{"id":12825,"date":"2024-06-12T10:19:09","date_gmt":"2024-06-12T10:19:09","guid":{"rendered":"https:\/\/dailyai.com\/?p=12825"},"modified":"2024-06-13T22:25:48","modified_gmt":"2024-06-13T22:25:48","slug":"googles-search-engine-experience-sge-threatens-to-scale-ais-environmental-impacts","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2024\/06\/googles-search-engine-experience-sge-threatens-to-scale-ais-environmental-impacts\/","title":{"rendered":"Googles Search Engine Experience (SGE) kan p\u00e5skynda AI:s milj\u00f6p\u00e5verkan"},"content":{"rendered":"

P\u00e5 Googles senaste flaggskeppskonferens I\/O presenterade f\u00f6retaget sin Search Generative Experience (SGE) - som kommer att integrera generativ AI i Google Search.\u00a0<\/b><\/p>\n

SGE, som har som m\u00e5l att ge AI-genererade svar till \u00f6ver en miljard anv\u00e4ndare i slutet av 2024, f\u00f6rlitar sig p\u00e5 Gemini, Googles familj av stora spr\u00e5kmodeller (LLM), f\u00f6r att generera m\u00e4nniskoliknande svar p\u00e5 s\u00f6kfr\u00e5gor.<\/span><\/p>\n

Ist\u00e4llet f\u00f6r en traditionell Google-s\u00f6kning, som fr\u00e4mst visar l\u00e4nkar, kommer du att f\u00e5 en AI-genererad sammanfattning tillsammans med andra resultat.<\/p>\n

\"SGE\"
SGE b\u00e4ddar in AI-genererad text i s\u00f6kresultat.<\/figcaption><\/figure>\n

Denna \"AI-\u00f6versikt\" har kritiserats f\u00f6r att tillhandah\u00e5lla nonsensinformation<\/a>och Google arbetar snabbt p\u00e5 l\u00f6sningar innan man b\u00f6rjar med massutrullningen.<\/p>\n

Men bortsett fr\u00e5n att rekommendera att man l\u00e4gger lim p\u00e5 pizza och att pytonormar \u00e4r d\u00e4ggdjur, finns det ett annat problem med Googles nya AI-drivna s\u00f6kstrategi: dess milj\u00f6avtryck.\u00a0<\/span><\/p>\n

Varf\u00f6r SGE \u00e4r resurskr\u00e4vande<\/h2>\n

Medan traditionella s\u00f6kmotorer bara h\u00e4mtar befintlig information fr\u00e5n internet, m\u00e5ste generativa AI-system som SGE skapa helt nytt inneh\u00e5ll f\u00f6r varje fr\u00e5ga. <\/span><\/p>\n

Denna process kr\u00e4ver betydligt mer datorkraft och energi \u00e4n konventionella s\u00f6kmetoder.<\/span><\/p>\n

Det uppskattas att mellan 3 och 10 miljarder s\u00f6kningar g\u00f6rs p\u00e5 Google varje dag. Effekterna av att till\u00e4mpa AI p\u00e5 ens en liten andel av dessa s\u00f6kningar skulle kunna vara otroliga.\u00a0<\/span><\/p>\n

Sasha Luccioni, forskare p\u00e5 AI-bolaget Hugging Face som studerar milj\u00f6p\u00e5verkan av dessa tekniker, diskuterade nyligen den kraftiga \u00f6kningen av energif\u00f6rbrukningen som SGE kan leda till. <\/span><\/p>\n

Luccioni och hennes team uppskattar att generering av s\u00f6kinformation med AI kan kr\u00e4va 30 g\u00e5nger s\u00e5 mycket energi som en konventionell s\u00f6kning.<\/span>\u00a0<\/span><\/p>\n

\"Det \u00e4r ju bara logiskt, eller hur? Medan en vanlig s\u00f6kfr\u00e5ga hittar befintlig data fr\u00e5n internet, m\u00e5ste applikationer som AI Overviews skapa helt ny information\", s\u00e4ger han. <\/span>ber\u00e4ttade hon f\u00f6r Scientific American<\/span><\/a>.\u00a0<\/span><\/p>\n

