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Binance has launched a special trading competition for new users. Complete your first trade on Binance Spot or Instant Exchange to win up to 1,000 USDT vouchers. The event runs from August 14, 2026, 20:00 to August 29, 07:59.Eligibility to participate is for new users who register a Binance account and complete identity verification during the event period. Rewards will be distributed based on the total qualified trading volume of spot or instant exchange trades during the event.

Bitget launches a crypto & TradFi contract trading competition, running from August 12 to August 22, with a total prize pool of 50,000 USDT. During the event, users can trade designated crypto and TradFi contracts to earn chances to win in a blind box lottery. The prize pool includes rewards in popular tokens such as rSNDK, XAUT, HYPE, as well as experience vouchers worth up to 1,000 USDT.In addition, the event features a trading volume ranking competition. The top 1,000 users by trading volume who have a cumulative trading volume of at least 10,000 USDT can share a prize pool of 30,000 USDT, with the first place on the leaderboard receiving 3,000 USDT. For more details, please refer to the official Bitget platform.

Bitget launches the "Stock God Championship" trading event, which runs from August 10 to August 17. The total prize pool for this event is 25,000 USDT, including three main sections: early bird rewards, trading volume leaderboard, and profit leaderboard. During the event, the first 500 users who register and have a cumulative trading volume of stock perpetual contracts of no less than 50,000 USDT will receive early bird rewards.In addition, the top 200 users on the trading volume leaderboard and the top 100 users on the profit leaderboard can receive corresponding USDT rewards based on their rankings; among them, the trading volume champion can receive 2,000 USDT, and the profit champion can receive 1,000 USDT. For more details, please refer to the Bitget official platform.

SK Hynix stated in a recent article that the competition in AI is shifting from the performance of individual chips to the design and operation of the entire infrastructure architecture. The competitiveness of AI data centers no longer depends on individual components, but on whether the five key elements of computing, memory, storage, networking, and power cooling can be seamlessly integrated.The article points out that the continuous expansion of AI model scales has led to a surge in demand for computing power and data movement. Training requires repeatedly reading massive datasets, while inference relies on quickly retrieving user request information, both of which place higher demands on the system architecture of data centers. At the memory level, HBM, server DRAM, and others have formed a hierarchical system, each undertaking different bandwidth and capacity tasks. At the networking level, as large-scale training and inference rely on multi-server parallel processing, networking has become a key factor determining the scalability of data centers. System design is shifting from single-server to whole rack and cluster-level expansion.According to Omdia's forecast, the AI data center chip market will grow from $123 billion in 2024 to $207 billion in 2025, reaching $286 billion by 2030. SK Hynix also mentioned that Microsoft's Fairwater data center in Wisconsin is about the length of five football fields, indicating that infrastructure is being deployed on a larger scale. SK Hynix emphasizes that memory is becoming a key layer connecting computing and data.

The research organization SemiAnalysis released an analysis indicating that Google DeepMind is no longer among the leading AI laboratories. A week prior, DeepMind co-founder Demis Hassabis stepped back from daily operations, and key members such as Google Chief Scientist Jeff Dean and Gemini co-lead Oriol Vinyals left to establish a new lab called Discovery Loop. The analysis suggests that the long-term struggle within Google over computing power allocation between Gemini and GCP has concluded with GCP emerging victorious.SemiAnalysis stated that Gemini 3.5 Pro has been canceled, and Gemini 3.6 Flash's performance is inferior to that of leading Chinese open-source models and Grok 4.5. Currently, Gemini has fallen to the 8th or 9th position in the large model rankings. Meanwhile, GCP is selling a large number of TPUs to competitors like Anthropic, having secured long-term leasing and sales contracts for hundreds of thousands of TPUs over the past nine months. The Tokenomics model estimates that Gemini's own ARR is about $12 billion, while GCP's third-party AI cloud service revenue is expected to exceed $73 billion by the end of 2027, with TPU system sales contributing an additional over $120 billion. GCP's latest quarterly growth rate is 82%, and it is expected to accelerate to over 100% by 2027 due to TPU system sales, contributing approximately $3 to Google's earnings per share.

