# Сопутствующие статьи по теме AI

Новостной центр HTX предлагает последние статьи и углубленный анализ по "AI", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Who Controls Computing Power, Implicitly Controls the Future of AI: Anastasia, Co-founder of Gonka Protocol

Who Controls Compute, Controls AI's Future: Gonka Protocol Co-Founder Anastasia The centralization of compute power, not just AI models, is the critical power node in AI's future, argues Anastasia Matveeva, co-founder of Gonka Protocol. While public debate focuses on models, true power lies in the underlying infrastructure—access to GPUs, power, and data center capacity. This centralization creates structural barriers to innovation, enforces a rent-extraction model, and introduces systemic fragility. Gonka is a permissionless global network designed to decentralize AI compute. It enables anyone to contribute or access GPU resources via a programmatic, open API. Key to its efficiency is an architecture that minimizes overhead, ensuring most compute is used for actual AI workloads (primarily inference) rather than network maintenance. Rewards and governance are tied to verified compute contribution, not capital stake. The protocol addresses scalability and accessibility by allowing participants of all sizes to join without permission, with influence proportional to their compute power. It supports the emerging AI agent economy with transparent, dynamic pricing and reliable, verifiable computation. While currently not optimized for strict data sovereignty, its decentralized design avoids data accumulation, and its governance allows for future evolution to meet regulatory demands. The urgency for such decentralized solutions is high to prevent a calcified AI future dominated by a few infrastructure gatekeepers.

marsbit03/03 07:58

Who Controls Computing Power, Implicitly Controls the Future of AI: Anastasia, Co-founder of Gonka Protocol

marsbit03/03 07:58

Deciphering the Dispute Between Anthropic and the War Department: What Does Trump Intend?

The article reflects on the decline of the American republic, drawing a metaphor between the gradual process of death—observed during the author’s father’s passing—and the slow erosion of democratic institutions. It examines the recent conflict between AI company Anthropic and the U.S. Department of War (DoW) as a symptom of this decay. Under both Biden and Trump administrations, Anthropic’s Claude AI was approved for use in classified environments, subject to two policy restrictions: no mass surveillance of Americans and no use in fully autonomous lethal weapons. The Trump administration later reversed its stance, opposing the idea of a private company imposing policy limits on military technology and threatening to designate Anthropic a "supply chain risk"—a move typically reserved for foreign-adversary companies. The author argues that this response reflects a broader breakdown in governance: the increased use of arbitrary state power, the decline of legislative process, and the erosion of property rights and predictable rule-of-law order. The confrontation raises fundamental questions about who should control advanced AI—private actors, the state, or yet-to-be-defined public mechanisms. While not causing institutional decline, the episode signals deeper dysfunction: the state’s willingness to coerce private entities and the blurring line between democratic oversight and government overreach. The author warns against equating "democratic control" with "government control" and calls for vigilance to protect civil liberties as AI and governance continue to evolve.

marsbit03/03 06:08

Deciphering the Dispute Between Anthropic and the War Department: What Does Trump Intend?

marsbit03/03 06:08

When Financing Becomes the Engine: OpenAI's Mega-Funding and the Capital Restructuring and Competitive Divergence of the Global AI Industry

OpenAI's record-breaking financing round signals a fundamental shift in the global AI industry, moving the sector into a capital-intensive phase. Originally a non-profit, OpenAI transitioned to a capped-profit model to sustain massive computational demands, evolving into a hybrid entity balancing mission and commercialization. Key competitors follow divergent paths: Google relies on internal resources and integrated ecosystems; xAI leverages social media integration; Anthropic prioritizes safety with backing from Amazon and Google; and Meta promotes open-source models. OpenAI’s strategy is capital-driven and enterprise-focused, depending heavily on external funding and partnerships with players like Microsoft, Amazon, and Nvidia. The industry is splitting between scale-driven approaches (requiring continuous investment) and efficiency-focused innovation. High computational costs—spanning GPUs, energy, and capital—are raising entry barriers, potentially leading to a centralized structure with few foundational model providers and many application-layer companies. OpenAI’s revenue models include API services and enterprise solutions, but sustainability depends on whether income can offset soaring compute expenses. Geopolitical factors like chip export controls and data policies will further shape competition. The central question remains whether AI will become a monopolized infrastructure or foster an open, innovative ecosystem. OpenAI’s funding moves are redefining industry boundaries and power structures.

marsbit03/03 04:18

When Financing Becomes the Engine: OpenAI's Mega-Funding and the Capital Restructuring and Competitive Divergence of the Global AI Industry

marsbit03/03 04:18

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