Meta releases Muse Spark 1.3 model, advancing the development of personal AI agents.

Beating AI News Flash: US Commerce Secretary Lutnick said artificial intelligence company Anthropic has mended ties with the Trump administration, with months of sharp disagreements over national security issues seemingly resolved. Lutnick noted the two sides had a "highly public rift" before, but Anthropic "has come around." He added that Trump and other administration officials helped bridge the gap and secured the company's support, stating, "We've straightened things out, and now everyone is on the same page." Earlier, the US Commerce Department briefly imposed export controls on two of Anthropic's top AI models in June, lifting the restrictions two weeks later after Anthropic took steps to address the government's national security concerns.

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.

U.S. President Donald Trump met with U.S. tourism industry executives at the White House on Wednesday local time, during which he again discussed the Iran issue. Trump said: "The Iranian regime is collapsing, a new round of strikes against Iran will not take long, and we are prepared to launch another strike on Iran in the future. We have full control over the Strait of Hormuz, through which millions of barrels of oil are exported daily. I hope domestic retail gasoline prices will drop."

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.