{"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\/da\/2024\/07\/the-ai-monetization-conundrum-rages-on-as-openais-costs-rocket\/","title":{"rendered":"AI-indt\u00e6gtssp\u00f8rgsm\u00e5let raser videre, mens OpenAI's omkostninger eksploderer"},"content":{"rendered":"

P\u00e5 trods af sin enorme popularitet br\u00e6nder OpenAI angiveligt penge af i et uholdbart tempo og kan st\u00e5 over for et svimlende tab p\u00e5 $5 milliarder ved udgangen af 2024.<\/b><\/p>\n

Det fremg\u00e5r af en chokrapport fra <\/span>Informationen<\/span><\/a>som citerer uudgivne interne regnskaber og branchetal, der afsl\u00f8rer, hvordan OpenAI allerede har brugt ca. $7 milliarder p\u00e5 at tr\u00e6ne modeller og s\u00e5 meget som $1,5 milliarder p\u00e5 personale.\u00a0<\/span><\/p>\n

Dylan Patel fra SemiAnalysis havde tidligere fortalt The Information, at OpenAI angiveligt havde udleveret nogle <\/span>$700.000 om dagen<\/span><\/a> til at k\u00f8re sine modeller i 2022 og havde et tab p\u00e5 n\u00e6sten $500 millioner alene det \u00e5r.\u00a0<\/span><\/p>\n

P\u00e5 trods af at OpenAI genererer betydelige indt\u00e6gter, der ansl\u00e5s til $3,5 milliarder til $4,5 milliarder \u00e5rligt, er udgifterne langt st\u00f8rre end indt\u00e6gterne. <\/span><\/p>\n

Virksomheden har allerede rejst over $11 milliarder gennem syv finansieringsrunder og er i \u00f8jeblikket vurderet til $80 milliarder.\u00a0<\/span><\/p>\n

Men p\u00e5 trods af at ChatGPT er et kendt navn med millioner af globale brugere, kan OpenAI vise sig at v\u00e6re en rigtig pengegrube for investorer, hvis intet \u00e6ndrer sig.\u00a0<\/span><\/p>\n

Microsoft, som er OpenAI's absolut st\u00f8rste bidragyder, har allerede skudt milliarder i virksomheden i de seneste \u00e5r.\u00a0<\/span><\/p>\n

Den seneste indspr\u00f8jtning af penge, $10 milliarder i begyndelsen af 2023, skulle efter sigende omfatte en andel p\u00e5 75% af OpenAI's overskud og en andel p\u00e5 49% i virksomheden samt integration af ChatGPT i Bing og andre Microsoft-systemer.\u00a0<\/span><\/p>\n

Til geng\u00e6ld f\u00e5r OpenAI adgang til Azures cloud-servere til en v\u00e6sentligt reduceret pris.<\/span><\/p>\n

Men i den generative AI-verden er der aldrig nok chips, cloud-hardware eller banebrydende, verdensforandrende ideer, som kr\u00e6ver milliarder for at komme i gang.\u00a0<\/span><\/p>\n

OpenAI satser st\u00e6rkt p\u00e5 at blive de f\u00f8rste til at opn\u00e5 kunstig generel intelligens (AGI), et ambiti\u00f8st og utroligt dyrt projekt. <\/span><\/p>\n

CEO Sam Altman har allerede antydet, at han simpelthen ikke vil stoppe, f\u00f8r dette er opn\u00e5et.\u00a0<\/span><\/p>\n

Han er involveret i <\/span>udvikling af kernefusion<\/span><\/a> og diskuterede at skabe en <\/span>internationalt chip-projekt<\/span><\/a> med st\u00f8tte fra De Forenede Arabiske Emirater og den amerikanske regering til en v\u00e6rdi af billioner.\u00a0<\/span><\/p>\n

Konkurrencen er r\u00f8dgl\u00f8dende<\/h2>\n

Konkurrencen inden for generativ AI intensiveres ogs\u00e5, og store spillere som Google, Amazon, Meta osv. k\u00e6mper alle om at f\u00e5 en bid af kagen.\u00a0<\/span><\/p>\n

Selvom ChatGPT stadig er den mest anerkendte AI-chatbot, f\u00e5r den en stadig mindre del af de samlede indt\u00e6gter, der er p\u00e5 spil.<\/span><\/p>\n

Desuden bygger open source-afdelingen, der i h\u00f8j grad ledes af Mistral og Meta, stadig mere kraftfulde modeller, der er billigere og mere kontrollerbare end lukkede laboratorieprojekter fra OpenAI, Google og andre.\u00a0<\/span><\/p>\n

Som Barbara H. Wixom, en ledende forsker ved MIT Center for Information Systems Research, <\/span>udtrykker det rammende<\/span><\/a>\"Som ethvert andet v\u00e6rkt\u00f8j skaber AI ingen v\u00e6rdi, medmindre det bruges korrekt. AI er avanceret datavidenskab, og du skal have de rette kompetencer for at kunne arbejde med det og h\u00e5ndtere det korrekt.\"\u00a0<\/span><\/p>\n

