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Technology and tools: how it works inside and what to do with it in practice.

6 articles

Jev could change the architecture of AI agents — and here is why

A new class of models has appeared. TypeSafe AI's Jev does not write text — in a fraction of a second it returns a finished decision: choose, score, give a probability. I look at how a layer like this takes hundreds of small decisions away from GPT and Claude inside AI agents, where it already works and where it breaks.

One Does Not Simply Ship an LLM to Production: how to manage AI systems in a company

From DataOps to AIOps: what production-ready AI systems are actually made of, and why the model alone delivers no business value. These days AI agents that act on their own are nothing new. In demos it all looks great, but in production most of those agents don't work. So how do we make them production-ready? Let's figure it out. A business…

How AI agents are starting to train robots on their own

Robots are starting to learn on their own. Not just to execute pre-trained actions, but to try out solutions in the real world, make mistakes, analyze the result, change their own behavior and save successful actions as new skills. And the next step is even more interesting: a robot can accumulate experience on its own, turn it into data and use that data to train faster specialized models. I've broken down why this could become one of the most important shifts in modern robotics.

A New Era of Sport: How AI Is Changing the Limits of Human Performance

AI is gradually turning sport into a computing system in which every movement becomes data. We understand ever more precisely how the human body moves, where its limits lie and what can be changed to make it faster and stronger. Let's look at how artificial intelligence is already changing sport — and how far this can go. The most influential AI…