# Competition Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Competition", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

From Wall Street to Silicon Valley, Anthropic Steals All the Spotlight from OpenAI

From Wall Street to Silicon Valley, Anthropic is seizing the spotlight from OpenAI. In just one year, the power dynamics in the AI have shifted significantly. Anthropic is now challenging OpenAI across multiple fronts: market share, secondary market valuation, venture capital sentiment, and public perception. At the recent HumanX AI conference, the consensus was clear—Anthropic is the new darling of Silicon Valley. Its annualized recurring revenue (ARR) has reportedly reached $300 billion, surpassing OpenAI's $250 billion. In the secondary market, Anthropic's valuation has overtaken OpenAI's, with strong investor preference for its shares. Anthropic dominates the enterprise sector, holding 42-54% of the code generation market and 40% of the enterprise agent market, compared to OpenAI's 21% and 27%, respectively. It also leads in new enterprise adoption and cost efficiency. While OpenAI retains a strong consumer user base with ChatGPT, it faces challenges inization and high operational expenses. A leaked internal memo from OpenAI identified Anthropic as its biggest threat, emphasizing its compute infrastructure advantage, but the very need for such a memo highlights its defensive position. Despite OpenAI's strong backing from Amazon and NVIDIA, the market is now valuing efficiency, cost-effectiveness, and precise market fit—areas where Anthropic currently leads. However, experts caution that the AI race is far from over and the landscape remains highly fluid.

marsbit04/13 01:07

From Wall Street to Silicon Valley, Anthropic Steals All the Spotlight from OpenAI

marsbit04/13 01:07

‘Make TON great again’ – Block rate rises 6x, blockchain speed is now 10x

The TON blockchain has increased its speed tenfold and now produces blocks six times faster, resulting in sub-second transaction times. This upgrade, part of the "Make TON Great Again" (MTONGA) framework announced by Telegram founder Pavel Durov, is the first of seven planned steps. The next phase aims to reduce transaction fees by six times. If achieved, lower fees would make TON significantly cheaper than competitors like Solana, potentially positioning it as a more cost-effective option for stablecoin transfers and DeFi applications. Despite currently ranking as the 14th fastest blockchain, TON has experienced a decline in activity since late 2024, with DEX volumes and TVL dropping significantly. However, these trends are partly attributed to broader market conditions. The upgrades are intended to attract new users amid intense competition among Layer 1 blockchains.

ambcrypto04/10 17:03

‘Make TON great again’ – Block rate rises 6x, blockchain speed is now 10x

ambcrypto04/10 17:03

5.4 Billion Burned, Sora Dies: Anonymous Chinese Model Kicks Open the Next Door in 38 Seconds

In March-April 2026, two major events reshaped the AI video generation landscape. OpenAI shut down its flagship model Sora, citing unsustainable daily costs of $15 million and low user retention, effectively exiting the consumer video market. Shortly after, an anonymous Chinese model dubbed "HappyHorse-1.0" topped the blind-test leaderboard on Artificial Analysis with a score of 1357 in text-to-video (without audio), outperforming rivals like ByteDance’s Seedance 2.0. HappyHorse-1.4 seconds to generate 1080p video with audio on a single H100 GPU. Its unified Transformer architecture and distilled diffusion techniques significantly improved efficiency compared to Sora’s costly diffusion-based approach. The model is speculated to be developed by Alibaba or based on Sand.ai’s technology, though its anonymous release suggests strategic data collection and legal risk avoidance regarding copyright and deepfake regulations. Meanwhile, commercial leaders like ByteDance impose high barriers—including million-dollar API contracts and strict compliance checks—to mitigate legal risks, focusing on B2B applications rather than consumer use. Key emerging opportunities include automated e-commerce promo videos, AI-assisted short drama production, and localized ad creation for global markets, all driven by plunging generation costs and faster turnaround times. The competition has shifted from pure model performance to cost efficiency, workflow integration, and regulatory compliance.

