{"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\/pt\/2024\/07\/the-ai-monetization-conundrum-rages-on-as-openais-costs-rocket\/","title":{"rendered":"O enigma da monetiza\u00e7\u00e3o da IA continua \u00e0 medida que os custos da OpenAI sobem em flecha"},"content":{"rendered":"

Apesar da sua imensa popularidade, a OpenAI est\u00e1 alegadamente a gastar dinheiro a um ritmo insustent\u00e1vel e poder\u00e1 enfrentar um preju\u00edzo impressionante de $5 mil milh\u00f5es at\u00e9 ao final de 2024.<\/b><\/p>\n

Isto de acordo com um relat\u00f3rio chocante da <\/span>A informa\u00e7\u00e3o<\/span><\/a>que cita declara\u00e7\u00f5es financeiras internas n\u00e3o divulgadas e n\u00fameros do sector que revelam como a OpenAI j\u00e1 gastou cerca de $7 mil milh\u00f5es em modelos de forma\u00e7\u00e3o e at\u00e9 $1,5 mil milh\u00f5es em pessoal.\u00a0<\/span><\/p>\n

Dylan Patel, da SemiAnalysis, tinha dito anteriormente ao The Information que a OpenAI alegadamente tinha bifurcado alguns <\/span>$700.000 por dia<\/span><\/a> para executar os seus modelos em 2022, registando perdas de quase $500 milh\u00f5es s\u00f3 nesse ano.\u00a0<\/span><\/p>\n

Apesar de gerar receitas substanciais, estimadas em $3,5 mil milh\u00f5es a $4,5 mil milh\u00f5es por ano, as despesas da OpenAI ultrapassam largamente as suas receitas. <\/span><\/p>\n

A empresa j\u00e1 angariou mais de $11 mil milh\u00f5es atrav\u00e9s de sete rondas de financiamento e est\u00e1 atualmente avaliada em $80 mil milh\u00f5es.\u00a0<\/span><\/p>\n

No entanto, apesar de o ChatGPT ser um nome conhecido com milh\u00f5es de utilizadores em todo o mundo, a OpenAI pode revelar-se um verdadeiro po\u00e7o de dinheiro para os investidores se nada mudar.\u00a0<\/span><\/p>\n

A Microsoft, de longe o maior patrocinador da OpenAI, j\u00e1 investiu milhares de milh\u00f5es na empresa nos \u00faltimos anos.\u00a0<\/span><\/p>\n

Segundo os rumores, a sua mais recente inje\u00e7\u00e3o de dinheiro, $10 mil milh\u00f5es no in\u00edcio de 2023, inclu\u00eda uma fatia de 75% dos lucros da OpenAI e uma participa\u00e7\u00e3o de 49% na empresa, bem como a integra\u00e7\u00e3o do ChatGPT no Bing e noutros sistemas da Microsoft.\u00a0<\/span><\/p>\n

Em troca, a OpenAI recebe acesso aos servidores de nuvem do Azure a uma taxa substancialmente reduzida.<\/span><\/p>\n

Mas no mundo da IA generativa, nunca h\u00e1 chips suficientes, hardware de nuvem ou ideias inovadoras que mudam o mundo e que precisam de milhares de milh\u00f5es para arrancar.\u00a0<\/span><\/p>\n

A OpenAI est\u00e1 fortemente empenhada em ser a primeira a alcan\u00e7ar a intelig\u00eancia artificial geral (AGI), um projeto ambicioso e incrivelmente dispendioso. <\/span><\/p>\n

O diretor executivo Sam Altman j\u00e1 deu a entender que n\u00e3o vai parar enquanto n\u00e3o o conseguir.\u00a0<\/span><\/p>\n

Ele est\u00e1 envolvido em <\/span>desenvolvimento da fus\u00e3o nuclear<\/span><\/a> e discutiu a cria\u00e7\u00e3o de um <\/span>projeto chip internacional<\/span><\/a> com o apoio dos Emirados \u00c1rabes Unidos e do governo dos EUA no valor de trili\u00f5es.\u00a0<\/span><\/p>\n

