{"id":109,"date":"2025-10-28T15:12:08","date_gmt":"2025-10-28T15:12:08","guid":{"rendered":"https:\/\/erendogu.com\/?p=109"},"modified":"2026-06-29T07:51:36","modified_gmt":"2026-06-29T07:51:36","slug":"deepseek-cikis-hikayesi","status":"publish","type":"post","link":"https:\/\/erendogu.com\/tr\/deepseek-cikis-hikayesi\/","title":{"rendered":"DeepSeek Giri\u015fimcilik Hikayesi Yapay Zek\u00e2 D\u00fcnyas\u0131nda B\u00fcy\u00fck Geli\u015fm"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Yapay zek\u00e2 (AI) end\u00fcstrisi, son birka\u00e7 y\u0131lda, trilyon dolarl\u0131k devlerin (Google, Microsoft\/OpenAI, Meta) adeta bir &#8220;silahlanma yar\u0131\u015f\u0131&#8221; y\u00fcr\u00fctt\u00fc\u011f\u00fc, kapal\u0131 kap\u0131lar ard\u0131nda devasa modellerin e\u011fitildi\u011fi bir arenaya d\u00f6n\u00fc\u015ft\u00fc. Bu arenada, &#8220;a\u00e7\u0131k kaynak&#8221; (open-source) felsefesi, \u00f6zellikle GPT-4 gibi en \u00fcst d\u00fczey modellerin &#8220;kapal\u0131 kutu&#8221; (closed-source) hale gelmesiyle birlikte bir yara alm\u0131\u015f g\u00f6r\u00fcn\u00fcyordu. Tam da bu noktada, 2023&#8217;\u00fcn sonlar\u0131nda ve 2024&#8217;\u00fcn ba\u015flar\u0131nda, AI toplulu\u011fu liderlik tablolar\u0131n\u0131 (leaderboards) alt \u00fcst eden yeni ve gizemli bir oyuncuyla tan\u0131\u015ft\u0131: <strong>DeepSeek (\u6df1\u5ea6\u6c42\u7d22)<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bu makale, DeepSeek&#8217;in sadece teknik ba\u015far\u0131lar\u0131n\u0131 de\u011fil, ayn\u0131 zamanda bu ba\u015far\u0131lar\u0131n arkas\u0131ndaki <strong>giri\u015fimcilik vizyonunu<\/strong>, pazara giri\u015f stratejisini ve AI d\u00fcnyas\u0131ndaki yerle\u015fik d\u00fczeni nas\u0131l sarst\u0131\u011f\u0131n\u0131 analiz etmeyi ama\u00e7lamaktad\u0131r. Bu, bir gecede ortaya \u00e7\u0131km\u0131\u015f gibi g\u00f6r\u00fcnen, ancak asl\u0131nda \u00e7ok &#8220;derin&#8221; bir stratejiye dayanan bir ba\u015far\u0131 hikayesidir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">B\u00f6l\u00fcm 1: Hikayenin Ba\u015flang\u0131c\u0131 &#8211; &#8220;Derin&#8221; \u0130htiyac\u0131n Tespiti<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek&#8217;in hikayesi, tek bir &#8220;garajda ba\u015flayan d\u00e2hi&#8221; mitinden ziyade, mevcut pazar dinamiklerine bir reaksiyon olarak do\u011fmu\u015ftur. Giri\u015fim, \u00c7in&#8217;deki en ba\u015far\u0131l\u0131 \u00f6zel sermaye (private equity) \u015firketlerinden biri olan <strong>Hillhouse Capital<\/strong> (veya yerel ad\u0131yla Gaoling) ile ba\u011flant\u0131l\u0131 bir giri\u015fim olan <strong>DeepSeek AI<\/strong> taraf\u0131ndan hayata ge\u00e7irildi.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Giri\u015fimcilikteki ilk kural, bir problemi veya bir &#8220;bo\u015flu\u011fu&#8221; tespit etmektir. DeepSeek&#8217;in kurucular\u0131n\u0131n tespit etti\u011fi bo\u015fluk \u015fuydu:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Performans U\u00e7urumu:<\/strong> GPT-4 ve Claude 3 Opus gibi en yetenekli modeller, fahi\u015f API maliyetleri ve kapal\u0131 kaynak kodlar\u0131 nedeniyle hem geli\u015ftiriciler hem de ara\u015ft\u0131rmac\u0131lar i\u00e7in bir &#8220;duvar&#8221; \u00f6r\u00fcyordu.