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OpenAI training data ‘contains millions’ of NYT and Daily News works

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Millions of stories published by sites including The New York Times and The New York Daily News have been found in three weeks of searching OpenAI’s training dataset.

The news publishers are currently trawling through data to find instances of their copyrighted work being used to train OpenAI’s models – but they say the tech company should be forced to provide the information itself.

They are now asking for a court order requiring OpenAI to “identify and admit” which of their copyrighted content was used to train each of its large language models between GPT-1 and GPT-4o.

According to the ChatGPT creator, which objected to the request, the publishers have asked for information about almost 20 million pieces of content mentioned in the case, “effectively resulting in almost 500 million requests”.

The publishers told the court on Friday that their requests to the AI company for help with inspecting the data “would be significantly reduced if OpenAI admitted that they trained their models on all, or the vast majority, of News Plaintiffs’ copyrighted content”.


A letter to the court also stated: “While they have already found millions of News Plaintiffs’ works in the training datasets, they do not know how many more works are yet to be uncovered – information that OpenAI, as the party that chose to copy these works, should be ordered to provide.”

The New York Times was the first major news publisher to file a copyright case against OpenAI and its partner Microsoft in December last year.

The New York Daily News and seven sister publications, all owned by Alden Global Capital, followed suit in April and the two cases have since been combined after OpenAI and Microsoft argued they “involve nearly identical allegations relating to the same new technology”.

In the new letter, the news publishers argued that identifying which of their copyrighted work was taken and used to train the GPT models is “foundational to these cases and informs the scope” of their claims.

“But News Plaintiffs and OpenAI have a fundamental disagreement about who is responsible for identifying this information.”

The publishers said they have served numerous requests since February for information about what’s in OpenAI’s training datasets, to which the tech company replied: “OpenAI will make available for inspection, pursuant to an inspection protocol to be negotiated between the parties, the pretraining data for models used for ChatGPT that it locates after a reasonable search.”

After long-running negotiations, since last month the news publishers have been inspecting OpenAI’s training data under strict conditions, previously described by the court as a “sandbox” (meaning a highly controlled environment in which only certain applications can be run).

But the news publishers said they initially faced “severe and repeated technical issues” stopping them from being able to “effectively and efficiently” carry out the search and “ascertain the full scope of OpenAI’s infringement”.

They complained that the process is “time-consuming, burdensome, and hugely expensive” and said they had spent the equivalent of 27 days via lawyers and experts in the OpenAI sandbox but were “nowhere near done”.

The New York Times Company results published on Monday revealed it has so far spent at least $7.6m on the case against OpenAI and Microsoft.

OpenAI: Training data searches are ‘uncharted waters’

OpenAI responded within the same letter that the publishers’ complaints about the inspection have either been resolved or are being actively discussed. It blamed the issues on consultants for the publishers “overwhelming the file system with malformed searches”.

OpenAI added: “Taking a step back, everyone agrees the parties are navigating uncharted waters with training-data discovery.

“There are no precedents for such discovery, where Plaintiffs seek access to several hundred terabytes of unstructured textual data. OpenAI cannot easily identify the specific content that Plaintiffs are interested in, so it did exactly what Rule 34 allows: it invited Plaintiffs to inspect the data as it is kept in the ordinary course. There is no ‘sandbox’. Rather, because the data is far too voluminous to produce, OpenAI built the hardware and software that Plaintiffs need to inspect.

“Specifically, OpenAI organised hundreds of terabytes of training data in an object-storage file system for Plaintiffs’ exclusive use; it built an enterprise-grade virtual machine with the computing power to access, search, and analyse the datasets; it installed hundreds of software tools and tens of gigabytes of Plaintiffs’ data upon their request; and it managed the necessary firewalls and secure virtual private network to support the inspection.”

OpenAI said it would continue to help the publishers overcome technical challenges provided they “engage in good faith” but added: “Unfortunately, this has not always been the case,” accusing them of delaying the process for months and submitting “hundreds of irrelevant requests”.

Representatives for the Authors Guild and progressive newsbrand Raw Story Media have also viewed the OpenAI training data for their own cases.

OpenAI previously asked a judge to force The New York Times to hand over its journalists’ confidential notes, a move the publisher warned would have “serious negative and far-reaching consequences” and was ultimately denied in September.

