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Amazon is focusing on agentic AI, forming a new AWS group led by Swami Sivasubramanian. This AI will advance task automation and could become a multi-billion dollar business. Amazon aims to enhance innovation and exploit agentic AI both for consumers and enterprises.

Amazon is developing a new AI model, Nova, designed for hybrid reasoning to compete with OpenAI and Anthropic. The model aims for cost efficiency and top performance in external benchmarks. Nova combines quick answers with complex problem-solving techniques for enhanced AI capabilities.

LA Times now uses AI to flag articles with 'Voices' labels for personal perspectives. While intended to provide diverse views, this move faces criticism for potential bias and lack of editorial oversight. Early AI-produced results have sparked controversy, questioning the tool's effectiveness.

Despite CEO Satya Nadella's commitment to expanding AI capacity, Microsoft is reportedly reconsidering its AI infrastructure investments. Analysts suggest the company has cancelled data center leases, potentially due to concerns over an oversupply position.

The article discusses the integration of generative AI tools in crowdsourcing, particularly for data annotation. While GenAI may change the nature of crowd work, human oversight remains crucial to ensure quality, diversity, and to mitigate risks associated with 'AI training AI'.

Microsoft introduces Windows 365 Disaster Recovery Plus, a service aimed at restoring Cloud PCs within 30 minutes during outages, likely utilizing AWS for hosting. This enhancement promises swift recovery to minimize downtime for businesses relying on cloud-based operations.

The Pentagon and CISA refute media claims that there is a directive to reduce US cyber activities against Russia, asserting no changes have been made to current cyber policies.

Indiana's data center boom, driven by tech giants like Amazon, Google, and Microsoft, could burden residents with higher energy costs. A proposed bill seeks to make tech companies cover 80% of energy costs, sparking debate over who should bear the infrastructure expenses.

A robust data foundation is crucial for businesses to harness AI effectively and remain competitive. Companies must integrate and analyze data carefully, opting for enterprise AI tools over generalized models initially. A supportive culture and strategic planning are key to AI success.