House Republicans shut down an Iran war powers resolution on April 10, with Speaker Pro Tempore Chris Smith gaveling the pro forma session to a close before Maryland Democrat Glenn Ivey could propose limiting President Trump’s authority to continue the war with Iran.

In a move that lasted seconds, House Republicans prevented Democrats from forcing a war powers vote on April 10. The brief pro forma session ended before Representative Glenn Ivey of Maryland could formally request unanimous consent to advance a resolution limiting Trump’s Iran war authority.

Rep. Glenn Ivey rose during the pro forma session and asked colleagues to “pass an Iran war powers resolution by unanimous consent.” Before he could finish, Republican Speaker Pro Tempore Chris Smith gaveled the session closed. According to Democracy Now!, Congress then adjourned until 2:30 PM on Monday, April 13, 2026.

The war powers resolution would have invoked the War Powers Resolution Act of 1973, which requires congressional authorization for sustained military engagements. The US-Iran conflict has exceeded the law’s 60-day threshold.

Why Democrats Are Pushing and Republicans Are Blocking

Democrats have argued the Iran conflict requires formal congressional authorization to continue, particularly as the six-week war has disrupted global energy markets and kept Bitcoin locked in a $65,000 to $73,000 range. As crypto.news reported, Bitcoin’s every move higher during the conflict has been directly tied to ceasefire chatter, and every breakdown has triggered rapid selloffs.

Republicans have declined to limit presidential war powers during active negotiations, arguing that constraining Trump’s authority while diplomats are at the table in Islamabad would weaken Washington’s negotiating position with Tehran.

What Happens Next

Congress returns on April 13, the same day the Senate resumes from Easter recess and the same week the CLARITY Act Banking Committee markup is targeted. Democrats are expected to renew their push on the war powers resolution, though their path remains blocked without a Republican willing to break ranks.

As crypto.news noted, markets are watching whether the Islamabad talks produce a durable agreement before Congress reconvenes. Any breakdown in the ceasefire negotiations could immediately reignite volatility across oil and crypto markets, making April 13 a convergence point for regulatory, geopolitical, and market risk simultaneously.

AI crime solving tools are being adopted at an accelerating pace by police agencies across the United States, with results that can be dramatic but that experts and civil liberties advocates say come with serious risks of false leads, wrongful investigations, and violations of due process.

The use of artificial intelligence by American law enforcement is no longer experimental. According to The Washington Post, police agencies across the country are deploying AI tools to help investigators analyze evidence, flag patterns, and generate leads faster than traditional methods allow. The results have drawn attention. So have the concerns.

AI tools are being used across US law enforcement for functions including facial recognition, predictive policing, evidence analysis, and cross-database pattern matching. The technology allows investigators to process information at a scale and speed that would not be possible manually, and law enforcement officials say it has helped close cases that might otherwise have gone cold.

The CIA has signaled a parallel move in the intelligence community. As crypto.news reported today, CIA Deputy Director Michael Ellis confirmed the agency plans to integrate AI co-workers across all analytic platforms within two years to help officers identify foreign intelligence trends and draft reports, with Ellis stating the CIA “cannot allow the whims of a single company to constrain our capabilities.”

What Experts Are Warning About

The concerns raised by researchers and civil liberties advocates center on three main areas: the accuracy of AI-generated leads, the lack of transparency in how AI systems reach their conclusions, and the potential for errors to harm innocent people before they can be identified and corrected.

AI systems trained on biased data can generate biased outputs, and in a law enforcement context, a false lead from an AI tool can trigger surveillance, questioning, or arrest before the error is caught. As crypto.news noted, AI has already demonstrated its ability to scale deceptive operations in financial and digital contexts, with blockchain intelligence firm Elliptic warning that “the vast majority of AI-related threats in crypto are in their infancy” while urging vigilance.

The Accountability Question

The deepest concern is structural: when an AI tool generates a lead that leads to a wrongful investigation, who is accountable? Law enforcement agencies have not yet produced clear answers on oversight, audit mechanisms, or remediation. The Washington Post’s April 10 reporting suggests the adoption of these tools has accelerated faster than the accountability frameworks meant to govern them.

