{"id":208818,"date":"2024-12-23T15:30:49","date_gmt":"2024-12-23T15:30:49","guid":{"rendered":"https:\/\/cryptonews.com\/tr\/news\/eric-vreeland-polyhedra-zk-proofs-are-the-only-way-blockchain-can-realize-its-true-vision-interview\/"},"modified":"2024-12-23T15:30:49","modified_gmt":"2024-12-23T15:30:49","slug":"eric-vreeland-ile-ozel-roportaj-sifir-bilgi-kanitlari-ve-blockchain-dunyasina-etkileri","status":"publish","type":"post","link":"https:\/\/cryptonews.com\/tr\/exclusives\/eric-vreeland-ile-ozel-roportaj-sifir-bilgi-kanitlari-ve-blockchain-dunyasina-etkileri\/","title":{"rendered":"Eric Vreeland ile \u00d6zel R\u00f6portaj: S\u0131f\u0131r Bilgi Kan\u0131tlar\u0131 ve Blockchain D\u00fcnyas\u0131na Etkileri"},"content":{"rendered":"
\"\"<\/figure>

R\u00f6portaj serimizde s\u0131radaki konu\u011fumuz, s\u0131f\u0131r bilgi (ZK) kan\u0131tlar\u0131 \u00fczerine yo\u011funla\u015fan inovatif bir firma olan Polyhedra Network<\/a>‘te Ba\u015f Strateji Sorumlusu olarak g\u00f6rev yapan Eric Vreeland<\/a>. Eric, ZK teknolojisini daha eri\u015filebilir hale getirmeye y\u00f6nelik \u00e7al\u0131\u015fmalar\u0131yla tan\u0131n\u0131yor.<\/p>

Polyhedra Network’\u00fcn geli\u015ftirdi\u011fi zkBridge <\/a>\u00e7\u00f6z\u00fcm\u00fc, 25’ten fazla blockchain<\/a>‘i birbirine ba\u011flayarak, geli\u015ftiricilere ek g\u00fcven gerektirmeyen g\u00fcvenli, \u00f6l\u00e7eklenebilir ve uyumlu uygulamalar geli\u015ftirme imkan\u0131 sunuyor.<\/p>

Eric, Polyhedra’ya kat\u0131lmadan \u00f6nce LayerZero Labs’ta Pazarlama Direkt\u00f6r\u00fc olarak g\u00f6rev yap\u0131yordu. Kripto sekt\u00f6r\u00fcne ad\u0131m atmadan \u00f6nce, birka\u00e7 B2B SaaS \u015firketinde pazarlama liderli\u011fi yapm\u0131\u015f ve \u00fc\u00e7 ba\u015far\u0131l\u0131 i\u015f \u00e7\u0131k\u0131\u015f\u0131na (iki halka arz ve bir sat\u0131n alma) katk\u0131da bulunmu\u015ftur. Ayr\u0131ca, bir tohum a\u015famas\u0131 VC’nin kurucu ekibinde yer alm\u0131\u015f ve melek yat\u0131r\u0131mc\u0131 olarak faaliyetlerine devam etmektedir.<\/p>

Bu r\u00f6portajda Eric, Polyhedra ekosistemindeki en son yenilikler, ZK teknolojisine dayal\u0131 uygulamalar ve bu alandaki uzun vadeli hedefleri \u00fczerine de\u011ferlendirmelerde bulunuyor.<\/p>

Yapay Zeka: Manip\u00fclasyona Daha Az E\u011filimli De\u011fil, Ancak Manip\u00fcle Edilmeye Daha Az De\u011fer<\/h2><\/span>

Cryptonews:<\/strong> Polyhedra ve Berkeley RDI, yapay zeka modellerinin s\u0131f\u0131r bilgi kan\u0131tlar\u0131na uzmanl\u0131k gerektirmeden zkML kullanabilmelerine olanak tan\u0131yan yeni bir derleyici<\/a> geli\u015ftirdi. zkML nedir ve basit terimlerle nas\u0131l a\u00e7\u0131klanabilir?<\/em><\/p>

