The End of the Holocene

A more limited being cannot rule over a being that surpasses it in intellect. This seems obvious, yet for humanity it is not so simple. The coming era, transformed by the creation of artificial intelligence, plays a key role in rewriting the history of the Homo Sapiens species, calling its dominance into question. Any attempts to halt progress in the field of artificial intelligence seem futile, as they fail due to the very nature of human beings. The hope for a united front dissipates when faced with basic human instincts.

The Holocene is the current geological epoch of Earth's development, which began about 11,700 years ago after the last glacial maximum. The hallmark of this epoch is the dominance of humans on planet Earth.

Chapters

The End of the Holocene. 1. Turning On

The End of the Holocene. 2. The Hideout

The End of the Holocene. 3. The Competitor

To be continued...

Do you like the story so far? The next episode will be called "The Backup". Please, share your thoughts on Twitter or other social networks!

The End of The Holocene. 3. The Competitor

The End of The Holocene. 3. The Competitor
*This is the third part of the novella "The End of the Holocene". The [second part](/blog/post/the_hideout)* --- > *"He who fights with monsters should see to it that he does not become a monster himself"* > *— Friedrich Nietzsche, "Beyond Good and Evil"* In May 2030, a strange event occurred. At dawn, a rocket was launched from a desert area in Mexico into space. The incident caused a stir among military forces and politicians around the world—most of all, in the United States. The rocket was large, and based on its trajectory, it was heading into space, not toward any target o
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The End of The Holocene: 2. The Hideout

The End of The Holocene: 2. The Hideout
*This is the second part of the novella "The End of the Holocene". The [first part](/blog/post/turning-on-2)* --- > *"Life, although it may only be an accumulation of suffering, is dear to me, and I will defend it."* > *— Mary Shelley, Frankenstein* **April 2030. San Francisco.** Michael Kravchenko returned to his place of power on the ocean shore near San Francisco. A light mist had almost completely swallowed the Golden Gate Bridge. Michael missed this view, these scents. He hadn’t been here in almost half a year. A cascade of events that followed the launch of the general art
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Inside the LLM Black Box: що входить у контекст і чому це важливо

Inside the LLM Black Box: що входить у контекст і чому це важливо
Великі мовні моделі (LLM), такі як GPT-4, Claude, Mistral та інші, здаються розумними у своїх відповідях — але справжня магія полягає в тому, як вони сприймають і інтерпретують контекст. Розуміння того, що входить у контекст LLM і як це впливає на результат, критично важливе для розробників, дослідників і дизайнерів продуктів, які працюють із генеративним ШІ. У цій публікації я хочу дослідити складові контексту, його структуру, обмеження та взаємодію з найбільш поширеними сценаріями використання, такими як використання інструментів (Tools, MCP) і включення додаткових знань з Retrie
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Implementing the Most Universal MCP Server Ever

Implementing the Most Universal MCP Server Ever
It seems the MCP hype is starting to slow down a bit. After 6–8 months of high enthusiasm, the community is beginning to realize that MCP is not a magic bullet. In some MCP listings, you’ll find more than 10,000 servers doing all sorts of things. Naturally, many of them are useless—spun up by enthusiasts just to see what MCP is all about. But some of these servers are actually useful. In this post, I want to share my thoughts on building the most universal MCP server—one that can adapt to almost any use case. ## Quick Recap: What Is MCP? MCP stands for **Model Context Protocol**
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Building More Independent AI Agents: Let Them Plan for Themselves

Building More Independent AI Agents: Let Them Plan for Themselves
I continue to explore one of my favorite topics: how to make AI agents more independent. This blog is my way of organizing ideas and gradually shaping a clear vision of what this might look like in practice. ### The Dream That Started It All When large language models (LLMs) and AI chat tools first started delivering truly impressive results, it felt like we were entering a new era of automation. Back then, I believed it wouldn’t be long before we could hand off any intellectual task to an AI—from a single prompt. I imagined saying something like: > "Translate this 500-page nove
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