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谷歌计划与Scale AI切断联系;礼来实验性减肥药物在早期试验中减重超11%丨全球科技早参
Mei Ri Jing Ji Xin Wen·2025-06-15 23:50

Group 1 - Google plans to cut ties with Scale AI, originally set to pay $200 million for AI training data, due to Meta's acquisition of a 49% stake in Scale AI, leading Google to engage with competitors [2] - Scale AI's revenue in 2024 is projected at $870 million, with Google contributing approximately $150 million [2] - Microsoft and xAI are also considering abandoning Scale AI due to concerns over research exposure to Meta [2] Group 2 - Amazon plans to invest approximately $12.97 billion (200 billion AUD) in data center infrastructure in Australia from 2025 to 2029, marking its largest investment in the region [3] - The investment will enhance server capacity and support generative AI workloads, alongside the establishment of three new solar power plants with a total capacity exceeding 170 megawatts [3] - This strategic move is expected to boost investor confidence in Amazon's sustained business growth [3] Group 3 - Eli Lilly's experimental weight loss drug, Eloralin, has shown promising results, with patients losing an average of 11.5% of their body weight in 12 weeks during early trials [4] - The data from Eloralin is reported to outperform similar drugs from Roche and Zealand, indicating strong competitive potential in the weight loss market [4][5] Group 4 - Microsoft is testing an AI agent in Windows 11 settings, allowing users to describe issues and receive solutions, which may enhance the integration of AI with operating systems [6] - This development could prompt competitors to follow suit, intensifying industry competition [6] Group 5 - Intel has announced a new round of layoffs starting mid-July, focusing on its Oregon wafer fabrication facility, as part of a restructuring of its Intel Foundry manufacturing division [7] - The layoffs aim to improve the company's financial situation, although specific numbers have not been disclosed [7] - This move may weaken Intel's short-term R&D capabilities but is intended to aid in cost control [7]