Trump: Preparing to Strike Iran Again, We Have Full Control of the Strait

According to Bitget market data, U.S. stocks closed on Wednesday: the Dow Jones Industrial Average posted a preliminary 0.56% gain, the S&P 500 rose 0.46%, and the Nasdaq advanced 0.45%. Nvidia (NVDA.O) and Oracle climbed 3%, SK Hynix (SKHY.O) and Micron Technology (MU.O) gained over 2%, while Dell (DELL.N) surged 15.7%. Among crypto-related concept stocks, MSTR fell 1.35%, CRCL dropped 0.95%, COIN declined 1.05%, BMNR slipped 1.28%, SBET edged down 0.61%, and PURR fell 0.31%.

Beating AI News Brief: According to a Wall Street Journal (WSJ) report, the U.S. government has filed court documents supporting OpenAI’s position in its copyright dispute with publishers including The New York Times, arguing that using news content to train AI models aligns with the "fair use" doctrine under U.S. copyright law. The U.S. Department of Justice (DOJ) stated in the filings that restricting AI companies from using copyrighted content to train large language models would violate fundamental copyright principles and hinder innovation and scientific progress. The New York Times sued Microsoft and OpenAI in December 2023, alleging that ChatGPT and Microsoft Copilot used a large volume of the Times’ content to train their models and generate responses. The U.S. government claims AI training is "highly transformative" to original works and does not harm the market value of copyrighted content; tightening fair use rules would likely leave only large tech companies able to afford licensing fees, undermining the competitiveness of the U.S. AI industry. Parties involved are expected to submit new motions after completing the evidence exchange, requesting the court to rule on core disputes.

Beating AI News Flash: Meta released an update to its Muse Spark 1.3 model on Wednesday, claiming the version delivers significant performance improvements in coding and agentic tasks. Meta AI head Alexandr Wang said the new model is "competitive with frontier models" and will pave the way for future personal AI agent products, enabling AI assistants that can work on users’ behalf around the clock. Muse Spark 1.3 carries the same price as the prior version, a strategy Wang called "aggressive". Meta added that its "contributor tier" option has been well-received by developers. The program lets Meta use developers’ work to refine models, drastically cutting costs for coding products, with a "meaningful double-digit percentage" of developers opting in. Alexandr Wang noted that as model capabilities advance, security has become a critical internal priority for Meta, and the company is boosting investments in security and alignment. Muse Spark 1.3 will launch on Muse Code and Meta API on the same day, while the highest inference version will be released after additional security testing is completed.

Binance founder CZ published a post noting that some "hot money" is flowing back from the AI sector to the crypto market. Currency-related industries will not disappear, as both individuals and AI will still need currency in the future.

Crypto KOL Ansem posted an article stating that the crypto market is still in the early stages of a bull run, and the key to generating returns at this stage is to identify assets with asymmetric upside while tolerating short-term volatility. Over the past two years, rotating between meme coins and new trading pairs has been the dominant strategy, with lower valuation caps leading traders to favor short-term holdings; however, in a bull market, high-quality assets offer greater upside potential, so extending holding periods after careful selection may prove more advantageous. Ansem believes retail investors are entering the crypto market with more capital. The growth of mobile users on Pump.fun and Fomo, as well as Robinhood Chain’s ongoing efforts to convert stock traders to on-chain activities, all indicate that market liquidity may increase in the future. New users pay relatively less attention to market capitalization changes, so tokens that gain widespread traction may receive stronger capital inflows. He also noted that the trend toward short-form video has led fewer and fewer investors to read project whitepapers or research token differences, which in turn creates opportunities for those willing to build a complete investment thesis and exercise patience. However, traders still need to set criteria for when they are wrong, review the reasons for missing out on high-growth assets, and define conditions for re-entering the market after selling too early.

An unaudited report released by the Arbitrum Foundation shows that Arbitrum DAO generated $6.19 million in revenue in the first half of 2026, with sources including Arbitrum One transaction fees, Timeboost sequencing priority auctions, scaling program licensing fees, and treasury management returns. The protocol’s gross profit margin exceeded 97%, and non-ARB treasury assets stood at $125 million as of the end of June. In H1 2026, Arbitrum processed a total of 478 million transactions, accounting for roughly 18% of its cumulative lifetime total of 2.7 billion transactions; monthly average stablecoin transfer volume surpassed $70 billion, and the number of stablecoin holders rose 40% to 10.5 million. Additionally, Arbitrum has deployed over 2,000 tokenized RWAs. Robinhood Chain, built on Arbitrum’s tech stack, launched its mainnet on July 1, contributing $360,000 in licensing fees to the DAO that month, making up 35% of its monthly revenue. On September 1, Robinhood Chain hit daily fees of $3.75 million, decentralized exchange (DEX) volume exceeding $1.5 billion, and total value locked (TVL) of over $750 million.