{"id":13619,"date":"2024-07-29T21:28:45","date_gmt":"2024-07-29T21:28:45","guid":{"rendered":"https:\/\/dailyai.com\/?p=13619"},"modified":"2024-07-31T08:08:36","modified_gmt":"2024-07-31T08:08:36","slug":"the-ai-monetization-conundrum-rages-on-as-openais-costs-rocket","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2024\/07\/the-ai-monetization-conundrum-rages-on-as-openais-costs-rocket\/","title":{"rendered":"Kostnadene for \u00e5 tjene penger p\u00e5 kunstig intelligens skyter i v\u00e6ret"},"content":{"rendered":"

Til tross for sin enorme popularitet brenner OpenAI angivelig gjennom kontanter i et uholdbart tempo og kan st\u00e5 overfor et svimlende tap p\u00e5 $5 milliarder innen utgangen av 2024.<\/b><\/p>\n

Det viser en sjokkrapport fra <\/span>Informasjon<\/span><\/a>som siterer uutgitte interne regnskaper og bransjetall som avsl\u00f8rer hvordan OpenAI allerede har brukt rundt $7 milliarder p\u00e5 \u00e5 trene opp modeller og s\u00e5 mye som $1,5 milliarder p\u00e5 \u00e5 ansette folk.\u00a0<\/span><\/p>\n

Dylan Patel fra SemiAnalysis hadde tidligere fortalt The Information at OpenAI angivelig skal ha delt ut noen <\/span>$700 000 per dag<\/span><\/a> til \u00e5 kj\u00f8re modellene sine i 2022, med et tap p\u00e5 nesten $500 millioner bare det \u00e5ret.\u00a0<\/span><\/p>\n

Til tross for at OpenAI genererer betydelige inntekter, anslagsvis mellom $3,5 og $4,5 milliarder kroner \u00e5rlig, er utgiftene langt h\u00f8yere enn inntektene. <\/span><\/p>\n

Selskapet har allerede hentet inn over $11 milliarder gjennom syv finansieringsrunder og er for tiden verdsatt til $80 milliarder.\u00a0<\/span><\/p>\n

Til tross for at ChatGPT er et kjent navn med millioner av brukere over hele verden, kan OpenAI vise seg \u00e5 bli en skikkelig pengesekk for investorer hvis ingenting endres.\u00a0<\/span><\/p>\n

Microsoft, OpenAIs desidert st\u00f8rste st\u00f8ttespiller, har allerede investert milliarder i selskapet de siste \u00e5rene.\u00a0<\/span><\/p>\n

Det ryktes at den siste kontantinnspr\u00f8ytningen p\u00e5 $10 milliarder tidlig i 2023 skulle inkludere en andel p\u00e5 75% av OpenAIs overskudd og en eierandel p\u00e5 49% i selskapet, samt integrering av ChatGPT i Bing og andre Microsoft-systemer.\u00a0<\/span><\/p>\n

Til gjengjeld f\u00e5r OpenAI tilgang til Azures skyservere til en betydelig redusert pris.<\/span><\/p>\n

Men i en verden av generativ AI er det aldri nok chips, maskinvare i skyen eller banebrytende, verdensendrende ideer som krever milliarder av kroner for \u00e5 komme i gang.\u00a0<\/span><\/p>\n

OpenAI satser stort p\u00e5 \u00e5 bli f\u00f8rst ute med kunstig generell intelligens (AGI), et ambisi\u00f8st og utrolig kostbart prosjekt. <\/span><\/p>\n

Konsernsjef Sam Altman har allerede antydet at han ikke kommer til \u00e5 gi seg f\u00f8r dette er oppn\u00e5dd.\u00a0<\/span><\/p>\n

Han er involvert i <\/span>utvikling av kjernefusjon<\/span><\/a> og diskuterte opprettelsen av en <\/span>internasjonalt chip-prosjekt<\/span><\/a> med st\u00f8tte fra De forente arabiske emirater og amerikanske myndigheter verdt billioner.\u00a0<\/span><\/p>\n

Konkurransen er brennhet<\/h2>\n

Konkurransen p\u00e5 omr\u00e5det generativ AI intensiveres ogs\u00e5, med store akt\u00f8rer som Google, Amazon, Meta osv. som alle kjemper om \u00e5 f\u00e5 en del av kaken.\u00a0<\/span><\/p>\n