Eric Vreeland: <\/strong>S\u0131f\u0131r Bilgi Makine \u00d6\u011frenimi (zkML), yapay zeka modellerinin \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flayan, ancak modelin kendisini veya kullan\u0131lan verileri if\u015fa etmeden hesaplamalar yapabilen bir teknolojidir. S\u0131f\u0131r bilgi kan\u0131tlar\u0131 kullanarak, hesaplamalar\u0131n do\u011fru ger\u00e7ekle\u015ftirildi\u011fini do\u011frulayabiliriz. Bu teknoloji, \u00f6zellikle gizlilik gerektiren alanlar i\u00e7in, \u00f6rne\u011fin sa\u011fl\u0131k veya finans sekt\u00f6rleri i\u00e7in idealdir.<\/p>

zkML, bir makine \u00f6\u011frenimi modelinin belirli bir veri seti \u00fczerinde do\u011fru \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131, model parametrelerini veya verileri a\u00e7\u0131\u011fa \u00e7\u0131karmadan kan\u0131tlar. Bu, \u00f6zellikle gizlilik ve g\u00fcvenlik hassasiyeti y\u00fcksek olan sekt\u00f6rlerde \u00f6nem ta\u015f\u0131r.<\/p>

Yeni geli\u015ftirilen zkPyTorch derleyicisi, yapay zeka geli\u015ftiricilerinin, derin teknik bilgiye ihtiya\u00e7 duymadan zkML kullanmalar\u0131n\u0131 kolayla\u015ft\u0131r\u0131r. Bu, yapay zeka modellerinin hem performans\u0131n\u0131 hem de do\u011frulu\u011funu korurken, gizlilik ve g\u00fcvenlik sa\u011flamalar\u0131na olanak tan\u0131r.<\/p>

CN: <\/strong>zkML kullan\u0131m\u0131, yapay zeka sistemlerini manip\u00fclasyona kar\u015f\u0131 daha az e\u011filimli hale getirir mi? Etik olarak dikkat edilmesi gereken hususlar var m\u0131?<\/em><\/p>

EV:<\/strong> ZkML, yapay zeka sistemlerini tamamen manip\u00fclasyondan korumaz, ancak k\u00f6t\u00fc niyetli manip\u00fclasyonlar\u0131 azaltmaya yard\u0131mc\u0131 olur. Manip\u00fclasyon olmadan hesaplamalar\u0131n yap\u0131ld\u0131\u011f\u0131na dair kan\u0131tlar\u0131n olmas\u0131, herhangi bir oynama veya hile giri\u015fiminin kolayca tespit edilebilmesini sa\u011flar. Bu, \u00f6zellikle AI hesaplamalar\u0131n\u0131n g\u00fcvenilirli\u011fini art\u0131ran bir \u00f6zelliktir.<\/p>

CN: <\/strong>Bir kan\u0131t\u0131n do\u011frulanmas\u0131 ne kadar s\u00fcrer? Ger\u00e7ek zamanl\u0131 uygulamalar i\u00e7in bu teknoloji uygulanabilir mi?<\/em><\/p>

EV:<\/strong> Bizim zkML teknolojimizle bir kan\u0131t\u0131n do\u011frulanmas\u0131 birka\u00e7 saniyeden az s\u00fcrer. Kan\u0131t olu\u015fturma s\u00fcreci genellikle daha fazla zaman al\u0131rken, do\u011frulama s\u00fcresi genellikle bir engel te\u015fkil etmez. Kan\u0131t boyutunu ve do\u011frulama s\u00fcresini azaltarak, kan\u0131t olu\u015fturma s\u00fcresini dengeleriz. Bu, g\u00fcvenlik veya veri b\u00fct\u00fcnl\u00fc\u011f\u00fcnden \u00f6d\u00fcn vermeden uygulaman\u0131n h\u0131z\u0131n\u0131 optimize etmeyi ama\u00e7lar.<\/p>

zkML i\u00e7in Ger\u00e7ek D\u00fcnya Uygulamalar\u0131 \u00dczerine<\/h2><\/span>

Cryptonews: <\/strong>ZkML teknolojisinin ger\u00e7ek d\u00fcnya uygulamalar\u0131 nelerdir ve sizce hangileri en \u00e7ok potansiyeli bar\u0131nd\u0131r\u0131yor?<\/em><\/p>