<\/li>\n\n\n\n<li><strong>A\u00e7\u0131k Kaynak Yetersizli\u011fi:<\/strong> Meta&#8217;n\u0131n Llama gibi modelleri a\u00e7\u0131k kaynak d\u00fcnyas\u0131na b\u00fcy\u00fck katk\u0131 sa\u011flasa da, performans a\u00e7\u0131s\u0131ndan her zaman en tepedeki kapal\u0131 modellerin bir ad\u0131m gerisinde kal\u0131yordu. \u00d6zellikle kodlama (coding) gibi spesifik alanlarda &#8220;uzmanla\u015fm\u0131\u015f&#8221; ve &#8220;a\u00e7\u0131k&#8221; bir modele \u015fiddetle ihtiya\u00e7 vard\u0131.<\/li>\n\n\n\n<li><strong>Verimlilik Problemi:<\/strong> Modeller b\u00fcy\u00fcd\u00fck\u00e7e, onlar\u0131 \u00e7al\u0131\u015ft\u0131rman\u0131n maliyeti (inference cost) katlanarak art\u0131yordu. Pazar, &#8220;daha ucuza daha ak\u0131ll\u0131&#8221; bir \u00e7\u00f6z\u00fcm ar\u0131yordu.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek&#8217;in kurucu vizyonu, bu \u00fc\u00e7 soruna ayn\u0131 anda cevap vermekti: Hem en \u00fcst d\u00fczey (State-of-the-Art &#8211; SOTA) performans\u0131 yakalamak, hem bunu a\u00e7\u0131k kaynak felsefesiyle payla\u015fmak hem de bunu yaparken verimlili\u011fi maksimize etmek.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">B\u00f6l\u00fcm 2: Strateji: Devlere Meydan Okuman\u0131n &#8220;A\u00e7\u0131k&#8221; Yolu<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek&#8217;in giri\u015fimcilik stratejisi, &#8220;kopyala-yap\u0131\u015ft\u0131r&#8221; bir modelden ziyade, &#8220;ni\u015f uzmanl\u0131k&#8221; ve &#8220;radikal \u015feffafl\u0131k&#8221; \u00fczerine kuruludur.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. Uzmanla\u015fma: Kodlama (Coding) ile Ba\u015flamak<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek, ad\u0131n\u0131 ilk olarak <strong>&#8220;DeepSeek Coder&#8221;<\/strong> modeliyle duyurdu. Neden do\u011frudan bir &#8220;sohbet botu&#8221; de\u011fil de bir &#8220;kodlama asistan\u0131&#8221;?<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Net Bir De\u011fer \u00d6nerisi:<\/strong> Kodlama, AI i\u00e7in en zorlu ama ayn\u0131 zamanda en net yat\u0131r\u0131m getirisi (ROI) olan alanlardan biridir. Geli\u015ftiricilerin verimlili\u011fini %10 art\u0131rmak bile milyarlarca dolarl\u0131k bir de\u011fer yarat\u0131r.<\/li>\n\n\n\n<li><strong>Objektif Ba\u015far\u0131:<\/strong> Kodlama performans\u0131n\u0131 \u00f6l\u00e7mek, &#8220;iyi bir \u015fiir yazmak&#8221;tan daha kolayd\u0131r. <code>HumanEval<\/code> ve <code>MBPP<\/code> gibi standart testler (benchmark) vard\u0131r. DeepSeek Coder, bu testlerde GPT-3.5&#8217;i ve hatta baz\u0131 alanlarda GPT-4&#8217;\u00fc zorlayarak piyasaya &#8220;Biz ciddiyiz&#8221; mesaj\u0131n\u0131 verdi.