A concorr\u00eancia est\u00e1 ao rubro<\/h2>\n

A concorr\u00eancia no espa\u00e7o da IA generativa tamb\u00e9m est\u00e1 a intensificar-se, com grandes empresas como a Google, a Amazon, a Meta, etc., a disputarem uma fatia do bolo.\u00a0<\/span><\/p>\n

Embora o ChatGPT continue a ser o chatbot de IA mais reconhecido, est\u00e1 a captar uma parte cada vez mais pequena do total de receitas dispon\u00edveis.<\/span><\/p>\n

Al\u00e9m disso, a divis\u00e3o de c\u00f3digo aberto, liderada em grande parte pela Mistral e pela Meta, est\u00e1 a criar modelos cada vez mais potentes, mais baratos e mais control\u00e1veis do que os projectos de laborat\u00f3rios fechados da OpenAI, Google e outros.\u00a0<\/span><\/p>\n

Como Barbara H. Wixom, investigadora principal do Centro de Investiga\u00e7\u00e3o de Sistemas de Informa\u00e7\u00e3o do MIT, <\/span>diz muito bem<\/span><\/a>Como qualquer ferramenta, a IA n\u00e3o cria valor se n\u00e3o for utilizada corretamente. A IA \u00e9 ci\u00eancia de dados avan\u00e7ada e \u00e9 necess\u00e1rio ter as capacidades certas para trabalhar com ela e geri-la corretamente.\"\u00a0<\/span><\/p>\n

E \u00e9 a\u00ed que reside um ponto cr\u00edtico. Se uma organiza\u00e7\u00e3o tiver dinheiro e conhecimentos t\u00e9cnicos para aproveitar a IA generativa, n\u00e3o precisa necessariamente de fazer parcerias com empresas de c\u00f3digo fechado como a OpenAI. Em vez disso, pode criar a sua pr\u00f3pria<\/span> ter solu\u00e7\u00f5es mais personalizadas e soberanas. <\/span><\/p>\n

A Salesforce provou-o recentemente, lan\u00e7ando uma solu\u00e7\u00e3o de ponta <\/span>modelo compacto para chamadas API<\/span><\/a> que esmagou os modelos de fronteira da OpenAI, da Anthropic, etc.\u00a0<\/span><\/p>\n

A OpenAI e outras empresas est\u00e3o a tentar ir mais longe com solu\u00e7\u00f5es empresariais como o ChatGPT Enterprise<\/span>mas \u00e9 dif\u00edcil, uma vez que a IA generativa \u00e9 simultaneamente dispendiosa e de valor duvidoso para o investimento neste momento.\u00a0<\/span><\/p>\n

Adam Selipsky, Diretor Executivo da Amazon Web Services (AWS), <\/span>disse ele pr\u00f3prio em 2023<\/span><\/a>\"Muitos dos clientes com quem falei est\u00e3o descontentes com os custos que est\u00e3o a ter com o funcionamento de alguns destes modelos\".<\/span><\/p>\n

As empresas de IA est\u00e3o a reagir reduzindo os custos dos seus modelos e lan\u00e7ando vers\u00f5es mais leves como GPT-4o mini<\/a>mas tamb\u00e9m isso coloca um dilema. Quando \u00e9 que as empresas se lan\u00e7am na IA, quando as op\u00e7\u00f5es est\u00e3o sempre a mudar?<\/p>\n

2023 deu poucas respostas para a monetiza\u00e7\u00e3o da IA<\/h2>\n

O ano de 2023 serviu de campo de ensaio para v\u00e1rias abordagens de monetiza\u00e7\u00e3o da IA, mas nenhuma delas \u00e9 uma solu\u00e7\u00e3o milagrosa para os custos crescentes do sector.\u00a0<\/span><\/p>\n

Um dos maiores desafios da monetiza\u00e7\u00e3o da IA \u00e9 o facto de n\u00e3o oferecer a mesma economia que o software convencional.\u00a0<\/span><\/p>\n

Cada intera\u00e7\u00e3o do utilizador com um modelo como o ChatGPT requer c\u00e1lculos espec\u00edficos, que consomem energia e geram custos cont\u00ednuos mais elevados, que aumentam \u00e0 medida que mais utilizadores aderem ao sistema.\u00a0<\/span><\/p>\n

