01News
Amazon’s latest India investment comes as global tech companies race to expand AI infrastructure in the country.
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The entire solution supports low-code development and rapid deployment, and can be flexibly adapted according to the needs of different industries.
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The Authors Guild tested five AI detectors on human-written texts. Pangram and Grammarly correctly identified all of them, while Sidekicker and ZeroGPT flagged human-written articles as AI-generated. But the Guild also warns of a paradox: professionally written texts look statistically similar to AI output because language models were trained on exactly that kind of writing.
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Jensen Huang stated that the construction cycle for such infrastructure will span decades, mirroring the development of other critical systems like power grids, transportation networks, and the internet.
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On June 24, Beijing Shengshu Technology Co., Ltd. and Shanghai Jidou Technology Co., Ltd. officially reached a strategic cooperation agreement.
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Gartner's latest report points out that as Token prices keep rising, by 2028 AI programming cost will exceed average salary of ordinary developers. Billing model shifts from subscription to usage-based billing, making enterprise spending hard to predict, while developers are unlikely to voluntarily reduce usage due to pursuit of efficiency. #AI programming cost# #Gartner forecast#
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By 2025, Meta will have already replaced about half of all human moderation requests with large language models and aims to increase that percentage to over 90 percent for certain types of content by the end of the year.
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Google appears to be hemorrhaging key AI researchers to competitors.
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Chen Zhenkuan, Vice President of Lenovo Group and General Manager of China Infrastructure Business Group, announced a performance growth target: in 2027, Lenovo China Infrastructure Group will anchor a target of 1000 billion yuan.
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Meta says the page management platform shows you ‘exactly what to do next to succeed on Facebook.’
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Huang Zhenxin stated that the ultimate goal is to explore the limits of intelligence and hopes to compete with those three overseas model companies.
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Google has integrated "Computer Use" directly into Gemini 3.5 Flash, letting the model operate computers, browsers, and mobile devices on its own. On the OSWorld benchmark, it scores 78.4, putting it on par with GPT-5.5. Developers can use the Gemini API to build agents for software testing or office automation.
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Currently, the model is internally codenamed "U1 Pro", advanced by SenseTime Research Institute, a member of SenseTime Rixin model family. It is expected that this July the model will start internal invite testing and provide services to customers.
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Fang Rong revealed that ZTE's new generation AI phone will be launched soon. This is an important step for ZTE to push intelligent capability from cloud to device, will provide an interaction experience of 'understanding and being able to work', thereby driving the growth potential of the entire terminal ecosystem.
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Using Microsoft Excel as an example, he pointed out that new technologies often reshape work methods rather than directly eliminating jobs, 'disappearing and changing are two different things. The key is not to only look at the current static picture of the world and then conclude that a certain position will no longer exist and the people doing these jobs will be unemployed. New jobs will appear.'
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Schmidt thinks Chinese people are very smart, have already built top AI models with weaker AI hardware, and specifically mentioned Huawei Ascend chips, as well as using various software methods to bypass latency and architecture issues. #Former Google CEO criticizes Chinese AI open source#
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Baidu open-sourced and launched the Unlimited OCR model on June 22, with a total parameter count of 3 billion, activating only 500 million parameters during inference, aiming to solve the problem that end-to-end OCR models slow down the more they generate when parsing long documents.
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Corning unveiled its glass-based optical interconnect technology 'Glass Bridge' for next-generation AI data centers at a Seoul tech conference, aiming to directly couple photonic chips with optical fibers, simplifying assembly and increasing density. The technology offers a new solution for frontier architectures such as co-packaged optics (CPO), and is expected to address the interconnect challenges brought by AI compute growth. #Corning# #AI Data Center#
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