{"id":107069,"date":"2024-10-16T02:00:09","date_gmt":"2024-10-16T02:00:09","guid":{"rendered":"https:\/\/kamucalisani.net\/?p=107069"},"modified":"2024-10-16T02:00:09","modified_gmt":"2024-10-16T02:00:09","slug":"tehlikeli-yapay-zekalar-icin-yeni-agi-olcutu-tasarlandi","status":"publish","type":"post","link":"https:\/\/kamucalisani.net\/index.php\/2024\/10\/16\/tehlikeli-yapay-zekalar-icin-yeni-agi-olcutu-tasarlandi\/","title":{"rendered":"Tehlikeli yapay zekalar i\u00e7in yeni \u201cAGI\u201d \u00f6l\u00e7\u00fct\u00fc tasarland\u0131"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2024\/10\/tehlikeli-yapay-zekalar-icin-yeni-agi-olcutu-tasarlandi-0-r88LHxNS.jpg\"\/> <\/span> Yapay zeka alan\u0131ndaki geli\u015fmeler h\u0131z kesmeden devam ederken, <strong>OpenAI <\/strong>bilim insanlar\u0131 yeni bir \u00f6l\u00e7\u00fct geli\u015ftirdi. <strong>&#8220;MLE-bench&#8221;<\/strong> ad\u0131 verilen bu \u00f6l\u00e7\u00fct, gelecekteki geli\u015fmi\u015f yapay zekalar\u0131n kendi kodlar\u0131n\u0131 de\u011fi\u015ftirme ve kendilerini geli\u015ftirme yeteneklerini de\u011ferlendirmek i\u00e7in tasarlanm\u0131\u015f 75 adet son derece zor testi i\u00e7eriyor. <\/figure>\n<p>MLE-bench \u00f6l\u00e7\u00fct\u00fc, her biri makine \u00f6\u011frenimi m\u00fchendisli\u011fini test eden<strong> 75 Kaggle testinden <\/strong>olu\u015fan bir derleme konumunda. Bu \u00e7al\u0131\u015fma, yapay zeka modellerinin e\u011fitilmesini, veri k\u00fcmelerinin haz\u0131rlanmas\u0131n\u0131 ve bilimsel deneylerin y\u00fcr\u00fct\u00fclmesini i\u00e7eriyor ve makine \u00f6\u011frenimi algoritmalar\u0131n\u0131n belirli g\u00f6revlerde <strong>ne kadar iyi performans g\u00f6sterdi\u011fini <\/strong>\u00f6l\u00e7meyi ama\u00e7l\u0131yor. Bu testlerin her birinin ger\u00e7ek d\u00fcnyada pratik bir kar\u015f\u0131l\u0131\u011f\u0131 oldu\u011funun alt\u0131 \u00e7iziliyor.<\/p>\n<p>OpenAI bilim insanlar\u0131, MLE-bench&#8217;i &#8220;otonom makine \u00f6\u011frenimi m\u00fchendisli\u011fi&#8221; alan\u0131nda yapay zeka modellerinin performans\u0131n\u0131 \u00f6l\u00e7mek amac\u0131yla geli\u015ftirdiklerini belirtiyor. Bu t\u00fcr testler, yapay zekan\u0131n kar\u015f\u0131la\u015fabilece\u011fi en zorlu s\u0131navlardan biri olarak kabul ediliyor.<\/p>\n<p><b>Riskler ve kazan\u00e7lar b\u00fcy\u00fck<\/b><\/p>\n<figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2024\/10\/tehlikeli-yapay-zekalar-icin-yeni-agi-olcutu-tasarlandi-1-P83q38Da.jpg\"\/> <\/span> Ara\u015ft\u0131rmac\u0131lar, yapay zeka ajanlar\u0131n\u0131n makine \u00f6\u011frenimi ara\u015ft\u0131rma g\u00f6revlerini otonom bir \u015fekilde yerine getirebilmesi durumunda sa\u011fl\u0131k, iklim bilimi ve di\u011fer alanlarda bilimsel ilerlemeyi h\u0131zland\u0131rabilece\u011fini ifade etti. Ancak bu yeteneklerin kontrols\u00fcz bir \u015fekilde geli\u015fmesi, b\u00fcy\u00fck felaketlere yol a\u00e7abilecek sonu\u00e7lar do\u011furabilir. Bilmeyenler i\u00e7in yapay zeka ajanlar\u0131, insan m\u00fcdahalesi olmadan belirli g\u00f6revleri yerine getiren otonom ak\u0131ll\u0131 sistemler olarak basit\u00e7e a\u00e7\u0131klanabilir. <\/figure>\n<p>\u00d6te yandan ara\u015ft\u0131rmac\u0131lar yapay zeka alan\u0131ndaki yeniliklerin, onlar\u0131n