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Sergey Tereshkin's Blog
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With the development of artificial intelligence technologies, the world is facing a new environmental issue – the energy consumption of neural networks. Neural networks require significant computational power, which means they consume vast amounts of electricity and water for cooling servers in data centers. This resource utilization negatively impacts the environment, increasing the carbon footprint of technologies. This article explores the consequences of artificial intelligence on the ecology and examines the investment risks it poses. It is crucial to understand the scale of the problem and ways to minimize harm, which can be part of the ESG strategies of many companies.
Media
In recent years, the Russian oil products market has been facing new challenges. One such challenge has been the sharp increase in the number of cases initiated by the Federal Antimonopoly Service (FAS) against owners of gas stations (GS). Over the past year, the number of these cases has tripled, raising concerns among both station owners and consumers. In this article, we will examine the causes and consequences of this phenomenon in detail, as well as provide recommendations for GS owners on compliance with legal requirements. Learn more about how the new economic conditions and changes in legislation affect the fuel market and its participants.
News and publications
By mid-August 2026, the global startup and venture capital market is exhibiting unprecedented dynamics. The first half of the year closed with a record volume of venture funding — approximately $510 billion, with investors pouring around $300 billion into technology companies in the first quarter alone. The main driver remains artificial intelligence: mega-rounds from OpenAI ($122 billion), Anthropic ($30 billion), and xAI ($20 billion) have become some of the largest venture deals in history and set the tone for the entire year.
Media
News and publications
Video
In this episode, Sergey Tereshkin and investor Andrey Rezinkin analyze AI startups: how to choose promising projects and make money from investments in AI. They discuss real examples such as OpenAI, ChatGPT, voice recognition, and DepTech, as well as trends like AGI and lifestyle AI applications.