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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 months, the issue of diesel fuel exports has reached a critical point. The current economic conditions and unpredictable changes in global markets compel the government to take radical measures. Against this backdrop, rumors of a potential extension of the diesel export ban have circulated. Such actions could significantly impact the domestic market and the lives of many citizens. In this article, we will explore why the government is forced to take these measures and how long this ban may be extended. We will uncover the reasons behind the possible decisions and how they may affect the overall economic situation.
News and publications
The escalation of relations between the USA and Iran has led to a sharp rise in oil and gas prices, significantly impacting global markets. On September 3, 2026, Brent oil surpassed $95 per barrel, while natural gas in Europe soared to $900 per thousand cubic meters. These changes are related to growing uncertainty and concerns about future supply. How will this affect the global economy and how will importing countries adapt? We analyze the situation, consider possible scenarios, and provide expert comments in our new article addressing the consequences of this escalating conflict.
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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.