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(Reuters) -Social media platform Reddit sued artificial intelligence startup Perplexity in New York federal court on Wednesday, accusing it and three other companies of unlawfully scraping its data to train Perplexity's AI-based search engine. Reddit said in the complaint that Perplexity circumvented its data-protection measures in order to steal the data that it "desperately needs" to power its "answer engine" system. (Reporting by Blake Brittain in Washington)

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By Alexandra Alper, Michael Martina, Jeffrey Dastin and Karen Freifeld (Reuters) -The Trump administration is considering a plan to curb a dizzying array of software-powered exports to China, from laptops to jet engines, to retaliate against Beijing's latest round of rare earth export restrictions, according to a U.S. official and three people briefed by U.S. authorities. While the plan is not the only option on the table, it would make good on President Donald Trump's threat earlier this month to bar "critical software" exports to China by restricting global shipments of items that contain U.S. software or were produced using U.S. software. On October 10, Trump said in a social media post that he would impose additional tariffs of 100% on China's U.S.-bound shipments, along with new export controls on "any and all critical software" by November 1 without further details. To be sure, the measure, details of which are being reported for the first time, may not move forward, the sources said.  But the fact that such controls are being considered shows the Trump administration is weighing a dramatic escalation of its showdown with China, even as some within the U.S. government favor a gentler approach, according to two of the sources.  The White House declined to comment. The Commerce Department, which oversees export controls, did not respond to requests for comment. A spokesperson for the Chinese embassy did not comment on the specific U.S. measures under consideration but said China opposed the U.S. "imposing unilateral long-arm jurisdiction measures" and vowed to "take resolute measures to protect its legitimate rights and interests" if the U.S. proceeds down what it views as a wrong path. Administration officials could announce the measure to put pressure on China but stop short of implementing it, one of the sources said. Narrower policy proposals are also being discussed, two of the people said. "Everything imaginable is made with U.S. software," one of the sources said, highlighting the broad scope of the proposed action. The sources declined to be named because the matter was not public. The move could disrupt global trade with China, especially for technology products, and could come at a cost to the U.S. economy if fully implemented. The measure, if adopted, would echo restrictions that the Biden administration imposed on Moscow after its 2022 invasion of Ukraine. Those rules restricted exports to Russia of items made globally using U.S. technology or software. Trump's Truth Social post came just three weeks before a previously announced meeting with Chinese President Xi Jinping in South Korea, and a day after China dramatically expanded its export controls on rare earth elements. China dominates the market for such elements, which are essential to tech manufacturing. In his post, Trump said China's action, also effective November 1, represented "a moral disgrace" that would impose controls on "virtually every product they make." But questions have swirled about what Trump meant in his response by "critical software" controls. While Trump has slapped a series of tariffs on China since taking office in January, he has wavered in his use of export restrictions against Beijing, first imposing strict new curbs on shipments of Nvidia's AI chips as well as chip design software to China, and later removing them. China expressed its opposition to a Trump administration rule last month that restricts U.S. companies from shipping goods and technology to companies at least 50% owned by sanctioned Chinese firms. (Reporting by Alexandra Alper and Michael Martina in Washington, Jeffrey Dastin in San Francisco and Karen Freifeld in New York; Editing by Chris Sanders and Edmund Klamann)

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(Reuters) -Meta is cutting around 600 positions out of the several thousand roles in its Superintelligence Labs, the Facebook owner said on Wednesday as it looks to make its artificial intelligence unit more flexible and responsive. The job cuts will affect Facebook Artificial Intelligence Research (FAIR) unit, as well as teams focused on product-related AI and AI infrastructure, the company said. The newly formed TBD Lab, which comprises "a few dozen" researchers and engineers developing Meta's next-generation foundation models, will not be affected. Axios first reported the job cuts announcement, citing a company memo. Chief AI Officer Alexandr Wang said fewer team members would streamline decision-making and increase the responsibility, scope and impact of each role. The company said it was encouraging affected employees to apply for other jobs within Meta. Meta on Tuesday struck a $27 billion financing deal with Blue Owl Capital, the company's largest-ever private capital agreement, to fund its biggest data center project. Some analysts said the deal will allow Meta to achieve its massive AI ambitions by shifting much of the upfront cost and risk to external capital, while retaining a smaller ownership share in the project. The parent of Facebook and Instagram reorganized its AI efforts under Superintelligence Labs in June after senior staff departures and a poor reception for its open-source Llama 4 model. CEO Mark Zuckerberg personally led an aggressive hiring spree for the unit to revitalize Meta's AI efforts. Superintelligence Labs includes Meta's foundations, product and FAIR teams as well as TBD Lab that is focused on developing the company's next generation of AI models. The company began investing in AI in 2013 by launching FAIR unit and recruiting Yann LeCun, its chief AI scientist, to lead the effort and building a global research network focused on deep learning. (Reporting by Jaspreet Singh in Bengaluru; Editing by Vijay Kishore and Arun Koyyur)

(The article has been published through a syndicated feed. Except for the headline, the content has been published verbatim. Liability lies with original publisher.)

