Features

Base rode SocialFi, memecoins and AI agents to the top of Ethereum’s layer-2 ladder before turning inward to rebuild its core stack.

ECB president Christine Lagarde is a crypto skeptic, but her likely successors are no more enthusiastic about cryptocurrencies.

Stablecoin ecosystem A7A5 has faced accusations of sanctions evasion and, according to some analysts, is creating an alternative, sanctions-free financial network.

Crypto’s reputation is improving, but investors still complain that their banks are blocking their accounts for interacting with digital assets.

The EU regulated blockchain earlier than most major economies. Its sandbox now tests whether dialogue unlocks innovation inside legal fences.

The CLARITY Act moved quickly through the House of Representatives since it was introduced in June 2025 but has been plagued with delays in the Senate.

Post-quantum Bitcoin wallets are already on sale, leaving investors to decide whether they’re buying insurance or paying up fear tax.

The current market downswing could be driven by institutional investors exiting positions, as crypto still presents too much risk for them.

High TPS figures promise scale, but every additional transaction increases the burden on the very nodes meant to keep networks decentralized.

Super Bowl LX featured 10 ads for different AI products, and some observers believe it could be a sign that the AI financial bubble will soon burst.

Crypto super PACs are getting millions of dollars in contributions to spend supporting candidates who will advance their policies in Washington.

A new report finds most crypto press releases come from high-risk projects, raising questions about disclosure, hype and market manipulation.

Some crypto executives are explaining the nature of the business relationships with disgraced financier and sex offender Jeffrey Epstein.

Activity on Solana has spiked as new AI tech makes it easier than ever to launch memecoins. Meanwhile, Ethereum is plugging away at future-proofing and bringing down fees.

AI training is dominated by hyperscale data centers, but inference and everyday workloads are opening real space for decentralized GPU networks.