According to BlockBeats, on August 2nd, data from Coinglass indicated that if Bitcoin breaks through $65,000, the cumulative short-selling intensity on major CEXs will reach $478 million.

Conversely, if Bitcoin falls below $62,000, the cumulative liquidation intensity of long positions on major CEXs will reach $330 million.

BlockBeats Note: The liquidation chart does not show the exact number of contracts pending liquidation, or the exact value of contracts being liquidated. The bars on the liquidation chart actually represent the importance, or strength, of each liquidation cluster relative to its neighboring liquidation clusters.

Therefore, the liquidation chart shows the extent to which the price of an asset is affected when it reaches a certain level. Higher "liquidation bars" indicate that the price will react more strongly due to liquidity surges once it reaches that level.

According to a report by The Wall Street Journal on August 2nd, as Chinese open-weighted models such as Kimi, Qwen, and DeepSeek approach top-tier US models at a lower cost, Silicon Valley and Washington are increasingly concerned that Chinese models may squeeze the profits of US AI companies in the long term. US startups such as Arcee AI, Reflection AI, and Poolside are racing to develop local alternatives to meet users' demand for low-cost, downloadable, and customizable models.

However, US-based companies offering open weighted models are facing funding difficulties. Some investors question whether free and open models can generate stable revenue and worry that the technology might diminish the value of their investments in OpenAI and Anthropic. In the first quarter of 2026, AI startups raised a total of $255.5 billion, with nearly two-thirds coming from three funding rounds at OpenAI, Anthropic, and xAI.

Arcee AI, with limited funds, used 2048 NVIDIA Blackwell B300 chips and a budget of approximately $20 million to complete 33 days of pre-training and launch Trinity Large. This model is still smaller than top-tier models and lags behind OpenAI and Anthropic in several benchmarks, but the company plans to develop a larger model through a new round of funding.

Nvidia has become a major supporter of the open AI ecosystem in the United States, not only developing the Nemotron series of models but also investing in Reflection AI, Poolside, and Thinking Machines Lab. Industry insiders say that the US open AI ecosystem is still relatively small, and Chinese models generally still hold an advantage.

According to BlockBeats, on August 2nd, Trump Media Group officially launched its paid data service, Truth API, providing clients with faster access to posts from Trump and other top accounts on the Truth Social platform. The service costs up to $100,000 per month and is primarily targeted at trading companies and enterprises.

Kevin McGurn, interim CEO of Trump Media, stated that the Truth API aims to provide organizations with a "direct, permission-based, real-time stream of the most influential Truth posts." Trump's @realDonaldTrump account currently has 13 million followers, and some of his important policy decisions are first published on Truth Social.

Prior to the service's launch, Democratic Senators Adam Schiff and Elizabeth Warren sent a letter to the Securities and Exchange Commission (SEC) requesting an investigation into whether Trump Media had violated the law. They argued that the service could constitute using the presidency for personal gain and harm ordinary investors and market integrity.

Trump Media stated that Truth Social posts have already been able to influence the market, and Truth API will drive the company's commercialization of its own data assets through a high-margin, recurring revenue model.