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US military used Anthropic for Iran strike despite Trump’s ban: WSJ

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Crypto Breaking News

The US military reportedly relied on Anthropic’s Claude AI during a major air strike in Iran, a development that surfaced just hours after President Donald Trump ordered federal agencies to halt use of the model. Commands in the region, including CENTCOM, reportedly used Claude to support intelligence analysis, target vetting, and battlefield simulations. The episode highlights how deeply AI tooling has been woven into defense operations even as policymakers push to cut ties with certain vendors. The episode underscores a tension between executive directives and on-the-ground automation that could influence procurement and risk management across defense programs.

Key takeaways

Sentiment: Neutral

Market context: The episode sits at the intersection of defense procurement, AI ethics, and national-security risk management as agencies reassess vendor dependencies and the classification of AI tools for sensitive operations.

Why it matters

The incident offers a rare glimpse into how commercial AI models are integrated into high-stakes military workflows. Claude, originally designed for broad cognitive tasks, reportedly supported intelligence analysis and the modeling of battlefield scenarios, suggesting a level of operational trust that extends beyond lab environments into real-world missions. This raises important questions about the reliability, auditing, and controllability of AI in combat planning, especially when government policy signals shift rapidly around vendor usage.

At the policy level, the friction between a contracting relationship and a presidential directive highlights a broader debate about how AI vendors should be treated in secure environments. Anthropic’s refusal to grant unrestricted military use aligns with its stated ethical boundaries, signaling that private-sector providers may increasingly push back against configurations they deem ethically problematic. The Pentagon’s response—turning to alternative suppliers for classified workloads—illustrates how defense departments may diversify AI ecosystems to reduce risk exposure, while maintaining capability in sensitive operations.

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The tension also touches on the competitive dynamics of the AI-as-a-service market. With OpenAI reportedly stepping in to provide models for classified networks, the sector is likely to witness continued experimentation and renegotiation of terms around security classifications, data governance, and supply-chain risk. The situation underscores the need for rigorous governance frameworks that can adapt to rapid technological change without compromising operational security or ethical standards.

What to watch next

  • Regulatory and policy updates from the Defense Department and the White House regarding AI vendor usage and security classifications.
  • Any new procurement or partnerships that extend AI capabilities for classified missions, including potential agreements with alternative providers to replace or supplement Anthropic’s offerings.
  • Public statements from Anthropic and OpenAI about the nature of deployments on secured networks and any new restrictions or guardrails.
  • Further details on the outcome of the earlier unrestricted-use negotiations and how that will shape future defense contracting with AI vendors.

Sources & verification

  • Reports about Claude’s use in a Middle East operation and the administration’s halt order, including evidence discussed with sources familiar with the matter.
  • Background on Anthropic’s Pentagon contract, including the multiyear arrangement worth up to $200 million and partnerships with Palantir and AWS for classified workflows.
  • Statements from Anthropic’s leadership and public comments on military use and ethical boundaries, including interviews and official responses to regulatory actions.
  • OpenAI’s deployment on classified networks and related discussions, including public discourse around a deal with the U.S. military and associated coverage.
  • Public discussions and social-media references connected to the OpenAI arrangement with the military, such as posts documenting industry reactions.

Anthropic’s Claude in the crosshairs: AI, ethics and policy collide in defense operations

Officials described Claude as playing a role in intelligence analysis and operational planning during a major air strike in Iran, a claim that illustrates how close AI tools have moved to battlefield decision-making. While the Trump administration moved to sever ties with Anthropic, the operational use of Claude reportedly persisted in certain commands, underscoring a disconnect between policy statements and day-to-day defense workflows. The practical reality is that AI-driven analyses, simulations, and risk assessments can slip into mission planning even as agencies reassess vendor risk and compliance requirements across departments.

The Pentagon’s prior engagement with Anthropic was substantial: a multiyear contract valued at up to $200 million and a network of partnerships, including Palantir and Amazon Web Services, that enabled Claude’s use in classified information handling and intelligence processing. The arrangement highlighted a broader strategy: diversify AI capabilities across a trusted ecosystem to ensure resilience in sensitive settings. Yet when policy directions shifted, the administration moved to reframe the vendor relationship, signaling a risk-based recalibration rather than a wholesale retreat from AI-enabled defense operations.