Eric Vreeland: <\/strong>ZkML, \u00f6zellikle modelin ticari s\u0131rlar\u0131n\u0131 korumak isteyen sekt\u00f6rlerde b\u00fcy\u00fck potansiyel ta\u015f\u0131r. \u00d6rne\u011fin, bir \u015firket, S&P endeksini y\u0131ll\u0131k bazda \u00f6nemli bir oranla geride b\u0131rakabilecek bir yapay zeka modeli geli\u015ftirdiyse, bu modeli finans sekt\u00f6r\u00fcndeki firmalara lisanslayabilir. Ancak, modeli do\u011frudan vermek istemeyebilirler \u00e7\u00fcnk\u00fc bu durum, modelin kopyalanmas\u0131na yol a\u00e7abilir. Bu nedenle, zkML teknolojisi, m\u00fc\u015fterilerin sa\u011flad\u0131\u011f\u0131 verilere dayal\u0131 olarak g\u00fcvenilir \u00e7\u0131kar\u0131mlar yap\u0131lmas\u0131n\u0131 sa\u011flar ve bu \u00e7\u0131kar\u0131mlar, modelin do\u011fru kullan\u0131ld\u0131\u011f\u0131na dair kan\u0131tlarla desteklenir.<\/p>

Sa\u011fl\u0131k sekt\u00f6r\u00fcnde de benzer bir uygulama g\u00f6r\u00fclebilir. Bir \u015firket, belirli bir hastal\u0131\u011f\u0131 te\u015fhis etme oran\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131ran bir model geli\u015ftirebilir. Bu modeli sa\u011fl\u0131k hizmeti sa\u011flay\u0131c\u0131lar\u0131na lisanslarken, modelin detaylar\u0131n\u0131 gizli tutmak i\u00e7in zkML kullanabilirler. B\u00f6ylece, do\u011fru modelin kullan\u0131ld\u0131\u011f\u0131na dair garanti sunarken, hastalar\u0131n verilerinin gizlili\u011fini de korumu\u015f olurlar.<\/p>

CN: <\/strong>ZkML’in i\u015fleyebilece\u011fi model karma\u015f\u0131kl\u0131\u011f\u0131 s\u0131n\u0131rlar\u0131 nelerdir? \u00d6zellikle derin \u00f6\u011frenme modelleri gibi karma\u015f\u0131k yap\u0131lar i\u00e7in s\u0131n\u0131rlamalar var m\u0131?<\/em><\/p>

EV: <\/strong>“Verimli” ifadesi ba\u011flama g\u00f6re de\u011fi\u015fiklik g\u00f6sterir. Yak\u0131n zamanda, 8 milyar parametreye sahip ve 65 token i\u00e7eren bir model olan Llama-3 \u00fczerinde zkML uygulad\u0131k. Kan\u0131t olu\u015fturma s\u00fcreci sadece birka\u00e7 saat s\u00fcrd\u00fc, \u00f6nceki denemeler ise g\u00fcnler ald\u0131. Bu, b\u00fcy\u00fckl\u00fck s\u0131ras\u0131nda bir iyile\u015fme ve yak\u0131n gelecekte bunu ger\u00e7ek zamanl\u0131 kan\u0131tlama seviyesine getirebilece\u011fimize inan\u0131yoruz.<\/p>

CN: <\/strong>Polyhedra’n\u0131n Bitcoin Mesajla\u015fma Protokol\u00fc<\/a> ile ilgili yeni geli\u015fmeleri nedir ve bu, di\u011fer \u00e7apraz zincir \u00e7\u00f6z\u00fcmlerinden nas\u0131l ayr\u0131l\u0131yor?<\/em><\/p>

EV:<\/strong> \u00c7o\u011fu \u00e7\u00f6z\u00fcm, bir zincirin durumunu do\u011frulamak i\u00e7in ara bir zincir veya do\u011frulay\u0131c\u0131 a\u011f\u0131 kullan\u0131r. Bizim zkBridge yakla\u015f\u0131m\u0131m\u0131z ise, g\u00f6nderici zincirin durumunun s\u0131f\u0131r bilgi kan\u0131tlar\u0131n\u0131 kullanarak do\u011frudan al\u0131c\u0131 zincirde do\u011frulamay\u0131 sa\u011flar. Sahte bir kan\u0131t\u0131n do\u011frulanmas\u0131 imkans\u0131zd\u0131r, bu da sistemimizi daha g\u00fcvenilir ve daha az g\u00fcven varsay\u0131m\u0131 gerektiren bir yap\u0131ya kavu\u015fturur.<\/p>