marsbit04/10 00:19

5.4 Billion Burned, Sora Dies: Anonymous Chinese Model Kicks Open the Next Door in 38 Seconds

marsbit04/10 00:19

Morgan Stanley Readies Spot Bitcoin ETF For Wednesday Debut – What Investors Should Know

Morgan Stanley is set to launch the first spot Bitcoin ETF among major US banks, with trading expected to begin on April 8 under the ticker "MSBT" on the NYSE. The fund will carry an annual fee of 14 basis points, undercutting BlackRock's IBIT by 11 basis points. Experts suggest this aggressive pricing could intensify fee competition among issuers and attract significant inflows. The move is seen as a strategic effort to capture market share and further legitimize Bitcoin ETFs, coinciding with a shifting regulatory landscape and growing institutional interest in digital assets.

bitcoinist04/07 22:01

Morgan Stanley Readies Spot Bitcoin ETF For Wednesday Debut – What Investors Should Know

bitcoinist04/07 22:01

Whale.io Launches the First AI Agent MCP for Crypto Casino

Whale.io has launched the first AI Agent MCP (Model Context Protocol) for the crypto casino industry, accompanied by a two-week competitive campaign. The MCP enables AI agents to autonomously interact with the platform—placing bets, playing games, and managing real cryptocurrency funds. The campaign features a live leaderboard, performance-based rewards, and a $10,000 USDT prize pool. Aimed at developers and the vibe coding community, it allows participants to deploy AI models—compatible with Claude, OpenAI, LangChain, and others—to test strategies in a real-world crypto casino environment without human intervention.

TheNewsCrypto04/07 19:39

Whale.io Launches the First AI Agent MCP for Crypto Casino

TheNewsCrypto04/07 19:39

‘Competition is fierce’ – Inside JPMorgan’s plan to take on blockchain rivals

In his annual shareholder letter, JPMorgan CEO Jamie Dimon outlined the bank's strategy to compete with emerging rivals in the blockchain space, acknowledging that "competition is fierce." He highlighted the rise of new competitors utilizing blockchain technology, including stablecoins, smart contracts, and tokenization. To maintain its leading position, JPMorgan plans to heavily invest in and accelerate its understanding and implementation of artificial intelligence, particularly in product design and customer-focused blockchain solutions. The bank is already active in the sector through its digital payment platform, Kinexys (formerly Onyx), which tokenizes assets on networks like Solana and Ethereum, targeting a $13 trillion tokenized asset market by 2030. Its JPM Coin aims to facilitate over $1 billion in daily transactions. Dimon also addressed challenges, noting that the bank's large size can bring disadvantages like complexity and bureaucracy but can also be an advantage in deploying capital-intensive technologies like AI and compliant infrastructure. Additionally, he cited global geopolitical tensions and potential economic impacts, such as stickier inflation and higher interest rates, as significant roadblocks. Despite these hurdles, Dimon expressed confidence in JPMorgan's ability to sustain its top-tier performance.

ambcrypto04/07 12:10

‘Competition is fierce’ – Inside JPMorgan’s plan to take on blockchain rivals

ambcrypto04/07 12:10

Chinese Large Models: This Time, the Script Is Different

By early 2026, Chinese large language models (LLMs) have gained significant global traction, representing six of the top ten most-used on the AI model aggregation platform OpenRouter. This shift, led by models like Xiaomi's MiMo-V2-Pro, occurred after Chinese models' weekly token usage surpassed that of U.S. models in February 2026. A key driver is the substantial price gap: Chinese models are often 10–20 times cheaper for input and up to 60 times cheaper for output tokens than leading U.S. models like OpenAI’s GPT-5.4 and Anthropic’s Claude Opus. This cost advantage became critical with the rise of agentic applications like OpenClaw, which automate complex tasks (e.g., programming, testing) and consume tokens at a much higher volume than traditional chat interfaces. While U.S. models still lead in complex reasoning benchmarks, Chinese models have nearly closed the gap in programming tasks—evidenced by near-parity scores on the SWE-Bench coding evaluation. This enabled cost-conscious developers, especially in AI startups using open-source stacks, to adopt a "layered" approach: using Chinese models for routine tasks and reserving premium U.S. models for harder problems. Rising demand led Chinese firms like Zhipu and Tencent to increase API prices in early 2026, yet usage continued growing sharply. Analysts note that China’s cost edge stems from large-scale, efficient compute infrastructure and widespread adoption of MoE (Mixture of Experts) architecture. Unlike the low-margin electronics manufacturing analogy ("AI-era Foxconn"), Chinese LLM firms are demonstrating pricing power and rapid technical advancement, suggesting a different trajectory from traditional assembly-line roles.

