{"id":58850,"date":"2024-07-30T00:39:04","date_gmt":"2024-07-29T22:39:04","guid":{"rendered":"https:\/\/www.infokuryr.cz\/n\/?p=58850"},"modified":"2024-07-29T17:19:20","modified_gmt":"2024-07-29T15:19:20","slug":"konecne-vyhledavac-ktery-je-lepsi-nez-google","status":"publish","type":"post","link":"https:\/\/www.infokuryr.cz\/n\/2024\/07\/30\/konecne-vyhledavac-ktery-je-lepsi-nez-google\/","title":{"rendered":"Kone\u010dn\u011b vyhled\u00e1va\u010d, kter\u00fd je lep\u0161\u00ed ne\u017e Google"},"content":{"rendered":"<div id=\"fb-root\"><\/div>\n<div class=\"elementor-element elementor-element-1fb4c2c elementor-widget elementor-widget-theme-post-content\" data-id=\"1fb4c2c\" data-element_type=\"widget\" data-widget_type=\"theme-post-content.default\">\n<div class=\"elementor-widget-container\">\n<p><span style=\"font-size: 18pt;\"><strong>Historie na prvn\u00ed pohled<\/strong><\/span><\/p>\n<ul class=\"wp-block-list\">\n<li>Perplexity je \u201emotor odpov\u011bd\u00ed\u201c poh\u00e1n\u011bn\u00fd um\u011blou inteligenc\u00ed, kter\u00fd poskytuje p\u0159\u00edm\u00e9, zdrojov\u00e9 odpov\u011bdi na dotazy a kombinuje mo\u017enosti vyhled\u00e1v\u00e1n\u00ed s bohat\u00fdmi jazykov\u00fdmi modely, aby se sn\u00ed\u017eily halucinace a zv\u00fd\u0161ila spolehlivost.<\/li>\n<li>Na rozd\u00edl od tradi\u010dn\u00edch vyhled\u00e1va\u010d\u016f m\u00e1 Perplexity za c\u00edl stimulovat zv\u011bdavost t\u00edm, \u017ee nab\u00edz\u00ed souvisej\u00edc\u00ed ot\u00e1zky a povzbuzuje u\u017eivatele, aby se pono\u0159ili hloub\u011bji do t\u00e9mat.<\/li>\n<li>Perplexity vyu\u017e\u00edv\u00e1 pokro\u010dil\u00e9 techniky um\u011bl\u00e9 inteligence, jako je Retrieval Augmented Generation a Chain of Thought Reasoning, ke zlep\u0161en\u00ed p\u0159esnosti a v\u00fdkonu p\u0159i zpracov\u00e1n\u00ed p\u0159irozen\u00e9ho jazyka.<\/li>\n<li>Budoucnost um\u011bl\u00e9 inteligence by mohla spo\u010d\u00edvat ve v\u00fdvoji syst\u00e9m\u016f schopn\u00fdch my\u0161len\u00ed na vy\u0161\u0161\u00ed \u00farovni a p\u0159irozen\u00e9 zv\u00eddavosti, co\u017e by mohlo v\u00e9st k pr\u016flom\u016fm ve vytv\u00e1\u0159en\u00ed nov\u00fdch znalost\u00ed a pochopen\u00ed slo\u017eit\u00fdch probl\u00e9m\u016f.<\/li>\n<li>Zat\u00edmco n\u00e1stroje um\u011bl\u00e9 inteligence, jako je Perplexity, roz\u0161i\u0159uj\u00ed lidsk\u00e9 schopnosti, m\u011bly by b\u00fdt vn\u00edm\u00e1ny jako n\u00e1stroje pro kritick\u00e9 my\u0161len\u00ed a kreativitu, nikoli jako n\u00e1hrada za jedine\u010dn\u00e9 lidsk\u00e9 vlastnosti.<\/li>\n<\/ul>\n<p>Ve v\u00fd\u0161e uveden\u00e9m videu vede po\u010d\u00edta\u010dov\u00fd v\u011bdec a v\u00fdzkumn\u00edk AI Lex Fridman rozhovor s Aravindem Srinivasem, gener\u00e1ln\u00edm \u0159editelem Perplexity, \u201emotoru odpov\u011bd\u00ed\u201c poh\u00e1n\u011bn\u00e9ho um\u011blou inteligenc\u00ed. Na rozd\u00edl od tradi\u010dn\u00edch vyhled\u00e1va\u010d\u016f, kter\u00e9 vy\u017eaduj\u00ed, abyste se proch\u00e1zeli str\u00e1nkami s v\u00fdsledky, abyste na\u0161li informace, kter\u00e9 pot\u0159ebujete, Perplexity poskytuje odpov\u011b\u010f na v\u00e1\u0161 dotaz v re\u00e1ln\u00e9m \u010dase.<\/p>\n<p><iframe loading=\"lazy\" title=\"Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet | Lex Fridman Podcast #434\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/e-gwvmhyU7A?