Behind the scenes, tensions between public policy and private sector ethics came to the fore. Defense Secretary Pete Hegseth reportedly pressed Anthropic to permit unrestricted military use of its models, a request that Anthropic’s leadership rejected as crossing ethical lines the company would not cross. The firm’s stance centers on the belief that certain uses—mass domestic surveillance and fully autonomous weapons—raise profound ethical and legal concerns, and that meaningful human oversight should survive the transition from concept to execution. This position aligns with ongoing debates about how to balance rapid AI adoption with safeguards against abuse and unintended consequences.

For its part, the Pentagon did not stand still. Facing a potential supplier gap, it began lining up replacements and reportedly reached an agreement with OpenAI to deploy models on classified networks. The shift underscores a broader strategic move to ensure continuity of capability, even as vendors re-evaluate their terms for sensitive deployments. The contrast between Anthropic’s ethical boundaries and the department’s operational needs reveals a broader policy tension: how to harness transformative technology responsibly while preserving national security imperatives.

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Industry observers also noted the ecosystem effects of such transitions. The AI market is evolving toward more modular, security-cleared configurations that can be swapped or upgraded as policy and risk assessments shift. The OpenAI arrangement, in particular, signals continued appetite for integrating leading models into defense networks, albeit under stringent governance and oversight. While this trajectory promises enhanced capability for military analysts and planners, it also elevates scrutiny around data handling, model interpretability, and the risk of over-reliance on automated systems for critical decisions.

Anthropic’s CEO, Dario Amodei, has argued that while AI can augment human judgment, it cannot replace it in core defense decisions. In public remarks, he reaffirmed the company’s commitment to ethical boundaries and to maintaining human control in pivotal moments. The tension between maintaining access to cutting-edge tools and upholding ethical standards is likely to shape future negotiations with federal agencies, particularly as lawmakers and regulators scrutinize AI’s role in civilian and national-security contexts.

As the landscape evolves, the broader crypto and tech communities will be watching how these policy and procurement dynamics influence the development and deployment of advanced AI systems in high-stakes environments. The episode serves as a case study in balancing rapid technological advancement with governance, oversight, and the enduring question of where human responsibility ends and automated decision-making begins.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Oil, silver trading is way more popular than XRP, SOL on Hyperliquid

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Hyperliquid's perpetual rankings. (Hyperliquid)

Traders on decentralized exchange Hyperliquid are favoring traditional commodities like oil and silver, trading them more aggressively than crypto tokens such as XRP (XRP) and solana (SOL).

Perpetual futures contracts tied to crude oil benchmarks WTI and Brent have recorded a combined trading volume of over $500 million in the past 24 hours. The silver contract alone accounted for more than $412 million in trades.

By trading activity, oil and silver contracts now far outpace SOL and XRP perps, which posted $176 million and $31 million in volume, respectively. For context, both XRP and SOL have multibillion-dollar market caps and rank among the world’s largest cryptocurrencies.

This trend comes as commodities have turned highly volatile amid the ongoing Iran conflict, which has disrupted crude supply through the strategic Strait of Hormuz — a critical chokepoint for roughly 20% of global oil shipments. It underscores Hyperliquid’s emergence as a go-to platform for price discovery in commodities, especially over weekends when traditional markets are closed.

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Hyperliquid's perpetual rankings. (Hyperliquid)
Hyperliquid’s perpetual rankings. (Hyperliquid)

Brent and WTI crude prices have surged more than 45% this month, the kind of returns typically seen in memecoins. The rally has pushed oil above $100 a barrel, sending inflationary shocks worldwide and drawing renewed attention to commodities as a sector of interest amid heightened geopolitical and market risks.

The uncertainty shows no signs of abating, suggesting Hyperliquid’s energy markets could continue to see heavy activity and potentially challenge bitcoin and ether’s dominance. Perpetual contracts tied to the two tokens still remain the most traded on the exchange, posting 24-hour volumes of $1.94 billion and $990 million, respectively.

Iran said early Monday that the Strait of Hormuz would be “completely closed” immediately if the U.S. follows up on President Donald Trump’s threat to attack its power plants.

The stark warning came after Trump said the U.s. would obliterate Iran’s power plans if Tehran fails to fully allow oil tankers to pass through the Strait within 48 hours.

In the meantime, analysts at investment banking giant Goldman Sachs have lifted their oil price forecasts amid the ongoing supply disruption.

