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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.
News and publications
On July 3, 2026, the cryptocurrency market is experiencing significant fluctuations. Bitcoin is hovering at a critical level of $60,000, causing concern among investors. Despite positive forecasts for cryptocurrencies and support from major players, outflows from ETFs continue to weigh on the market, creating uncertainty among traders. In this context, stablecoins such as USDT and USDC are gaining increased attention as a potential safe haven. Investors are actively discussing the possibility of transitioning to stablecoins as a primary risk mitigation strategy. Additionally, considerable focus is being placed on new projects in the digital assets space, such as Open USD, which could shift market dynamics. Upcoming news regarding cryptocurrency sector regulations is expected, which may significantly impact investments in cryptocurrencies and perceptions of stablecoins.
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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.