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Trump releases an AI video claiming to "bomb" Iran's Kharg Island, but the actual target of the U.S. military's strike is Larak Island.

58 minutes ago

U.S. President Donald Trump posted two AI-generated videos on Truth Social late Sunday, with the caption "Khark Island was blown to smithereens". The videos show oil fields, storage tanks and docks being hit by missile strikes and exploding. However, there is currently no evidence that the U.S. military actually attacked Khark Island. U.S. Central Command stated that the U.S. military carried out "limited and precise" strikes on an Iranian Revolutionary Guard Corps (IRGC) mine-laying unit on Sunday, targeting the area near Larak Island in the Strait of Hormuz, aimed at eliminating an imminent threat to commercial shipping and civilian vessels. Notably, Khark Island and Larak Island are far apart; the former, located deep in the Persian Gulf, is Iran’s main oil export hub. It remains unclear whether the AI videos posted by Trump were produced by his team, or whether he confused Larak Island with Khark Island. The IRGC subsequently claimed it had launched ballistic missiles at two U.S. military bases in Jordan. Jordan’s authorities said its air defense systems intercepted 8 missiles, with no casualties reported. Hamid Bovard, CEO of the National Iranian Oil Company, said Monday that oil operations at Iran’s Khark Island have not stopped, denying Trump’s earlier post claiming the island’s key oil hub was destroyed.

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SHEIN’s contract on Hyperliquid plunged nearly 15% in a short period, breaking below its IPO price range.

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WTI and Brent crude oil both rose more than 3% on the day.

According to Bitget market data, both US WTI and Brent crude oil rose more than 3% intraday, currently trading at $85.54 per barrel and $90.86 per barrel respectively.

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Bitcoin holds above $78,000, the Japanese yen falls below the 160 threshold, and a strengthening US dollar continues to weigh on the crypto market.

Bitcoin is currently trading near the $78,000 level, down 0.04% over the past 24 hours, and still up around 1% over the past week. A stronger U.S. dollar and shifting interest rate expectations have weighed on the broader crypto market, with Solana and Dogecoin leading losses of around 2%, followed by Hyperliquid and XRP; Ethereum, BNB, Zcash, and TRON remained largely flat. Meanwhile, the Japanese yen fell below the 160 level against the U.S. dollar, trading near that threshold in Tokyo markets. Market strategists believe that a further depreciation of the yen to around 161 could trigger intervention, while the 162-163 range would face stronger intervention pressure. Following Federal Reserve Chair Waller’s speech at Jackson Hole, market expectations for higher U.S. interest rates rose, bond investors began pricing in the possibility of a Fed rate hike, and the U.S. dollar strengthened accordingly. This round of interest rate repricing has previously led institutional funds to pull out of Bitcoin ETFs. August 31 marks the final trading day of the month, so the market will closely monitor monthly fund flows into Bitcoin ETFs.

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CREAO Raises Additional $10 Million, Enabling AI Agents to Self-Modify Their Harnesses After Each Failure.

Beating AI Express: Enterprise agent platform CREAO has secured a new strategic funding round of tens of millions of U.S. dollars, bringing its total raised capital to over $30 million. CREAO’s current focus is on iterative self-improvement of its "Harness" layer, which enables agents to continuously adjust their execution systems based on errors and feedback from real-world tasks. The Harness layer sits above the underlying model, governing how agents operate, covering functions such as task planning, tool invocation, memory management, model selection, and error handling. CREAO has already implemented partial automated error correction: after an agent completes a task, the system automatically reviews the output; if issues are detected, it generates a ticket, and an AI then investigates the root cause, drafts fixes, and validates the results. The new version is first tested with a small volume of real user traffic, with automatic rollback if performance declines. CREAO’s team has previously unveiled this system. Moving forward, CREAO plans to extend this improvement to more components of the Harness layer. For example, if a category of agents repeatedly makes errors with a specific tool or task workflow, the platform can adjust its entire execution approach based on data from numerous real-world tasks, and newly created agents of the same category can directly leverage these optimizations. Looking ahead, CREAO also plans to integrate some of these learnings into its models. The company plans to conduct post-training for open-source models tailored to vertical scenarios, so that common tasks can be handled more by lower-cost specialized models, while complex tasks will still call for state-of-the-art models.

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Tether CEO: Approximately 650 million people indirectly hold U.S. Treasury bonds, and stablecoins have enabled U.S. Treasuries to achieve "decentralized holding" for the first time.

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DeFi lending's active loan volume has climbed to $26.1 billion, marking a nearly 30% rise over two months.

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