Selv om ChatGPT fortsatt er den mest anerkjente AI-chatboten, tar den en stadig mindre del av de totale inntektene som st\u00e5r p\u00e5 spill.<\/span><\/p>\n

I tillegg bygger \u00e5pen kildekode-divisjonen, som i stor grad ledes av Mistral og Meta, stadig kraftigere modeller som er billigere og mer kontrollerbare enn lukkede laboratorieprosjekter fra OpenAI, Google og andre.\u00a0<\/span><\/p>\n

Som Barbara H. Wixom, en av hovedforskerne ved MIT Center for Information Systems Research, <\/span>uttrykker det p\u00e5 en treffende m\u00e5te<\/span><\/a>\"Som alle andre verkt\u00f8y skaper AI ingen verdi med mindre det brukes p\u00e5 riktig m\u00e5te. AI er avansert datavitenskap, og du m\u00e5 ha de rette ferdighetene for \u00e5 kunne jobbe med og h\u00e5ndtere den p\u00e5 riktig m\u00e5te.\"\u00a0<\/span><\/p>\n

Og her ligger det et kritisk poeng. Hvis en organisasjon har penger og teknisk kunnskap til \u00e5 utnytte generativ AI, trenger den ikke n\u00f8dvendigvis \u00e5 samarbeide med selskaper med lukket kildekode som OpenAI. I stedet kan de skape sin egen<\/span> egne, mer skreddersydde og suverene l\u00f8sninger. <\/span><\/p>\n

Salesforce beviste nylig dette ved \u00e5 lansere en banebrytende <\/span>kompakt modell for API-kall<\/span><\/a> som knuste grensemodeller fra OpenAI, Anthropic osv.\u00a0<\/span><\/p>\n

OpenAI og andre pr\u00f8ver \u00e5 presse grensene med bedriftsl\u00f8sninger som ChatGPT Enterprise<\/span>Men det er t\u00f8ft, for generativ AI er b\u00e5de kostbart og tvilsomt verdt investeringen akkurat n\u00e5.\u00a0<\/span><\/p>\n

Adam Selipsky, administrerende direkt\u00f8r i Amazon Web Services (AWS), <\/span>sa han selv i 2023<\/span><\/a>\"Mange av kundene jeg har snakket med, er misforn\u00f8yde med kostnadene de ser for \u00e5 kj\u00f8re noen av disse modellene.\"<\/span><\/p>\n

AI-selskapene reagerer ved \u00e5 redusere kostnadene for modellene sine og lansere lettere versjoner som GPT-4o mini<\/a>men ogs\u00e5 det er en g\u00e5te. N\u00e5r skal selskapene ta steget inn i AI n\u00e5r alternativene roterer hele tiden?<\/p>\n

2023 ga f\u00e5 svar p\u00e5 hvordan man kan tjene penger p\u00e5 AI<\/h2>\n

\u00c5r 2023 har fungert som et testomr\u00e5de for ulike tiln\u00e6rminger til inntektsgenerering fra kunstig intelligens, men ingen av dem er noen mirakelkur mot bransjens \u00f8kende kostnader.\u00a0<\/span><\/p>\n

En av de st\u00f8rste utfordringene med AI-inntektsgenerering er at den ikke tilbyr samme \u00f8konomi som konvensjonell programvare.\u00a0<\/span><\/p>\n

Hver brukerinteraksjon med en modell som ChatGPT krever spesifikke beregninger, noe som forbruker energi og skaper h\u00f8yere l\u00f8pende kostnader som skaleres etter hvert som flere brukere blir med i systemet.\u00a0<\/span><\/p>\n

Dette utgj\u00f8r en stor utfordring for selskaper som tilbyr AI-tjenester til faste priser, ettersom utgiftene raskt kan overstige inntektene.<\/span><\/p>\n

Hvis abonnementskostnadene \u00f8kes for mye, vil folk rett og slett trekke seg ut. \u00d8konomisk\u00a0Unders\u00f8kelser tyder p\u00e5<\/a> at abonnementer er noe av det f\u00f8rste som kuttes n\u00e5r folk \u00f8nsker \u00e5 redusere utgiftene sine.<\/p>\n

