Tesla's "Golden Era" Gets Off to a Chilly Start: Cybercab Faces Regulatory Headwinds Right After Launch

Per Farside's monitoring, U.S. spot Bitcoin ETFs recorded a net inflow of $174.6 million yesterday, extending their streak to three consecutive trading days of net inflows.

Beating AI Express: Since OpenAI launched GPT-6 Astra on September 3, multiple model benchmark evaluation metrics have been continuously adjusted. Some changes have boosted Astra’s performance, while scores of some competing models have dropped, sparking external skepticism about AI "benchmark manipulation" and evaluation transparency. Specifically, Astra’s hallucination rate was once lowered from 4.2% to 2%, while GPT-5.6 Sol’s rate fell from 12.2% to 9.4%, before both rates returned to 4.2% and 12.2% respectively. In math evaluations, Anthropic’s Fable 5.1 score also dropped from 87.8% to 78%, and has since rebounded to 83%; GPT-5.6 Sol’s score fell from 83% to 80.5%, then returned to 83%. Additionally, Astra’s score in the ARC-AGI-3 benchmark rose from 98.6% in its pre-release draft to 99.99% on the final page, while its programming evaluation score was also slightly adjusted upward from 57.7% to 57.9%. OpenAI stated that evaluation results are influenced by factors including model version, tool configuration, inference level, and test runs, adding that the adjustments were made to ensure the data more accurately reflects the model’s optimal performance. However, Stanford University researchers argue that frequent re-running of evaluations may involve so-called "benchmaxxing" – the practice of adjusting test conditions to maximize benchmark scores. Industry insiders note that as competition among AI models intensifies, evaluation data has become a key tool for measuring model capabilities and competing for market share, with improving the transparency and reproducibility of benchmark tests drawing growing attention.

Beating AI News Flash: According to Reuters, citing people familiar with the matter, AI firm Anthropic’s IPO plans are being adjusted to mid-October. Roadshows could kick off as early as mid-October, with the listing targeted to complete before the U.S. midterm elections in November. The company had originally planned to publicly release its IPO prospectus as early as next week, but that timeline is now pushed back to the end of September. This timing shift means Anthropic could aim for a listed valuation of up to roughly $2 trillion. If achieved, the IPO would rank among the largest in history and serve as a key case for capital markets to test the AI industry’s growth potential. Sources also revealed that Anthropic is finalizing a $15 billion revolving credit facility, with participating bank analysts expected to meet with the company ahead of the prospectus filing. Morgan Stanley, Goldman Sachs, JPMorgan Chase, and Citigroup are among the institutions involved in preparing for the IPO. The offering is expected to draw significant market attention and could proceed around the same time as potential listing plans of other AI firms like OpenAI.

According to Lookonchain monitoring, after Shivon Zilis reposted a post containing the SLINK contract address and Elon Musk subsequently replied, SLINK's market cap surged to $80 million at one point. After Shivon deleted the relevant post, SLINK's price plummeted more than 80%. Analysts noted that in this market movement, over 30 suspected insider wallets bought SLINK in advance and sold quickly, reaping a total profit of over $4.7 million, with the highest return exceeding 1,200 times. Meanwhile, numerous traders who followed the trend to buy suffered losses.

Arbitrum issued a clarification stating that Robinhood Chain did not experience an outage today. Batch publishing delays occurred on Robinhood Chain due to Blob activity on the L1 market, but transactions initiated directly by users were not affected. Arbitrum noted that some infrastructure service providers relying on Robinhood Chain’s data streams faced brief performance issues due to the high volume of subscribed data sources. Robinhood Chain is currently operating normally.

According to Lookonchain’s monitoring, a trader executed two consecutive FOMO trades within a single day, logging a total loss of roughly $907,000. The trader first spent $916,500 to purchase 7.28 million MEME tokens at $0.126 apiece, then sold the entire holding for just $353,000, taking a $563,000 loss equivalent to a 61.45% drop. Next, the trader deployed an additional $356,000 to buy 8.93 million SLINK tokens at $0.04 each, only to sell them for approximately $12,000, incurring a $344,000 loss with a 96.62% plunge. BlockBeats reminds users: Most meme coins lack real-world use cases and are subject to extreme price volatility. Please protect your assets and refrain from FOMO trading.