Email pged@pressgazette.co.uk to point out mistakes, provide story tips or send in a letter for publication on our “Letters Page” blog

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Programa insere novos servidores no exercício de suas funções — Universidade Federal do Acre

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Programa insere novos servidores no exercício de suas funções — Universidade Federal do Acre

A Diretoria de Desempenho e Desenvolvimento, da Pró-Reitoria de Desenvolvimento e Gestão de Pessoas, realizou a abertura do programa Integra Ufac, voltado aos novos servidores técnico-administrativos. Durante o evento, foi feita a apresentação das pró-reitorias, com explanações sobre as atribuições e o funcionamento de cada setor da gestão universitária. O lançamento ocorreu nessa quarta-feira, 11, na sala de reuniões da Pró-Reitoria de Graduação, campus-sede. 

A finalidade do programa é integrar e preparar os novos servidores técnico-administrativos para o exercício de suas funções, reforçando sua atuação na estrutura organizacional da universidade. A iniciativa está alinhada à portaria n.º 475, do Ministério da Educação, que determina a realização de formação introdutória para os ingressantes nas instituições federais de ensino.

“Receber novos servidores é um dos momentos mais importantes de estar à frente da Ufac”, disse a reitora Guida Aquino. “Esse programa é fundamental para apresentar como a universidade funciona e qual o papel de cada setor.”

A pró-reitora de Desenvolvimento e Gestão de Pessoas, Filomena Maria Oliveira da Cruz, enfatizou o compromisso coletivo com o fortalecimento institucional. “O sucesso individual de cada servidor reflete diretamente no sucesso da instituição.”

(Camila Barbosa, estagiária Ascom/Ufac)

 



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Atlética do Curso de Engenharia Civil — Universidade Federal do Acre

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NOME DA ATLÉTICA

A. A. A. DE ENGENHARIA CIVIL – DEVASTADORA
Data de fundação: 04 de novembro de 2014

MEMBROS  DA GESTÃO ATUAL

Anderson Campos Lins
Presidente

Beatriz Rocha Evangelista
Vice-Presidente

Kamila Luany Araújo Caldera
Secretária

Nicolas Maia Assad Félix
Vice-Secretário

Déborah Chaves
Tesoureira

Jayane Vitória Furtado da Silva
Vice-Tesoureira

Mateus Souza dos Santos
Diretor de Patrimônio

Kawane Ferreira de Menezes
Vice-Diretora de Patrimônio

Ney Max Gomes Dantas
Diretor de Marketing

Ana Clésia Almeida Borges
Diretora de Marketing

Layana da Silva Dantas
Vice-Diretora de Marketing

Lucas Assis de Souza
Vice-Diretor de Marketing

Sara Emily Mesquita de Oliveira
Diretora de Esportes

Davi Silva Abejdid
Vice-Diretor de Esportes

Dâmares Peres Carneiro
Estagiária da Diretoria de Esportes

Marco Antonio dos Santos Silva
Diretor de Eventos

Cauã Pontes Mendonça
Vice-Diretor de Eventos

Kaemily de Freitas Ferreira
Diretora de Cheerleaders

Cristiele Rafaella Moura Figueiredo
Vice-Diretora Chreerleaders

Bruno Hadad Melo Dinelly
Diretor de Bateria

Maria Clara Mendonça Staff
Vice-Diretora de Bateria

CONTATO

Instagram: @devastadoraufac / @cheers.devasta
Twitter: @DevastadoraUfac
E-mail: devastaufac@gmail.com

 



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Empresa Júnior — Universidade Federal do Acre

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SOBRE A EMPRESA

Nome: Engenhare Júnior
Data de fundação: 08 de abril de 2022
Fundadores: Jefferson Morais de Oliveira, Gerline Lima do Nascimento e Lucas Gomes Ferreira

MEMBROS DA GESTÃO ATUAL

Nicole Costeira de Goés Lima
Diretora-Presidente

Déborah Chaves
Vice-Presidente

Carlos Emanoel Alcides do Nascimento
Diretor Administrativo-Financeiro

CONTATO

Telefone: (68) 9 9205-2270
E-mail: engenharejr@gmail.com
Instagram: @engenharejr
Endereço: Universidade Federal do Acre, Bloco Omar Sabino de Paula (Bloco do Curso de Engenharia Civil) – térreo, localizado na Rodovia BR 364, km 4 – Distrito Industrial – CEP: 69.920-900 – Rio Branco – Acre.



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