{"id":11426,"date":"2024-04-08T17:45:24","date_gmt":"2024-04-08T17:45:24","guid":{"rendered":"https:\/\/dailyai.com\/?p=11426"},"modified":"2024-04-09T08:28:17","modified_gmt":"2024-04-09T08:28:17","slug":"inside-big-techs-tussle-over-ai-training-data","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/04\/inside-big-techs-tussle-over-ai-training-data\/","title":{"rendered":"P\u00e5 innsiden av Big Techs kamp om AI-treningsdata"},"content":{"rendered":"

I den hektiske jakten p\u00e5 AI-treningsdata har teknologigigantene OpenAI, Google og Meta angivelig omg\u00e5tt bedriftens retningslinjer, endret reglene sine og diskutert omg\u00e5else av opphavsrettsloven.\u00a0<\/b><\/p>\n

A <\/span>New York Times' unders\u00f8kelse<\/span><\/a> avsl\u00f8rer hvor langt disse selskapene har g\u00e5tt for \u00e5 h\u00f8ste informasjon p\u00e5 nettet for \u00e5 mate sine datahungrige AI-systemer.<\/span><\/p>\n

I slutten av 2021 utviklet OpenAI-forskere et talegjenkjenningsverkt\u00f8y kalt Whisper for \u00e5 transkribere YouTube-videoer n\u00e5r det er mangel p\u00e5 anerkjente engelskspr\u00e5klige tekstdata.\u00a0<\/span><\/p>\n

Til tross for interne diskusjoner om mulige brudd p\u00e5 YouTubes regler, som forbyr bruk av videoer til \"uavhengige\" applikasjoner,\u00a0<\/span><\/p>\n

NYT fant ut at OpenAI til slutt transkriberte over \u00e9n million timer med YouTube-innhold. Greg Brockman, OpenAIs president, hjalp personlig til med \u00e5 samle inn videoene. Den transkriberte teksten ble deretter matet inn i GPT-4.<\/span><\/p>\n

Google skal ogs\u00e5 ha transkribert YouTube-videoer for \u00e5 h\u00f8ste tekst til AI-modellene sine, noe som potensielt krenker videoskapernes opphavsrett. <\/span><\/p>\n

Dette kommer dager etter at YouTubes administrerende direkt\u00f8r sa at slik aktivitet ville bryte med <\/span>selskapets tjenestevilk\u00e5r<\/span><\/a> og undergrave skaperne.\u00a0<\/span><\/p>\n

I juni 2023 ba Googles juridiske avdeling om endringer i selskapets retningslinjer for personvern, slik at offentlig tilgjengelig innhold fra Google Dokumenter og andre Google-apper kunne brukes i et bredere spekter av AI-produkter.\u00a0<\/span><\/p>\n

Meta, som selv mangler data, har vurdert ulike alternativer for \u00e5 skaffe seg mer treningsdata.\u00a0<\/span><\/p>\n

Ledere diskuterte \u00e5 betale for boklisensrettigheter, kj\u00f8pe forlaget Simon & Schuster og til og med h\u00f8ste opphavsrettsbeskyttet materiale fra Internett uten tillatelse, med risiko for potensielle s\u00f8ksm\u00e5l.\u00a0<\/span><\/p>\n

Metas advokater argumenterte for at bruk av data til \u00e5 trene opp AI-systemer burde falle inn under \"fair use\", med henvisning til en rettsavgj\u00f8relse fra 2015 som involverte Googles bokskanningsprosjekt.<\/span><\/p>\n

Etiske bekymringer og fremtiden for AI-oppl\u00e6ringsdata<\/h2>\n

Disse teknologiselskapenes kollektive handlinger understreker den kritiske betydningen av nettbaserte data i den blomstrende AI-industrien.<\/span><\/p>\n

Denne praksisen har skapt bekymring for brudd p\u00e5 opphavsretten og rettferdig kompensasjon til opphavsmennene.\u00a0<\/span><\/p>\n

Filmskaperen og forfatteren Justine Bateman fortalte Copyright Office at AI-modeller tok innhold - inkludert hennes tekster og filmer - uten tillatelse eller betaling. <\/span><\/p>\n

\"Dette er det st\u00f8rste tyveriet i USA, punktum\", sier hun i et intervju.<\/span><\/p>\n

I billedkunsten har MidJourney og andre bildemodeller v\u00e6rt <\/span>har vist seg \u00e5 generere opphavsrett<\/span><\/a> innhold, som scener fra Marvel-filmer.\u00a0<\/span><\/p>\n

