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Context engineering beats model upgrading. Anthropic's MCP protocol standardizes how agents access tools and data, making agent deployment finally scalable.
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Satya Nadella reframes AGI as an economic question, not a technical one. Real intelligence abundance means 10% GDP growth, not benchmark scores. Plus: why hyperscalers win, models won't be winner-take-all, and AI is Lean for knowledge work.- Published on
Notes on a Y Combinator conversation with Aaron Levie about why enterprises buy workflow outcomes, not model access.- Published on
AgentOps is the critical framework for deploying and managing reliable AI agents across diverse applications. This post explores the core principles of AgentOps, the challenges of managing autonomous systems, and best practices for building secure, scalable, and compliant AI.- Published on
DeepSeek-R1 challenges the AI industry’s billion-dollar spending spree, proving that smarter architectures can rival the best models at a fraction of the cost. With an MoE design, 128K token context, and open-source availability, it disrupts AI economics and forces OpenAI, Meta, and others to rethink their strategies.