The US Senate has passed housing legislation that includes a ban on the Federal Reserve creating or working on a central bank digital currency (CBDC) until 2030, which is expected to be quickly taken up and passed by the House.

The Senate on Monday voted 85-5 to pass the 21st Century Road to Housing Act, which aims to increase the housing supply after a bipartisan group of House and Senate leaders reached a deal last week to move forward with the legislation. 

The bill has included a CBDC ban since the Senate first passed a version of the bill in March, which outlines that the Fed may not, directly or indirectly, “issue or create a central bank digital currency or any digital asset that is substantially similar to a central bank digital currency.”

Crypto advocates have long criticized CBDCs, which they see as an attempt by governments to bring digital currency under central bank control, and the bill is set to be a win for Republicans who have for years attempted to ban CBDCs.

The bill will now be sent to the House for a vote, where it is expected to pass quickly with the deal struck by House leaders last week, before it’s then sent to the president to sign it into law.

The CBDC clause in the bill became wrapped into the housing package as a political sweetener to secure support from House Republicans and the administration for faster passage.

Related: South Carolina governor signs bill protecting Bitcoin miners, banning CBDC

The ban makes a carve-out for stablecoins, or any “dollar-denominated currency that is open, permissionless, and private,” and that even after the CBDC ban lifts in 2030, the Fed can’t act on a CBDC without explicit congressional authorization.

A section of the housing bill banning the Federal Reserve from creating a CBDC. Source: Senate Banking Committee

Meanwhile, other nations are charging ahead with their plans for a CBDC.

Reuters reported on June 16 that China signed up 26 financial institutions to its digital yuan (e-CNY) cross-border payment platform.

Three countries have officially launched a CBDC, while 41 are in the pilot phase, 33 are in development, and 40 are still researching, according to the think tank Atlantic Council.

Magazine: Bitcoin decouples from tech stocks, Ether eyes ‘selling wave’: Market Moves

XRP is running out of room. After spending most of June trapped between resistance overhead and support near $1.10, the token is once again testing the bottom of its range.

While the latest decline was small, the inability to build on recent rebounds has left traders focused on whether buyers defend support or finally give way after weeks of compression.

News Background

• XRP ETFs attracted another $2.4 million in inflows on June 20, extending a run of institutional buying even as retail sentiment weakened.

• Analysts continue to watch the year-long downtrend from XRP’s 2025 highs, with several identifying $1.28-$1.30 as the level needed to change the broader structure.

• Network activity has softened in recent weeks while futures positioning and open interest have drifted lower.

Price Action Summary

• XRP fell from $1.1313 to $1.1109 during the 24-hour session, losing 1.8%.

• The sharpest selling came during a June 22 reversal when volume jumped to 65.4 million XRP, roughly 84% above average.

• Price spent most of the session grinding lower before testing support near $1.10 into the close.

Technical Analysis

• The market remains trapped inside the same range that has defined trading for much of June.

A widely watched indicator has flipped to “altcoin season,” for the opposite reason the label suggests. Glassnode’s Altcoin Cycle Signal, which reads above 50 when alternative coins, or alts, outperform bitcoin, has climbed to 86. Alts are not rallying. Bitcoin is just falling faster than they are.

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The signal tracks relative performance, so alts can lead either by rising or by falling less. This is the second case. After nearly two years of declines, alts have run out of sellers and steadied, while bitcoin has dropped hard, sliding back toward $63,600, per CoinDesk data. Bitcoin, as Glassnode puts it, “is still doing most of the work.”

A real altcoin season has capital rotating into smaller tokens as they climb. This is the hollow version, where the reading turns bullish for alts because bitcoin is selling off, which is bearish for the market as a whole. Relative strength is not a rally.

Until alts start rising on their own rather than holding while bitcoin falls, the signal says more about bitcoin’s weakness than about demand for anything else.

It explicitly says that adversaries may already be collecting encrypted U.S. data, or information mathematically scrambled into an unreadable format to protect it from unauthorized access, and could decrypt it in future with the help of quantum computers.

That’s the “harvest now, decrypt later” problem. Steal the locked box today, crack it open whenever the tool to do so finally exists.

The fix, according to the order, is a hard post quantum cryptography (PQC) migration timeline. Federal agencies must move their most sensitive systems to post-quantum cryptography for key establishment by the end of 2030, and for digital signatures by the end of 2031.

In other words, the government plans to replace the current method for setting up secure, encrypted connections with a new way that remains secure from future quantum computers.

The crypto angle

Quantum computing has been a buzzword in the crypto industry since Google researchers said a sufficiently powerful machine could crack Bitcoin’s blockchain with significantly less firepower than previously expected.

The March paper, co-authored with Ethereum Foundation researcher Justin Drake and Stanford cryptographer Dan Boneh, said that breaking the elliptic curve cryptography behind Bitcoin and Ethereum blockchains could take fewer than 500,000 physical qubits. That’s a 20-fold drop from earlier estimates.

Bitcoin fell toward $63,000 on Tuesday, caught in a broad retreat from risk as investors pulled out of the technology stocks that have led markets all year.