Noen eksperter sp\u00e5r at nettbaserte data av h\u00f8y kvalitet kan v\u00e6re oppbrukt innen 2026, og selskaper utforsker derfor alternative metoder, for eksempel \u00e5 generere syntetiske data ved hjelp av AI-modeller selv.\u00a0<\/span>Syntetiske treningsdata har imidlertid sine egne risikoer og utfordringer, og kan ha en negativ innvirkning p\u00e5 <\/span>p\u00e5virke kvaliteten p\u00e5 modellene<\/span><\/a>.\u00a0<\/span><\/p>\n

OpenAI-sjef Sam Altman erkjente selv at nettdataene er begrensede i en tale p\u00e5 en teknologikonferanse i mai 2023: \"Det vil ta slutt\", sa han.<\/span><\/p>\n

Sy Damle, en advokat som representerer Andreessen Horowitz, et venturekapitalfirma i Silicon Valley, diskuterte ogs\u00e5 utfordringen: \"Den eneste praktiske m\u00e5ten disse verkt\u00f8yene kan eksistere p\u00e5, er hvis de kan trenes opp p\u00e5 enorme datamengder uten \u00e5 m\u00e5tte lisensiere disse dataene. Datamengdene som trengs, er s\u00e5 store at selv ikke kollektiv lisensiering kan fungere.\"<\/span><\/p>\n

NYT og OpenAI er l\u00e5st i en bitter opphavsrettssak<\/a>Times krever sannsynligvis millionerstatning.<\/p>\n

OpenAI slo tilbake og beskyldte Times for \u00e5 \"hacking\" av modellene deres<\/a> for \u00e5 finne eksempler p\u00e5 brudd p\u00e5 opphavsretten.<\/p>\n

Med \"hacking\" mener de jailbreaking eller red-teaming, som inneb\u00e6rer at man retter seg mot modellen med spesialformulerte instruksjoner som er ment \u00e5 manipulere utfallet.<\/p>\n

NYT sa at de ikke hadde trengt \u00e5 ty til jailbreaking-modeller hvis AI-selskapene var \u00e5pne om dataene de hadde brukt.<\/p>\n

Denne innsidegranskningen bidrar utvilsomt til \u00e5 stemple Big Techs datakupp som etisk og juridisk uakseptabelt.<\/p>\n

S\u00f8ksm\u00e5lene hoper seg opp,<\/span>\u00a0det juridiske landskapet rundt bruken av nettbaserte data til AI-trening er ekstremt usikkert.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

I den hektiske jakten p\u00e5 AI-treningsdata har teknologigigantene OpenAI, Google og Meta angivelig omg\u00e5tt bedriftens retningslinjer, endret reglene sine og diskutert \u00e5 omg\u00e5 opphavsrettsloven. En New York Times-etterforskning avsl\u00f8rer hvor langt disse selskapene har g\u00e5tt for \u00e5 h\u00f8ste informasjon p\u00e5 nettet for \u00e5 mate sine datahungrige AI-systemer. I slutten av 2021 utviklet OpenAI-forskere et talegjenkjenningsverkt\u00f8y kalt Whisper for \u00e5 transkribere YouTube-videoer n\u00e5r de sto overfor mangel p\u00e5 anerkjente engelskspr\u00e5klige tekstdata. Til tross for interne diskusjoner om potensielt brudd p\u00e5 YouTubes regler, som forbyr bruk av videoene til \"uavhengige\" applikasjoner, fant NYT ut at OpenAI til slutt transkriberte over en million timer<\/p>","protected":false},"author":2,"featured_media":11427,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[197],"class_list":["post-11426","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-copyright"],"yoast_head":"\nInside Big Tech\u2019s tussle over AI training data | 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\/nb\/2024\/04\/inside-big-techs-tussle-over-ai-training-data\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Inside Big Tech\u2019s tussle over AI training data | DailyAI\" \/>\n<meta property=\"og:description\" content=\"In the frantic pursuit of AI training data, tech giants OpenAI, Google, and Meta have reportedly bypassed corporate policies, altered their rules, and discussed circumventing copyright law.\u00a0 A New York Times investigation reveals the lengths these companies have gone to harvest online information to feed their data-hungry AI systems. In late 2021, OpenAI researchers developed a speech recognition tool called Whisper to transcribe YouTube videos when facing a shortage of reputable English-language text data.\u00a0 Despite internal discussions about potentially violating YouTube’s rules, which prohibit using its videos for “independent” applications,\u00a0 NYT found that OpenAI ultimately transcribed over one million hours\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/nb\/2024\/04\/inside-big-techs-tussle-over-ai-training-data\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-08T17:45:24+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-09T08:28:17+00:00\" \/>\n<meta property=\"og:image\" 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