Og heri ligger et kritisk punkt. Hvis en organisation har penge og teknisk knowhow til at udnytte generativ AI, beh\u00f8ver den ikke n\u00f8dvendigvis at samarbejde med closed source-virksomheder som OpenAI. I stedet kan den skabe sin egen<\/span> egne mere skr\u00e6ddersyede, suver\u00e6ne l\u00f8sninger. <\/span><\/p>\n

Det beviste Salesforce for nylig ved at frigive en banebrydende <\/span>Kompakt model for API-kald<\/span><\/a> der smadrede gr\u00e6nsemodeller fra OpenAI, Anthropic osv.\u00a0<\/span><\/p>\n

OpenAI og andre fors\u00f8ger at skubbe til gr\u00e6nserne med virksomhedsl\u00f8sninger som ChatGPT Enterprise<\/span>Men det er sv\u00e6rt, for generativ AI er b\u00e5de dyrt og tvivlsomt v\u00e6rd at investere i lige nu.\u00a0<\/span><\/p>\n

Adam Selipsky, administrerende direkt\u00f8r for Amazon Web Services (AWS), <\/span>sagde han selv i 2023<\/span><\/a>\"Mange af de kunder, jeg har talt med, er utilfredse med de omkostninger, de ser for at k\u00f8re nogle af disse modeller.\"<\/span><\/p>\n

AI-virksomheder reagerer ved at reducere omkostningerne ved deres modeller og udgive lettere versioner som f.eks. GPT-4o mini<\/a>men det er ogs\u00e5 en g\u00e5de. Hvorn\u00e5r tager virksomhederne springet til AI, n\u00e5r mulighederne hele tiden skifter?<\/p>\n

2023 gav f\u00e5 svar p\u00e5 AI-indt\u00e6gtsgenerering<\/h2>\n

\u00c5r 2023 har fungeret som et testomr\u00e5de for forskellige tilgange til AI-indt\u00e6gtsgenerering, men ingen af dem er en mirakelkur mod branchens stigende omkostninger.\u00a0<\/span><\/p>\n

En af de st\u00f8rste udfordringer ved AI-indt\u00e6gtsgenerering er, at den ikke tilbyder den samme \u00f8konomi som konventionel software.\u00a0<\/span><\/p>\n

Hver brugerinteraktion med en model som ChatGPT kr\u00e6ver specifikke beregninger, som forbruger energi og skaber h\u00f8jere l\u00f8bende omkostninger, der skaleres, n\u00e5r flere brugere tilslutter sig systemet.\u00a0<\/span><\/p>\n

Det er en stor udfordring for virksomheder, der tilbyder AI-tjenester til faste priser, da udgifterne hurtigt kan overstige indt\u00e6gterne.<\/span><\/p>\n

Hvis abonnementsomkostningerne stiger for meget, vil folk simpelthen springe fra. \u00d8konomisk\u00a0Unders\u00f8gelser tyder p\u00e5<\/a> at abonnementer er noget af det f\u00f8rste, der bliver sk\u00e5ret v\u00e6k, n\u00e5r folk vil sk\u00e6re ned p\u00e5 deres forbrug.<\/p>\n

Microsofts nylige samarbejde med OpenAI om GitHub Copilot, en AI-kodningsassistent, var et godt eksempel p\u00e5, hvordan abonnementer kan give bagslag.\u00a0<\/span><\/p>\n

Microsoft opkr\u00e6vede et m\u00e5nedligt abonnement p\u00e5 $10 for v\u00e6rkt\u00f8jet, men rapporterede et gennemsnitligt m\u00e5nedligt tab p\u00e5 mere end $20 pr. bruger. Nogle storbrugere p\u00e5f\u00f8rte tab p\u00e5 op til $80 pr. m\u00e5ned.<\/span><\/p>\n

Det er sandsynligvis en lignende situation med andre generative AI-v\u00e6rkt\u00f8jer. Mange lejlighedsvise brugere abonnerer kun p\u00e5 et af de mange tilg\u00e6ngelige v\u00e6rkt\u00f8jer p\u00e5 m\u00e5nedsbasis og kan nemt opsige abonnementet og skifte til et andet v\u00e6rkt\u00f8j. P\u00e5 den anden side er der ikke-profitable power-brugere, som forbruger ressourcer uden at bidrage til overskuddet.<\/p>\n

Nogle mener, at OpenAI har fors\u00f8gt sig med beskidte tricks for at f\u00e5 pengene til at flyde. For eksempel har <\/span>GPT-4o demo<\/span><\/a>som passede perfekt med Google IO, afsl\u00f8rede funktioner til talesyntese i realtid, som s\u00e5 ud til at v\u00e6re banebrydende og overstr\u00e5le Googles meddelelser.<\/span><\/p>\n

Vi venter stadig p\u00e5, at disse meget omtalte stemmefunktioner skal komme. OpenAI har endnu ikke frigivet dem til nogen med henvisning til sikkerhedsproblemer.<\/span><\/p>\n

\"Vi forbedrer modellens evne til at opdage og afvise bestemt indhold\", sagde OpenAI om forsinkelsen.\u00a0<\/span><\/p>\n

