Gradient Flow’s analysis of data, technology, and business, with a focus on machine learning and AI — one of the Top 10 Sites for Data Scientists.
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Tokenomics: AI’s New Design Constraint
The Cost Reality of Running AI at Scale Budget shock is already happening. Multiple major players have pulled back on AI features or subscriptions due to unexpectedly high token costs.…
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The Gap Between the Press Release and the Power Grid
Back in February, I wrote about what I called the “Data Center Rebellion,” the growing local resistance to the physical infrastructure behind AI. Since then, I have been asking tech…
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Your Enterprise Data Deserves Better Than a Chatbot
Large language models and their multimodal variants remain the foundation models most people encounter first. That makes sense. Text, images, audio, and video cover a huge range of knowledge-work tasks,…
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Beyond the Demo: What Real AI Agents Actually Do at Work
I am always on the lookout for new AI agents and applications that operate outside the coding world. By agent, I mean a system that can take a goal, use…
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The Vatican’s AI Principles: What You Need to Know
The Vatican’s recent encyclical, Magnifica Humanitas, introduces a moral framework that challenges how technology leaders evaluate artificial intelligence. It treats AI as a test of human priorities. Its central question…
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An AI Math Breakthrough and the New Division of Labor
In a piece I wrote a few months ago, I argued that research mathematics had become an unexpectedly useful test case for AI, precisely because mathematical claims are either right…
