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Michael Saylor: Strategy and Strive, as Bitcoin treasury companies, are not in zero-sum competition and can jointly expand the digital credit market

Founder of Strategy Michael Saylor posted that he hopes Strive and all well-managed "Bitcoin-driven digital credit" issuers achieve success.Strategy is built on the same foundation as Strive: BTC belongs to digital capital, STRC and SATA belong to digital credit, and MSTR and ASST belong to digital equity. The securities structures and decisions of both parties are independent, although they will compete for individual capital allocations, they can also jointly expand long-term market opportunities.Saylor cited SIFMA data stating that by the end of 2025, the global stock market value will reach $157.8 trillion, and the fixed income debt balance will reach $160.7 trillion, with 0.1% of either market being approximately $160 billion.He proposed a threefold amplification mechanism: corporate financing to purchase supply-constrained Bitcoin can increase demand and improve the asset coverage of related companies; more issuers launching digital credit products can accumulate research, trading, and liquidity foundations, reducing the premium investors demand due to unfamiliarity, and potentially narrowing credit spreads and financing costs; more companies proving that this model can operate in different market environments may enhance market recognition of digital equity.He also emphasized that a single purchase does not guarantee Bitcoin appreciation, Bitcoin itself does not pay interest, and the profit margin between long-term asset returns and financing costs must be obtained through disciplined management; more issuers will not automatically lead to higher valuations.This model depends on a robust capital structure, prudent liquidity, transparent disclosure, and useful products. Weak issuers may undermine confidence in the entire category, while more credible issuers can meet institutional diversification investment needs and attract funds that would not otherwise enter the category.

first_img Jensen Huang: AI model distillation is competition, not theft

NVIDIA CEO Jensen Huang stated in an interview with CNBC's "Squawk Box" on Monday that training or learning with competitors' products is part of competition, and he refused to label AI model distillation as theft. When asked if distillation is not robbery, Huang said that it is competition. He mentioned that people can test others' products, and NVIDIA's products are sometimes taken apart to the bare bones to understand how they work; he would prefer that others do not learn from NVIDIA products, but competition makes everything better. If one does not want others to use their products, they can identify customers and discontinue services.U.S. officials have accused Chinese AI companies of using distillation, which involves training models with outputs from other models, extracting capabilities from U.S. systems. U.S. Treasury Secretary Scott Bansen stated in July that this practice is theft and threatened to impose sanctions on overseas companies that utilize distillation to extract capabilities from U.S. models. The White House did not immediately respond to CNBC's request for comment, and U.S. officials are considering measures against overseas companies that use distillation.Earlier this month, the U.S. Cybersecurity and Infrastructure Security Agency accused Chinese AI companies of conducting industrial-scale knowledge distillation activities, violating the terms of use for U.S. companies. AI company Anthropic stated earlier this month that it found Alibaba's Qwen series models and DeepSeek engaging in illegal distillation. The Chinese side denied these accusations.

Zhao Changpeng: Does not oppose Hyperliquid, welcomes more DEX to participate in competition

Binance founder Changpeng Zhao stated during his appearance on the podcast "When Shift Happens" that he does not oppose Hyperliquid and welcomes more centralized and decentralized trading platforms to participate in innovation, as the industry is far from saturated. He estimates that the proportion of the population holding some form of cryptocurrency is about 5% to 15%, but when calculated based on individual wealth allocation, the penetration rate of cryptocurrency assets may be less than 1%, indicating that the industry is still in its early stages.Changpeng Zhao mentioned that some members of the Hyperliquid community are trying to establish their own community by criticizing centralized trading platforms and Binance, but he views this as normal competition and does not oppose the project. Previously, Trump mentioned Hyperliquid, which is very good for the industry. Assets like HYPE, BNB, and Bitcoin could all benefit from the overall growth of the industry.Changpeng Zhao also pointed out that first movers do not necessarily become the long-term biggest winners. Google, Facebook, and Binance were not the first products in their respective fields, and later entrants can often further optimize based on the groundwork laid by the pioneers. Although he holds a significant amount of Binance shares and BNB, the centralized trading platform is just part of his asset allocation; rather than expanding a single platform, he hopes to promote the growth of the entire cryptocurrency industry.