\u00c5r 2023 fann Luccioni och hennes kollegor att utbildningen av LLM BLOOM sl\u00e4ppte ut v\u00e4xthusgaser motsvarande 19 kg CO2 per anv\u00e4ndningsdag, eller den m\u00e4ngd som genereras genom att k\u00f6ra 49 mil i en genomsnittlig bensindriven bil. De fann ocks\u00e5 att generering av<\/span>\u00a0bara tv\u00e5 bilder med hj\u00e4lp av AI kan f\u00f6rbruka lika mycket energi som en full laddning av en genomsnittlig smartphone.<\/span><\/p>\n

Tidigare studier har uppskattat att koldioxidutsl\u00e4ppen i samband med tr\u00e4ning av en AI-modell kan \u00f6verstiga utsl\u00e4ppen fr\u00e5n hundratals kommersiella flygningar eller en genomsnittlig bil under dess livstid.<\/p>\n

\"AI:s
CO2-p\u00e5verkan av tr\u00e4ning av AI-modeller. K\u00e4llor: MIT<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span> Teknik\u00f6versikt<\/a>.<\/figcaption><\/figure>\n

I en <\/span>intervju med Reuters f\u00f6rra \u00e5ret<\/span><\/a>John Hennessy, ordf\u00f6rande f\u00f6r Googles moderbolag Alphabet, medgav sj\u00e4lv de \u00f6kade kostnader som \u00e4r f\u00f6rknippade med AI-driven s\u00f6kning.\u00a0<\/span><\/p>\n

\"En b\u00f6rs med en stor spr\u00e5kmodell kan kosta tio g\u00e5nger mer \u00e4n en traditionell s\u00f6kning\", sade han, \u00e4ven om han f\u00f6rutsp\u00e5dde att kostnaderna skulle minska i takt med att modellerna finjusteras.<\/span><\/p>\n

AI-s\u00f6kningens p\u00e5frestning p\u00e5 infrastruktur och resurser<\/h2>\n

Datacenter med AI-servrar ber\u00e4knas f\u00f6rdubbla sin energif\u00f6rbrukning fram till 2026 och potentiellt anv\u00e4nda s\u00e5 mycket <\/span>makt som ett litet land<\/span><\/a>.\u00a0<\/span><\/p>\n

Med chiptillverkare som NVIDIA som rullar ut st\u00f6rre och kraftfullare chip kan det snart ta <\/span>motsvarar flera k\u00e4rnkraftverk<\/span><\/a> f\u00f6r att k\u00f6ra storskaliga AI-arbetsbelastningar.\u00a0\u00a0<\/span><\/p>\n

N\u00e4r AI-f\u00f6retagen svarar p\u00e5 fr\u00e5gor om hur detta kan uppr\u00e4tth\u00e5llas brukar de h\u00e4nvisa till f\u00f6rnybara energik\u00e4llors \u00f6kade effektivitet och kapacitet samt AI-h\u00e5rdvarans f\u00f6rb\u00e4ttrade energieffektivitet.\u00a0<\/span><\/p>\n

\u00d6verg\u00e5ngen till f\u00f6rnybara energik\u00e4llor f\u00f6r datacenter har dock visat sig vara l\u00e5ngsam och komplicerad.\u00a0<\/span><\/p>\n

Som Shaolei Ren, dataingenj\u00f6r vid University of California, Riverside, som studerar h\u00e5llbar AI, f\u00f6rklarade: \"Det finns en obalans mellan utbud och efterfr\u00e5gan p\u00e5 f\u00f6rnybar energi. Den intermittenta karakt\u00e4ren hos f\u00f6rnybar energiproduktion matchar ofta inte den konstanta, stabila kraft som kr\u00e4vs av datacenter.\"<\/span><\/p>\n

P\u00e5 grund av denna obalans h\u00e5lls anl\u00e4ggningar som drivs med fossila br\u00e4nslen ig\u00e5ng l\u00e4ngre \u00e4n planerat i omr\u00e5den med h\u00f6g koncentration av teknisk infrastruktur.\u00a0<\/span><\/p>\n

En annan l\u00f6sning p\u00e5 energiproblemen ligger i energieffektiv AI-h\u00e5rdvara. NVIDIA:s nytt Blackwell-chip<\/a> \u00e4r m\u00e5nga g\u00e5nger mer energieffektiva \u00e4n sina f\u00f6reg\u00e5ngare, och andra f\u00f6retag som Delta<\/a> arbetar med effektiv h\u00e5rdvara f\u00f6r datacenter.<\/p>\n

