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Microsoft is investing $1.7 billion in cloud and AI infrastructure in Indonesia, the company announced. The investment includes new digital infrastructure, AI training for 840,000 people, and support for the country's growing developer community. Microsoft also plans to equip 2.5 million people in the ASEAN region with AI skills by 2025. The investment follows other multi-billion dollar investments by Microsoft in Germany, Spain, and Japan. Microsoft's main goal here is likely to strategically buy cloud growth in the short and medium term, to attract as many countries and companies as possible to Azure and profit from it in the long term. A good portion of the money invested will likely go directly back into the Azure cloud. Microsoft is taking a similar approach with its investments in AI startups such as OpenAI.

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The Japanese government is planning to test an AI system to better detect wild bears, according to a government source. The move follows a record 198 bear attacks on humans in 19 prefectures last fiscal year, with 219 people injured and six killed. The system is designed to use surveillance camera images to immediately detect bears and alert the authorities. The pilot test is scheduled to begin this summer in Toyama Prefecture. If successful, the system could be used nationwide. The government is stepping up measures against bear attacks and considers rapid detection and information transmission to be crucial. A separate trial of automatic bear surveillance cameras is planned in Iwate Prefecture.

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Generative AI is clogging up recruiters' inboxes. Recruiters tell WIRED that they receive thousands of applications for some jobs, often from unsuitable candidates. Many use AI tools to create cover letters and resumes, and apply en masse. Recruiters suspect that some candidates are even using AI to complete tasks in the selection process. This frustrates recruiters, who spend a lot of time sifting through applications. Job platforms such as LinkedIn and Indeed are themselves integrating generative AI to assist recruiters by suggesting suitable candidates or writing messages. However, many recruiters are still skeptical and fear bias from AI systems. As a result, some focus on human interaction and analog approaches in the selection process, believing that the technology is not yet fully developed.

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