AI Eng

If it seems to you that in the last few years everyone has suddenly started speaking some new language, you’re wrong. Strange words keep popping up at rallies, in job postings, and even in regular work chats: LLM, inference, tokens, hallucinations, agents. And the problem isn’t even that they’re complicated. It’s that they’re often used as if everyone already understands everything. We explain what these wonder terms are and how to understand them.

Recently, OpenAI published a rather voluminous visionary document, «Industrial Policy for the Intelligence Age: Ideas to Keep People First,» which is a kind of broad vision of the development of society in the AI ​​era. That is, OpenAI is supposedly already preparing governments for the consequences of the total introduction of AI into all spheres of life — so that later no one can say that «we didn’t warn you.» The company’s position in this context is also quite peculiar, because, on the one hand, it itself, together with its colleagues, is creating these «consequences,» but at the same time it is thinking about what they will lead to.

Forget about the number of lines of code written. Now IT professionals have a new way to compete for the status of the most productive employee: by the number of AI tokens used. Because of this, a new trend has emerged in companies called tokenmaxxing, which has already provoked heated debate.