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Jedn\u00edm z \u00faskal\u00ed sou\u010dasn\u00fdch technologi\u00ed um\u011bl\u00e9 inteligence, jako je ChatGPT, je to, \u017ee maj\u00ed tendenci halucinovat nebo fal\u0161ovat informace. Chcete-li toto riziko minimalizovat, m\u016f\u017eete po\u017e\u00e1dat AI o poskytnut\u00ed zdrojov\u00fdch odkaz\u016f a ov\u011b\u0159en\u00ed p\u0159esnosti informac\u00ed. Perplexity se v\u0161ak s t\u00edmto probl\u00e9mem vypo\u0159\u00e1d\u00e1v\u00e1 od za\u010d\u00e1tku, a i kdy\u017e st\u00e1le m\u016f\u017ee halucinovat, m\u00e1 faktick\u00fd z\u00e1klad.<\/p>\n<p>\u201e[Perplexity] chce revoluci ve zp\u016fsobu, jak\u00fdm my jako lid\u00e9 z\u00edsk\u00e1v\u00e1me odpov\u011bdi na ot\u00e1zky na internetu. Kombinuje vyhled\u00e1v\u00e1n\u00ed a velk\u00e9 jazykov\u00e9 modely, LLM, zp\u016fsobem, kter\u00fd vytv\u00e1\u0159\u00ed odpov\u011bdi, kde ka\u017ed\u00e1 \u010d\u00e1st odpov\u011bdi obsahuje citaci na lidmi vytvo\u0159en\u00e9 zdroje na webu,\u201c \u0159\u00edk\u00e1 Fridman. &#8222;To v\u00fdrazn\u011b sni\u017euje halucinace LLM a umo\u017e\u0148uje mnohem snaz\u0161\u00ed a spolehliv\u011bj\u0161\u00ed pou\u017eit\u00ed pro v\u00fdzkum a obecn\u00e9 no\u010dn\u00ed zv\u011bdav\u00e9 pr\u016fzkumy, kter\u00fdch se \u010dasto \u00fa\u010dastn\u00edm.&#8220;<\/p>\n<p class=\"has-medium-font-size\"><span style=\"font-size: 18pt;\"><strong>\u010c\u00e1ste\u010dn\u011b vyhled\u00e1va\u010d, \u010d\u00e1ste\u010dn\u011b platforma ot\u00e1zka-odpov\u011b\u010f<\/strong><\/span><\/p>\n<p>Fridman popisuje Perplexity jako k\u0159\u00ed\u017eence mezi vyhled\u00e1va\u010dem \u2013 softwarov\u00fdm syst\u00e9mem ur\u010den\u00fdm k vyhled\u00e1v\u00e1n\u00ed informac\u00ed na internetu \u2013 a LLM. LLM je typ um\u011bl\u00e9 inteligence, kter\u00fd je tr\u00e9nov\u00e1n na velk\u00e9m mno\u017estv\u00ed textov\u00fdch dat, aby porozum\u011bl a generoval text podobn\u00fd lidsk\u00e9mu textu. LLM mohou prov\u00e1d\u011bt r\u016fzn\u00e9 \u00fakoly souvisej\u00edc\u00ed s jazykem, jako nap\u0159\u00edklad: Nap\u0159. odpov\u00eddat na ot\u00e1zky, vytv\u00e1\u0159et obsah, p\u0159ekl\u00e1dat jazyky a dal\u0161\u00ed.<\/p>\n<p>Na rozd\u00edl od standardn\u00edch vyhled\u00e1va\u010d\u016f, kter\u00e9 nab\u00edzej\u00ed odkazy, se Perplexity pokou\u0161\u00ed odpov\u00eddat na dotazy p\u0159\u00edmo. Srinivas vysv\u011btluje:<\/p>\n<p><em>\u201eZmatenost lze nejl\u00e9pe popsat jako z\u00e1znamn\u00edk.\u00a0<\/em><em>Polo\u017e\u00edte ot\u00e1zku a dostanete odpov\u011b\u010f.\u00a0<\/em><em>Jedin\u00fd rozd\u00edl je v tom, \u017ee v\u0161echny odpov\u011bdi jsou podporov\u00e1ny zdroji.\u00a0<\/em><em>Je to jako kdy\u017e akademik p\u00ed\u0161e pr\u00e1ci.\u00a0<\/em><em>Tato \u010d\u00e1st odkazov\u00e1n\u00ed, z\u00edsk\u00e1v\u00e1n\u00ed zdroj\u016f, je m\u00edstem, kde vstupuje do hry \u010d\u00e1st vyhled\u00e1va\u010de.\u00a0<\/em><em>Kombinujete tradi\u010dn\u00ed vyhled\u00e1v\u00e1n\u00ed a z\u00edsk\u00e1v\u00e1te v\u00fdsledky, kter\u00e9 jsou relevantn\u00ed pro ot\u00e1zku polo\u017eenou u\u017eivatelem.