Russian Organizes Underground Crypto Farm in a Container

cryptonews.ruPubblicato 2026-07-28Pubblicato ultima volta 2026-07-28

Introduzione

A Russian entrepreneur established an underground cryptocurrency mining farm inside a metal container in a residential area of Shelekhov, Irkutsk Oblast. According to the regional prosecutor's office, the operation, set up in February, involved 27 mining devices. Investigators allege the equipment was illegally connected to the power grid, bypassing electricity meters, to mine cryptocurrency without paying for the substantial energy consumed. The estimated damages to the power supply company exceed 23 million rubles. Authorities have shut down the illegal farm and seized all the equipment. A criminal case has been initiated for property damage through fraud or abuse of trust, which carries a maximum penalty of five years in prison and a fine. This incident occurs in a region where cryptocurrency mining faces restrictions. Since April 7, 2025, a ban on mining has been in effect across 29 municipalities in southern Irkutsk Oblast, including Shelekhov and its district, applying to individuals, entrepreneurs, and legal entities. Previously, police in the region discovered another illegal mining farm located in a forest belt near the village of Stolbova.

According to the prosecutor's office of the Irkutsk region, in February, an entrepreneur installed a metal container in one of the microdistricts of Shelekhov, where he placed 27 cryptocurrency mining devices. The investigation believes the equipment was connected to the power grid bypassing metering devices, allowing the use of electricity without payment.

The damage to the energy supply organization is estimated at over 23 million rubles. The operation of the illegal mining farm has been halted, and law enforcement officials have seized the equipment.

Investigators have initiated a criminal case on causing property damage to an owner or other possessor of property through deception or abuse of trust (Part 1 of Article 165 of the Criminal Code of the Russian Federation). The maximum punishment under this article is five years in a penal colony and a fine of 80,000 rubles or in the amount of six months' income from mining.

Since April 7, 2025, a ban on mining has been in effect in 29 municipalities in the south of the Irkutsk region. The restrictions apply to individuals, individual entrepreneurs, and legal entities, including registered miners. The list of territories where cryptocurrency mining is prohibited includes Shelekhov and the Shelekhovsky district.

Earlier in the Irkutsk region, police officers discovered an illegal mining farm in a forest belt near the village of Stolbova. The inspection began after representatives of the energy supply company reported suspicious connections to the power grid to law enforcement.

Domande pertinenti

QWhat illegal activity did the prosecutor's office in Irskutsk Oblast accuse an entrepreneur of organizing?

AHe organized an underground cryptocurrency mining farm inside a metal container in Shelekhov.

QWhat was the estimated financial damage to the energy supply company according to the article?

AThe damage was estimated at over 23 million rubles.

QWhat specific criminal charge was filed in connection with the illegal mining farm?

AA criminal case was initiated under Part 1 of Article 165 of the Russian Criminal Code for causing property damage through deceit or abuse of trust.

QWhere, besides the container in Shelekhov, was another illegal crypto mining farm recently discovered in Irkutsk Oblast?

AAnother illegal mining farm was discovered in a forest belt near the village of Stolbova.

QWhat regional restriction is mentioned in the article regarding cryptocurrency mining in southern Irkutsk Oblast?

ASince April 7, 2025, cryptocurrency mining has been banned in 29 municipalities of southern Irkutsk Oblast, including Shelekhov and Shelekhovsky District.

Letture associate

Lei Jun Earns 7 Billion in One Day from CXMT's IPO? Xiaomi Executive Responds

On July 28th, Changxin Technology's stock price on the Sci-Tech Innovation Board experienced minor fluctuations. The company had made a historic market debut the previous day, becoming the first A-share stock to record a single-day trading volume exceeding 1 trillion yuan. This led to significant paper gains for its strategic investors. Among them, Xiaomi's wholly-owned subsidiary was allocated 18.24 million shares with an initial investment of approximately 158 million yuan. Reports estimated a paper profit of 717 million yuan for Xiaomi founder Lei Jun based on his shareholding structure. However, a Xiaomi executive clarified that this was a corporate investment and should not be conflated with personal wealth. Other major beneficiaries included Alibaba and Nio. Alibaba, an early investor, held nearly a 5% stake through two entities, with an estimated paper gain exceeding 160 billion yuan. Nio, participating in the strategic placement, also saw substantial paper returns. Additionally, state-owned banks and insurance institutions that invested in Changxin recorded potential gains in the hundreds of billions. Conversely, companies like Country Garden reportedly missed out on nearly 50 billion yuan in potential gains after divesting their stakes before the IPO due to liquidity pressures. The article notes that these are paper profits based on the listing price, as the allocated shares are subject to lock-up periods, and final realized gains will depend on future stock performance. An employee from Changxin Technology commented that ordinary staff remain focused on their salaries and benefits rather than the market hype.

