pump.fun has released the PUMP Tokenomics: Max Supply of 1 Trillion, with 24% reserved for Community and Ecosystem Fund.

On July 10th, as reported by Cointelegraph, US Senator Elizabeth Warren issued a warning. She said that if a bill aimed at regulating the cryptocurrency market becomes law, publicly traded companies might circumvent US securities laws. During a hearing on cryptocurrency market structure legislation held by the Senate Banking Committee on Wednesday, Warren, who is a senior member of the committee, stated that she supports digital asset regulation to strengthen the US financial system. However, she raised serious concerns about the "Digital Asset Market Transparency Act" (CLARITY Act) currently under review in the House. Warren pointed out that this bill might allow "non-crypto companies" to bypass the oversight of the US Securities and Exchange Commission (SEC) through asset tokenization. Under this House bill, publicly traded companies like Meta or Tesla could completely avoid SEC regulation simply by putting their stocks on the blockchain.

July 10th. The U.S. SEC made a statement regarding security tokenization. It was stated that blockchain technology has brought forth a new model for issuing and trading securities in a "tokenized" form. Tokenization holds the potential to facilitate capital formation and enhance investors' ability to use their assets as collateral. Nevertheless, despite the significant potential of blockchain technology, it does not possess a "magical" ability to alter the nature of the underlying asset. Tokenized securities remain securities. Consequently, market participants engaging in the trading of such instruments must carefully consider and comply with the relevant provisions of federal securities laws. On certain occasions, issuers tokenize their own securities. Investors purchasing such third-party tokenized securities may encounter some unique risks, such as counterparty risk. The issuer of tokenized securities must also take into account the disclosure obligations under federal securities l

On July 10th, London BTC Company Limited (formerly named Vinanz Limited) is in the process of raising ￡1 million to ￡5 million (up to around $6.8 million), and a portion of this amount will be utilized to enhance its Bitcoin holdings. This fundraising is being carried out through the issuance of new shares at a price of 13 pence per share.

On July 10th, the Slowmist Chief Information Security Officer (@im23pds) tweeted that "The underlying cause of the GMX attack is that in handling short positions, GMX v1 promptly updates the global short position average price. This global average price directly influences the calculation of the total assets under management (AUM), resulting in the manipulation of the GLP token price." The attacker took advantage of this design flaw by using a Keeper to activate the timelock.enableLeverage feature when placing orders (a prerequisite for creating a large short position). Through reentrancy, they successfully established a large short position to manipulate the global average price, artificially raising the GLP price in a single transaction and making a profit through redemption.

July 10th: Investment bank Piper Sandler expressed that President Trump's perspective that the Federal Reserve is required to lower interest rates is accurate. (Golden Ten)

July 10th. According to U.S. tech media The Verge, Microsoft (MSFT.O) is on the verge of experiencing a significant turn in its intricate relationship with OpenAI. While the two parties are in the process of renegotiating their contract to enable OpenAI to restructure as a for-profit entity, OpenAI is gearing up to release an open-source language model, which is likely to further widen the rift between the two companies. Insiders disclosed that this AI lab led by Sam Altman is scheduled to release an open-weight model next week. This model will not only be hosted on OpenAI and Microsoft Azure servers but will also be made available to other cloud service providers. In contrast to the closed-weight model commonly employed by OpenAI, this publicly accessible weight parameter (a kind of training parameter) will be open to the public. This openness allows businesses and governments to deploy the model independently. (BlockBeats)