(Reuters) -Meta is cutting around 600 positions out of the several thousand roles in its Superintelligence Labs, the Facebook owner said on Wednesday as it looks to make its artificial intelligence unit more flexible and responsive. The job cuts will affect Facebook Artificial Intelligence Research (FAIR) unit, as well as teams focused on product-related AI and AI infrastructure, the company said. The newly formed TBD Lab, which comprises "a few dozen" researchers and engineers developing Meta's next-generation foundation models, will not be affected. Axios first reported the job cuts announcement, citing a company memo. Chief AI Officer Alexandr Wang said fewer team members would streamline decision-making and increase the responsibility, scope and impact of each role. The company said it was encouraging affected employees to apply for other jobs within Meta. Meta on Tuesday struck a $27 billion financing deal with Blue Owl Capital, the company's largest-ever private capital agreement, to fund its biggest data center project. Some analysts said the deal will allow Meta to achieve its massive AI ambitions by shifting much of the upfront cost and risk to external capital, while retaining a smaller ownership share in the project. The parent of Facebook and Instagram reorganized its AI efforts under Superintelligence Labs in June after senior staff departures and a poor reception for its open-source Llama 4 model. CEO Mark Zuckerberg personally led an aggressive hiring spree for the unit to revitalize Meta's AI efforts. Superintelligence Labs includes Meta's foundations, product and FAIR teams as well as TBD Lab that is focused on developing the company's next generation of AI models. The company began investing in AI in 2013 by launching FAIR unit and recruiting Yann LeCun, its chief AI scientist, to lead the effort and building a global research network focused on deep learning. (Reporting by Jaspreet Singh in Bengaluru; Editing by Vijay Kishore and Arun Koyyur)

(The article has been published through a syndicated feed. Except for the headline, the content has been published verbatim. Liability lies with original publisher.)

(Reuters) -Meta is cutting around 600 positions out of the several thousand roles in its Superintelligence Labs, the Facebook owner said on Wednesday as it looks to make its artificial intelligence unit more flexible and responsive. The job cuts will affect Facebook Artificial Intelligence Research (FAIR) unit, as well as teams focused on product-related AI and AI infrastructure, the company said. The newly formed TBD Lab, which comprises "a few dozen" researchers and engineers developing Meta's next-generation foundation models, will not be affected. Axios first reported the job cuts announcement, citing a company memo. Chief AI Officer Alexandr Wang said fewer team members would streamline decision-making and increase the responsibility, scope and impact of each role. The company said it was encouraging affected employees to apply for other jobs within Meta. Meta on Tuesday struck a $27 billion financing deal with Blue Owl Capital, the company's largest-ever private capital agreement, to fund its biggest data center project. Some analysts said the deal will allow Meta to achieve its massive AI ambitions by shifting much of the upfront cost and risk to external capital, while retaining a smaller ownership share in the project. The parent of Facebook and Instagram reorganized its AI efforts under Superintelligence Labs in June after senior staff departures and a poor reception for its open-source Llama 4 model. CEO Mark Zuckerberg personally led an aggressive hiring spree for the unit to revitalize Meta's AI efforts. Superintelligence Labs includes Meta's foundations, product and FAIR teams as well as TBD Lab that is focused on developing the company's next generation of AI models. The company began investing in AI in 2013 by launching FAIR unit and recruiting Yann LeCun, its chief AI scientist, to lead the effort and building a global research network focused on deep learning. (Reporting by Jaspreet Singh in Bengaluru; Editing by Vijay Kishore and Arun Koyyur)

(The article has been published through a syndicated feed. Except for the headline, the content has been published verbatim. Liability lies with original publisher.)

By Max A. Cherney SAN FRANCISCO (Reuters) -Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use with artificial intelligence. The new algorithm called Quantum Echoes, which runs on the company's quantum chip, is 13,000 times faster than the most sophisticated classical computing algorithm on supercomputers, Google said. In the future, the Quantum Echoes algorithm may be able to help measure molecular structure in molecules which could aid in drug discovery and help material science through identifying new types of materials, company executives told a media briefing last week. Alphabet's Google is among several major tech firms including Amazon and Microsoft investing in quantum computing – which promises to speed up computing and solve problems out of reach for today's machines. Last year, Google unveiled its quantum chip, Willow, that the company said is able to overcome a crucial problem with "qubits", the building blocks of quantum computing. The development of the algorithm was roughly equivalent in significance to the chip, the executives said. The algorithm is also verifiable with other quantum computers or through experiments. Verifiable data means that it can lead to practical applications. "If I can't tell you the data is correct, if I can't prove to you the data is correct, how can I do anything with it?" Google staff research scientist Tom O'Brien said. For artificial intelligence, Google's engineers hope to be able to use the algorithm to help create new data sets for uses in areas such as life sciences where good data sets do not exist to train AI models with. Google published details about the Quantum Echoes algorithm in the scientific journal Nature on Wednesday. (Reporting by Max A. Cherney in San Francisco; Editing by Edwina Gibbs)

(The article has been published through a syndicated feed. Except for the headline, the content has been published verbatim. Liability lies with original publisher.)