# Сопутствующие статьи по теме Competition

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

Zoomex Launches Twin Stars Cup Trading Competition With up to $150,000 Prize Pool

Zoomex has launched the "Twin Stars Cup," a global trading competition with a prize pool of up to $150,000. Running from March 17 to March 31, 2026, the event ranks participants based on their cumulative trading volume in USDT perpetual contracts. The top-ranked trader can win up to $18,000, with tiered rewards distributed across multiple leaderboard positions. The prize pool scales with the number of participants. Eligibility requires meeting minimum asset and trading volume thresholds, while institutional and API traders are excluded. Zoomex has implemented measures to ensure fairness, disqualifying participants for activities like wash trading. The competition is part of the platform's efforts to boost global user engagement.

TheNewsCrypto03/20 09:04

Zoomex Launches Twin Stars Cup Trading Competition With up to $150,000 Prize Pool

TheNewsCrypto03/20 09:04

Xiaomi and MiniMax Unleash Major Upgrades Simultaneously, Officially Kicking Off the Agent Pricing War

Chinese AI companies MiniMax and Xiaomi's MiMo have both launched major Agent-focused models, M2.7 and V2-Pro, respectively, within two days in March. Both models rank in the top tier globally on Agent benchmarks but are priced significantly lower than leading Western models—MiniMax at $1.2 per million tokens (1/21 of Claude Opus) and MiMo at $3 (1/8 of Claude Opus). The two represent divergent technical strategies. MiMo-V2-Pro adopts a scale-driven approach with over 1 trillion parameters and a hybrid attention mechanism optimized for long-context and multi-tool agent tasks. In contrast, MiniMax’s M2.7 uses a self-iterative optimization method, autonomously refining its architecture over 100+ cycles to improve performance without disclosing parameter count. Their release rhythms also differ: MiniMax iterates rapidly with four versions in five months, while Xiaomi releases fewer but more substantial upgrades. Notably, Xiaomi debuted V2-Pro anonymously on OpenRouter as "Hunter Alpha," topping the platform’s usage chart before revealing its identity—a first for a Chinese AI model gaining global developer traction through pure performance.

marsbit03/20 08:03

Xiaomi and MiniMax Unleash Major Upgrades Simultaneously, Officially Kicking Off the Agent Pricing War

marsbit03/20 08:03

BlackRock vs. Strategy: Who Will Win the Bitcoin Accumulation Battle?

BlackRock and Strategy (formerly MicroStrategy) are engaged in an unprecedented race to accumulate Bitcoin. As of March 16, 2026, BlackRock’s iShares Bitcoin Trust (IBIT) holds 784,062 BTC, while Strategy holds 761,068 BTC—a gap of 22,994 coins that could close within days given Strategy’s aggressive purchasing pace. BlackRock accumulates Bitcoin indirectly through its IBIT ETF, where investor inflows drive purchases. In contrast, Strategy actively raises capital via debt, equity, and preferred stock offerings to buy and hold Bitcoin directly, with no intention of selling. This competition highlights two distinct models: BlackRock offers a regulated, low-complexity vehicle for institutional exposure, while Strategy employs leverage and corporate strategy for accelerated accumulation. Both are rapidly reducing Bitcoin’s available supply, intensifying market scarcity. Strategy faces higher risks, including significant debt and sensitivity to Bitcoin’s declines, whereas BlackRock’s model is more resilient to sentiment shifts. The outcome symbolizes broader institutional adoption, fueled by regulatory clarity and new accounting rules. Ultimately, both entities reinforce Bitcoin’s growing legitimacy and supply squeeze, impacting all market participants.

marsbit03/20 03:22

BlackRock vs. Strategy: Who Will Win the Bitcoin Accumulation Battle?

marsbit03/20 03:22

Crypto.com cuts 12% workforce as CEO warns AI shift is ‘do or die’

Crypto.com has cut roughly 12% of its workforce as part of a strategic shift toward enterprise-wide AI integration, with CEO Kris Marszalek warning that companies slow to adopt AI risk failure. The layoffs target roles incompatible with an AI-focused direction, following the company's acquisition of AI.com for $70 million. This reflects a broader industry trend where crypto firms are combining cost-cutting with AI-driven efficiency, moving beyond purely market-driven layoffs to structural resets. Similarly, Algorand Foundation reduced its workforce by 25%, citing market pressures, though its cuts appear more reactive than strategic. The trend indicates that crypto layoffs are increasingly tied to technological realignment, with AI integration becoming a key competitive factor.

ambcrypto03/19 19:01

Crypto.com cuts 12% workforce as CEO warns AI shift is ‘do or die’

ambcrypto03/19 19:01

Polymarket acquires Brahma to fix ‘liquidity imbalance’: Report

Polymarket has acquired crypto infrastructure firm Brahma to address liquidity imbalances and improve its on-chain trading systems. While popular markets like elections attract significant activity, niche markets suffer from low participation and unreliable pricing. The acquisition aims to distribute liquidity more evenly and enhance platform efficiency. Despite rapid growth and a valuation of $18–20 billion, driven by the 2024 election cycle, Polymarket faces inconsistent trading activity and a recent drop in market share. Competitor Kalshi, a regulated non-crypto platform, briefly captured 66% market share during the election. Polymarket continues to focus on crypto, with plans for a native token, contrasting with Kalshi’s traditional approach.

ambcrypto03/19 13:02

Polymarket acquires Brahma to fix ‘liquidity imbalance’: Report

ambcrypto03/19 13:02

Meta Continues to Lay Off 20%: An "Efficiency Revolution" in the AI Era or Cost Anxiety?

