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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.
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The State Duma of the Russian Federation has approved new amendments aimed at stimulating the development of the fuel market in Russia. These measures are designed to support domestic producers, reduce prices, and ensure stable supplies. More details about the key changes can be found in our material.
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On July 2, 2026, the cryptocurrency market faced another wave of instability triggered by significant outflows from Bitcoin ETFs. These developments adversely affected the value of major digital assets, including BTC and ETH. Despite attempts at stabilization, such events continue to emphasize the vulnerability of the cryptocurrency sector to market corrections. In particular, outflows from ETFs in previous years create a historical context that today influences the cryptocurrency market in its struggle for resilience and investor trust. Read our detailed analysis of how these changes have impacted other major assets, including stablecoins, and what this means for the future of cryptocurrency investments.
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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.