CN:<\/strong> FRI kan\u0131tlar\u0131 nedir ve Bitcoin a\u011f\u0131nda ne gibi faydalar sa\u011flar?<\/em><\/p>

EV: <\/strong>FRI kan\u0131tlar\u0131, Groth16 veya Plonk gibi di\u011fer s\u0131f\u0131r bilgi kan\u0131t sistemlerine g\u00f6re daha az hesaplama gerektirir, bu da onlar\u0131 \u00f6zellikle hesaplama kaynaklar\u0131n\u0131n s\u0131n\u0131rl\u0131 oldu\u011fu uygulamalar i\u00e7in uygun k\u0131lar. Bitcoin a\u011f\u0131nda FRI kan\u0131tlar\u0131n\u0131n kullan\u0131m\u0131, performans\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir ve a\u011f\u0131n kapasitesini geni\u015fletebilir. Bu, geli\u015ftiricilere Bitcoin \u00fczerinde daha karma\u015f\u0131k uygulamalar geli\u015ftirme imkan\u0131 sunar.<\/p>

Polyhedra’n\u0131n ZK Ara\u015ft\u0131rmas\u0131n\u0131n Gelece\u011fi<\/h2><\/span>

Cryptonews:<\/strong> Polyhedra’n\u0131n ZK ara\u015ft\u0131rmalar\u0131nda sonraki ad\u0131mlar\u0131 nelerdir ve hangi belirli uygulamalar\u0131 veya kullan\u0131m durumlar\u0131n\u0131 hedefliyorsunuz?<\/em><\/p>

Eric Vreeland: <\/strong>Kan\u0131t sistemi olan Expander’\u0131 geli\u015ftirerek, d\u00fcnyan\u0131n en h\u0131zl\u0131 kan\u0131tlay\u0131c\u0131s\u0131 olarak pozisyonumuzu korumay\u0131 hedefliyoruz. Ayn\u0131 zamanda, ZK teknolojisinden \u00f6nce eri\u015filemeyen yeni kullan\u0131m alanlar\u0131 geli\u015ftirmeye odaklanaca\u011f\u0131z. \u00d6zellikle zkML teknolojisi bizim i\u00e7in \u00f6ncelikli ve bu teknolojiyi ger\u00e7ek zamanl\u0131 kan\u0131tlama seviyesine \u00e7\u0131karmay\u0131 ama\u00e7l\u0131yoruz.<\/p>

CN: <\/strong>Vitalik Buterin, Katman-2 \u00e7\u00f6z\u00fcmlerinin olgunlu\u011funu vurgulad\u0131. Polyhedra’n\u0131n ZK-toplamalar\u0131 i\u00e7in geli\u015ftirdi\u011fi kan\u0131t sistemi, bu geli\u015fen standartlarla nas\u0131l uyum sa\u011fl\u0131yor?<\/em><\/p>

EV: <\/strong>En son kan\u0131t sistemimiz olan deVirgo’ya dayanan Expander, kaynaklar\u0131m\u0131z\u0131n odak noktas\u0131 olacak. T\u00fcm ZK-rollup’lar daha h\u0131zl\u0131 kan\u0131tlama s\u00fcresinden yararlanacak, bu da hesaplama maliyetlerinin d\u00fc\u015fmesini sa\u011flayacak. Expander’\u0131n sa\u011flad\u0131\u011f\u0131 verimliliklerden yararlanmalar\u0131 i\u00e7in daha fazla Katman-2 \u00e7\u00f6z\u00fcm\u00fcyle i\u015f birli\u011fi yapmay\u0131 umuyoruz.<\/p>

CN: <\/strong>Polyhedra’n\u0131n ZK teknolojisini kullanarak Katman-2’ye yakla\u015fan projeler var m\u0131?<\/em><\/p>