Rama Ramakrishnan, professor vid MIT Sloan School of Management, f\u00f6rklarade att \u00e4ven om antalet s\u00f6kningar som g\u00e5r via LLM:er sannolikt kommer att \u00f6ka, verkar kostnaden per s\u00f6kning minska i takt med att f\u00f6retagen arbetar f\u00f6r att g\u00f6ra h\u00e5rd- och mjukvara mer effektiv.<\/span><\/p>\n

Men kommer det att r\u00e4cka f\u00f6r att kompensera f\u00f6r det \u00f6kande energibehovet?\u00a0<\/span>\"Det \u00e4r sv\u00e5rt att f\u00f6rutsp\u00e5\", s\u00e4ger Ramakrishnan. \"Min gissning \u00e4r att det f\u00f6rmodligen kommer att g\u00e5 upp, men det kommer f\u00f6rmodligen inte att g\u00e5 upp dramatiskt.\"<\/span><\/p>\n

I takt med att AI-racet intensifieras har det blivit n\u00f6dv\u00e4ndigt att minska milj\u00f6p\u00e5verkan. N\u00f6den \u00e4r uppfinningarnas moder, och teknikf\u00f6retagen \u00e4r pressade att skapa l\u00f6sningar f\u00f6r att h\u00e5lla AI:s momentum rullande.<\/p>\n

Energieffektiva h\u00e5rdvaror, f\u00f6rnybara energik\u00e4llor och \u00e4ven fusionskraft<\/a> kan bana v\u00e4g f\u00f6r en mer h\u00e5llbar framtid f\u00f6r AI, men resan \u00e4r kantad av os\u00e4kerhet.<\/p>\n

SGE kan ocks\u00e5 belasta vattenf\u00f6rs\u00f6rjningen<\/h2>\n

Vi kan ocks\u00e5 spekulera i de vattenbehov som SGE skapar, vilket skulle kunna spegla de stora \u00f6kningarna av vattenf\u00f6rbrukningen i datacenter som tillskrivs den generativa AI-industrin.\u00a0<\/span><\/p>\n

Enligt Microsofts senaste milj\u00f6rapporter har vattenf\u00f6rbrukningen <\/span>\u00f6kade med upp till 50%<\/span><\/a> i vissa regioner, med en f\u00f6rdubbling av vattenf\u00f6rbrukningen i Las Vegas datacenter sedan 2022. Googles rapporter registrerade ocks\u00e5 en \u00f6kning med 20% av vattenutgifterna f\u00f6r datacenter 2023 j\u00e4mf\u00f6rt med 2022.\u00a0<\/span><\/p>\n

Ren tillskriver AI den st\u00f6rsta delen av tillv\u00e4xten och s\u00e4ger: \"Det \u00e4r rimligt att s\u00e4ga att den st\u00f6rsta delen av tillv\u00e4xten beror p\u00e5 AI, inklusive Microsofts stora investeringar i generativ AI och partnerskap med OpenAI.\"<\/span><\/p>\n

Ren uppskattade att varje interaktion med ChatGPT, som best\u00e5r av 5 till 50 uppmaningar, f\u00f6rbrukar h\u00e4pnadsv\u00e4ckande 500 ml vatten.\u00a0<\/span><\/p>\n

I en <\/span>papper<\/span><\/a> som publicerades 2023, skrev Rens team: \"Den globala AI-efterfr\u00e5gan kan vara ansvarig f\u00f6r 4,2 - 6,6 miljarder kubikmeter vattenuttag 2027, vilket \u00e4r mer \u00e4n det totala \u00e5rliga vattenuttaget i 4-6 Danmark eller h\u00e4lften av Storbritannien.\"<\/span><\/p>\n

Med hj\u00e4lp av Rens forskning kan vi skapa n\u00e5gra servettber\u00e4kningar f\u00f6r hur Googles SGE kan spela in i dessa f\u00f6ruts\u00e4gelser.<\/span><\/p>\n

