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Goldman Sachs Report: AI Contributed 'Basically Zero' to US Economic Growth Last Year

According to a report by Goldman Sachs, Artificial Intelligence (AI) had a negligible impact on US economic growth last year, contributing 'basically zero'. This assessment suggests that despite widespread discussion and investment in AI technologies, its tangible effects on the broader economy have yet to materialize significantly. The report's findings indicate that the anticipated economic boost from AI has not been observed in the recent past, prompting a re-evaluation of the immediate economic benefits of AI integration.

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A recent analysis from Goldman Sachs indicates that Artificial Intelligence (AI) made a minimal contribution to the economic growth of the United States over the past year. The financial institution's report concluded that AI added 'basically zero' to the nation's economic expansion. This finding comes amidst considerable hype and investment surrounding AI technologies across various sectors. Despite the ongoing advancements and increasing adoption of AI tools, the direct economic impact, as measured by GDP growth, appears to have been insubstantial during the period under review. The report's implications suggest that while AI holds long-term potential, its short-term economic dividends have not yet become evident on a national scale. This assessment may lead to further scrutiny regarding the timelines and mechanisms through which AI is expected to translate into significant economic benefits.

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Manus Resumes Independent Operations Following Meta Deal and Launches Data Restoration Portal
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Manus Resumes Independent Operations Following Meta Deal and Launches Data Restoration Portal

Manus has officially transitioned back to independent operations following the conclusion of a deal with Meta. This strategic shift is accompanied by a significant update regarding user data management. To address previous data deletions necessitated by regulatory compliance, Manus has introduced a dedicated restoration portal. This tool allows users to recover information that was previously erased to meet legal and regulatory standards. The move marks a new chapter for Manus as it navigates its post-Meta trajectory, prioritizing data accessibility and compliance-driven recovery solutions for its user base. The resumption of independence suggests a shift in the company's corporate structure and operational autonomy within the broader technology landscape.

Google Seeks Strategic AI Training Partnerships with Major Hollywood Studios Through Licensing Deals
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Google Seeks Strategic AI Training Partnerships with Major Hollywood Studios Through Licensing Deals

Google is reportedly initiating high-stakes negotiations with Hollywood's leading film and television studios to secure licensing agreements for its artificial intelligence models. The tech giant is offering substantial financial compensation in exchange for the rights to train its AI systems on copyrighted creative material. This move represents a significant shift toward a formalized, paid-acquisition model for high-quality training data. While the proposed deals are framed as a potential 'win-win'—providing studios with a massive financial influx and Google with premium content—the evolving narrative suggests a critical power dynamic. Current industry observations indicate that Google’s reliance on professional creative assets to advance its AI capabilities may outweigh the studios' immediate necessity for AI integration, placing Hollywood in a unique position of leverage within the technological landscape.

AfterQuery Becomes Y Combinator’s Fastest Unicorn with a $3.2 Billion Valuation in Just Five Months
Industry News

AfterQuery Becomes Y Combinator’s Fastest Unicorn with a $3.2 Billion Valuation in Just Five Months

AI model-training startup AfterQuery has reportedly reached a staggering $3.2 billion valuation, setting a new record as the fastest company in Y Combinator’s history to achieve unicorn status. This massive valuation surge comes only five months after the company announced its $30 million Series A round in April, which at the time valued the startup at $300 million. The rapid escalation—a more than ten-fold increase in value within a single season—highlights the intense investor appetite for AI infrastructure and model-training specialized services. As an alumnus of the prestigious Y Combinator accelerator, AfterQuery’s trajectory establishes a new benchmark for growth speed in the artificial intelligence sector, reflecting a high-stakes environment where foundational AI technologies are being valued at a premium.