\"Vi arbejder ogs\u00e5 p\u00e5 at forbedre brugeroplevelsen og forberede vores infrastruktur til at kunne skalere til millioner, samtidig med at vi opretholder svar i realtid. Som en del af vores iterative implementeringsstrategi starter vi alfaen med en lille gruppe brugere for at indsamle feedback og udvide baseret p\u00e5, hvad vi l\u00e6rer.\"<\/span><\/p>\n

Premium-tilmeldinger steg, fordi folk gl\u00e6dede sig til at bruge de nye funktioner. S\u00f8gte OpenAI et kortsigtet indt\u00e6gtsboost drevet af funktioner, der aldrig var klar?<\/span><\/p>\n

Energiomkostninger er en anden forhindring<\/h2>\n

Der er endnu en hage ved generativ AI's indt\u00e6gtsskabende mission - str\u00f8m- og vandforbrug.\u00a0<\/span><\/p>\n

I 2027 kan AI-industriens energiforbrug svare til <\/span>som en lille nation<\/span><\/a>. <\/span>De seneste stigninger i vandforbruget fra Microsoft og Google tilskrives i h\u00f8j grad intensive AI-arbejdsbelastninger.<\/span><\/p>\n

Google for nylig afsl\u00f8ret<\/a> at AI var ved at bringe virksomhedens b\u00e6redygtighedsstrategier ud af kurs. Virksomhedens CO2-udledning er steget med 48% siden 2019, og ledelsen har n\u00e6sten indr\u00f8mmet, at AI-arbejdsbelastningen er skyld i det.\u00a0<\/span><\/p>\n

AI-induceret vandmangel ramte for nylig Taiwan, som begyndte at omdirigere vand fra landbrugsanvendelser til AI<\/a> midt i en t\u00f8rke i et fors\u00f8g p\u00e5 at holde produktionen online. Vandmangel rammer ogs\u00e5 dele af USA i 2023, s\u00e5 der er reelle milj\u00f8p\u00e5virkninger at forholde sig til. <\/span><\/p>\n

Taler ved World Economic Forum, <\/span>Altman<\/span><\/span><\/span><\/span> sagde<\/span><\/a>\"Vi har brug for langt mere energi i verden, end vi troede, vi havde brug for f\u00f8r. Vi er stadig ikke klar over, hvor stort et energibehov denne teknologi har.\"<\/span><\/p>\n

Alt dette har en pris, b\u00e5de p\u00e5 virksomhedsniveau for Microsoft, Google osv. og for de lokale og nationale \u00f8konomier.<\/p>\n

De kommende \u00e5r vil v\u00e6re afg\u00f8rende for den generative AI's udvikling, b\u00e5de hvad ang\u00e5r afkast eller investering, b\u00e6redygtighed og sp\u00e6ndingen mellem de to.\u00a0<\/span><\/p>\n

Som Barbara H. Wixom fra MIT advarer: \"Man er n\u00f8dt til at finde en m\u00e5de at betale for det p\u00e5. Ellers kan man ikke opretholde investeringerne, og s\u00e5 er man n\u00f8dt til at tr\u00e6kke stikket ud.\"<\/span><\/p>\n

Vil generativ AI nogensinde g\u00e5 i st\u00e5? Man er n\u00f8dt til at tro, at det er for stort til at fejle. Men det ser ud til at sidde fast i sk\u00e6rsilden for indtjening lige nu, og et eller andet sted m\u00e5 der komme et nyt skub fremad.\u00a0<\/span><\/p>\n

Der skal m\u00e5ske ikke s\u00e5 meget til for at skubbe generativ AI mod et n\u00f8dvendigt br\u00e6ndpunkt, hvor fremskridt kommer billigt og naturligt.\u00a0<\/span><\/p>\n

Fusionskraft, analog AI-hardware med lavt str\u00f8mforbrug, letv\u00e6gtsarkitekturer - det hele er i st\u00f8beskeen - w<\/span>Vi kan kun vente og se, hvorn\u00e5r det hele falder p\u00e5 plads.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

P\u00e5 trods af sin enorme popularitet br\u00e6nder OpenAI angiveligt penge af i et uholdbart tempo og kan st\u00e5 over for et svimlende tab p\u00e5 $5 milliarder ved udgangen af 2024. Det fremg\u00e5r af en chokrapport fra The Information, som citerer ikke-offentliggjorte interne regnskaber og branchetal, der afsl\u00f8rer, hvordan OpenAI allerede har brugt omkring $7 milliarder p\u00e5 at tr\u00e6ne modeller og hele $1,5 milliarder p\u00e5 at ans\u00e6tte personale. Dylan Patel fra SemiAnalysis havde tidligere fortalt The Information, at OpenAI angiveligt gav omkring $700.000 om dagen for at k\u00f8re sine modeller i 2022 og havde et tab p\u00e5 n\u00e6sten $500 millioner det \u00e5r alene. P\u00e5 trods af at 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\/da\/2024\/07\/the-ai-monetization-conundrum-rages-on-as-openais-costs-rocket\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\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\/da\/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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