\u00a0<\/em><em>P\u0159e\u010dtete si tyto odkazy, extrahujete p\u0159\u00edslu\u0161n\u00e9 odstavce a vlo\u017e\u00edte je do LLM&#8230;<\/em><\/p>\n<p><em>Tento LLM p\u0159evezme p\u0159\u00edslu\u0161n\u00e9 odstavce, pod\u00edv\u00e1 se na dotaz a poskytne dob\u0159e naform\u00e1tovanou odpov\u011b\u010f s vhodn\u00fdmi pozn\u00e1mkami pod \u010darou ke ka\u017ed\u00e9 v\u011bt\u011b, kterou \u0159\u00edk\u00e1, proto\u017ee mu to bylo na\u0159\u00edzeno, byl instruov\u00e1n t\u00edmto konkr\u00e9tn\u00edm pokynem, \u0159adou odkaz\u016f a odstavc\u016f, aby u\u017eivatel dostal stru\u010dnou odpov\u011b\u010f s p\u0159\u00edslu\u0161n\u00fdmi uvozovkami.<\/em><\/p>\n<p><em>Kouzlo spo\u010d\u00edv\u00e1 v tom, \u017ee to v\u0161echno funguje dohromady v jedin\u00e9m, uspo\u0159\u00e1dan\u00e9m produktu, a proto jsme vytvo\u0159ili Perplexity.\u201c<\/em><\/p>\n<p>Srinivas, kter\u00fd d\u0159\u00edve pracoval jako v\u00fdzkumn\u00edk um\u011bl\u00e9 inteligence ve spole\u010dnostech DeepMind, Google a OpenAI, vid\u00ed Perplexity jako n\u00e1stroj objevov\u00e1n\u00ed, kter\u00fd podporuje zv\u011bdavost:<\/p>\n<p><em>\u201eCesta nekon\u010d\u00ed, jakmile dostanete odpov\u011b\u010f.\u00a0<\/em><em>Podle m\u00e9ho n\u00e1zoru cesta za\u010d\u00edn\u00e1 po obdr\u017een\u00ed odpov\u011bdi.\u00a0<\/em><em>N\u00ed\u017ee vid\u00edte souvisej\u00edc\u00ed ot\u00e1zky, ot\u00e1zky, kter\u00e9 byste si m\u011bli polo\u017eit.\u00a0<\/em><em>A pro\u010d?\u00a0<\/em><em>Proto\u017ee mo\u017en\u00e1 odpov\u011b\u010f nebyla dost dobr\u00e1 nebo odpov\u011b\u010f byla dost dobr\u00e1, ale pravd\u011bpodobn\u011b budete cht\u00edt s\u00e1hnout hloub\u011bji a zeptat se v\u00edce.\u00a0<\/em><em>Proto ve vyhled\u00e1vac\u00ed li\u0161t\u011b \u0159\u00edk\u00e1me, kde znalosti za\u010d\u00ednaj\u00ed, proto\u017ee znalosti nemaj\u00ed konce.\u00a0<\/em><em>M\u016f\u017eete to jen roz\u0161i\u0159ovat a roz\u0161i\u0159ovat.\u201c<\/em><\/p>\n<p class=\"has-medium-font-size\"><span style=\"font-size: 18pt;\"><strong>Pr\u016flomy v AI<\/strong><\/span><\/p>\n<p>Uv\u011bdomte si pros\u00edm, \u017ee i kdy\u017e Perplexity nen\u00ed dokonal\u00e1 a st\u00e1le m\u00e1 ur\u010ditou zaujatost, zejm\u00e9na pokud jde o informace o COVID-19, funguje v\u00fdrazn\u011b l\u00e9pe ne\u017e Google u t\u00e9m\u011b\u0159 v\u0161ech ostatn\u00edch vyhled\u00e1v\u00e1n\u00ed. Technologie AI zalo\u017een\u00e1 na Perplexity poskytuje p\u0159esn\u011bj\u0161\u00ed, komplexn\u011bj\u0161\u00ed a podrobn\u011bj\u0161\u00ed v\u00fdsledky, tak\u017ee je tou nejlep\u0161\u00ed volbou pro obecn\u00e9 vyhled\u00e1v\u00e1n\u00ed. Pokro\u010dil\u00e9 algoritmy zaji\u0161\u0165uj\u00ed, \u017ee u\u017eivatel\u00e9 obdr\u017e\u00ed ty nejrelevantn\u011bj\u0161\u00ed a nejpozoruhodn\u011bj\u0161\u00ed informace, \u010d\u00edm\u017e se Perplexity odli\u0161uje od tradi\u010dn\u00edch vyhled\u00e1va\u010d\u016f.<\/p>\n<p>Srinivas popisuje n\u011bkolik zp\u016fsob\u016f, jak Perplexity vyu\u017e\u00edv\u00e1 nejnov\u011bj\u0161\u00ed pokroky ve strojov\u00e9m u\u010den\u00ed a tak\u00e9 obecn\u00e9 inovace. To zahrnuje Retrieval Augmented Generation (RAG), pokro\u010dilou techniku \u200b\u200bzpracov\u00e1n\u00ed p\u0159irozen\u00e9ho jazyka (NLP), kter\u00e1 kombinuje schopnosti LLM se syst\u00e9my vyhled\u00e1v\u00e1n\u00ed informac\u00ed a vytv\u00e1\u0159\u00ed p\u0159esn\u011bj\u0161\u00ed a kontextov\u00e9 odpov\u011bdi.