd/kabalstory/contents/241122083334019sr" class="viewer_related_title_link _BA_CLICK" data-clk="chlh_cont.ctgrother" data-ba-classifier="same_category_content" data-ba-scene-id="content" 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