<\/li>\n\n\n\n<li><strong>A\u00e7\u0131k Kaynak G\u00fcc\u00fc:<\/strong> Geli\u015ftiriciler, a\u00e7\u0131k kayna\u011f\u0131 en \u00e7ok benimseyen ve ona en \u00e7ok katk\u0131 sa\u011flayan kitledir. G\u00f6n\u00fcllerini kazanmak, bir markay\u0131 s\u0131f\u0131rdan in\u015fa etmenin en h\u0131zl\u0131 yoludur.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. Radikal \u015eeffafl\u0131k: En \u0130yisini &#8220;A\u00e7mak&#8221;<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">OpenAI&#8217;nin &#8220;Open&#8221; (A\u00e7\u0131k) ismine ironik bir \u015fekilde kapal\u0131 hale geldi\u011fi bir d\u00f6nemde, DeepSeek tam tersini yapt\u0131. Sadece modellerini de\u011fil, bu modelleri e\u011fitmek i\u00e7in kulland\u0131klar\u0131 devasa ve y\u00fcksek kaliteli veri setlerini de (\u00f6rne\u011fin 2 trilyon token&#8217;l\u0131k DeepSeek Coder veri seti) toplulukla payla\u015ft\u0131lar.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bu, giri\u015fimcilik a\u00e7\u0131s\u0131ndan riskli ama d\u00e2hiyane bir hamleydi:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>G\u00fcven \u0130n\u015fas\u0131:<\/strong> &#8220;\u0130\u015fte model, i\u015fte veri. Bizim saklayacak bir \u015feyimiz yok.&#8221;<\/li>\n\n\n\n<li><strong>Topluluk Katk\u0131s\u0131:<\/strong> D\u00fcnyan\u0131n d\u00f6rt bir yan\u0131ndaki geli\u015ftiriciler bu modelleri al\u0131p daha da iyile\u015ftirmeye, hatalar\u0131n\u0131 bulmaya ve yeni kullan\u0131m alanlar\u0131 yaratmaya ba\u015flad\u0131. Bu, DeepSeek i\u00e7in \u00fccretsiz bir &#8220;Ar-Ge&#8221; ve &#8220;Pazarlama&#8221; ordusu anlam\u0131na geliyordu.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. Teknolojik S\u0131\u00e7rama: &#8220;Mixture-of-Experts&#8221; (MoE)<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek&#8217;in en b\u00fcy\u00fck teknik ve stratejik hamlesi, <strong>Mixture-of-Experts (MoE)<\/strong> mimarisine yapt\u0131\u011f\u0131 erken yat\u0131r\u0131md\u0131r.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Basit\u00e7e MoE, tek bir devasa &#8220;her \u015feyi bilen&#8221; beyin yerine, her biri kendi alan\u0131nda (\u00f6rn: matematik, tarih, kodlama, dil bilgisi) uzmanla\u015fm\u0131\u015f daha k\u00fc\u00e7\u00fck &#8220;uzman&#8221; beyinlerden olu\u015fan bir a\u011fd\u0131r. Bir soru geldi\u011finde, sistem soruyu en ilgili uzmanlara y\u00f6nlendirir.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Giri\u015fimcilik Avantaj\u0131:<\/strong> Bu mimari, e\u011fitim ve \u00e7al\u0131\u015ft\u0131rma maliyetlerinde devrim niteli\u011finde bir verimlilik sa\u011flar. DeepSeek, rakiplerinden <em>\u00e7ok daha az<\/em> kaynak harcayarak <em>benzer veya daha iyi<\/em> performans g\u00f6steren modeller (\u00f6rn: <strong>DeepSeek-V2<\/strong>) \u00fcretebildi. Bu, k\u0131s\u0131tl\u0131 b\u00fct\u00e7eyle devlere kar\u015f\u0131 sava\u015fan bir startup i\u00e7in hayati bir silaht\u0131r.