<\/p>\n<p>Tento p\u0159\u00edstup je zvl\u00e1\u0161t\u011b u\u017eite\u010dn\u00fd pro \u00fakoly, kter\u00e9 vy\u017eaduj\u00ed p\u0159esn\u00e9 a aktu\u00e1ln\u00ed informace, jako jsou odpov\u011bdi na ot\u00e1zky, souhrny a dialogov\u00e9 syst\u00e9my. Stru\u010dn\u011b \u0159e\u010deno, RAG zahrnuje vyhled\u00e1vac\u00ed aspekt dotazu, ale zmatenost jde d\u00e1le. \u0159\u00edk\u00e1 Srinivas:<\/p>\n<p><em>&#8222;Princip zmatenosti je, \u017ee byste nem\u011bli \u0159\u00edkat nic, co nem\u016f\u017eete znovu naj\u00edt.&#8220; To je je\u0161t\u011b mocn\u011bj\u0161\u00ed ne\u017e RAG, proto\u017ee RAG jen \u0159\u00edk\u00e1: \u201eOK, pou\u017eijte tento dodate\u010dn\u00fd kontext a napi\u0161te odpov\u011b\u010f.\u00a0<\/em><em>Ale my \u0159\u00edk\u00e1me: \u201aNepou\u017e\u00edvejte v\u00edc ne\u017e to\u2018.\u00a0<\/em><em>T\u00edmto zp\u016fsobem zajist\u00edme v\u011bcn\u00fd z\u00e1klad.\u00a0<\/em><em>A pokud nem\u00e1te dostatek informac\u00ed z dokument\u016f, kter\u00e9 jste z\u00edskali, \u0159ekn\u011bte: &#8218;Nem\u00e1me dostatek zdroj\u016f pro vyhled\u00e1v\u00e1n\u00ed, abychom v\u00e1m poskytli dobrou odpov\u011b\u010f.&#8217;\u201c<\/em><\/p>\n<p>Pou\u017e\u00edvaj\u00ed tak\u00e9 uva\u017eov\u00e1n\u00ed zalo\u017een\u00e9 na \u0159et\u011bzci my\u0161lenek, co\u017e je\u0161t\u011b v\u00edce zlep\u0161uje \u00fakoly NLP z hlediska v\u00fdkonu. \u0158et\u011bzec my\u0161lenek v AI odkazuje na schopnost jazykov\u00e9ho modelu generovat logick\u00e1, krok za krokem vysv\u011btlen\u00ed nebo sekvence my\u0161lenek, kter\u00e9 vedou k z\u00e1v\u011bru nebo odpov\u011bdi. Tento p\u0159\u00edstup zlep\u0161uje v\u00fdkon modelu p\u0159i slo\u017eit\u00fdch \u00faloh\u00e1ch uva\u017eov\u00e1n\u00ed t\u00edm, \u017ee ho povzbuzuje, aby formuloval mezikroky v procesu uva\u017eov\u00e1n\u00ed. Srinivas vysv\u011btluje:<\/p>\n<p><em>\u201eChain of Thought\u201c je velmi jednoduch\u00fd n\u00e1pad, kde nam\u00edsto pouh\u00e9ho tr\u00e9nov\u00e1n\u00ed v\u00fdzvy a dokon\u010den\u00ed m\u016f\u017eete model donutit proj\u00edt krokem uva\u017eov\u00e1n\u00ed, kde dojde k vysv\u011btlen\u00ed a pot\u00e9 k odpov\u011bdi.<\/em><\/p>\n<p><em>Skoro jako mezikroky, ne\u017e se dostanete ke kone\u010dn\u00e9 odpov\u011bdi.\u00a0<\/em><em>T\u00edm, \u017ee p\u0159inut\u00edte modelky proj\u00edt t\u00edmto my\u0161lenkov\u00fdm procesem, zajist\u00edte, \u017ee se p\u0159\u00edli\u0161 nep\u0159ilnou k nezn\u00e1m\u00fdm vzorc\u016fm a budou moci odpov\u00eddat na nov\u00e9 ot\u00e1zky, kter\u00e9 d\u0159\u00edve neznaly.\u201c<\/em><\/p>\n<p class=\"has-medium-font-size\"><span style=\"font-size: 18pt;\"><strong>Za\u010d\u00e1tek skute\u010dn\u00fdch pr\u016flom\u016f v oblasti my\u0161len\u00ed<\/strong><\/span><\/p>\n<p>Zb\u00fdv\u00e1 zjistit, zda je um\u011bl\u00e1 inteligence v z\u00e1sad\u011b schopna my\u0161len\u00ed na vy\u0161\u0161\u00ed \u00farovni, podobn\u011b jako lidsk\u00e9 kognitivn\u00ed procesy. Dosa\u017een\u00ed tohoto bodu v\u0161ak \u010d\u00e1ste\u010dn\u011b z\u00e1vis\u00ed na proveden\u00ed v\u00edce inferen\u010dn\u00edch v\u00fdpo\u010dt\u016f, kter\u00e9 v AI odkazuj\u00ed na v\u00fdpo\u010detn\u00ed zdroje a procesy zapojen\u00e9 do provozu modelu um\u011bl\u00e9 inteligence pro p\u0159edpov\u011bdi nebo rozhodnut\u00ed na z\u00e1klad\u011b nov\u00fdch dat.