#开源生态
#开源生态
今日 2 条谷歌发布危机韧性白皮书,展示其在自然灾害应对方面的努力
推荐理由:Google 通过其 AI 模型和技术帮助全球应对自然灾害,展示了其在危机应对和灾害预防方面的努力。
数据中心成为战争目标:数据即新石油的现实与挑战
推荐理由:文章探讨了数据中心在战争中的角色,以及其对国际法和民用基础设施的影响,对理解当前技术战争趋势有重要价值。
加州构建行为健康公共县概况平台
推荐理由:原文展示了如何利用数据平台提升政府透明度和公共服务质量,对数据驱动的政府治理有参考价值。
Databricks 推出治理数据共享方案,提升国防供应链可见性
推荐理由:原文介绍了通过治理数据共享解决国防供应链可见性的方案,读者可以了解该方案如何提高供应链透明度和效率。
欢迎OTT加入TOR和MTL,成为Cohere在加拿大的第三个办公室。Cohere在加拿大起源,并为此感到自豪。
引用Cohere@cohereWe’re announcing Cohere’s first office in Ottawa 🇨🇦 Canada is where Cohere started, and we’re proud to keep building here.
- 引用kian@kiankatan
I have some big news to share. Workera is being acquired by Pearson! Over six years ago, I was teaching at Stanford and thinking about a simple question: what if we could understand everyone's skills as precisely as the best teachers understand their students? I believed it could lead to a more meritocratic world. People could be recognized for what they can actually do, not just their credentials or network. They could understand their strengths and gaps, and rapidly develop the skills they need next. Organizations could discover talent they might otherwise overlook and manage their workforce with trusted skills data. What felt like a dream at the time is now a reality. Workera brought together experts in AI, psychometrics, and enterprise execution to build AI systems that reinvent how skills are measured. Our team pioneered AI-native skills intelligence, agent-led multimodal assessments, and even ambient skill measurement. We've established skills benchmarks across organizations, industries, and roles. And this mission feels more important today than ever! AI is changing work as we speak. Some roles are disappearing, new ones are emerging, and we need to help billions of people develop new skills and navigate what comes next. When I first spoke with @omarabbosh, it became clear that our companies shared the same mission. Pearson has helped generations of people learn and prove what they know. If you're reading this, there's a good chance you've taken a Pearson assessment, learned from their educational materials, earned a professional credential through them, read their psychometrics research, or benefited from their enterprise products in many other ways. Bringing together Workera's technology and AI talent with Pearson’s global scale and deep expertise in learning and assessment means we can pursue our mission at a scale we could only imagine on our own. To our customers and partners, thank you for believing in us. Expect even more innovations coming out of Workera and Pearson. To the Workera team, I’m incredibly proud of what you've built, and your continued dedication to our beautiful mission. To our board and our chairman @AndrewYNg, thank you for your belief, support, and mentorship. To everyone, we have big plans for this next chapter, so please stay tuned. We're just getting started! 😊
中国AI基础设施繁荣:介绍SemiAnalysis数据中心模型
推荐理由:中国数据中心市场正在快速发展,读者可以了解其规模和主要参与者,以及其对AI行业的影响。
Mistral AI 完成巨额融资,推动主权、开放权重 AI 发展
推荐理由:Mistral AI 完成巨额融资,推动主权、开放权重 AI 的发展,对行业影响显著。
Hugging Face披露2026年7月安全事件
推荐理由:原文详细描述了Hugging Face遭受的AI驱动入侵事件,以及他们如何利用AI进行检测和分析,对网络安全领域有重要参考价值。
DeepSeek 的 10 万亿美元大战略
推荐理由:DeepSeek 的技术创新及其对 AI 硬件生态的影响值得关注,尤其是其在混合专家模型和注意力机制方面的贡献。
印度政府选择Sarvam构建主权大型语言模型
推荐理由:印度政府选择Sarvam构建印度主权大型语言模型,标志着印度在AI领域的重要进展,对国内创新和AI领导地位有重要影响。
