EV:<\/strong> Expander proof sistemimize b\u00fcy\u00fck ilgi var. Nebra ve Nexus gibi ekiplerle yak\u0131n i\u015f birli\u011fi yaparak, onlar\u0131n sistem performanslar\u0131n\u0131 Expander arac\u0131l\u0131\u011f\u0131yla \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirmelerine yard\u0131mc\u0131 oluyoruz.<\/p>

CN: <\/strong>Polyhedra’n\u0131n ZK-proof teknolojisinin \u00f6l\u00e7eklenebilirlik ve maliyeti d\u00fc\u015f\u00fcrme konusunda b\u00fcy\u00fck etki yapt\u0131\u011f\u0131 \u00f6rneklerden birini payla\u015fabilir misiniz?<\/em><\/p>

EV: <\/strong>zkBridge muhtemelen en iyi \u00f6rnektir. Bir\u00e7ok ekip s\u0131f\u0131r bilgili birlikte \u00e7al\u0131\u015fabilirlik protokol\u00fc olu\u015fturmay\u0131 denedi, ancak kan\u0131t olu\u015fturma s\u00fcresi ve maliyeti \u00e7ok y\u00fcksek oldu\u011fundan y\u00f6ntemlerini de\u011fi\u015ftirdiler.<\/p>

CN: <\/strong>Polyhedra Network\u2019te \u00f6n\u00fcm\u00fczdeki d\u00f6nemde ger\u00e7ekle\u015fecek geli\u015fmeleri payla\u015fabilir misiniz?<\/em><\/p>

EV: <\/strong>AI, kritik karar verme s\u00fcre\u00e7lerinde giderek daha fazla kullan\u0131l\u0131yor. Do\u011frulanabilir AI’yi bir gereklilik olarak g\u00f6r\u00fcyoruz ve bu alana yo\u011fun bir \u015fekilde yat\u0131r\u0131m yaparak zkML teknolojisini geli\u015ftirece\u011fiz.<\/p>

CN:<\/strong> Polyhedra’n\u0131n blockchain ekosisteminde ZK kan\u0131tlar\u0131n\u0131n rol\u00fcne ili\u015fkin uzun vadeli vizyonu nedir?<\/em><\/p>

EV: <\/strong>Blockchain \u00fczerinde ger\u00e7ekle\u015fen her hesaplaman\u0131n zk-proof’lar arac\u0131l\u0131\u011f\u0131yla do\u011frulanabilir olmas\u0131 gerekti\u011fine inan\u0131yoruz. Ayr\u0131ca, zk-proof’lar blockchain’in merkeziyetsizlik, \u015feffafl\u0131k ve g\u00fcvenlik vizyonunu ger\u00e7ekle\u015ftirmenin ana yolu olarak g\u00f6r\u00fcyoruz.<\/p>","protected":false},"excerpt":{"rendered":"

R\u00f6portaj serimizde s\u0131radaki konu\u011fumuz, s\u0131f\u0131r bilgi (ZK) kan\u0131tlar\u0131 \u00fczerine yo\u011funla\u015fan inovatif bir firma olan Polyhedra Network‘te Ba\u015f Strateji Sorumlusu olarak g\u00f6rev yapan Eric Vreeland. Eric, ZK teknolojisini daha eri\u015filebilir hale getirmeye y\u00f6nelik \u00e7al\u0131\u015fmalar\u0131yla tan\u0131n\u0131yor.Polyhedra Network’\u00fcn geli\u015ftirdi\u011fi zkBridge \u00e7\u00f6z\u00fcm\u00fc, 25’ten fazla blockchain‘i birbirine ba\u011flayarak, geli\u015ftiricilere ek g\u00fcven gerektirmeyen g\u00fcvenli, \u00f6l\u00e7eklenebilir ve uyumlu uygulamalar geli\u015ftirme imkan\u0131 sunuyor.Eric, […]<\/p>\n","protected":false},"author":235,"featured_media":208819,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2],"tags":[107],"editors":[352],"sponsored_companies":[],"class_list":["post-208818","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-exclusives","tag-blockchain","editors-ufuk-toprak"],"acf":[],"yoast_head":"\nEric Vreeland ile \u00d6zel R\u00f6portaj: S\u0131f\u0131r Bilgi Kan\u0131tlar\u0131 ve Blockchain 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