According to The Block, research firm Bernstein reaffirmed its "Outperform" rating and maintained a target price of $140 after Circle announced its Q2 2026 financial results, believing that the company's latest performance constitutes a "reverse validation" of the market's bearish views. Bernstein analysts stated that the market currently underestimates USDC's long-term growth potential and Circle's advantages in distribution channels, liquidity, and regulatory compliance, due to two major core concerns regarding Circle—intensifying competition in stablecoins and changes in the interest rate environment that may affect reserve income.Investors may not have fully accounted for the future revenue opportunities from transaction fees, partner ecosystems, and the Arc blockchain that Circle could generate. The firm specifically pointed out that several infrastructure initiatives recently advanced by Circle, including obtaining a national trust bank license in the U.S., expanding the Circle Payments Network, and the planned launch of the Arc public chain mainnet on September 16, could all become future growth drivers. Additionally, Bernstein noted that Circle has raised its guidance for other revenues and profit margins after deducting distribution costs for 2026, expecting to confirm approximately $180 million in Arc token presale revenue.Analysts believe that future staking yields, gas fees, and ecosystem partnership revenues from Arc have not been fully reflected in current valuation expectations. As of the end of Q2, the circulating supply of USDC was $73.3 billion, a decrease of 5% from the previous quarter but an increase of 19% year-over-year. Bernstein believes that Circle is shifting from a purely crypto trading infrastructure to payments, real-world asset (RWA) tokenization, and broader financial infrastructure, which will drive USDC into the next phase of growth. Circle's stock closed at $63.28 on Wednesday, and Bernstein's target price of $140 implies a potential upside of about 121%.

According to TechCrunch, OpenAI is fighting back against Apple's lawsuit regarding the leak of trade secrets, stating that Apple itself has vulnerabilities in its information security management and employee departure processes, and cannot prove that the relevant information is protected trade secrets.Apple previously accused OpenAI of obtaining hardware-related secrets through former employees who left Apple and requested the court to expedite the evidence investigation. In the latest legal documents submitted, OpenAI stated that Apple allows employees to use personal iCloud accounts to handle work materials and did not promptly revoke access after employees left. OpenAI claimed that Apple did not specify the exact trade secrets that were allegedly stolen, but only referred generally to information such as product development processes, supply chains, and testing.OpenAI believes that Apple's lawsuit is more about restricting its development in the AI hardware field and denies that the company needs or uses Apple's trade secrets. The focus of the dispute between the two parties centers on employee mobility, intellectual property protection, and competition in the AI hardware sector.

According to CoinDesk, JPMorgan stated that the Hyperliquid (HYPE) ETF led the inflow of funds into non-Bitcoin crypto funds in May and June, but related demand has basically stagnated in July and early August, reflecting growing concerns about its competitive prospects.Analysts led by Nikolaos Panigirtzoglou pointed out that decentralized platforms like Hyperliquid face significant pressure on market share. After the launch of regulated crypto perpetual futures products in the U.S., some trading activity may shift from overseas decentralized platforms to compliant centralized exchanges, which have advantages in licensing, compliance, and investor protection.JPMorgan also mentioned that Hyperliquid is expanding its prediction market business, but competition in this area is also intensifying. Although HYPE has become the fourth largest asset in corporate crypto treasuries after BTC, ETH, and SOL, it remains uncertain whether it can continue to gain market share from larger ecosystems like Solana and XRP.Currently, the assets under management for BTC and ETH ETFs are approximately $77 billion and $10 billion, respectively, while other crypto ETFs, including SOL, XRP, and HYPE, have a combined size of only about $2 billion to $3 billion. HYPE has fallen over 3% in the past 24 hours, trading at around $55.30.