etkilerini anlama yetene\u011fimizden daha h\u0131zl\u0131 \u00fcretilmesi halinde<strong> \u201cy\u0131k\u0131c\u0131 etkileri olabilen ve k\u00f6t\u00fcye kullanma\u201d <\/strong>riski ta\u015f\u0131yan modellerin ortaya \u00e7\u0131kaca\u011f\u0131nda dikkat \u00e7ekiyorlar. MLE-bench&#8217;in \u201cb\u00fcy\u00fck bir k\u0131sm\u0131n\u0131\u201d \u00e7\u00f6zebilen herhangi bir modelin muhtemelen bir\u00e7ok a\u00e7\u0131k u\u00e7lu makine \u00f6\u011frenimi g\u00f6revini (kendi kendini geli\u015ftirme gibi) kendi ba\u015f\u0131na y\u00fcr\u00fctebilece\u011fini de eklediler.<\/p>\n<p>Bilim insanlar\u0131 OpenAI&#8217;nin \u015fimdiye kadar tasarlanm\u0131\u015f en g\u00fc\u00e7l\u00fc yapay zeka modelini MLE-bench \u00fczerinde de test etti. Bu kapsamda <strong>OpenAI o1<\/strong> modeli, <strong>75 testin y\u00fczde 16.9&#8217;unda<\/strong> en az bir Kaggle bronz madalya seviyesine ula\u015ft\u0131. Daha fazla deneme yap\u0131ld\u0131k\u00e7a bu oran artt\u0131. Bronz madalya kazanmak, Kaggle liderlik tablosundaki insan kat\u0131l\u0131mc\u0131lar aras\u0131nda en \u00fcst <strong>y\u00fczde 40\u2019lik dilime girmek<\/strong> anlam\u0131na geliyor. OpenAI&#8217;nin o1 modeli, MLE-bench&#8217;te ortalama yedi alt\u0131n madalya kazand\u0131 ki bu, bir insan\u0131n &#8220;Kaggle Grandmaster&#8221; olarak kabul edilmesi i\u00e7in gerekenin iki kat\u0131 seviyesinde. Bilim insanlar\u0131 makalede, 75 farkl\u0131 Kaggle yar\u0131\u015fmas\u0131nda <strong>\u015fimdiye kadar sadece iki insan\u0131n madalya kazand\u0131\u011f\u0131n\u0131<\/strong> da yazd\u0131.<\/p>\n\n<p>Kaynak\u00a0 :\u00a0<span style=\"background-color: rgb(255, 249, 236); color: rgb(55, 58, 60); font-size: 14px;\">https:\/\/www.donanimhaber.com\/tehlikeli-yapay-zekalar-icin-yeni-agi-olcutu-tasarlandi&#8211;183105<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Yapay zeka alan\u0131ndaki geli\u015fmeler h\u0131z kesmeden devam ederken, OpenAI bilim insanlar\u0131 yeni bir \u00f6l\u00e7\u00fct geli\u015ftirdi. &#8220;MLE-bench&#8221; ad\u0131 verilen bu \u00f6l\u00e7\u00fct, gelecekteki geli\u015fmi\u015f yapay zekalar\u0131n kendi kodlar\u0131n\u0131 de\u011fi\u015ftirme ve kendilerini geli\u015ftirme &#8230;<\/p>\n","protected":false},"author":1,"featured_media":107070,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[2849,378,159,25,571],"class_list":["post-107069","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-bilim","tag-insan","tag-openai","tag-test","tag-yapay-zeka"],"_links":{"self":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/107069","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/comments?post=107069"}],"version-history":[{"count":1,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/107069\/revisions"}],"predecessor-version":[{"id":107073,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/107069\/revisions\/107073"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media\/107070"}],"wp:attachment":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media?parent=107069"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/categories?post=107069"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/tags?post=107069"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}