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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 rise in fuel prices and its availability is becoming an increasingly pressing problem for businesses and the population. The phrase "Fuel takes from place to barrier" reflects the situation where high prices and fuel shortages create significant obstacles for the development and operation of enterprises. Let's explore what this expression means and how to cope with these challenges.
News and publications
The global fuel and energy complex enters the midpoint of the week faced with a rare conjunction of factors: crude oil is swiftly yielding its geopolitical premium, while European gas, in contrast, trades at three-and-a-half-year highs. The pause in the U.S. air campaign against Iran and the initial signals of potential negotiations have reversed the oil market downward. However, the physical logistics through the Strait of Hormuz continue to operate at half of their usual capacity. For investors and oil and fuel companies, this signifies not a return to calm, but a shift in the risk configuration: the war premium is leaving the quotes faster than actual flows of oil, petroleum products, and LNG recover.
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.