Bybit has launched BILL and simultaneously introduced a 20 million BILL Token Splash Trading Competition.

On May 4, Bitget market data shows: - Brent crude surged above $110/bbl, up 2.27% intraday; - WTI crude jumped 4% intraday, last trading at $106.26/bbl; - Spot silver plunged 3% intraday, last at $73.47/oz; - Spot gold dropped below $4,570/oz, down 1.06% intraday. News update: Iran’s Fars News Agency reported two missiles struck a U.S. warship.

**May 4 (via AXIOS) —** U.S. President Trump is frustrated with the Iran stalemate of “no deal, no war,” and his efforts to break the impasse could ultimately reignite conflict. A senior U.S. official said: “The President wants to act. He doesn’t want to sit on his hands. He wants to apply pressure. He wants a deal.” Last Thursday night, Trump reviewed a plan to force Navy ships through the Strait of Hormuz—but at the last minute, he chose a more cautious path, at least initially. Starting Monday, the U.S. Navy will help guide U.S.-flagged and other commercial vessels through the strait, instructing them on mine avoidance and preparing to intervene if Iran attacks. U.S. officials note there’s no current plan for full naval escorts; instead, Navy ships will be “on standby” in the area, alongside U.S. military aircraft.

May 4: Bitcoin plunged 1.5% suddenly within 10 minutes per HTX market data, dropping below $79k to a current price of $78,724. Separately, per Iran’s Fars News Agency, a U.S. warship ignored Iranian warnings today and attempted to approach the Strait of Hormuz. Iran fired two missiles at the vessel, prompting it to turn back.

On May 4, Iran’s Fars News Agency reported two missiles struck a U.S. warship. (Golden Finance)

May 4: Tether minted an additional 1 billion USDT on the TRON network one hour ago, per data from Lookonchain. Over the past two weeks, the stablecoin issuer has minted a total of 5 billion USDT.

On May 4, an AI community user going by "X Freeze" posted that mainstream AI models—including ChatGPT, Claude, and Gemini—have demonstrated "less alignment with conservative stances" on issues like gender, immigration, and crime, prompting questions about potential systemic biases in their value orientations. The post argues that as AI capabilities advance rapidly, the "value alignment" process may be shaped by training data and design mechanisms, resulting in a tendency toward consistency on certain public issues. This has sparked discussions in the community about "training data bias" and "model design orientation." To date, major AI development organizations typically state that their model training aims to improve information accuracy and security, and reduce bias via diverse data and evaluation mechanisms—but debate over AI value neutrality persists.