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They now see the Brent crude averaging $100 a barrel over March-April, up from a prior forecast of $98, and implying a roughly 62% premium to their full‑year 2025 outlook. The bank also revised its full‑year 2026 Brent average higher to $85 a barrel, while maintaining a robust $80 average for 2027.

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Resolv stablecoin drops 70% after $80 million exploit after attacker mints USR

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(CoinDesk)

A stablecoin is supposed to be worth a dollar. Resolv’s USR is worth 27 cents and the math to fix it doesn’t work.

Resolv Labs confirmed over the weekend that a malicious actor gained unauthorized access to protocol infrastructure through a compromised private key and minted approximately $80 million in uncollateralized USR. The team paused smart contracts and burned roughly 9 million of the illicitly minted tokens, but the damage was already done.

Unlike smart contract bugs that can be patched, key compromises are infrastructure failures that no amount of code auditing can prevent.

Current USR supply consists of 102 million pre-incident tokens plus approximately 71 million illicitly minted tokens that are still circulating. The protocol holds roughly $95 million in assets as of Monday morning, down from $141 million cited in Resolv’s initial statement as redemptions drain what’s left.

Against total liabilities of approximately $173 million in outstanding USR, that’s a collateralization ratio of roughly 55%.

(CoinDesk)

If pre-incident USR holders redeem first, which is what Resolv is facilitating through an allowlist process targeting March 23, the $95 million in assets gets absorbed by the 102 million in legitimate USR. That’s roughly 93 cents on the dollar for those who get through the door.

USR is trading at $0.27 on CoinGecko, down 72% over the past week and 61% in the past 24 hours alone. The 24-hour range stretched from $0.14 to $0.82, reflecting chaotic trading as the market tried to price in the exploit’s severity. Daily volume hit $8.4 million against a market cap of just $54 million, meaning a significant chunk of the remaining supply changed hands in a single day.

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DeFiLlama data shows Resolv’s TVL peaked near $684 million in February 2025 before declining through the year to around $95 million pre-exploit. The protocol had raised $10 million in funding and was generating roughly $5.28 million in annualized fees. That revenue stream is now effectively dead.

Ledger CTO Charles Guillemet said in an X post that the exploit “will create bad debt on some lending markets, particularly in specific pools,” flagging that some Morpho pools using USR as collateral had already been exited.

Resolv said the underlying collateral was not directly compromised and that the attack came through “unauthorized third-party actions, including a targeted infrastructure compromise and cyberattack.” The team said it was working with law enforcement and onchain analytics firms and would “pursue all available avenues to recover assets.”

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The protocol strongly advised against trading USR or related Resolv tokens while recovery measures are being implemented, adding that “actions of users during post-exploit period may affect the recovery,” a line that suggests trading could complicate any future claims process.

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Blockchain Messaging Adoption Rising in Line With Global Unrest

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Blockchain Messaging Adoption Rising in Line With Global Unrest

Decentralized, blockchain-based messaging and social media apps saw a surge of interest over the last year amid civil unrest and communication blackouts in the Middle East, Asia and Africa. 

Search interest in decentralized social media has grown 145% over the last five years, according to Exploding Topics, while decentralized peer-to-peer messaging service Bitchat saw a spike in downloads during protests in Madagascar, Uganda, Nepal, Indonesia and Iran in recent months.

Search interest in decentralized social media has spiked in the last five years. Source: Exploding Topics

“I think people are starting to trust open protocols more than they trust closed companies,” Shane Mac, the CEO of XMTP Labs, told Cointelegraph in a recent interview.  

XMTP Labs is a startup focused on building decentralized communication technology. Mac said that unrest around the world is pushing people to explore decentralized messaging options and think more about privacy.

WhatsApp, the messaging app owned by social media giant Meta, said in February that Russia had moved forward with its block on the app, making it inaccessible without a VPN or similar workaround.

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“The last 15 years have been centralized, and the next 15 are going to decentralize. When you see an entire country shut down single apps, it tells you that there has to be a new foundation that we need to go build on,” added Mac. 

“Open source is having a moment. Open protocols, open financial systems, open communication protocols, open identity standards. It’s going to be a really cool next era of the internet as decentralization and open standards come back.”

No single point of failure 

Mac said decentralized networks can provide a safe harbor during turmoil as they’re typically harder to shut down without a single point of failure.

Decentralized platforms are generally hosted across networks spanning multiple countries, with servers managed by their participants. 

In comparison, centralized options run on a single collection of servers controlled by one entity or company, which can be blocked and taken offline more easily. 

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