<\/p>\n<p>Tato f\u00e1ze je odli\u0161n\u00e1 od f\u00e1ze tr\u00e9ninku, kde se model vytv\u00e1\u0159\u00ed a optimalizuje. Stru\u010dn\u011b \u0159e\u010deno, inference je proces, kter\u00fdm model um\u011bl\u00e9 inteligence aplikuje nau\u010den\u00e9 vzory na nov\u00e1 data, aby vytvo\u0159il p\u0159edpov\u011bdi, klasifikace nebo jin\u00e9 v\u00fdsledky. Um\u011bl\u00e1 inteligence m\u016f\u017ee b\u00fdt nap\u0159\u00edklad pou\u017eita ke klasifikaci obr\u00e1zk\u016f nebo p\u0159edpov\u00edd\u00e1n\u00ed cen akci\u00ed.<\/p>\n<p>V\u00fdpo\u010detn\u00ed hledisko se t\u00fdk\u00e1 v\u00fdpo\u010detn\u00edho v\u00fdkonu pot\u0159ebn\u00e9ho k proveden\u00ed z\u00e1v\u011br\u016f. To zahrnuje hardwarov\u00e9, softwarov\u00e9 r\u00e1mce a algoritmy optimalizovan\u00e9 pro efektivn\u00ed v\u00fdpo\u010dty. \u0159\u00edk\u00e1 Srinivas:<\/p>\n<p><em>\u201eM\u016f\u017eete si popov\u00eddat s um\u011blou inteligenc\u00ed, kter\u00e1 m\u00e1 pocit, jako byste mluvili s Einsteinem nebo Feynmanem?\u00a0<\/em><em>Kdy\u017e jim polo\u017e\u00edte obt\u00ed\u017enou ot\u00e1zku, \u0159eknou: \u201eNev\u00edm.\u00a0<\/em><em>A pak po t\u00fddnu ud\u011blala spoustu v\u00fdzkum\u016f&#8230; a vr\u00e1t\u00ed se a prost\u011b t\u011b vyhod\u00ed pry\u010d.<\/em><\/p>\n<p><em>Mysl\u00edm, \u017ee pokud se n\u00e1m poda\u0159\u00ed dostat se na tuto \u00farove\u0148 inferen\u010dn\u00edch v\u00fdpo\u010dt\u016f, kter\u00e1 vede k dramaticky lep\u0161\u00ed odpov\u011bdi, kdy\u017e pou\u017eijete v\u00edce inferen\u010dn\u00edch v\u00fdpo\u010dt\u016f, pak to bude za\u010d\u00e1tek skute\u010dn\u00e9ho pr\u016flomu v my\u0161len\u00ed&#8230; Je to mo\u017en\u00e9.\u00a0<\/em><em>Je\u0161t\u011b jsme to nerozlouskli, ale nic n\u00e1m nebr\u00e1n\u00ed to n\u011bkdy prolomit.&#8220;<\/em><\/p>\n<p class=\"has-medium-font-size\"><span style=\"font-size: 18pt;\"><strong>Zv\u011bdavost je kl\u00ed\u010dovou sou\u010d\u00e1st\u00ed toho, co odd\u011bluje lidi od um\u011bl\u00e9 inteligence<\/strong><\/span><\/p>\n<p>Sou\u010d\u00e1st\u00ed rozlu\u0161t\u011bn\u00ed tohoto k\u00f3du je nau\u010dit AI, jak napodobovat p\u0159irozenou lidskou zv\u011bdavost. \u201eTo, co d\u011bl\u00e1 lidi v\u00fdjime\u010dn\u00fdmi, je jejich zv\u011bdavost,\u201c vysv\u011btluje Srinivas. &#8222;I kdyby to um\u011bl\u00e1 inteligence prolomila, stejn\u011b bychom ji museli po\u017e\u00e1dat, aby n\u011bco prozkoumala.&#8220; A jedna v\u011bc, kterou si mysl\u00edm, \u017ee um\u011bl\u00e1 inteligence je\u0161t\u011b neprolomila, je p\u0159irozen\u00e1 zv\u011bdavost a schopnost kl\u00e1st zaj\u00edmav\u00e9 ot\u00e1zky, abyste pochopili sv\u011bt a pak se do n\u011bj pono\u0159ili hloub\u011bji.\u201c<\/p>\n<p>Krom\u011b toho existuje mnoho kontroverz\u00ed a strachu kolem\u00a0<a href=\"https:\/\/articles.mercola.com\/sites\/articles\/archive\/2023\/04\/08\/dangers-of-artificial-general-intelligence.aspx\" target=\"_blank\" rel=\"noreferrer noopener\" data-type=\"link\" data-id=\"https:\/\/articles.mercola.com\/sites\/articles\/archive\/2023\/04\/08\/dangers-of-artificial-general-intelligence.aspx\">um\u011bl\u00e9 obecn\u00e9 inteligence<\/a>\u00a0(AGI), co\u017e se t\u00fdk\u00e1 typu um\u011bl\u00e9 inteligence, kter\u00e1 m\u00e1 schopnost porozum\u011bt, u\u010dit se a z\u00edsk\u00e1vat znalosti v \u0161irok\u00e9m spektru \u00fakol\u016f na stejn\u00e9 \u00farovni jako lid\u00e9 Pou\u017e\u00edvat inteligenci na srovnateln\u00e9 \u00farovni.