Leading tech companies are in a race to release and improve artificial intelligence products, leaving U.S. users to puzzle out how much of their personal data could be extracted to train AI tools.
For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.
Do that right, and AI can keep advancing responsibly. Ignore it, and growth could stall under legal and ethical pressure.
Morning Overview on MSN
Wikipedia quietly pulls Microsoft and Meta into its AI data pipeline
Wikipedia has quietly turned one of the internet’s most beloved public resources into a structured data backbone for ...
The legal profession is standing at the edge of one of the most profound transformations in its modern history. In 2026, ...
Platforms that insist on a single global recipe are giving way to systems that adapt to a valley, a village, and sometimes ...
CEO of Scale AI Alexandr Wang testifies on July 18, 2023 in Washington, DC. Correspondent Meta’s $14.3 billion investment in Scale AI, the leading player in the AI data industry, was a very strange ...
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