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">B\u00f6l\u00fcm 3: Kilometre Ta\u015flar\u0131 ve Pazar\u0131n Sars\u0131lmas\u0131<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek&#8217;in yolculu\u011fu, k\u0131sa zamanda elde edilen b\u00fcy\u00fck zaferlerle doludur:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>DeepSeek Coder (Kas\u0131m 2023):<\/strong> Piyasaya giri\u015f. A\u00e7\u0131k kaynak kodlama modelleri aras\u0131nda h\u0131zla zirveye t\u0131rmand\u0131 ve GitHub Copilot (GPT-3.5\/4 tabanl\u0131) i\u00e7in ciddi bir a\u00e7\u0131k kaynak alternatif oldu\u011funu kan\u0131tlad\u0131.<\/li>\n\n\n\n<li><strong>DeepSeek-MoE (Ocak 2024):<\/strong> MoE mimarisindeki uzmanl\u0131klar\u0131n\u0131 kan\u0131tlad\u0131lar. Bu model, daha az hesaplama g\u00fcc\u00fcyle Llama 2 70B gibi devasa modellerin performans\u0131n\u0131 yakalad\u0131.<\/li>\n\n\n\n<li><strong>DeepSeek-V2 (May\u0131s 2024):<\/strong> &#8220;B\u00fcy\u00fck darbe&#8221;. DeepSeek-V2, MoE mimarisini bir ad\u0131m \u00f6teye ta\u015f\u0131yarak (MLA &#8211; Multi-head Latent Attention), a\u00e7\u0131k kaynak d\u00fcnyas\u0131nda Llama 3 70B&#8217;yi ge\u00e7ti ve kapal\u0131 kaynakta GPT-4 ve Claude 3 Opus ile do\u011frudan rekabet edebilece\u011fini g\u00f6sterdi. En sars\u0131c\u0131 iddia ise \u015fuydu: Bu modeli \u00e7al\u0131\u015ft\u0131rmak (API maliyeti), Llama 3 70B&#8217;den <strong>%93 daha ucuzdu<\/strong>.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Bu, klasik bir &#8220;David vs. Golyat&#8221; hikayesiydi. DeepSeek, &#8220;Daha ak\u0131ll\u0131y\u0131m <em>ve<\/em> daha ucuzum&#8221; diyerek pazar\u0131n t\u00fcm fiyat\/performans dengesini bozdu.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">B\u00f6l\u00fcm 4: DeepSeek&#8217;in Giri\u015fimcilik Dersi: &#8220;H\u0131z&#8221; ve &#8220;Odak&#8221;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek&#8217;in hikayesi, modern bir teknoloji giri\u015fimi i\u00e7in kritik dersler bar\u0131nd\u0131rmaktad\u0131r:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Odaklanm\u0131\u015f Ar-Ge:<\/strong> \u015eirket, &#8220;sohbet botu yapay zek\u00e2s\u0131&#8221;n\u0131n pop\u00fclerli\u011fine kap\u0131lmak yerine, en zorlu teknik problemlere (MoE, veri kalitesi, kodlama) odakland\u0131. Bu &#8220;derin&#8221; teknik odak, onlara pazarda benzersiz bir avantaj sa\u011flad\u0131.<\/li>\n\n\n\n<li><strong>H\u0131z (Agility):<\/strong> Aylarla \u00f6l\u00e7\u00fclen bir s\u00fcrede, pazar liderlerini yakalayan ve ge\u00e7en modelleri piyasaya s\u00fcrebilme \u00e7evikli\u011fi, b\u00fcy\u00fck ve hantal rakiplerine kar\u015f\u0131 en b\u00fcy\u00fck silahlar\u0131 oldu.<\/li>\n\n\n\n<li><strong>A\u00e7\u0131k Kayna\u011f\u0131 Stratejik Kullanma:<\/strong> A\u00e7\u0131k kaynak, DeepSeek i\u00e7in bir &#8220;hay\u0131r i\u015fi&#8221; de\u011fil, bir &#8220;pazara giri\u015f stratejisi&#8221; idi. Marka bilinirli\u011fi, yetenek av\u0131 (talent acquisition) ve topluluk tabanl\u0131 Ar-Ge i\u00e7in bir kald\u0131ra\u00e7 olarak kullan\u0131ld\u0131.