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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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Crypto World

World Liberty Moves Toward WLFI Unlock Vote After Complaints

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World Liberty Moves Toward WLFI Unlock Vote After Complaints

Decentralized finance (DeFi) platform World Liberty Financial said Friday it plans to put forward next week a governance proposal that would set a phased unlock schedule for WLFI tokens held by early retail purchasers.

The Trump family-linked DeFi platform said the proposal will be opened for community input before proceeding to a formal vote. According to the project, the vote will not cover a full, immediate unlock, but instead a structured, long-term vesting plan designed to release tokens in stages. 

WLFI tokens remain largely locked for early buyers, with transferability tied to governance-approved unlocks. Tokenomist data shows that about 24.67% of WLFI’s 100 billion token supply has been released, while roughly 75.33% remains locked or pending future unlock decisions.

The proposal could determine when early buyers can finally access liquidity in WLFI, whose use is largely limited to governance. It comes as some holders publicly push back against the prolonged lockups and threaten legal action.

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The concerns add to earlier governance decisions around token restrictions. On March 16, WLFI token holders approved a proposal introducing a six-month lock-up rule for certain transfers, marking one of the first formal changes to the project’s transferability framework.

Allocations for WLFI tokens. Source: Tokenomist

Retail buyers challenge prolonged WLFI lockups

World Liberty’s early sale materials said WLFI tokens were non-transferable and could remain locked indefinitely, with any future unlock subject to a governance vote no earlier than 12 months after the token sale and with no guaranteed timeline.

That 12-month threshold has already passed, with WLFI’s public sale beginning around mid-October 2024, placing the current proposal roughly 18 months after the initial sale. The company raised at least $550 million from WLFI token sales across two funding rounds.

Some self-identified WLFI presale buyers have publicly complained that most of their holdings remain locked, even as parts of the broader token supply have become transferable. 

At least one self-identified buyer said they had filed legal notices and were pursuing claims in the United States and the Netherlands against World Liberty Financial and its backers. Cointelegraph could not independently verify that any lawsuit had been filed. 

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Cointelegraph reached out to World Liberty Financial for comments, but had not received a response by publication. 

Related: WLFI proposes governance staking system and USD1 usage incentives

Onchain borrowing activity adds to holder concerns

One community member said in an X post that the project’s borrowing activity raised concerns among token holders, questioning how treasury funds were being used. Onchain data shows that World Liberty Financial’s treasury borrowed roughly $75 million in stablecoins from Dolomite using WLFI as collateral.

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