<\/p>\n<p>Srinivas \u0159\u00edk\u00e1, \u017ee se nemus\u00edme starat o to, \u017ee \u201eAI bude darebn\u00e1 a ovl\u00e1dne sv\u011bt\u201c, ale ot\u00e1zkou je, kdo ovl\u00e1d\u00e1 v\u00fdpo\u010detn\u00ed v\u00fdkon, kter\u00fd provozuje AGI. \u201eJe to m\u00e9n\u011b o p\u0159\u00edstupu k vah\u00e1m modelu. Sp\u00ed\u0161e je to p\u0159\u00edstup k dat\u016fm, kter\u00fd stav\u00ed sv\u011bt do v\u011bt\u0161\u00ed koncentrace moci a do rukou p\u00e1r lid\u00ed. Proto\u017ee ne ka\u017ed\u00fd si bude moci dovolit takov\u00e9 mno\u017estv\u00ed v\u00fdpo\u010detn\u00edho v\u00fdkonu na zodpov\u011bzen\u00ed t\u011bch nejobt\u00ed\u017en\u011bj\u0161\u00edch ot\u00e1zek.\u201c<\/p>\n<p>Znakem vy\u0161\u0161\u00ed inteligence v AI, \u0159\u00edk\u00e1 Srinivas, je schopnost vytv\u00e1\u0159et nov\u00e9 znalosti a poskytovat pravdu na ot\u00e1zky, na kter\u00e9 nezn\u00e1me odpov\u011bdi \u2013 a pom\u00e1hat n\u00e1m pochopit, pro\u010d je to pravda.<\/p>\n<p>\u201eDok\u00e1\u017eete vyvinout AI, kter\u00e1 jako Galileo nebo Copernicus zpochyb\u0148uje na\u0161e p\u0159edchoz\u00ed ch\u00e1p\u00e1n\u00ed a p\u0159edstavuje novou pozici, kter\u00e1 je rozporupln\u00e1 a nepochopen\u00e1, ale mo\u017en\u00e1 nakonec pravdiv\u00e1? A jedna v\u011bc, kterou si mysl\u00edm, \u017ee um\u011bl\u00e1 inteligence je\u0161t\u011b neprolomila, je p\u0159irozen\u00e1 zv\u011bdavost a schopnost kl\u00e1st zaj\u00edmav\u00e9 ot\u00e1zky, abyste pochopili sv\u011bt a pak se do n\u011bj pono\u0159ili hloub\u011bji.\u201c<\/p>\n<p>&#8230;A odpov\u011b\u010f by m\u011bla b\u00fdt tak \u00fa\u017easn\u00e1, \u017ee ji ani ne\u010dek\u00e1te.&#8220;<\/p>\n<p class=\"has-medium-font-size\"><span style=\"font-size: 18pt;\"><strong>Jak\u00e1 je budoucnost vyhled\u00e1v\u00e1n\u00ed a um\u011bl\u00e9 inteligence?<\/strong><\/span><\/p>\n<p>Ji\u017e nyn\u00ed vid\u00edme n\u00e1stroje um\u011bl\u00e9 inteligence, jako je Perplexity, kter\u00e9 jsou exponenci\u00e1ln\u011b lep\u0161\u00ed ne\u017e st\u00e1vaj\u00edc\u00ed vyhled\u00e1va\u010de. Podle Srinivase v\u0161ak budoucnost nen\u00ed o v\u00fdvoji lep\u0161\u00edho vyhled\u00e1vac\u00edho n\u00e1stroje, ale sp\u00ed\u0161e platformy pro znalosti:<\/p>\n<p><em>\u201ePokud se p\u0159ibl\u00ed\u017e\u00edte, je\u0161t\u011b p\u0159ed internetem \u0161lo v\u017edy o sd\u00edlen\u00ed znalost\u00ed.\u00a0<\/em><em>To je v\u011bt\u0161\u00ed probl\u00e9m ne\u017e hled\u00e1n\u00ed&#8230; Tak\u017ee si p\u0159edstavujeme budoucnost, kde vstupn\u00edm bodem pro ot\u00e1zku u\u017e nebude jen vyhled\u00e1vac\u00ed pole.\u00a0<\/em><em>Vstupn\u00edm bodem pro ot\u00e1zku m\u016f\u017ee b\u00fdt, \u017ee poslouch\u00e1te nebo \u010dtete str\u00e1nku, \u017ee poslouch\u00e1te str\u00e1nku, kter\u00e1 je v\u00e1m \u010dtena, \u017ee jste se za\u010dali zaj\u00edmat o n\u011bjak\u00fd prvek a polo\u017e\u00edte dopl\u0148uj\u00edc\u00ed ot\u00e1zku.<\/em><\/p>\n<p><em>Proto \u0159\u00edk\u00e1m, \u017ee je velmi d\u016fle\u017eit\u00e9 pochopit, \u017ee va\u0161\u00edm posl\u00e1n\u00edm nen\u00ed m\u011bnit vyhled\u00e1v\u00e1n\u00ed.\u00a0<\/em><em>Jejich \u00fakolem je d\u011blat lidi chyt\u0159ej\u0161\u00edmi a d\u00e1vat jim znalosti.\u00a0<\/em><em>A cesta tam m\u016f\u017ee za\u010d\u00edt odkudkoli.