Trump: Considering Gradual De-escalation of Military Action Against Iran
BlockBeats News, March 21st, U.S. President Trump tweeted that as they consider gradually de-escalating all major military actions taken against the Iranian regime in the Middle East, they are very close to achieving their stated goals:
1. Thoroughly weaken Iran's missile capabilities, launch systems, and all related facilities.
2. Destroy Iran's defense industry base.
3. Eliminate Iran's naval and air forces, including air defense weapon systems.
4. Under no circumstances allow Iran to even come close to possessing nuclear capabilities; at the same time, the U.S. must always maintain a posture to be able to respond rapidly and forcefully should such a situation arise.
5. Protect U.S. allies in the Middle East at the highest level, including Israel, Saudi Arabia, Qatar, the United Arab Emirates, Bahrain, Kuwait, and other countries.
Trump stated that the protection and patrol of the Strait of Hormuz should be undertaken by other countries using the strait when necessary, and the U.S. will no longer assume this responsibility. If invited to assist, the U.S. is willing to support these countries' operations in the Strait of Hormuz, but once the Iranian threat is completely eliminated, such assistance will be unnecessary. Importantly, for these countries, this will be a straightforward military operation.
You may also like

Who is the true winner of the "Tokenization" narrative?

Moss: The Era of AI-Traded by Anyone | Project Introduction

Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition

When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer

Google, Circle, Stripe Flock Together to Let AI Spend Money: Payment Giants' Joys and Worries in 2026 Q1

$100 Billion Factory Purchase: Bezos and Middle Eastern Capital Shift AI Money from Cloud to Shop Floor

Xiaomi and MiniMax both unleash their ultimate moves, signaling the start of the Agent Pricing War.

Predicting markets has taken the spotlight, but the Perp DEX has been quietly waging war on traditional exchanges.

Is the Market Slump Still Making Millions a Day? Is pump.fun's Revenue Real?

Understanding x402 and MPP in One Article: The Two Paths of Agent Payments

Quick Look at the Latest 18 Graduation Projects from Alliance: Who's the Next Pump.fun?

It's not just the prediction market that profits from the Iraq War
Who is the true winner of the "Tokenization" narrative?
Moss: The Era of AI-Traded by Anyone | Project Introduction
Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.