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Sonu\u00e7: Sadece Bir Ba\u015flang\u0131\u00e7<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek&#8217;in giri\u015fimcilik hikayesi, yapay zek\u00e2 end\u00fcstrisinde &#8220;oyunun hen\u00fcz bitmedi\u011fini&#8221; kan\u0131tlayan en g\u00fc\u00e7l\u00fc \u00f6rneklerden biridir. Yeterli sermaye, d\u00e2hiyane bir teknik vizyon (MoE) ve pazar\u0131n dinamiklerini do\u011fru okuyan bir strateji (a\u00e7\u0131k kaynak ve uzmanla\u015fma) ile, en doymu\u015f ve rekabet\u00e7i g\u00f6r\u00fcnen pazarlarda bile yeni ve sars\u0131c\u0131 bir oyuncu olman\u0131n m\u00fcmk\u00fcn oldu\u011funu g\u00f6stermi\u015flerdir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">DeepSeek, ad\u0131n\u0131 &#8220;derin aray\u0131\u015f&#8221;tan al\u0131r. Onlar\u0131n bu aray\u0131\u015f\u0131, sadece daha ak\u0131ll\u0131 bir yapay zek\u00e2 aray\u0131\u015f\u0131 de\u011fil, ayn\u0131 zamanda daha a\u00e7\u0131k, daha verimli ve daha eri\u015filebilir bir teknoloji gelece\u011fi aray\u0131\u015f\u0131d\u0131r. Bu \u00f6dev, onlar\u0131n bu aray\u0131\u015fta att\u0131\u011f\u0131 ilk cesur ad\u0131mlar\u0131n bir analizidir.<\/p>\n\n\n\n<div class=\"wp-block-file\"><a href=\"https:\/\/erendogu.com\/wp-content\/uploads\/2025\/10\/DeepSeek-Hikayesi-ve-ChatGPT-Karsilastirmasi-2.pptx\" class=\"wp-block-file__button wp-element-button\" download>\u0130ndirmek i\u00e7in t\u0131klay\u0131n\u0131z<\/a><\/div>","protected":false},"excerpt":{"rendered":"<p>Yapay zek\u00e2 (AI) end\u00fcstrisi, son birka\u00e7 y\u0131lda, trilyon dolarl\u0131k devlerin (Google, Microsoft\/OpenAI, Meta) adeta bir &#8220;silahlanma yar\u0131\u015f\u0131&#8221; y\u00fcr\u00fctt\u00fc\u011f\u00fc, kapal\u0131 kap\u0131lar ard\u0131nda devasa modellerin e\u011fitildi\u011fi bir arenaya d\u00f6n\u00fc\u015ft\u00fc. Bu arenada, &#8220;a\u00e7\u0131k kaynak&#8221; (open-source) felsefesi, \u00f6zellikle GPT-4 gibi en \u00fcst d\u00fczey modellerin &#8220;kapal\u0131 kutu&#8221; (closed-source) hale gelmesiyle birlikte bir yara alm\u0131\u015f g\u00f6r\u00fcn\u00fcyordu. Tam da bu noktada, 2023&#8217;\u00fcn [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"wpai_generated_summary":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[38],"tags":[14,37],"class_list":["post-109","post","type-post","status-publish","format-standard","hentry","category-girisimcilik","tag-analiz","tag-girisimcilik"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":7}},"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/posts\/109","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/comments?post=109"}],"version-history":[{"count":12,"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/posts\/109\/revisions"}],"predecessor-version":[{"id":779,"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/posts\/109\/revisions\/779"}],"wp:attachment":[{"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/media?parent=109"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/categories?post=109"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/erendogu.com\/tr\/wp-json\/wp\/v2\/tags?post=109"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}