On August 5, Tria launched the "TradFi vs Crypto" trading competition on the decentralized trading platform Decibel, which will run until August 19. The competition features two independent tracks: TradFi (tokenized stocks, ETFs, and commodities) and Crypto, each with its own leaderboard and prize pool, totaling 25,000 USDC. The Crypto track has a prize pool of 15,000 USDC, while the TradFi track has a prize pool of 10,000 USDC. The top ten in each track will receive rewards based on their rankings, with the champions receiving 4,000 USDC and 2,500 USDC, respectively.Participants can enter the leaderboard by accumulating a trading volume of 15,000 USD. Both tracks can be participated in simultaneously, and no registration is required; the first trade automatically enrolls the participant. Users who achieve a daily trading volume of 10,000 USD will automatically qualify for the daily VIP lucky draw, with prizes including VIP level upgrades or cash rewards. All rewards will be directly distributed to users' Tria Decibel wallets after the competition ends.

During the Circle Q2 earnings call, Citigroup analyst Pete Christensen asked about the competitive landscape following the launch of the Open USD Alliance, inquiring how Circle would compete for distribution channels given that reserve revenue sharing is gradually becoming an industry standard and Circle is constrained by its existing economic arrangements with Coinbase.Co-founder and CEO Jeremy Allaire responded that Circle has signed distribution cooperation agreements with over 150 companies and often collaborates with Coinbase on distribution efforts. An example of this is the revenue-sharing arrangement that Circle and Coinbase have jointly established with Hyperliquid. He added that about 70% of the companies expressing interest in participating in such alliance projects are already partners in the Circle network. On the day of the earnings report, Circle also announced that Visa and Mastercard would expand their cooperation as key infrastructure partners for Arc.

Fortune magazine recently published a commentary article pointing out that with the rapid rise of China's open-source AI models, the competitive landscape of the global AI field is changing. The real contest has shifted from U.S.-China rivalry to the battle between open-source and closed-source models. The article cites data from the independent evaluation platform Artificial Analysis, stating that the intelligence index of DeepSeek V4 Flash is only 1 point lower than that of GPT-5.6 Luna. Even though OpenAI has reduced prices by 80%, the former's single-task cost is still 60% lower.The author notes that while U.S. export control policies aim to limit China's AI development, they have objectively stimulated innovation at the architectural level among Chinese companies, forcing them to shift towards open-source and low-cost routes. Chinese models attract global developers to participate in improvements by opening weights, while transferring inference costs to overseas cloud service providers, achieving a low-cost global layout. Regarding the viewpoint that open-source models "cannot be profitable," the article argues that their profit model is similar to that of open-source software: users pay for hosting services, and most companies are not inclined to self-deploy.The article also points out that recently, several figures in the U.S. tech community, including former White House AI official David Sacks, have begun to support open-source, and NVIDIA CEO Jensen Huang has also called for the industry to embrace open-source. The author urges both China and the U.S. to cooperate in the field of AI security, viewing open-source AI as a "global public good," rather than falling into a zero-sum competition that costs trillions of dollars.

According to official news, the decentralized all-asset trading platform Vanta will launch a trading competition with a total prize pool of 100,000 USDC at 16:00 on July 30. During the event, users can participate in the USDC reward distribution based on their trading volume. In addition, users participating in this trading competition can also simultaneously participate in Vanta's weekly points rewards.It is reported that Vanta was founded by core executives from leading trading platforms such as Bitget and OKX, and is a one-stop all-asset trading platform that combines CEX-level trading experience, self-custody, and on-chain transparency. Currently, the platform covers asset categories including cryptocurrency, stocks, gold, foreign exchange, commodities, and indices, and has launched Smart Trading and AI trading assistance features.Vanta officially opened to all users on July 16, and since the platform's launch, the cumulative trading volume has exceeded 300 million dollars. Currently, Vanta is continuously advancing its global market layout and is building localized teams in multiple countries.