Meta plans to lay off 20% of its workforce (approximately 16,000 employees), its largest reduction since late 2022, to offset high AI infrastructure costs and enhance AI-driven efficiency. According to Bernstein analyst Mark Shmulik, this move may signal Meta's successful transformation into an "AI-first" company, potentially widening its competitive advantage. The company is investing heavily in AI data centers and talent, and internal performance metrics now emphasize "AI-driven impact." While some suspect "AI greenwashing" to mask financial motives, Shmulik suggests the layoffs could reflect genuine efficiency gains from AI integration. Meta's rising revenue per employee and significant capital expenditure support this shift. If successful, Meta’s restructuring could set a template for AI-powered organizations, prompting industry-wide imitation and reactive overhauls.

marsbit03/17 13:28

Meta Continues to Lay Off 20%: An "Efficiency Revolution" in the AI Era or Cost Anxiety?

marsbit03/17 13:28

Hashdex cuts NCIQ fee to 0.25% as crypto ETF competition intensifies

Hashdex has permanently lowered the management fee for its multi-asset crypto ETF, the Hashdex Nasdaq CME Crypto Index ETF (NCIQ), from 0.50% to 0.25% annually. The change, effective immediately, makes the fund more competitive as issuers use pricing to attract investors in the growing crypto ETF market. Launched in February 2025, NCIQ is the first U.S. multi-asset spot crypto ETF, tracking an index that provides exposure to seven cryptocurrencies: Bitcoin, Ethereum, XRP, Solana, Cardano, Chainlink, and Stellar. This positions it as a diversified alternative to single-asset ETFs. Hashdex stated the fee reduction supports its goal of offering accessible crypto investment products as investor interest in diversified strategies grows. The firm manages approximately $1 billion in assets globally.

ambcrypto03/17 00:02

Hashdex cuts NCIQ fee to 0.25% as crypto ETF competition intensifies

ambcrypto03/17 00:02

Is AI Killing Bitcoin Mining? Here’s The Truth

A new debate suggests AI data centers, as richer buyers of electricity, could threaten Bitcoin mining by outbidding for power. Crypto influencer Ran Neuner argued AI has "killed Bitcoin" by competing for scarce energy, citing higher revenue per megawatt ($200–$500 for AI vs. $57–$129 for Bitcoin) and miner pivots to AI. However, analysts push back. Willy Woo emphasizes Bitcoin’s adaptive difficulty adjustment: if high-cost miners exit, the network adjusts, maintaining security. Daniel Batten calls the claim "nonsense," arguing AI may actually depend on Bitcoin mining for energy monetization during data center construction, using stranded energy, and smoothing demand patterns. He stresses mining economics are nuanced, involving variable costs, heat recycling, and renewable energy opportunities. The article concludes that AI may reshape mining but won’t kill Bitcoin.

bitcoinist03/16 16:32

Is AI Killing Bitcoin Mining? Here’s The Truth

bitcoinist03/16 16:32

Why Is OpenAI Playing Catch-Up with Claude Code?

In the rapidly evolving field of AI coding assistants, OpenAI, which once led the generative AI wave with ChatGPT, has found itself in the unexpected position of playing catch-up against Anthropic’s Claude Code. Through interviews with OpenAI executives, engineers, and developers, the article reveals that OpenAI’s early lead in AI programming—via its Codex project—was deprioritized as the company shifted resources toward ChatGPT and multimodal models. This strategic shift allowed Anthropic, founded by former OpenAI members, to focus intensely on coding capabilities, leading to the successful launch of Claude Code. OpenAI later reorganized internal teams and accelerated development of its AI programming products, such as the reasoning-based model o1 and later o3. Despite these efforts, Claude Code gained significant traction, especially after integration with tools like Cursor, which OpenAI attempted to acquire unsuccessfully. A proposed acquisition of Windsurf also failed due to tensions with Microsoft, OpenAI’s major partner. By late 2025 and early 2026, OpenAI’s Codex began narrowing the gap, with user growth rising to about 40% of Claude Code’s usage. The competition reflects broader industry trends where AI agents are increasingly automating cognitive work, raising questions about the future of software development and white-collar jobs. Despite progress, concerns around safety and societal impact remain as AI coding tools become more powerful and pervasive.

marsbit03/13 07:39

Why Is OpenAI Playing Catch-Up with Claude Code?

marsbit03/13 07:39

Startups That Truly Survive Rely on Only These Two Moats

In the competitive startup landscape, mere ideas are easily replicated. True survival hinges on building one of two core moats: **technological depth** or **capturing timeless human needs first**. Technological moats involve creating deeply integrated, hard-to-replicate systems—like Apple's early iPhone—where hardware, software, and user experience form a cohesive stack. This demands engineering excellence, sovereignty over key infrastructure, and founders deeply embedded in the creation process. Without control over critical components, reliance on external platforms (e.g., APIs, cloud services) risks abrupt obsolescence. Alternatively, startups can win by speed: identifying persistent needs (e.g., Airbnb for lodging, Uber for transportation) and scaling rapidly to harness network effects. Market dominance breeds switching costs, data accumulation, and brand trust, making replication futile. Most failures stem from lacking both moats: easily copied technology without market speed leads to endless competition. Founders must choose—focus on depth for technological advantage or velocity for market capture—and avoid mixing strategies. Ultimately, enduring companies start with one moat and layer both over time, creating systems the world cannot easily replace.

比推03/12 11:36

Startups That Truly Survive Rely on Only These Two Moats