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**U.S. Retaliatory Actions "Soon" Over Riyadh Embassy Drone Attack, Iran-Related Casualties** March 3 — Former President Donald Trump said U.S. retaliatory measures over the drone attack on the U.S. Embassy in Riyadh and U.S. military casualties in Iran-related conflicts will be announced “soon.” He added the U.S. does not need to deploy ground troops to Iran. Saudi Arabia’s Ministry of Defense said in a social media post a preliminary assessment found two drones struck the U.S. Embassy compound in Riyadh, sparking a small fire and minor material damage. Multiple sources reported the incident happened early Tuesday with no embassy staff present; no casualties have been reported. Black smoke was visible over Riyadh’s diplomatic quarter. The embassy later issued a shelter-in-place notice for U.S. citizens in Riyadh, Jeddah, and Dharan. Sen. Marco Rubio said at a press conference the U.S. faces an “imminent threat,” noting the U.S. is aware of Israel’s plans to take action agains

**March 3 Update: AI-Government Collaboration Debates Intensify** Controversy over Anthropic’s partnership with the U.S. Department of Defense (DoD) is escalating. OpenAI CEO Sam Altman posted snippets of an internal email on social media outlining the company’s core principles for working with the DoD: *“We will not build autonomous weapons without human oversight.”* The move is widely seen as a public contrast amid the Anthropic debate. Tech commentator Packy McCormick, citing Ben Thompson, highlighted the so-called “Hype Tax”: *“If you don’t want the government to treat your tech like a nuclear weapon, don’t frame it as one yourself.”* The commentary critiques some AI firms for overhyping technological disruption, noting this framing could backfire in policy and regulation. Since OpenAI announced its DoD collaboration, the ChatGPT mobile app’s uninstall rate has spiked sharply in the U.S. Market intelligence firm Sensor Tower reports that on Saturday, Feb. 28, ChatGPT’s dai

**SlowMist Launches MistTrack Skills for AI Agent On-Chain Risk & AML Detection** On March 3, SlowMist announced the launch of MistTrack Skills—an offering that equips AI Agents with on-chain address risk analysis and anti-money laundering (AML) detection capabilities. Against the backdrop of rapid growth in the AI Agent and Skills ecosystem, the tool enables Agents to conduct automated address-level security assessments before carrying out transfers, swaps, or other on-chain transactions. Built on MistTrack’s OpenAPI, the solution leverages official data showing MistTrack has indexed more than 400 million on-chain addresses and 500,000 threat intelligence data points. It supports risk analysis across major public chains including Bitcoin, Ethereum, TRON, BNB Smart Chain, Solana, and Sui. API functionalities include address label queries, risk scoring, transaction investigation, fund flow tracking, counterparty analysis, and asynchronous risk task modules. Developers can ac

March 3 — Fox News reports U.S. Special Envoy to Iran Malley said Iranian officials insist they have the right to enrich uranium under the international agreement. He noted reaching a deal with Iran is impossible, describing his meeting with Iranian officials as fruitless. (Xinhua)

On March 3rd, Alibaba’s AI model Qwen announced the launch of its Qwen 3.5 Small Model Series, which includes four variants: Qwen3.5-0.8B, Qwen3.5-2B, Qwen3.5-4B, and Qwen3.5-9B. Built on the same Qwen3.5 technology foundation, these small models boast native multimodality, an enhanced architecture, and scaled reinforcement learning (RL). Their key highlights are: - 0.8B/2B: Compact size and fast performance, ideal for edge devices - 4B: A lightweight multimodal foundational model for intelligent agents, with standout performance - 9B: Compact yet with a steadily narrowing performance gap against larger models Elon Musk publicly lauded Alibaba’s Qwen model, stating, “Impressive intelligence density.”