marsbit6 min fa

Lei Jun Earns 7 Billion in One Day from CXMT's IPO? Xiaomi Executive Responds

marsbit6 min fa

Selling Tokens or Selling Outcomes: Several Paradoxes of the AI Business Model

"The Token vs. Outcome Sale: Key Paradoxes in the AI Business Model By mid-2026, the AI industry shows rapid growth in revenue and token usage, yet the underlying business models differ significantly. This article analyzes four structural paradoxes defining the current landscape, all pointing to the commoditization of intelligence and the concentration of profits in few segments. **The Cost Paradox: Cheaper Tokens, Heavier Bills** Despite a >95% price drop for equivalent AI capability since 2023, total spending has skyrocketed due to the Jevons Paradox: lower prices expand usage into previously uneconomical tasks. Furthermore, the shift to autonomous agents operating 24/7 multiplies consumption. However, efficiency gains often remain unrealized due to unchanged organizational workflows (the Solow Paradox). The focus is shifting from optimizing token price to optimizing the task itself. **The Hierarchy Paradox: The App is King vs. The App is Dead** While conventional wisdom holds that value accrues at the application layer, the AI stack is inverted. Infrastructure (chips) captures ~70% of industry revenue and ~80% of gross profit, while application-layer margins are thin (0-30%). Fast-evolving base models threaten "thin" apps. Sustainable applications are those that embed intelligence into specific contexts, possessing private data, workflows, or delivery capabilities that become more valuable as the base model improves. **The Responsibility Paradox: Profit Follows Accountability** Growth rates alone don't guarantee profit. A key differentiator is a company's willingness and ability to take responsibility for specific outcomes. Selling by the token competes for IT budgets; selling by the outcome (e.g., a resolved support ticket) taps into larger human labor budgets. Low-responsibility, high-volume tasks (e.g., generic客服) face commoditization. High-stakes, regulated domains (e.g., law, healthcare) where vendors assume heavier liability for results command higher margins, as seen with companies like Harvey in legal tech. **The Open-Source Paradox: Open Wins Traffic, Closed Wins Revenue** Open-source models dominate in usage share and developer adoption, often being 5-20x cheaper. However, closed-source models still capture the majority of enterprise spending (~89%). Enterprises pay a premium for closed-source reliability, support, compliance, and accountability. The total cost of ownership (TCO) is converging as closed-source prices fall faster than open-source builds trust, leading to hybrid deployments. Profit is migrating from the model layer itself to upstream (compute) and downstream (orchestration, data, services)."

marsbit6 min fa

Selling Tokens or Selling Outcomes: Several Paradoxes of the AI Business Model

marsbit6 min fa

Ethereum's 2030 Blueprint: 200x Speed Increase, Quantum-Resistance, and Native Privacy

Ethereum's 2030 Roadmap: 200x Speed, Quantum-Resistant, Native Privacy Ethereum, now in its 11th year, is guided by the "Lean Ethereum" vision, a unified development blueprint aiming to streamline the network. This plan, outlined in the evolving "Strawmap" document, targets five core goals for 2030. **1. Fast L1:** Ethereum aims for near-instant finality and faster block times. By using Zero-Knowledge (ZK) proofs to aggregate validator votes, final confirmation could drop from ~15 minutes to seconds. Block times are slated to decrease from 12 seconds to 6 seconds (2027-28) and eventually 4 seconds (2029-30). The minimum staking requirement may also lower to 1 ETH, enhancing decentralization. **2. 1 Billion Gas L1:** To break the scalability-decentralization trade-off, L1 ZK-EVM will replace redundant transaction execution with ZK proofs. This allows nodes (even on phones) to verify blocks without re-running computations, paving the way to increase L1 throughput ~200x to 1 billion gas per second. **3. Trillion-Gas L2:** Ethereum will become a high-capacity settlement layer for Layer 2 networks (L2s). Planned upgrades, like PeerDAS and subsequent optimizations, target 1 GB per second of data bandwidth for L2s (Blobs), enabling a massive ecosystem of high-throughput rollups for specialized use cases. **4. Quantum-Resistant L1:** To counter future quantum computing threats, Ethereum plans to migrate its cryptographic signatures (ECDSA, BLS) to quantum-resistant, hash-based schemes. This multi-upgrade transition is targeted for completion by 2029, securing the network in the post-quantum era. **5. Privacy-Native L1:** For the first time, native transaction privacy is an official goal. Using ZK proofs, transactions could hide sender, receiver, and amount while proving compliance with rules. This infrastructure is tentatively planned, though details remain fluid and subject to regulatory landscapes. Driven by a broader ecosystem beyond the core Foundation, this ambitious roadmap seeks to make Ethereum faster, more scalable, quantum-secure, and private, while preserving its core tenets of neutrality and trustlessness. All plans remain subject to ongoing research, audits, and community consensus.

marsbit20 min fa

Ethereum's 2030 Blueprint: 200x Speed Increase, Quantum-Resistance, and Native Privacy

marsbit20 min fa

Trading

Spot
活动图片