Prediction markets around NASA’s Artemis II mission have drawn traders to stake on outcomes and post-flight statements. The ten-day crewed lunar flyby, featuring four astronauts aboard the Orion spacecraft, has become a focal point for market-based event contracts hosted on platforms like Kalshi and Polymarket. The mission, launched from Florida on April 1, is expected to return to Earth with a splashdown around 12:07 am UTC on Saturday, capping a voyage that aims to be the first crewed lunar encounter since the Apollo era.

As of Friday, the volume on Artemis-related event contracts hovered at just over $4,000, illustrating a nascent but real appetite for space events among prediction-market participants. A number of contracts revolved around whether Artemis II would achieve a lunar milestone and what NASA officials would say during the post-splashdown news conference. Kalshi’s market book also included a Moon-landing contract with probabilities pegged at 63% for a manned lunar landing by 2030 and 41% for 2029, underscoring a mixed sentiment on timing.

Key takeaways

• Prediction markets show early-stage liquidity around Artemis II, with around $4k in volume recorded to date.
• Traders are wagering on post-landing remarks, with bets focusing on NASA’s press conference content and potential references to radiation, damage, or political terms.
• Artemis II marks NASA’s first crewed lunar flyby in more than five decades, setting the stage for future lunar milestones and a planned 2028 lunar landing target.
• Separately, Nvidia-backed Starcloud unveiled plans to mine Bitcoin from space, signaling broader ambitions for space-based infrastructure in crypto operations.

Artemis II and the evolving role of prediction markets

Kalshi and Polymarket have offered event contracts tied to Artemis II, including a direct Moon-landing bet and ancillary outcomes tied to mission communications. Market participants have shown particular interest in what NASA will say during the splashdown news conference, with several contracts centered on language and topics that could emerge in that briefing. The modest liquidity — just over $4,000 in trading volume as of Friday — suggests a cautious audience: investors are testing the waters on high-profile space events without yet embracing large-scale risk.

NASA’s Orion spacecraft completed the Moon flyby with a four-person crew after liftoff from Florida on April 1. Artemis I — NASA’s 2022 precursor mission that orbited the Moon without a crew — paved the way for Artemis II, which aims to validate life-support, navigation, and other deep-space systems ahead of planned crewed landings by 2028. If the timelines hold, Artemis II’s success would lend credibility to future spaceflight milestones and could influence how markets price similar event risk in the future.

Space mining and the broader narrative

Beyond the Moon mission, the crypto space is intersecting with space infrastructure in other ways. In March, Starcloud, an Nvidia-backed orbital data center company, announced plans to mine Bitcoin from space. The plan envisions deploying solar-powered orbital data centers with ASIC miners to operate in Earth orbit, a concept that would blend aerospace and crypto hardware in a way few projects have attempted. CEO Philip Johnston described the approach as a long-range endeavor that leverages the inexhaustible energy of space to power mining operations.

While space mining remains speculative, the news highlights a broader appetite among crypto and tech firms to explore cross-domain applications of blockchain technology and computational power. In the near term, Artemis II market activity demonstrates how prediction markets continue to adapt to high-profile events outside traditional finance, even as questions about liquidity, market integrity, and regulatory oversight linger — particularly for bets tied to geopolitical developments.

Looking ahead, Artemis II’s splashdown and NASA briefings will shape how these markets price space event risk, while regulators’ responses to geopolitics bets may influence the future of prediction-market platforms.

AI cybersecurity is now a formal competitive front between OpenAI and Anthropic, with OpenAI finalizing an advanced security product for a limited partner release and Anthropic running a tightly controlled effort called Project Glasswing aimed at finding critical software vulnerabilities before attackers do.

Artificial intelligence has moved from a tool that helps defenders understand threats to one that can independently find and exploit vulnerabilities. OpenAI and Anthropic are now building directly into that space, with implications for governments, enterprises, and the millions of software systems that underpin global financial infrastructure.

