According to BlockBeats, Farside monitoring showed that the US spot Bitcoin ETF saw a net inflow of $174.6 million yesterday, marking the third consecutive trading day of net inflows.

According to Beating AI News, since OpenAI released GPT-6 Astra on September 3, benchmark data for multiple models has been continuously adjusted. Some modifications have made Astra perform better, while the performance of some competing models has declined, raising questions about AI "ranking manipulation" and the transparency of evaluations.

Among these, Astra's hallucination rate dropped from 4.2% to 2%, and GPT-5.6 Sol's dropped from 12.2% to 9.4%, before recovering to 4.2% and 12.2% respectively. In the math assessment, Anthropic's Fable 5.1 score also dropped from 87.8% to 78%, but has since rebounded to 83%; GPT-5.6 Sol's score dropped from 83% to 80.5%, before recovering to 83%.

Furthermore, Astra's score in the ARC-AGI-3 benchmark improved from 98.6% in the pre-release draft to 99.99% in the final version, and its programming benchmark score also slightly increased from 57.7% to 57.9%. OpenAI stated that benchmark results are affected by factors such as model version, tool configuration, inference level, and test runs, and this adjustment was made to ensure that the data more accurately reflects the model's best performance.

However, Stanford University researchers believe that frequently rerunning evaluations may involve so-called "benchmaxxing," which involves maximizing benchmark scores by adjusting test conditions. Industry insiders point out that as competition among AI models intensifies, evaluation data has become a crucial tool for measuring model capabilities and competing for market share. Improving the transparency and reproducibility of benchmark testing is receiving increasing attention.

According to a Reuters report citing sources familiar with the matter, artificial intelligence company Anthropic has adjusted its IPO plans to mid-October, with the roadshow potentially starting as early as mid-October and the listing expected to be completed before the US midterm elections in November. The company originally planned to release its IPO prospectus as early as next week, but this is now expected to be delayed until the end of September.

This timeline adjustment means that Anthropic could potentially achieve an IPO valuation of up to $2 trillion. If it goes through, it will be one of the largest IPOs in history and an important case study for the capital market to test the growth potential of the AI industry.

Sources familiar with the matter revealed that Anthropic is working to finalize a $15 billion revolving credit facility, and analysts from banks involved in the financing are expected to meet with the company before the prospectus is released. Morgan Stanley, Goldman Sachs, JPMorgan Chase, and Citigroup are among the institutions involved in the IPO preparations.

This IPO is expected to attract significant market attention and may proceed concurrently with potential listing plans from other AI companies such as OpenAI.