TRUMP unlocked 40 million tokens 5 hours ago, equivalent to around 300 million US dollars

According to monitoring by TradingBeats (formerly Hyperinsight), a crypto whale recently deposited approximately $4 million in USDC into Hyperliquid and opened a long position on HYPE. The wallet address established a 134,930 HYPE long position with 4x leverage, valued at around $10.7 million. Its entry price was $81.64, liquidation price stands at $64.47, and the current unrealized loss amounts to $315,000. The whale’s address is 0xa9d1c0fe2aa58038bac208ad390f69e7ce0c29a2.

Tesla has announced on social platforms that it will hold the Cybercab launch event on September 3, 2026, in Austin, Texas, United States. The automaker’s self-driving electric Cybercab officially entered production in North America this April, and the vehicle is AI-powered, with no steering wheel, pedals, or rearview mirrors.

According to MaxForAI's disclosure, Gao Jianlin, a core lead in Tencent's chip research and development, recently left the tech giant to launch a startup focused on high-performance AI servers and Agentic AI, with plans to develop high-performance CPUs based on the RISC-V architecture. Gao is widely regarded as one of the early core drivers of Tencent's in-house chip ecosystem. Public records show he formed Tencent's FPGA hardware team in 2013, began laying the groundwork for AI chip R&D in 2018, established Penglai Lab in 2020, and spearheaded the development and data center deployment of multiple AI chips for Tencent. Unlike the currently fiercely competitive AI GPU market, Gao's new venture will center on CPUs. Gao believes that as Agentic AI advances rapidly, AI inference processes will involve model calls, tool execution, searches, database interactions, and extensive task scheduling, making CPUs take on a more critical scheduling and control role in AI systems. Reportedly, Gao was already involved in RISC-V-related R&D during his tenure at Tencent, contributing to multiple technical areas including chip architecture, verification, and backend development. His new company plans to build high-performance server CPUs based on the open RISC-V instruction set to enter the AI infrastructure market. To date, the startup's name, financing details, and specific product launch timeline have not been made public. The market is closely watching whether it will emerge as another key player in China's AI chip space targeting server CPUs and agent infrastructure.

According to monitoring by TradingBeats (formerly Hyperinsight), the trading performance of the address linked to "Brother Ma Ji" Huang Licheng has seen a sharp reversal recently. After nearly 500 liquidations, the account grew its capital from $152,000 to over $10 million in just three days. However, amid a short-term crypto price plunge over the past two hours, the account balance dropped from $12.8 million to $10.8 million in 80 minutes, reflecting significant volatility. Currently, he still holds long positions of 888.88 BTC and 19,100 ETH: the BTC long position has an unrealized loss of $470,000, while the ETH long position has an unrealized profit of $2.17 million.

According to market sources, Base App’s official Twitter account appears to have unfollowed Base co-founder Jesse, with multiple crypto users sharing bot screenshots to spark discussions. The incident comes after Jesse’s mid-July strategic adjustment, during which he publicly acknowledged Base’s failed bets on on-chain social and creator tokens, returning Base App’s leadership to Coinbase and handing control to Cobie (Jordan Fish). Jesse will now focus on developing the Base chain, aiming to establish it as a “global financial blockchain”. Since then, Base App has further shifted toward a transaction-first, multi-chain strategy.

Crypto whale Jason Leo, known for his "10 big targets" approach, posted a reflection on his recent trading experience this morning, stating he’s re-evaluating discipline and risk control in trading. Jason revealed he made roughly $100 million in profits during the last crypto cycle, but due to his long-term adherence to trend-following, he failed to cut losses promptly after the market reversed, resulting in a significant drawdown of his profits. This experience led him to identify two core trading principles: discipline and risk management. He explained that in the early phase of this cycle, he stuck to trend trading, predicting Bitcoin would reach the $74,000 target and viewing the fluctuations during that period as part of the upward trajectory. However, as the price neared the target, risk awareness stemming from his past losses began to skew his judgment, prompting him to exit his position early. Jason noted that even though Bitcoin ultimately hit $74,000, he missed out on holding through to that point. He attributed his last cycle error to over-reliance on trends, while this time he abandoned the trend prematurely out of fear of repeating past mistakes. Jason concluded that the biggest challenge in trading isn’t beating the market, but shedding ingrained perceptions formed by past experiences. “Experience that fails to adapt to changing circumstances is essentially bias; discipline without judgment is essentially mechanical.”