\u00a0<\/em><em>M\u016f\u017ee to za\u010d\u00edt t\u00edm, \u017ee si p\u0159e\u010dtete str\u00e1nku.\u00a0<\/em><em>M\u016f\u017ee to za\u010d\u00edt poslechem \u010dl\u00e1nku&#8230; Je to prost\u011b cesta.\u00a0<\/em><em>Neexistuje \u017e\u00e1dn\u00fd konec.&#8220;<\/em><\/p>\n<p>Pamatujte, \u017ee Perplexity a dal\u0161\u00ed n\u00e1stroje um\u011bl\u00e9 inteligence nenahrazuj\u00ed va\u0161e vlastn\u00ed kritick\u00e9 my\u0161len\u00ed; sp\u00ed\u0161e slou\u017e\u00ed jako n\u00e1stroje ke zv\u00fd\u0161en\u00ed va\u0161\u00ed kreativity. Je d\u016fle\u017eit\u00e9 m\u00edt to na pam\u011bti a pamatovat si, \u017ee AI je dopl\u0148kem, nikoli n\u00e1hradou va\u0161ich intelektu\u00e1ln\u00edch a tv\u016fr\u010d\u00edch schopnost\u00ed.<\/p>\n<p>I kdy\u017e\u00a0<a href=\"https:\/\/articles.mercola.com\/sites\/articles\/archive\/2024\/02\/22\/transformative-potential-chatgpt.aspx\" target=\"_blank\" rel=\"noreferrer noopener\" data-type=\"link\" data-id=\"https:\/\/articles.mercola.com\/sites\/articles\/archive\/2024\/02\/22\/transformative-potential-chatgpt.aspx\">je t\u0159eba p\u0159ijmout preventivn\u00ed opat\u0159en\u00ed<\/a>\u00a0, jako je nezve\u0159ej\u0148ov\u00e1n\u00ed osobn\u00edch nebo d\u016fv\u011brn\u00fdch informac\u00ed, nejde o to nahradit lidskou \u010dinnost, ale pos\u00edlit ji, aby se jednotlivci mohli soust\u0159edit na aspekty sv\u00e9 pr\u00e1ce, kter\u00e9 jsou jedine\u010dn\u011b lidsk\u00e9 Vy\u017eadovat vlastnosti, jako je empatie, strategick\u00e9 my\u0161len\u00ed , kreativita a zv\u011bdavost. Srinivas vysv\u011btluje:<\/p>\n<p><em>\u201eMysl\u00edm, \u017ee zv\u011bdavost je to, co d\u011bl\u00e1 lidi v\u00fdjime\u010dn\u00fdmi, a my chceme tuto zv\u011bdavost uspokojit.\u00a0<\/em><em>To je posl\u00e1n\u00edm spole\u010dnosti a my k tomu vyu\u017e\u00edv\u00e1me s\u00edlu AI a v\u0161ech t\u011bchto hrani\u010dn\u00edch model\u016f.\u00a0<\/em><em>A v\u011b\u0159\u00edm, \u017ee ve sv\u011bt\u011b, kde m\u00e1me je\u0161t\u011b v\u00fdkonn\u011bj\u0161\u00ed AI, lidsk\u00e1 zv\u011bdavost nezmiz\u00ed, ale u\u010din\u00ed lidi je\u0161t\u011b v\u00fdjime\u010dn\u011bj\u0161\u00edmi.<\/em><\/p>\n<p><em>Se v\u0161\u00ed p\u0159idanou silou se budou c\u00edtit je\u0161t\u011b v\u00edce zmocn\u011bni, zv\u011bdav\u011bj\u0161\u00ed a znalej\u0161\u00ed v hled\u00e1n\u00ed pravdy, a to povede k za\u010d\u00e1tku nekone\u010dna.\u201c<\/em><\/p>\n<p><em>Anal\u00fdza od Dr. Josef Mercola<\/em><\/p>\n<p><span style=\"font-size: 18pt;\"><strong>Prameny:<\/strong><\/span><\/p>\n<ul class=\"wp-block-list\">\n<li><sup>1\u00a0<\/sup>\u00a0<a href=\"https:\/\/lexfridman.com\/aravind-srinivas-transcript#chapter0_introduction\" target=\"_blank\" rel=\"noreferrer noopener\">LexFridman.com, P\u0159epis pro Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet, 0:28<\/a><\/li>\n<li><sup>2\u00a0<\/sup>\u00a0<a href=\"https:\/\/lexfridman.com\/aravind-srinivas-transcript#chapter0_introduction\" target=\"_blank\" rel=\"noreferrer noopener\">LexFridman.com, P\u0159epis pro Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet, 2:05<\/a><\/li>\n<li><sup>3\u00a0<\/sup>\u00a0<a href=\"https:\/\/lexfridman.com\/aravind-srinivas-transcript#chapter0_introduction\" target=\"_blank\" rel=\"noreferrer noopener\">LexFridman.com, P\u0159epis pro Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet, 