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Baidu’s AI-related revenue remained around half of general business revenue in the second quarter, but fell to 125 billion yuan from 136 billion yuan in the prior quarter. The company’s AI portfolio spans cloud infrastructure, applications, search, Kunlunxin chips, and Apollo, yet model competitiveness, monetization, and growth remain unresolved.
A Stanford-led study of 715 X users found that the platform’s recommendation algorithm may favor posts that conflict with users’ values and provoke stronger emotional reactions. Researchers described a feedback loop in which anger drives replies, and those intense interactions lead the system to recommend more similar content.
NUS Medicine, DayOne and Cortical Labs have unveiled a biological data centre prototype in Singapore. The facility consists of a 20-unit rack of CL1 computers powered by living human neurons, although its efficiency claims have not yet been quantified publicly.
Google now lets users describe what they want to see in their Discover feed using natural language. The feature offers a more direct alternative to relying solely on algorithmic recommendations.
AI is increasingly used across the sales cycle to draft proposals, recommend discounts, and suggest next steps. The article argues that these recommendations should not become business decisions without governance, controls, and human accountability.
Loudoun County has changed its zoning rules so new data centers can no longer be approved as routine office-park projects. Developers must now obtain approval from residents and local government, ending more than 25 years of relatively easy approvals.
Incogni researchers evaluated 13 AI platforms to assess the privacy risks associated with each service. The analysis suggests that larger platforms generally present greater privacy risks, with one notable exception.
Google's AI Professional Certificate covers AI fundamentals, data analysis, and app building. The article highlights a way for learners to earn the credential without paying.
Oxford researcher Carl Benedikt Frey argues that China’s biggest obstacle to large-scale AI deployment may be inadequate social protection for workers displaced by automation, not computing power or algorithms. The analysis compares China with historical British welfare systems and Denmark’s flexicurity model, while noting that the cited Chinese incidents do not prove a broad AI crackdown.
Australia’s parliament passed the News Bargaining Incentive, requiring major platforms to face the law even if they choose not to carry news. Meta, Google, TikTok, and LinkedIn are among the affected companies.