OpenAI is finalizing an AI cybersecurity product with advanced capabilities and plans to release it initially to a limited partner group, according to Tech Startups. Anthropic is running a parallel effort internally called Project Glasswing, a tightly controlled initiative designed to hunt down critical software vulnerabilities before malicious actors find them first.

The dual announcements mark a shift in how the two leading AI labs are positioning themselves. Both are moving from general-purpose AI into security-specific products with direct offensive and defensive capability. The question is no longer what AI can do in cybersecurity. It is who controls it and who is accountable when it goes wrong.

What Anthropic’s Track Record Shows

Anthropic has already demonstrated the scale of what AI security tools can achieve. As crypto.news reported, the company limited access to its Claude Mythos Preview model after early testing found it could uncover thousands of critical vulnerabilities across widely used software environments, including a 27-year-old bug in OpenBSD and a 16-year-old remote execution flaw in FreeBSD. Anthropic said: “Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely.”

Industry data cited by Anthropic shows a 72% year-on-year increase in AI-powered cyberattacks, with 87% of global organizations reporting exposure to AI-enabled incidents in 2025. Project Glasswing is being positioned as Anthropic’s controlled effort to stay ahead of that curve.

The Risk of Dual-Use AI Security Tools

The deeper issue for regulators and the industry is that the same AI tool that finds a vulnerability defensively can find it offensively. As crypto.news noted, a joint study by Anthropic and MATS Fellows found that Claude Sonnet and GPT-5 could produce simulated exploits against Ethereum smart contracts worth $4.6 million in testing, and uncovered two novel zero-day vulnerabilities in nearly 3,000 recently deployed contracts.

That dual-use reality makes the controlled rollout strategies both companies are pursuing essential. But the question of whether limited access is enough to prevent proliferation is one neither lab has fully answered.

Investors piled $269.3 million into BlackRock’s iShares Bitcoin Trust on Thursday, in its best-performing day since early March, around the time the US-Iran war started to kick into high gear. 

The inflows helped to end two days of net outflows among the 12 US spot Bitcoin ETFs, which recorded a net inflow of $358.1 million.

Bitcoin ETF inflows are just one way to gauge retail and institutional demand for Bitcoin.

The Fidelity Wise Origin Bitcoin Fund (FBTC) brought in the second most inflows at $53.3 million, while the new Morgan Stanley Bitcoin Trust (MSBT) was the next biggest contributor, recording $14.9 million on its second day of trading, according to data from Farside Investors.

The Bitcoin ETFs issued by Bitwise and ARK 21Shares saw $11.7 million and $4.8 million worth of inflows, while Franklin Templeton and VanEck’s Bitcoin products tallied around $2 million.

BlackRock’s IBIT has now seen $1.5 billion worth of net inflows this year, withstanding a broader crypto market pullback, which has seen Bitcoin’s price fall from a 2026 high of $97,000 to $72,100 at the time of writing.

BlackRock’s digital assets head, Robert Mitchnick, said in March that investors of BlackRock’s IBIT have shown to be “disproportionately long-term buy and hold” investors — even when there’s been strong selling pressure elsewhere in the Bitcoin ecosystem.

Related: Bitcoin may hit $110K as Strategy absorbs nearly 3x new BTC supply 

Meanwhile, Morgan Stanley’s digital asset head, Amy Oldenburg, noted in an interview with Bloomberg on Thursday that MSBT was the institutional bank’s best-performing ETF launch ever.

“This is just the first of a long roadmap of new products on the asset management side,” Oldenburg said. 

Morgan Stanley has also filed to list a staked Ether (ETH) ETF and Solana (SOL) ETF.

With the latest day of inflows, US spot Bitcoin ETFs are now close to tipping back to a year-to-date net inflow. 

The Bitcoin ETFs finished 2025 at $56.59 billion in net inflows and are currently at $56.51 billion, meaning that they’re just $80 million away from clawing back to their inflow figures at the start of the year. 

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