7:14<\/a><\/li>\n<li><sup>4\u00a0<\/sup>\u00a0<a href=\"https:\/\/lexfridman.com\/aravind-srinivas-transcript#chapter0_introduction\" target=\"_blank\" rel=\"noreferrer noopener\">LexFridman.com, P\u0159epis pro Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet, 1:56:44<\/a><\/li>\n<li><sup>5\u00a0<\/sup>\u00a0<a href=\"https:\/\/lexfridman.com\/aravind-srinivas-transcript#chapter0_introduction\" target=\"_blank\" rel=\"noreferrer noopener\">LexFridman.com, P\u0159epis pro Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet, 1:16:04<\/a><\/li>\n<li><sup>6,\u00a0<\/sup>\u00a0<sup>7\u00a0<\/sup>\u00a0<a href=\"https:\/\/lexfridman.com\/aravind-srinivas-transcript#chapter0_introduction\" target=\"_blank\" rel=\"noreferrer noopener\">LexFridman.com, P\u0159epis pro Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet, 1:23:53<\/a><\/li>\n<li><sup>8\u00a0<\/sup>\u00a0<a href=\"https:\/\/lexfridman.com\/aravind-srinivas-transcript#chapter0_introduction\" target=\"_blank\" rel=\"noreferrer noopener\">LexFridman.com, P\u0159epis pro Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet, 1:34<\/a><\/li>\n<li><sup>9\u00a0<\/sup>\u00a0<a href=\"https:\/\/lexfridman.com\/aravind-srinivas-transcript#chapter0_introduction\" target=\"_blank\" rel=\"noreferrer noopener\">LexFridman.com, P\u0159epis pro Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet, 2:34<\/a><\/li>\n<li><sup>10\u00a0<\/sup>\u00a0<a href=\"https:\/\/lexfridman.com\/aravind-srinivas-transcript#chapter0_introduction\" target=\"_blank\" rel=\"noreferrer noopener\">LexFridman.com, P\u0159epis pro Aravind Srinivas: Perplexity CEO on Future of AI, Search &amp; the Internet, 2:50<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"elementor-element elementor-element-8c57238 quelle dc-has-condition dc-condition-empty elementor-widget elementor-widget-heading\" data-id=\"8c57238\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n<div class=\"elementor-widget-container\">\n<h3 class=\"elementor-heading-title elementor-size-default\"><span style=\"font-size: 10pt;\"><a href=\"https:\/\/articles.mercola.com\/sites\/articles\/archive\/2024\/07\/20\/perplexity-search-engine.aspx\" target=\"_blank\" rel=\"nofollow noopener\">Zdroj<\/a><\/span><\/h3>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Historie na prvn\u00ed pohled Perplexity je \u201emotor odpov\u011bd\u00ed\u201c poh\u00e1n\u011bn\u00fd um\u011blou inteligenc\u00ed, kter\u00fd poskytuje p\u0159\u00edm\u00e9, zdrojov\u00e9&#8230;<\/p>\n","protected":false},"author":2,"featured_media":58851,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[7],"tags":[3101,7674,6851],"_links":{"self":[{"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/posts\/58850"}],"collection":[{"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/comments?post=58850"}],"version-history":[{"count":0,"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/posts\/58850\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/media\/58851"}],"wp:attachment":[{"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/media?parent=58850"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/categories?post=58850"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.infokuryr.cz\/n\/wp-json\/wp\/v2\/tags?post=58850"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}