The token traded around $63,640, down 0.9% over 24 hours and 3.3% on the week, per CoinDesk data, after touching about $65,076 on Monday and sliding through the session. The selling was marketwide. Ether fell 0.9% to $1,719 and is also down 3.3% on the week, XRP dropped 1.6% to $1.12 for a 9% weekly loss, solana lost 3.4% to $71 and dogecoin slid 6.6% over seven days.

Tron was the rare gainer, up 1.3% on the day and 4.6% on the week. Hyperliquid’s HYPE fell 4.8% on the week.

The pressure came from outside crypto. A rotation out of this year’s best-performing technology and chip shares sank global equities, with a gauge of Asian stocks falling more than 2% after a record close and South Korea’s Kospi plunging more than 6% on fears that the rally in chipmakers had run too far.

US President Donald Trump signed two executive orders on Monday to push to build a quantum computer and to focus on creating cryptography that can resist quantum attacks.

The orders aim to take a “cohesive, whole-of-government approach” to accelerate the deployment and commercialization of quantum computing and “protect sensitive technologies and work with allies to ensure adversaries cannot use QIST [Quantum Information Science and Technology] to undermine national security.”

The orders come as China ramps up its quantum computing ambitions following the announcement of its “Five-Year Plan” in March, which aims to expand investment in scalable quantum computers and the development of an integrated space-earth quantum communication network. 

Source: The White House

Trump’s orders state that within 180 days, relevant agencies must update the National Quantum Strategy to support commercialization and industry partnerships. 

Various agencies are also tasked with identifying implications of increasing scale and performance of commercial quantum computers, “such as the implications for the migration to post-quantum cryptography.”

Related: Researchers say quantum computers could, in theory, be ready by 2030

The order also establishes Quantum Computer for Application Development and Discovery Science (QC-ADDS), a national effort to pursue the development of a quantum computer at a scale intended to “initiate the era of quantum-enabled scientific discovery.”

Focus on post-quantum cryptography

The other executive order aims to secure the US against quantum-assisted cryptographic attacks and is more focused on upgrading to post-quantum cryptography.

“We’re going to be investing in American quantum leadership like never before to stay ahead of the pack,” Trump said.

The order directs the Office of Management and Budget and the National Cyber Director to lead an accelerated, nationwide migration to post-quantum cryptography, ensuring the nation’s data stays secure as quantum technology evolves. 

“The advent of large-scale quantum computers, particularly in the hands of adversaries, will pose a significant threat to widely used cryptographic security systems,” the order said. 

Major crypto blockchains such as Ethereum and Solana have already started working on post-quantum roadmaps, while the Bitcoin community is still divided on how to approach securing old coins against the quantum threat.

Magazine: Nobody knows if quantum secure cryptography will even work 

Ethereum co-founder Vitalik Buterin has challenged internet users to identify an anonymous Ethereum document he says he wrote earlier this decade. 

The post turns a privacy debate into a public test of AI text analysis.

Buterin said there have been claims that AI text analysis will make online anonymity hard to keep. He then wrote, “So let me cannibalize a piece of my own anonymity to do an experiment.” He asked users to find a published Ethereum document that he wrote without using his name.

The document has not been named. Buterin described it as a medium-importance Ethereum document and estimated that around 200 to 2,000 Ethereum documents are as important or more important. He added, “Find it,” while noting that he did not know how easy or hard the task would be.

Challenge puts stylometry back in focus

The test centers on stylometry, a method that compares writing style, word choice and structure to link text to an author. Researchers and investigators have used this type of analysis for years, but newer AI tools can scan far larger sets of writing faster than manual methods.

Buterin is a strong test case because he has a large public writing record. His public work includes blog posts, research notes, Ethereum discussions, social media posts and technical comments. That broad record may give AI tools more material to compare against any anonymous Ethereum text.

No one had publicly confirmed a successful identification of the document at press time. That leaves the experiment open and makes the result hard to judge until Buterin or another reliable source confirms a match.

Related Ethereum and AI debate grows

The challenge also fits with Buterin’s recent focus on AI safety and privacy. As crypto.news earlier reported, Buterin urged a local-first approach to AI, warning that cloud-based tools can expose user data and create risks from leaks, manipulation and unwanted actions.

He has also linked AI to Ethereum development. crypto.news reported in May that Buterin said AI-assisted formal verification could become the “final form” of software development. That report noted his view that AI could help Ethereum ship code with machine-checkable proofs of correctness.

The latest test looks at another side of AI. Instead of using AI to improve code or security checks, it asks whether AI can weaken anonymity by finding a writer behind a text. For Ethereum, that matters because many contributors use pseudonyms when they write, build or discuss protocol ideas.

Privacy remains central to Ethereum discussions

The experiment also comes after crypto.news reported that Buterin mapped a three-step Ethereum privacy upgrade in May. That plan focused on account abstraction with FOCIL, keyed nonces and access-layer work to reduce metadata leaks and censorship risks.

Those privacy efforts deal mainly with transactions and user activity. Buterin’s latest test moves the privacy debate into authorship. It asks whether writing style itself can become a data trail, even when a person avoids using a real name.

For now, the challenge has no confirmed answer. It may show that AI can trace pseudonymous authors through writing patterns, or it may show that anonymity still holds when the search area is large. Either outcome would add fresh context to the wider debate over AI, privacy and Ethereum’s open contributor culture.