Microsofts nylige samarbeid med OpenAI om GitHub Copilot, en AI-kodingsassistent, var et godt eksempel p\u00e5 hvordan abonnementer kan sl\u00e5 feil.\u00a0<\/span><\/p>\n

Microsoft krevde et m\u00e5nedlig abonnement p\u00e5 $10 for verkt\u00f8yet, men rapporterte et gjennomsnittlig m\u00e5nedlig tap p\u00e5 mer enn $20 per bruker. Noen storbrukere p\u00e5f\u00f8rte tap p\u00e5 opptil $80 per m\u00e5ned.<\/span><\/p>\n

Det er sannsynligvis en lignende situasjon med andre generative AI-verkt\u00f8y. Mange tilfeldige brukere abonnerer p\u00e5 bare ett av de mange tilgjengelige verkt\u00f8yene p\u00e5 m\u00e5nedlig basis, og kan lett si opp abonnementet og bytte til et annet verkt\u00f8y. P\u00e5 den annen side finnes det ogs\u00e5 ul\u00f8nnsomme storbrukere som bruker ressurser uten \u00e5 bidra til fortjenesten.<\/p>\n

Noen mener at OpenAI har fors\u00f8kt seg p\u00e5 skitne triks for \u00e5 holde pengestr\u00f8mmen i gang. For eksempel har <\/span>GPT-4o demo<\/span><\/a>, perfekt timet med Google IO, avsl\u00f8rte talesyntesefunksjoner i sanntid som s\u00e5 ut til \u00e5 bryte ny mark og overstr\u00e5le Googles kunngj\u00f8ringer.<\/span><\/p>\n

Vi venter fortsatt p\u00e5 at disse mye omtalte stemmefunksjonene skal lanseres. OpenAI har enn\u00e5 ikke gitt dem ut til noen, med henvisning til sikkerhetsproblemer.<\/span><\/p>\n

\"Vi forbedrer modellens evne til \u00e5 oppdage og avvise bestemt innhold\", uttalte OpenAI om forsinkelsen.\u00a0<\/span><\/p>\n

\"Vi jobber ogs\u00e5 med \u00e5 forbedre brukeropplevelsen og forberede infrastrukturen v\u00e5r p\u00e5 \u00e5 skalere til millioner av brukere samtidig som vi opprettholder sanntidsrespons. Som en del av v\u00e5r iterative distribusjonsstrategi starter vi alfaversjonen med en liten gruppe brukere for \u00e5 innhente tilbakemeldinger, og utvider basert p\u00e5 det vi l\u00e6rer.\"<\/span><\/p>\n

Premium-registreringer \u00f8kte fordi folk gledet seg til \u00e5 ta i bruk de nye funksjonene. Var OpenAI ute etter en kortsiktig inntekts\u00f8kning drevet av funksjoner som aldri var klare?<\/span><\/p>\n

Energikostnadene er en annen hindring<\/h2>\n

Det er enda en hake ved generativ AIs inntektsgenerering - str\u00f8m- og vannforbruk.\u00a0<\/span><\/p>\n

Innen 2027 kan AI-industriens energiforbruk tilsvare <\/span>som en liten nasjon<\/span><\/a>. <\/span>Den siste tidens \u00f8kning i vannforbruket fra Microsoft og Google skyldes i stor grad intensiv AI-arbeidsbelastning.<\/span><\/p>\n

Google nylig offentliggjort<\/a> at AI var i ferd med \u00e5 bringe selskapets b\u00e6rekraftstrategier ut av kurs. Selskapets CO2-utslipp har \u00f8kt med 48% siden 2019, og ledelsen har s\u00e5 godt som innr\u00f8mmet at AI-arbeidsbelastningen har skylden.\u00a0<\/span><\/p>\n

AI-indusert vannmangel rammet nylig Taiwan, som begynte \u00e5 omdirigere vann fra bruk av AI i landbruket<\/a> midt i en t\u00f8rkeperiode i et fors\u00f8k p\u00e5 \u00e5 holde produksjonen i gang. Vannmangel rammer ogs\u00e5 deler av USA i 2023, s\u00e5 det er reelle milj\u00f8konsekvenser \u00e5 ta hensyn til. <\/span><\/p>\n

