MCP: Technical Detail or Revolutionary Framework?

Introduction The Model Context Protocol (MCP) emerged in late 2024 as Anthropic’s proposed standard for connecting AI models with external data sources and tools. It’s been called the “USB-C port for AI” — a universal interface allowing AI systems to access information from various sources through a single standardized protocol. But is MCP just another technical improvement, or does it represent something truly revolutionary in how AI systems operate? This post explores this question by breaking down what MCP is, how it works, and what it might mean for the future of AI. ...

March 21, 2025 · 6 min · Daniel Kovalenko

Learning ML, one experiment at a time

I started collecting these links while finding my own way into machine learning. The collection grew faster than my understanding. A good course is useful; five open courses can become a very elaborate way to avoid writing code. This is the route I would use to make that collection useful: pick one starting point, build something small, and let the things you cannot explain guide what you study next. Keep the resource shelf below for when you need it. ...

January 14, 2025 · 9 min · Daniel Kovalenko

The Intriguing World of Particle Life

In this post, we shall delve into the intricate domain of particle systems, where elementary rules orchestrate a complex array of behaviors. Our discourse will elucidate the principles of Particle Life, enhancing your comprehension of the sophisticated emergent phenomena characteristic of computational simulations. For an interactive experience, try out my demo at nerlfield.github.io/particle-life. ...

March 20, 2024 · 3 min · Daniel Kovalenko