Isto representa um enorme desafio para as empresas que oferecem servi\u00e7os de IA a taxas fixas, uma vez que as despesas podem rapidamente ultrapassar as receitas.<\/span><\/p>\n

Se os custos de subscri\u00e7\u00e3o forem demasiado elevados, as pessoas simplesmente abandonar\u00e3o o projeto. Econ\u00f3mico\u00a0os inqu\u00e9ritos sugerem<\/a> que as assinaturas s\u00e3o uma das primeiras coisas a serem eliminadas quando as pessoas querem reduzir as suas despesas.<\/p>\n

A recente colabora\u00e7\u00e3o da Microsoft com a OpenAI no GitHub Copilot, um assistente de codifica\u00e7\u00e3o de IA, serviu como um excelente exemplo de como as subscri\u00e7\u00f5es podem sair pela culatra.\u00a0<\/span><\/p>\n

A Microsoft cobrou uma subscri\u00e7\u00e3o mensal de $10 pela ferramenta, mas registou uma perda m\u00e9dia mensal de mais de $20 por utilizador. Alguns utilizadores avan\u00e7ados infligiram perdas de at\u00e9 $80 por m\u00eas.<\/span><\/p>\n

\u00c9 prov\u00e1vel que se verifique uma situa\u00e7\u00e3o semelhante com outras ferramentas de IA generativa. Muitos utilizadores casuais subscrevem mensalmente apenas uma das muitas ferramentas dispon\u00edveis e podem facilmente cancelar e mudar para uma ferramenta diferente. Por outro lado, h\u00e1 utilizadores avan\u00e7ados n\u00e3o lucrativos que consomem recursos sem contribuir para os lucros.<\/p>\n

Alguns acreditam que a OpenAI tem tentado truques sujos para manter o dinheiro a circular. Por exemplo, a <\/span>Demonstra\u00e7\u00e3o GPT-4o<\/span><\/a>A confer\u00eancia de imprensa da Google, que coincidiu na perfei\u00e7\u00e3o com o Google IO, revelou funcionalidades de s\u00edntese de voz em tempo real que pareciam abrir novos caminhos e superar os an\u00fancios da Google.<\/span><\/p>\n

Ainda estamos \u00e0 espera que estas t\u00e3o badaladas funcionalidades de voz sejam lan\u00e7adas. A OpenAI ainda n\u00e3o as disponibilizou a ningu\u00e9m, alegando quest\u00f5es de seguran\u00e7a.<\/span><\/p>\n

\"Estamos a melhorar a capacidade do modelo para detetar e recusar determinados conte\u00fados\", declarou a OpenAI sobre o atraso.\u00a0<\/span><\/p>\n

\"Estamos tamb\u00e9m a trabalhar para melhorar a experi\u00eancia do utilizador e a preparar a nossa infraestrutura para atingir milh\u00f5es de utilizadores, mantendo as respostas em tempo real. Como parte da nossa estrat\u00e9gia de implementa\u00e7\u00e3o iterativa, vamos come\u00e7ar a alfa com um pequeno grupo de utilizadores para recolher feedback e expandir com base no que aprendermos.\"<\/span><\/p>\n

As subscri\u00e7\u00f5es Premium aumentaram porque as pessoas estavam ansiosas por utilizar essas novas funcionalidades. Estaria a OpenAI a procurar um aumento de receitas a curto prazo, impulsionado por funcionalidades que nunca estiveram prontas?<\/span><\/p>\n

Os custos da energia s\u00e3o outro obst\u00e1culo<\/h2>\n

H\u00e1 ainda outro obst\u00e1culo na miss\u00e3o de rentabiliza\u00e7\u00e3o da IA generativa - o consumo de energia e de \u00e1gua.\u00a0<\/span><\/p>\n

At\u00e9 2027, a energia consumida pela ind\u00fastria da IA poder\u00e1 ser equivalente a <\/span>a de uma pequena na\u00e7\u00e3o<\/span><\/a>. <\/span>Os recentes picos de utiliza\u00e7\u00e3o de \u00e1gua da Microsoft e da Google s\u00e3o em grande parte atribu\u00eddos a cargas de trabalho intensivas de IA.<\/span><\/p>\n