Strategy founder Michael Saylor stated that Bitcoin has gained market recognition, but the biggest challenge in the future is not external competition, but rather the erosion of consensus rules from within. He believes that Bitcoin's consensus rules are like a "constitution," determining property rights, scarcity, settlement mechanisms, and boundaries of power. Any modification of the rules for the benefit of specific groups is an infringement on the economic rights of all participants.He warned that Bitcoin is expected to grow a hundredfold in the future and become the infrastructure of the global capital market, while a single erroneous rule modification could harm markets, technologies, and economic freedoms that have yet to be born. Saylor specifically pointed out certain proposals, including BIP-110, arguing that they undermine the neutrality of the Bitcoin protocol by limiting effective paid transactions, introducing contract mechanisms, or expanding block capacity. He stated that although these proposals take different forms, they all weaken the scarcity of block space, increase network bandwidth and verification costs, expand protocol complexity, and introduce new security risks. At the same time, weakening the fee market will affect miners' income sources after block rewards continue to halve, thereby undermining the long-term security of the Bitcoin network. Furthermore, once a particular interest group is able to modify Bitcoin rules through certain means, other interest groups will follow suit, leading to long-term conflicts in protocol governance, capital outflows, slowed innovation, and deteriorating network security. Saylor called for keeping the Bitcoin base layer simple, neutral, scarce, and secure, leaving innovation to the second layer and application layer, promoting development through voluntary adoption rather than frequent modifications of the underlying protocol, and emphasized that protocol upgrades should be approached with extreme caution and only advanced when truly necessary to maintain the foundation for Bitcoin's long-term development.

Mizuho analysts stated that if the Clarity Act, a U.S. cryptocurrency market structure bill, is passed, it may generally benefit the digital asset industry, but the long-term impact on Circle could be negative. The reasoning is that regulatory clarity will attract more large institutions into the stablecoin market, further accelerating the commodification of stablecoins and eroding the revenue space of Circle's USDC.Mizuho believes that the main pressure Circle is currently facing comes from Open USD. This stablecoin project is supported by an alliance of over 140 financial, technology, and cryptocurrency companies, including Visa, Mastercard, Stripe, BlackRock, and Coinbase. Unlike Circle's model, which retains about 38% of USDC reserve earnings, Open USD adopts a "pass-through" model, distributing nearly all reserve earnings to distributors while retaining only a small management fee. Analysts also pointed out that Coinbase, as the largest distributor of USDC, also supports Open USD, which may give it stronger bargaining power when renegotiating revenue-sharing agreements with Circle in the future. The distribution agreement between the two parties may be renegotiated as early as next month.

David Sacks, Chairman of the President's Council of Advisors on Science and Technology, stated on the X platform that using regulatory uncertainty as a competitive tool is "completely unacceptable." Regulatory decisions should be based on facts, logic, and evidence, rather than deliberately creating fear and uncertainty (FUD). He is unsure whether venture capitalist and AI policy researcher Dean Ball is acknowledging a strategy of "regulatory capture" or merely predicting that such a situation will occur. However, in any case, the practice of issuing "soft law" warnings through regulatory agencies to create market panic, thereby forcing regulated companies away from Chinese open-source models, should not be accepted.David Sacks pointed out that Dean Ball believes there is no need to directly ban Chinese open-source models; it is sufficient to guide regulatory agencies to issue relevant warnings, which can influence corporate decision-making by creating enough doubt and uncertainty, and these reasons "do not even need to be very substantial." Any regulatory decision must have sufficient basis, rather than implementing policies by "artificially creating doubt." He warned that this practice of circumventing public deliberation procedures not only undermines the foundation of the rule of law but may also open the door to regulatory abuse against any company or individual in the future.David Sacks further stated that current AI policy is at a critical turning point. Leading closed-source laboratories, which have already formed a duopoly in AI model revenue, are attempting to use government power to eliminate open-source competitors. He called on other companies and developers in Silicon Valley that still support open competition to make clear statements to jointly maintain an open ecosystem in the field of AI.