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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 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.
News and publications
The influence of the Federal Reserve on the cryptocurrency market is becoming increasingly palpable, and the crypto news from July 4, 2026, is a testament to this. Bitcoin, having experienced a wave of panic among investors, shows a recovery amid expectations of decisions from the U.S. Federal Reserve. At the same time, Bitcoin and Ethereum-based ETFs face capital outflows, indicating shifts in investor preferences. Moreover, the new MiCA (Markets in Crypto-Assets) regulations may significantly impact the regulation of digital assets in the European market. How are these dynamics reflecting on the future of cryptocurrencies as an asset class, and what should we expect from key players like BTC, ETH, XRP, and others? In this issue, we will explore current trends and analyze potential implications for investors and the market as a whole.
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.