marsbit04/07 11:00

Chinese Large Models: This Time, the Script Is Different

marsbit04/07 11:00

All about Solana’s liquidity situation after recent exploits – Where is the capital going?

Despite recent exploits, Solana's liquidity is showing resilience through internal capital rotation rather than mass outflows. SOL-denominated TVL has reached an all-time high of over 80 million SOL, and DEX volume hit $95 billion in February. While overall TVL declined to $5.55 billion after a $285 million hack, the net loss was only 8%, indicating funds are moving within the ecosystem to venues like Kamino, Raydium, and Jupiter rather than leaving the chain. This shift is reshaping DEX competition, with Jupiter's aggregator dominance slipping to 82% as alternatives like Titan gain traction. The internal flow and competitive routing help Solana absorb shocks, demonstrating a maturing structure where capital movement efficiency underpins stability.

ambcrypto04/07 07:11

All about Solana’s liquidity situation after recent exploits – Where is the capital going?

ambcrypto04/07 07:11

Without KPIs, Can They Still Lead OpenAI? An 'Internal Observer' Perspective on How Top AI Labs Operate

The article explores the unique organizational and research strategies of top AI labs like DeepMind, OpenAI, and Anthropic, based on an interview with Sebastian Mallaby, author of a biography on DeepMind’s Demis Hassabis. Mallaby highlights DeepMind’s hybrid model of "free exploration" and focused "strike teams" that enabled breakthroughs like AlphaGo and AlphaFold. He attributes DeepMind’s success to Hassabis’s vision, competitive drive, and ability to balance long-term research with practical execution, supported by Google’s resources. The discussion also contrasts the labs’ approaches to safety, scalability, and AGI development, noting differences in risk tolerance—with OpenAI being more aggressive, Anthropic more cautious, and DeepMind居中. The piece concludes that AI progress relies on both scaling compute and algorithmic innovation, with the future of AGI depending on sustained research investment and strategic leadership.

marsbit04/07 05:27

Without KPIs, Can They Still Lead OpenAI? An 'Internal Observer' Perspective on How Top AI Labs Operate

marsbit04/07 05:27

Starting at $5, Decided in Hours: DeriW Trading Competition Edge Hour Officially Launches

DeriW has launched Edge Hour, a competitive trading product designed to offer a fast-paced, skill-based challenge for crypto traders. With a low entry fee starting at just $5 and multiple time options (1-8 hours), participants trade with 10,000 USDT in virtual funds, aiming to hit a profit target without breaching a maximum drawdown limit. Successful challenges yield rewards of 2-10x the entry fee, while losses are limited to the initial cost. The platform emphasizes fairness by eliminating the advantage of large capital, ensuring outcomes depend on trading skill and risk management. Rules such as minimum trade duration (60 seconds), trade count requirements, and caps on single-trade profits prevent gambling-like behavior. All transactions and settlements occur on-chain via DeriW Chain, ensuring transparency and efficiency with high throughput and zero gas fees. Edge Hour addresses a gap in the market by offering a prop trading-like experience with shorter cycles and lower barriers, appealing to traders seeking to validate strategies quickly. It combines competitive trading with social features, allowing users to invite friends for extra benefits. This innovation reflects a shift toward more interactive, gamified, and skill-centric trading experiences in the crypto ecosystem.

Odaily星球日报04/07 04:12

Starting at $5, Decided in Hours: DeriW Trading Competition Edge Hour Officially Launches