XRP rises to $1.31, spot ETF net inflows and increased online activity support the trend, but resistance remains above.

The crypto derivatives market saw short positions liquidated for over $3 billion in two days, Bitcoin briefly broke through $72,000, and Ethereum rose by about 18% in 24 hours.

Capital.com Affiliated company obtains virtual asset license in UAE, preparing to launch crypto spot and custody services.

The U.S. Commodity Futures Trading Commission (CFTC) held its first meeting of the Innovation Advisory Committee on August 20 in Washington. The committee was restructured from the former Technical Advisory Committee and is tasked with providing recommendations to regulatory authorities on technical, legal, policy, and financial cross-cutting issues. Its members come from exchanges, clearinghouses, crypto companies, predictive markets, academia, and public interest organizations. The meeting itself does not automatically result in new regulations, nor does it equate to consensus among committee members, but it indicates that discussions on derivatives regulation in the United States are shifting from principle-based support for innovation to more actionable issues such as market structure, product boundaries, monitoring capabilities, and customer protection.

On August 20th, Anthropic officially launched Claude Academy and simultaneously made public its educational approach for AI. On the surface, this appears to be a set of free courses and tutorials; however, what is more noteworthy is the deliberate shift in training focus from "memorizing cue words and techniques" to task judgment, risk grading, result verification, and the division of labor between humans and machines. For companies that are advancing the implementation of large models, this direction is more practical than another round of tool demonstrations: model capabilities change too rapidly, and specific buttons and sentence patterns will become outdated. What can be reused over the long term is rather the employees' ability to decide when to invoke AI, how much context to provide to AI, and at what intensity to review the output.