Trump proposes renaming the Strait of Hormuz to the "Strait of Trump"

An unaudited report released by the Arbitrum Foundation shows that Arbitrum DAO generated $6.19 million in revenue in the first half of 2026, with sources including Arbitrum One transaction fees, Timeboost sequencing priority auctions, scaling program licensing fees, and treasury management returns. The protocol’s gross profit margin exceeded 97%, and non-ARB treasury assets stood at $125 million as of the end of June. In H1 2026, Arbitrum processed a total of 478 million transactions, accounting for roughly 18% of its cumulative lifetime total of 2.7 billion transactions; monthly average stablecoin transfer volume surpassed $70 billion, and the number of stablecoin holders rose 40% to 10.5 million. Additionally, Arbitrum has deployed over 2,000 tokenized RWAs. Robinhood Chain, built on Arbitrum’s tech stack, launched its mainnet on July 1, contributing $360,000 in licensing fees to the DAO that month, making up 35% of its monthly revenue. On September 1, Robinhood Chain hit daily fees of $3.75 million, decentralized exchange (DEX) volume exceeding $1.5 billion, and total value locked (TVL) of over $750 million.

Garrett Jin, the representative of the "BTC OG Insider Whale", stated in a post that Bitcoin (BTC) has held the critical level of $76,600. If BTC climbs further above $79,000, the price may attempt to form a higher high. However, even if BTC does post a higher high, this would still not be sufficient to confirm a genuine breakout in the market.

According to market data from BIT (bit.com), NVIDIA's stock rose 4.82%, with its current market capitalization standing at $5.49 trillion.

Tonight, the "short squeeze on underlying stocks" narrative surrounding JINQIAN/FAMI on Robinhood’s blockchain has been denied by the parties involved, putting an end to the on-chain hype. However, a review of the entire incident shows that the biggest gains were not only made by top on-chain traders; smart money also reaped substantial profits by setting up JINQIAN trading pair liquidity provider (LP) pools on Uniswap. According to data from Uniswap’s official page, during JINQIAN’s first rally from a $7 million market cap to $60 million, the peak APR of its main trading pair JINQIAN/ETH hit 83,832%, and has since dropped to 79,708%. As of press time, the JINQIAN/USDG trading pair still has a 6% transaction fee, with the pool’s annualized APR reaching as high as 126,440%. This means that if traders bought JINQIAN tokens during the rally, then established liquidity pools at higher price levels, timely collected LP fees, and sold off part of their JINQIAN holdings, their risk-reward ratio would be far higher than that of simply holding JINQIAN tokens. However, current market sentiment has become overly FOMO, and on-chain scams are on the rise. Even setting up LP pools for individual popular meme coins cannot fully avoid risks from token price fluctuations, so users should exercise caution with their investments.

According to GMGN market data, JINQIAN’s market cap has fallen to $15.04 million, down over 79% from its all-time high. FAMIJINQIAN’s market cap stands at $15.35 million, a drop of more than 71% from its peak. Crypto KOL Rune (@RuneCrypto_) previously claimed to have acquired a 37.4% stake in a Nasdaq-listed company for $1.8 million, with plans to pair tokenized stocks with meme coins—claims that sparked a sharp rally in related meme tokens. Twenty minutes ago, Rune posted a clarification, noting that the earlier disclosed plan (“acquiring a Nasdaq-listed company and tokenizing its equity on Robinhood Chain”) was actually a post generated by Claude, with all related data being fabricated or exaggerated.

Insight: Beating AI Flash News – Google officially launches Gemini 3.8 Flash. The new model continues to focus on long-duration software engineering and autonomous agents, with a context window of approximately 1 million tokens and a maximum output of 65,000 tokens. Google’s hosted Antigravity Agent has been set to default to 3.8 Flash. In Google’s own benchmark comparison, 3.8 Flash took first place in 8 out of 14 test groups. DeepSWE v1.1 rose from 65.3% to 71.0%, approaching Opus 5’s 74.0%. Terminal-bench 2.1 hit 89.4%, slightly outperforming Opus 5’s 89.1% and GPT-5.6 Sol’s 88.8%. It also scored top marks in financial agents, legal agents, complex chart reasoning, and long-video comprehension. However, it did not outperform the flagship model across the board. Terminal-bench 4.0 scored only 19.1%, compared to Opus 5’s 51.8%. OSWorld-2.0 also lagged behind Opus 5’s 75.4% with a score of 59.0%. 3.8 Flash currently charges $0.75 per million input tokens and $3.75 per million output tokens, matching the pricing of 3.7 Flash. Both unit prices are only 15% of Opus 5’s. The discount is valid through December 31, and will double on January 1, 2027.