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Crypto prices today (Feb. 23): SOL, HYPE, ZEC decline sharply as BTC falls below $65K

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Crypto prices today (Feb. 2): BTC dips below $75K, XRP, LINK, XMR slide amid market crash


Crypto prices today fell as Bitcoin dropped below $65,000 and altcoins posted steeper losses amid rising tariff uncertainty. The crypto market opened the week under pressure. Total market capitalization fell 4.2% in the past 24 hours to $2.3 trillion. Bitcoin…

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Pentagon’s AI hit 1,000 targets

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US lawyers are adopting AI faster than ever despite sanction

The latest AI news artificial intelligence US military Iran war 2026 debate has crystallized around one figure: in the first 24 hours of Operation Epic Fury on February 28, the US military struck more than 1,000 targets in Iran using Palantir’s Maven Smart System with Anthropic’s Claude embedded inside it — a pace CENTCOM head Admiral Brad Cooper confirmed publicly, and one that human rights experts say has raised serious questions about AI-assisted targeting and civilian harm.

Summary

  • CENTCOM Commander Admiral Brad Cooper confirmed in a March 11 video statement that US forces are “leveraging a variety of advanced AI tools” that allow commanders to make decisions “faster than the enemy can react,” with tasks that previously took hours or days now completed in seconds
  • Palantir’s Maven Smart System with Anthropic’s Claude embedded processes satellite imagery, drone feeds, radar data, and signals intelligence into prioritized target lists with GPS coordinates, weapons recommendations, and automated legal justifications — what previously required roughly 2,000 intelligence analysts now reportedly requires approximately 20
  • A US strike on a girls’ elementary school in Minab killed over 165 civilians, according to Iranian reports; the Pentagon is investigating whether the school was on an AI-assisted target list, and more than 120 House Democrats have demanded answers

The latest AI news artificial intelligence US military Iran war 2026 story is both a technological milestone and a humanitarian reckoning. According to IBTimes, more than 1,000 targets were struck in the first 24 hours of Operation Epic Fury on February 28 — more than double the air power deployed during the entire opening phase of the 2003 Iraq invasion. That pace is only possible with AI. A human-led targeting process would have required thousands of analysts working for weeks to generate and validate that many aim points.

The system at the center of it is Palantir’s Maven Smart System, running on Anthropic’s Claude large language model. Maven fuses classified feeds from satellites, surveillance drones, and archived intelligence into a unified platform. Claude synthesizes that information into prioritized target lists, complete with precise GPS coordinates, weapons recommendations, and automated legal justifications for strikes.

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Admiral Brad Cooper confirmed the AI role in a publicly released video statement: “These systems help us sift through vast amounts of data in seconds so our leaders can cut through the noise and make smarter decisions faster than the enemy can react. Humans will always make final decisions on what to shoot and what not to shoot and when to shoot. But advanced AI tools can turn processes that used to take hours and sometimes even days into seconds.”

Cooper did not identify specific AI systems by name. What the statement left unaddressed was Maven’s reported accuracy rate: approximately 60%, compared with 84% for human analysts in some assessments.

The School Strike and the Accountability Gap

The most serious accountability question surrounds a US strike on the Shajareh Tayyebeh girls’ elementary school in Minab that killed over 165 civilians. The school was reportedly on a target list generated with AI assistance. Pentagon officials said outdated intelligence contributed to the strike and a full investigation is underway. More than 120 House Democrats have formally demanded answers about AI’s role. As warfare expert Craig Jones told Democracy Now!, AI targeting is “reducing a massive human workload of tens of thousands of hours into seconds and minutes” — but “automating human-made targeting decisions in ways which open up all kinds of problematic legal, ethical and political questions.”

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The conflict carries direct implications for commercial tech. Iran has explicitly named Palantir, Google, Microsoft, Amazon, and other US companies as legitimate military targets because of their infrastructure’s role in the war. Iranian strikes have already damaged AWS data centers in the UAE and Bahrain. As crypto.news reported, Iran has demonstrated willingness to strike economic and technology infrastructure across the Gulf — a threat that now extends to the commercial cloud backbone powering US AI military systems.

What the Iran war has confirmed, as analysts have begun calling it “the first AI war,” is that commercial AI and warfare are no longer separate domains. As crypto.news noted, every escalation in this conflict reaches financial markets within hours. The AI targeting dimension adds a new layer of systemic risk: not just military escalation, but the weaponization of commercial technology infrastructure itself.

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Democrats Question CFTC Chair on Insider Trading in Prediction Markets

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Government, CFTC, Trading, Prediction Markets

The seven House members may have affirmed the commission‘s authority over prediction markets, but asked questions about its inaction on insider trading.

Seven members of the US House of Representatives sent a letter to Commodity Futures Trading Commission (CFTC) Chair Michael Selig, asking for information on the agency’s inaction on insider trading on prediction markets and event contracts related to war and conflicts.

In a Monday letter, the seven US lawmakers said that the CFTC had the authority under the Commodities Exchange Act “to apply its rules and regulations for the purpose of preventing evasion of the [act’s] underlying swap provisions.” The statement signaled that the representatives affirmed Selig’s position that the commission had jurisdiction over prediction markets.

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However, the House members expressed concerns about how the CFTC was policing “morally obscene” event contracts, including those on US military actions in Iran and Venezuela — in those cases, there were suspicious trades related to the timing and outcomes of US military involvement. 

“Such corrupt trades deserve swift and decisive oversight,” said the letter. “Allowing these contracts to persist raises troubling concerns about the Commission’s desire and capacity to fulfill a global regulatory role.”

Government, CFTC, Trading, Prediction Markets
Source: Representative Seth Moulton

The legal battles over regulating prediction market platforms like Kalshi and Polymarket are being waged both at a federal and state level. Several US state gaming authorities have filed lawsuits alleging that the companies are illegally offering sports bets, while the CFTC, under Selig, claims that the event contracts on the platform amount to swaps and fall under its federal regulations.

The seven House members requested that Selig respond to their six questions by April 15.

Related: Polymarket bags 97% of onchain prediction market fees after pricing overhaul

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In one of the most recent legal decisions, the US Court of Appeals for the Third Circuit affirmed a lower court ruling blocking New Jersey gaming authorities from filing enforcement actions against Kalshi. Two out of three circuit judges said that the company had a ”reasonable chance of success” in arguing that federal commodities laws preempted state authorities.

CFTC enforcement director says agency is “watching” for insider trading

The Monday letter followed CFTC enforcement director David Miller responding to concerns over insider trading, which has also resulted in legislation proposed by Democrats. According to Miller, the commission would only prosecute instances “against those who tip or trade with misappropriated information,” but not dedicate resources to “trivial” cases.

Magazine: All 21 million Bitcoin is at risk from quantum computers

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