Strategic success with digital twins does not begin with technology but with the clarity of purpose, internal alignment, and the patience to evolve through cycles of exploration, validation, and gradual scaling based on what truly fits the business. Microblog by @antgrasso
SYSTEMS
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Securing MCP Servers: Libraries and Approaches
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Have you seen any libraries/approaches to securing MCP servers that you like?
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SLMs Over LLMs: Better Choice for Agentic AI Systems
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Here’s why SLMs are a better choice for agentic AI: • High task accuracy on focused, repetitive tasks • Lower memory usage and faster inference • Huge cost savings over time • Easy to slot into a hybrid setup with LLMs for general reasoning
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Natural Laws vs Ideology: Constraints on System Structure
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A natural law is an observable regularity than can be derived from the structure of the underlying system, and thereby puts constraints on that structure. Conversely, ideology is not simply a system of ideas, but a black hole in the human thought space.
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Real-time AI Tools Enable Secure Scalable Enterprise Solutions
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These tools gave Nasdaq’s teams real-time feedback—and made scaling secure, cost-effective, and effortless.
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AI Smart Helmets Prevent Heat Stroke in Construction Workers
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AI-enabled smart helmets to help prevent heat stroke in construction workers A centralized and integrated flood control system using real-time data from IoT sensors These innovative ideas — and so many more over the last five years — have been realized as result of the
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Building Internal Mechanisms to Cope with Technological Change
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"Like, at a certain point we’re gonna have to build up some machinery, inside our guts, to help us deal with this."
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Recursive Self-Improvement: The Magic of Advanced AI Systems
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Different fields have different terms for magic. In complex systems it’s emergence. In AI it’s recursive self-improvement.
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MoE Router Collapse: The Critical Architecture Bottleneck
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Here’s what nobody tells you about MoE: the router can single-handedly destroy your model. You can have perfect expert network architecture, tuned hyperparameters, and unlimited compute, but if your router collapses, you’re back to dense model performance regardless of number of
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Kubernetes adoption threshold: MRR $500M net margin 40%
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Once your MRR>$500m and net margin<40%, consider Kubernetes.