I en tale p\u00e5 World Economic Forum, <\/span>Altman<\/span><\/span><\/span><\/span> sa<\/span><\/a>\"Vi trenger mye mer energi i verden enn vi trodde vi trengte f\u00f8r. Vi er fortsatt ikke klar over energibehovet som denne teknologien medf\u00f8rer.\"<\/span><\/p>\n

Alt dette koster, b\u00e5de p\u00e5 selskapsniv\u00e5 for Microsoft, Google osv. og for lokale og nasjonale \u00f8konomier.<\/p>\n

De kommende \u00e5rene vil v\u00e6re avgj\u00f8rende for utviklingen av generativ KI, b\u00e5de n\u00e5r det gjelder avkastning eller investering, b\u00e6rekraft og spenningen mellom de to.\u00a0<\/span><\/p>\n

Som Barbara H. Wixom fra MIT advarer: \"Du m\u00e5 finne en m\u00e5te \u00e5 betale for dette p\u00e5. Ellers kan du ikke opprettholde investeringene, og da m\u00e5 du trekke ut st\u00f8pselet.\"<\/span><\/p>\n

Vil generativ AI noen gang stoppe opp? Du m\u00e5 tro at det er for stort til \u00e5 mislykkes. Men det ser ut til \u00e5 sitte fast i skj\u00e6rsilden for inntektsgenerering akkurat n\u00e5, og noe fra et eller annet sted m\u00e5 gi et nytt st\u00f8t av fremgang.\u00a0<\/span><\/p>\n

Det skal kanskje ikke s\u00e5 mye til f\u00f8r generativ AI n\u00e5r et n\u00f8dvendig h\u00f8ydepunkt der fremskritt kommer billig og naturlig.\u00a0<\/span><\/p>\n

Fusjonskraft, analog AI-maskinvare med lavt str\u00f8mforbruk, lettvektsarkitekturer - alt dette er p\u00e5 trappene.<\/span>Vi kan bare vente og se n\u00e5r alt faller p\u00e5 plass.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Til tross for sin enorme popularitet, brenner OpenAI angivelig gjennom kontanter i en uholdbar hastighet og kan m\u00f8te et svimlende tap p\u00e5 $5 milliarder innen utgangen av 2024. Det er if\u00f8lge en sjokkrapport fra The Information, som siterer uutgitte interne regnskaper og bransjetall som avsl\u00f8rer hvordan OpenAI allerede har brukt omtrent $7 milliarder kroner p\u00e5 treningsmodeller og s\u00e5 mye som $1.5 milliarder kroner p\u00e5 bemanning. Dylan Patel fra SemiAnalysis hadde tidligere fortalt The Information at OpenAI angivelig ga ut rundt $700,000 2022 XNUMX XNUMX om dagen for \u00e5 kj\u00f8re modellene sine i XNUMX, og bokf\u00f8rte tap p\u00e5 nesten $500 millioner det \u00e5ret alene. Til tross for \u00e5 generere<\/p>","protected":false},"author":2,"featured_media":13620,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[87],"tags":[522,121,93],"class_list":["post-13619","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-opinions","tag-energy","tag-microsoft","tag-openai"],"yoast_head":"\nThe AI monetization conundrum rages on as OpenAI's costs rocket | 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\/07\/the-ai-monetization-conundrum-rages-on-as-openais-costs-rocket\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The AI monetization conundrum rages on as OpenAI's costs rocket | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Despite its immense popularity, OpenAI is allegedly burning through cash at an unsustainable rate and could face a staggering $5 billion loss by the end of 2024. That\u2019s according to a shock report from The Information, which cites unreleased internal financial statements and industry figures exposing how OpenAI has already spent roughly $7 billion on training models and as much as $1.5 billion on staffing.\u00a0 Dylan Patel from SemiAnalysis had earlier told The Information that OpenAI allegedly forked out some $700,000 a day to run its models in 2022, posting losses of almost $500 million that year alone.\u00a0 Despite generating\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/nb\/2024\/07\/the-ai-monetization-conundrum-rages-on-as-openais-costs-rocket\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-07-29T21:28:45+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-07-31T08:08:36+00:00\" \/>\n<meta property=\"og:image\" 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