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The CEO-CIO Compact for Agentic AI: Who Owns Risk, Spend, and Business Outcomes?

ai, AI (Artificial Intelligence), AI & Machine Learning, AI & ML, AI & Society, AI 2025 trends

TL;DR Agentic AI creates an accountability problem before it creates a technology problem. An AI agent can interpret goals, retrieve data, select tools, spend money, initiate workflows, and change business or technical systems. That authority cannot be assigned to an innovation committee, hidden inside a platform team, or treated as a normal software feature. The […]

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Healthcare benchmarks are only as good as their assumptions

ai, AI (Artificial Intelligence), articles, Artificial Intelligence, deep dive

In healthcare settings where patients use LLMs as a medical assistant, LLM performance differs between evaluation and deployment. (a) Bean et al. (2025) find a 61 percentage point difference between evaluation and deployment. (b) We argue this gap arises not from poorly designed benchmarks, but from implicit assumptions embedded in evaluation protocols that fail to

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Nearly 81 years after Hiroshima, scientists discover a hidden metal alloy created by the atomic bomb blast

ai, AI (Artificial Intelligence), Artificial Intelligence

Scientists found a new metallic alloy in Hiroshima shoreline sand. This alloy formed from extreme heat and rapid cooling during the 1945 atomic blast. Researchers identified its unique chemical makeup and crystal structure in microscopic particles. The discovery offers insights into matter behavior under extreme conditions. This finding could inspire future materials science research and

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