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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
The prices at gas stations remain an important topic for many motorists, and questions about what awaits them at the end of summer and in the autumn months are becoming even more relevant. Experts from the "Russian Gazette" conducted a market analysis and made forecasts for the upcoming period. Sharp fluctuations driven by various factors—from currency exchange rate changes to alterations in fuel supply—affect fuel costs. Find out what changes to expect and what may contribute to the stabilization of prices for gasoline and diesel fuel in the coming months. We have gathered insights from leading analysts and are ready to share this information with you.
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.