L\u00e5t oss s\u00e4ga att Google bearbetar i genomsnitt 8,5 miljarder s\u00f6kningar per dag \u00f6ver hela v\u00e4rlden. Om vi antar att \u00e4ven en br\u00e5kdel av dessa s\u00f6kningar, s\u00e4g 10%, anv\u00e4nder SGE och genererar AI-drivna svar med i genomsnitt 50 ord per svar, kan vattenf\u00f6rbrukningen bli fenomenal.<\/span><\/p>\n

Med hj\u00e4lp av Rens uppskattning p\u00e5 500 milliliter vatten per 5 till 50 fr\u00e5gor (s\u00e4g, en enda session p\u00e5 Google SGE) kan vi grovt ber\u00e4kna att 850 miljoner SGE-drivna s\u00f6kningar (10% av Googles dagliga s\u00f6kningar) skulle f\u00f6rbruka cirka 425 miljoner liter vatten dagligen.\u00a0<\/span><\/p>\n

Detta \u00e4r likv\u00e4rdigt med dagligen<\/em> vattenf\u00f6rbrukning i en stad med en befolkning p\u00e5 \u00f6ver 2,5 miljoner m\u00e4nniskor.<\/span><\/p>\n

I verkligheten kan den faktiska vattenf\u00f6rbrukningen variera beroende p\u00e5 faktorer som effektiviteten i Googles datacenter och den specifika implementeringen och omfattningen av SGE. <\/span><\/p>\n

\u00c4nd\u00e5 \u00e4r det mycket rimligt att spekulera i att SGE och andra former av AI-s\u00f6kning kommer att \u00f6ka AI:s resursanv\u00e4ndning ytterligare.\u00a0<\/span><\/p>\n

Kommer globala AI-upplevelser som SGE att vara h\u00e5llbara i stor skala? M\u00e5nga faktorer spelar in, men det kommer inte att bli n\u00e5gon dans p\u00e5 rosor.\u00a0\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Under Googles senaste flaggskeppskonferens I\/O presenterade f\u00f6retaget sin Search Generative Experience (SGE) - som kommer att integrera generativ AI i Google Search. SGE, som syftar till att ge AI-genererade svar till \u00f6ver en miljard anv\u00e4ndare i slutet av 2024, f\u00f6rlitar sig p\u00e5 Gemini, Googles familj av stora spr\u00e5kmodeller (LLM), f\u00f6r att generera m\u00e4nniskoliknande svar p\u00e5 s\u00f6kfr\u00e5gor. Ist\u00e4llet f\u00f6r en traditionell Google-s\u00f6kning, som fr\u00e4mst visar l\u00e4nkar, kommer du att presenteras med en AI-genererad sammanfattning tillsammans med andra resultat. Denna \"AI-\u00f6versikt\" har kritiserats f\u00f6r att ge nonsensinformation, och Google arbetar snabbt p\u00e5 l\u00f6sningar innan det b\u00f6rjar massa<\/p>","protected":false},"author":2,"featured_media":12826,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[306,102],"class_list":["post-12825","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-environment","tag-google"],"yoast_head":"\nGoogle's Search Engine Experience (SGE) could accelerate AI's environmental impacts | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/sv\/2024\/06\/googles-search-engine-experience-sge-threatens-to-scale-ais-environmental-impacts\/\" \/>\n<meta property=\"og:locale\" content=\"sv_SE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google's Search Engine Experience (SGE) could accelerate AI's environmental impacts | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Google\u2019s latest flagship I\/O conference saw the company double down on its Search Generative Experience (SGE) \u2013 which will embed generative AI into Google Search.\u00a0 SGE, which aims to bring AI-generated answers to over a billion users by the end of 2024, relies on Gemini, Google’s family of large language models (LLMs), to generate human-like responses to search queries. Instead of a traditional Google search, which primarily displays links, you’ll be presented with an AI-generated summary alongside other results. This “AI Overview” has been criticized for providing nonsense information, and Google is fast working on solutions before it begins mass\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/sv\/2024\/06\/googles-search-engine-experience-sge-threatens-to-scale-ais-environmental-impacts\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-06-12T10:19:09+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-06-13T22:25:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/06\/DALL\u00b7E-2024-06-12-11.07.37-A-dark-themed-high-quality-landscape-image-showing-the-environmental-impacts-of-Googles-Search-Engine-Experience-SGE.-Highlight-the-massive-data-.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" 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