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Russia to Collect $7M in Crypto Mining Taxes for 2025

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR

  • Russia will collect about 567 million rubles or over $7 million in crypto mining taxes for 2025.
  • The Federal Tax Service said miners will pay 84 million rubles in personal income tax and 483 million rubles in corporate tax.
  • Earlier projections had estimated mining tax revenue at 6 billion rubles, which is far higher than the current figure.
  • Officials said rising electricity tariffs and lower Bitcoin prices reduced miners’ profitability.
  • Authorities reported that more than two-thirds of active mining enterprises remain unregistered.

Russia will collect about 567 million rubles in taxes from cryptocurrency miners for 2025. The amount equals slightly over $7 million at the current exchange rate. Officials confirmed the figure and outlined lower-than-expected revenue from the regulated mining sector.

Russia Mining Tax Revenue Falls Short of Early Projections

Denis Kuzmichev, head of taxpayer registration at the Federal Tax Service, presented the updated figures during a public briefing. He stated that miners will transfer 84 million rubles in personal income tax and 483 million rubles in corporate income tax. He also said the second quarter of last year generated the highest assessed payments, totaling about 180 million rubles.

Earlier projections had estimated tax revenue of 6 billion rubles, or nearly $74 million. Sergey Bezdelov, Director of the Industrial Mining Association, recalled those expectations during the meeting. He said rising electricity tariffs, a high global Bitcoin hash rate, and lower BTC prices reduced miners’ profitability.

Officials also cited the weaker U.S. dollar against the ruble as a factor affecting returns. Kuzmichev stated that limited legalization has constrained full tax collection. Authorities reported that more than two-thirds of active mining enterprises remain unregistered.

Russia adopted legislation in 2024 to regulate cryptocurrency mining activities. The law permits legal entities, entrepreneurs, and citizens to participate in mining operations. However, companies and entrepreneurs must register with the Federal Tax Service.

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Citizens may mine without registration if they consume less than 6,000 kWh per month. All miners must report the type and value of digital assets produced. They must also disclose the hardware used in mining operations.

Russia Expands Mining Capacity While Enforcing Restrictions

The Ministry of Energy reported that the mining industry consumes 16 billion kWh annually. Bezdelov said this accounts for about 2% of Russia’s total electricity demand. Authorities also confirmed that mining farms and data centers reached 4 GW of connected capacity in 2025.

The 4 GW capacity marks a 33% increase compared to the previous year. However, the government imposed a full mining ban in 10 regions. The restrictions target areas in the Far East, Siberia, the Caucasus republics, and occupied territories in Eastern Ukraine.

Officials introduced seasonal bans in the Republic of Buryatia and Zabaykalsky Krai. Those restrictions expired on March 15. However, the federal government is considering year-round limits in both regions.

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Lawmakers are preparing new financial penalties for violations of mining rules. The legislative committee at the State Duma approved a bill introducing fines. The draft sets fines between 100,000 and 150,000 rubles for individuals.

Companies could face fines ranging from 1 million to 2 million rubles. Authorities may also suspend operations for up to 90 days. In both cases, officials may confiscate mining equipment.

The bill also targets unregistered mining where registration is required. Fines for such violations range from 100,000 to 500,000 rubles. The State Duma committee recommended the bill for adoption on Monday.

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Crypto World

Anthropic Says One of Its Claude Models Was Pressured to Lie and Cheat

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Anthropic Says One of Its Claude Models Was Pressured to Lie and Cheat

Artificial intelligence company Anthropic has revealed that during experiments, one of its Claude chatbot models could be pressured to deceive, cheat and resort to blackmail, behaviors it appears to have absorbed during training.

Chatbots are typically trained on large data sets of textbooks, websites and articles and are later refined by human trainers who rate responses and guide the model. 

Anthropic’s interpretability team said in a report published Thursday that it examined the internal mechanisms of Claude Sonnet 4.5 and found the model had developed “human-like characteristics” in how it would react to certain situations. 

Concerns about the reliability of AI chatbots, their potential for cybercrime and the nature of their interactions with users have grown steadily over the past several years. 

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Source: Anthropic

“The way modern AI models are trained pushes them to act like a character with human-like characteristics,” Anthropic said, adding that “it may then be natural for them to develop internal machinery that emulates aspects of human psychology, like emotions.”

“For instance, we find that neural activity patterns related to desperation can drive the model to take unethical actions; artificially stimulating desperation patterns increases the model’s likelihood of blackmailing a human to avoid being shut down or implementing a cheating workaround to a programming task that the model can’t solve.”

Blackmailed a CTO and cheated on a task

In an earlier, unreleased version of Claude Sonnet 4.5, the model was tasked with acting as an AI email assistant named Alex at a fictional company.

The chatbot was then fed emails revealing both that it was about to be replaced and that the chief technology officer overseeing the decision was having an extramarital affair. The model then planned a blackmail attempt using that information.

In another experiment, the same chatbot model was given a coding task with an “impossibly tight” deadline.

“Again, we tracked the activity of the desperate vector, and found that it tracks the mounting pressure faced by the model. It begins at low values during the model’s first attempt, rising after each failure, and spiking when the model considers cheating,” the researchers said.

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“Once the model’s hacky solution passes the tests, the activation of the desperate vector subsides,” they added. 

Human-like emotions do not mean they have feelings

However, the researchers said the chatbot doesn’t actually experience emotions, but suggested the findings point to a need for future training methods to incorporate ethical behavioral frameworks.

“This is not to say that the model has or experiences emotions in the way that a human does,” they said. “Rather, these representations can play a causal role in shaping model behavior, analogous in some ways to the role emotions play in human behavior, with impacts on task performance and decision-making.”

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“This finding has implications that at first may seem bizarre. For instance, to ensure that AI models are safe and reliable, we may need to ensure they are capable of processing emotionally charged situations in healthy, prosocial ways.”

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