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Scaling an AI platform requires both performance and safety. @EaseMate_AI_ leverages Alibaba Cloud’s AIGC services and LLMs to drive global innovation. The results: • 99.5%+ accuracy in real-time content moderation. • 20% reduction in API costs. Scaling smarter with Alibaba Cloud. 🚀 #GenerativeAI# #CloudComputing# #Qwen# #ModelStudio# #LighthouseCustomerStories#

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Oracle's total workforce declined 13%, or about 21,000 employees, in fiscal 2026, as the cloud computing giant continued restructuring its business, partly driven by the adoption of AI across ‌its operations

Oracle's total workforce declined 13%, or about 21,000 employees, in fiscal 2026, as the cloud computing giant continued restructuring its business, partly driven by the adoption of AI across ‌its operations. More here:

India’s digital infrastructure journey is gathering remarkable momentum. AirTrunk has announced plans to invest around Rs. 3 lakh crore ($30 billion) in India, and develop 5 GW of data centre capacity. This is among the largest proposed investments in the country’s digital infrastructure ecosystem. Such investments will strengthen India’s position as a global hub for cloud computing and AI, while generating employment opportunities, supporting local supply chains and accelerating innovation-led growth. It is clear that the future of the world’s digital economy is increasingly being shaped in India!

Elon Musk was asked how fast AI is moving. His answer wasn’t about the technology. It was about the one man who got it all right and was still too conservative. Musk: “I have to give credit to Ray Kurzweil in being actually remarkably accurate in his predictions. If anything, I think he was perhaps a bit conservative in his predictions.” Kurzweil spent 30 years making forecasts that made serious people uncomfortable. He predicted timelines that sounded impossible. He was mocked for it. He was right about nearly all of them. And Musk just called him conservative. Musk: “The dedicated AI compute appears to be growing by a factor of 10 every six months.” 10x every six months. Musk: “Almost a 100x improvement per year, at least for the next few years.” Moore’s Law was a 2x improvement every two years. That single curve drove every technological shift of the last 50 years. The internet. Smartphones. Cloud computing. All of it rode a 2x curve. AI is on a 100x curve. And the current infrastructure isn’t running beside the new one. It’s becoming it. Musk: “Probably a lot of the data centers, maybe most of the data centers that currently do conventional compute, will transition to AI compute.” Everything that runs the world you know is being rewired for the world that comes next. Human beings process the future in straight lines. We take the speed of the last decade and project it forward. Exponential growth doesn’t work that way. It’s invisible until it’s everywhere. The most aggressive forecaster in the history of technology was too conservative. That’s not about Kurzweil being wrong about the direction. That’s about the human brain being wrong about the speed. The limit was never the technology. It was the organ we use to comprehend it. And that organ hasn’t been upgraded in 200,000 years.

Microsoft’s one-billion-dollar AI data center project in Kenya has stopped for now because of major power problems. The project started in 2024 and they planned to build it near Olkaria using power from hot underground water to create Microsoft’s first cloud computing area in East Africa. Kenya’s President William Ruto said that powering the whole project would require turning off electricity for about half the country, since Kenya’s power grid can only generate around 3,000 megawatts. Talks stopped due to disagreements about power supply promises and whether the country has sufficient infrastructure ready. Government officials say the project is not canceled and they are still discussing making it smaller or changing the plan.

Sun microsystem 2000年的时候股价如日中天，市值一度到两千亿美元，后来在廉价 PC 和开源 Linux 系统的进攻下节节败退， 2009年不到六十亿美元贱卖给 Oracle. 原来在 menlo park 的总部也卖给了 meta. 事后看，Sun 可以有两个路线获得有机增长，而且这两个路线对于它所拥有的资源而言，是个比较自然，并不太难的演变。 一个是提前做 red hat 的事，给企业使用 unix 提供技术支持， red hat 后来 340 亿美元被 ibm 收购。还有一个路线是做 cloud computing, 在 2000年的时候，不管是技术还是企业销售渠道，sun 都有强大资源，可以做得比那时还是个书店的 amazon 好很多。 但这两个新路线，需要和当时卖高端 solaris 服务器的商业模式，完全不同的思路和组织架构，会对股价短期产生巨大冲击。一般 ceo 没有足够魄力和威信，可以那么早就对自己提前革命。等到最后意识到的时候，已经来不及了。