Google recentemente divulgado<\/a> que a IA estava jogando suas estrat\u00e9gias de sustentabilidade fora do curso. As emiss\u00f5es de CO2 da empresa aumentaram em 48% desde 2019, e os executivos admitiram que as cargas de trabalho de IA s\u00e3o as culpadas.\u00a0<\/span><\/p>\n

A escassez de \u00e1gua induzida pela IA atingiu recentemente Taiwan, que come\u00e7ou a redirecionar a \u00e1gua de utiliza\u00e7\u00f5es agr\u00edcolas da IA<\/a> em plena seca, numa tentativa de manter a produ\u00e7\u00e3o em funcionamento. A escassez de \u00e1gua atinge tamb\u00e9m partes dos EUA em 2023, pelo que h\u00e1 impactos ambientais reais a enfrentar. <\/span><\/p>\n

Discurso no F\u00f3rum Econ\u00f3mico Mundial, <\/span>Altman<\/span><\/span><\/span><\/span> disse<\/span><\/a>\"Precisamos de muito mais energia no mundo do que pens\u00e1vamos que precis\u00e1vamos antes. Ainda n\u00e3o avali\u00e1mos as necessidades energ\u00e9ticas desta tecnologia\".<\/span><\/p>\n

Tudo isto tem um custo, tanto a n\u00edvel das empresas Microsoft, Google, etc., como das economias locais e nacionais.<\/p>\n

Os pr\u00f3ximos anos ser\u00e3o cruciais para moldar a trajet\u00f3ria da IA generativa, tanto em termos de retorno ou investimento, como de sustentabilidade e da tens\u00e3o entre os dois.\u00a0<\/span><\/p>\n

Como adverte Barbara H. Wixom, do MIT, \"h\u00e1 que encontrar uma forma de pagar isto. Caso contr\u00e1rio, n\u00e3o se consegue manter os investimentos e, ent\u00e3o, \u00e9 preciso desligar a ficha\".<\/span><\/p>\n

Ser\u00e1 que a IA generativa vai parar? Temos de pensar que \u00e9 demasiado grande para falhar. Mas, neste momento, parece estar presa no purgat\u00f3rio da monetiza\u00e7\u00e3o e \u00e9 preciso que alguma coisa, vinda de algum lado, administre outro impulso de progresso.\u00a0<\/span><\/p>\n

Talvez n\u00e3o seja preciso muito para empurrar a IA generativa para um ponto de inflama\u00e7\u00e3o necess\u00e1rio em que o progresso seja barato e natural.\u00a0<\/span><\/p>\n

Energia de fus\u00e3o, hardware anal\u00f3gico de IA de baixo consumo, arquitecturas leves - est\u00e1 tudo na calha - w<\/span>Resta-nos esperar para ver quando \u00e9 que tudo se encaixa.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Apesar da sua imensa popularidade, a OpenAI est\u00e1 alegadamente a gastar dinheiro a um ritmo insustent\u00e1vel e poder\u00e1 enfrentar uma perda impressionante de $5 mil milh\u00f5es at\u00e9 ao final de 2024. Isso \u00e9 de acordo com um relat\u00f3rio de choque do The Information, que cita demonstra\u00e7\u00f5es financeiras internas n\u00e3o divulgadas e n\u00fameros da ind\u00fastria que exp\u00f5em como a OpenAI j\u00e1 gastou cerca de $7 bilh\u00f5es em modelos de treinamento e at\u00e9 $1.5 bilh\u00f5es em pessoal. Dylan Patel, da SemiAnalysis, j\u00e1 havia dito ao The Information que a OpenAI teria desembolsado cerca de $700.000 por dia para fazer funcionar os seus modelos em 2022, registando perdas de quase $500 milh\u00f5es s\u00f3 nesse ano. Apesar de gerar<\/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\/pt\/2024\/07\/the-ai-monetization-conundrum-rages-on-as-openais-costs-rocket\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\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\/pt\/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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