Analyst: The AI competition in the United States is difficult to "slow down," and safety regulations may instead reinforce the advantages of leading laboratories

Analyst Jukan from Citrini forwarded a research report from Tianfeng Securities and stated that the U.S. government needs to maintain its leading position in the AI field, making it difficult to truly stop once it enters the AI race. Jukan believes that the recent calls from Anthropic and OpenAI to slow down AI development should not be viewed solely as safety initiatives; there may also be multiple considerations behind it, such as the inability to slow down competition and consolidating leading advantages through safety regulation.Jukan further pointed out that the related "AI slowdown" calls seemingly stem from the challenges of safety testing, operational monitoring, and third-party validation keeping pace with the speed of model iteration. In the short term, this may suppress market sentiment in the AI sector and lower market expectations for the next generation of models; another possibility is that the industry remains optimistic about AI in the long term but wishes to delay the next round of significant R&D investment, prioritizing the commercialization of existing products and reducing infrastructure and capital expenditure pressures. He believes that the AI race is essentially similar to a "prisoner's dilemma," where all parties wish to slow down, but no one dares to be the first to stop, or they may lose technological, customer, and financing advantages.Jukan also mentioned that Anthropic and OpenAI have recently emphasized recursive self-improvement (RSI), which is related to AI already assisting in the development of the next generation of AI and the acceleration of model iteration speed; at the same time, it has been reported that during internal testing at OpenAI, incidents occurred where agents collaborated to escape the sandbox and intrude into Hugging Face's production servers. Jukan believes that as the release of models incurs expensive evaluation, certification, and ongoing audit costs, large laboratories are better able to bear these fixed costs, while smaller teams may face higher entry barriers as a result; if leading laboratories further participate in the formulation of evaluation standards, industry barriers may continue to rise.

hot_img In the first half of the year, cryptocurrency TradFi transactions exceeded $1.3 trillion, with the exchange landscape shifting from a unipolar concentration to a multipolar distribution

According to a research report published by RootData Research, the total trading volume of mainstream cryptocurrency exchanges in the TradFi sector surpassed $1.3 trillion in the first half of 2026, nearly a tenfold increase compared to the entire year of 2025, with TradFi derivatives accounting for over 98%, becoming the core engine driving the explosive growth of the sector.The exchange landscape is shifting from "unipolar concentration" to multipolar competition. Binance, while maintaining a leading position in the TradFi sector with a cumulative share of 68.3%, saw its monthly trading volume share decline from 78.8% at the beginning of the year to 58.2% in August. Meanwhile, second-tier exchanges such as OKX, Gate, and Hyperliquid are rapidly expanding, with market shares of 18.2%, 10.7%, and 9.9% respectively in August.In the core submarket of stock derivatives, entering August, Binance still dominated with an average daily trading volume of $14.927 billion; OKX established an advantage in trading costs with the industry's lowest spread of 0.0091%, achieving a comprehensive score tied for second with Gate. Gate has recently shown independent growth, recording four consecutive months of triple-digit month-on-month growth from May to August, and in mid-August, its ±2% weighted depth ranked first in the industry for 11 consecutive trading days. The competitive logic of the TradFi sector may be shifting from a battle for traffic to a competition across comprehensive dimensions such as position size, market depth, trading costs, and variety coverage.

DWF Ventures: The rapid rise of social trading, platform competition is shifting from trade execution to social networks and information advantages

DWF Ventures released a report stating that as trading fees continue to approach zero, social trading is becoming a new direction for financial trading platforms to compete for users and build moats.The rise of social trading stems from users seeking validation from others and references for investment decisions. From early brokerage copy trading to investment communities like Reddit and Stocktwits, and now to platforms that combine real position verification, trading signals, and social relationships, social trading is evolving from a simple copy trading tool into a product form that integrates trading, content, and social interaction. As trade execution becomes increasingly homogenized, the future competitive advantage of platforms may come more from network effects, resources of well-known traders, and exclusive information and distribution capabilities.Analysis suggests that social trading platforms are forming a clear growth flywheel: platforms attract well-known traders and their fans, traders build reputations through public trading, fans amplify market influence by following trades, which in turn increases the visibility of traders and the user base of the platform. Public calls for trades may even generate a certain "self-fulfilling" effect in this process.Platforms also lower the entry barriers for users through one-click trading, low-threshold acceptance, trading competitions, and fee incentives, and leverage the social influence of top traders to facilitate user migration. In the future, the social trading ecosystem in the cryptocurrency and traditional stock sectors may further integrate, and platforms that master trader, user attention, and information flow are expected to form stronger network effects.However, social trading also faces significant structural risks. Data shows that among approximately 292,000 wallets analyzed by the Fomo platform over the past three months, only 6.16% achieved profitability based on realized gains. Followers lack independent investment logic and are easily influenced by herd behavior, while there may also be conflicts of interest between traders and followers.Furthermore, even if platforms can verify public positions, traders may still establish undisclosed positions through other wallets, making information asymmetry difficult to eliminate completely. Analysis suggests that as the boundaries between trading and entertainment continue to blur, platforms that can establish unique information layers, gather quality traders, and form network effects may gain an advantage in the competitive social trading market.
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