Ethereum Layer-2 TVL has fallen to its lowest level in two years. Here is what declining liquidity means for ETH, rollups, stablecoins and investors.

Strategy has paused Bitcoin purchases for five weeks while building a US$3.75 billion cash reserve. Here is what the shift means for MSTR shareholders, Bitcoin and Michael Saylor’s famous accumulation strategy.

Core Scientific’s long-term AI infrastructure agreement with AMD is the latest sign that Bitcoin miners are becoming data-centre operators. But if miners divert power away from Bitcoin, what happens to hashrate, network security and mining profitability and what should investors watch?

KOSPI plunges 8% as Samsung and SK Hynix lead a global chip selloff, fuelling fears over AI spending, China’s CXMT and a deeper semiconductor bust in Q3 2026.

Prediction markets began as fringe experiments often dismissed as gambling. They are now emerging as governance tools: systems that surface distributed knowledge, discipline decision-making, and reduce reliance on authority-driven judgment in complex environments.

Prediction markets tend to outperform polls, expert forecasts, and media narratives for a simple reason: they punish error. By tying beliefs to consequences, they filter noise from conviction and transform dispersed information into probabilistic signals that update faster than traditional forecasting systems.

Discover 5 incredible AI-assisted websites created with ChatGPT and AI tools. From news reimagined to life trackers, these no-code projects prove anyone can build amazing web experiences in 2025.

The U.S. capture of Venezuelan president Nicolás Maduro has triggered this explosive claim: Venezuela alledgedly accumulated up to 660,000 Bitcoin, nearly 3% of total supply, through gold conversions and oil-for-crypto settlements.

Rug pulls are often framed as unpredictable scams driven by deception and hype. Research on decentralized exchanges shows something more precise: most rug pulls follow detectable transactional patterns shortly after a token is created, and these patterns can be identified early using on-chain data rather than smart contract code alone

Bitcoin rocketed to four-week highs above $93,000 following the dramatic U.S. ousting of Venezuelan President Nicolás Maduro, igniting a risk-on frenzy across crypto markets despite analyst warnings of fragile momentum and potential pullbacks.

Prediction markets are no longer curiosities or betting venues. In an internet overwhelmed by opinion, incentives, and narrative distortion, they are quietly emerging as one of the few systems capable of producing reliable signals about reality.

As crypto systems collide with institutions, AI, and regulation, privacy is no longer a philosophical debate. It turns into an operational necessity. History shows that privacy becomes the feature that separates durable infrastructure from fragile transparency.

Who can you trust in the metaverse… and why? Research finds that trust in virtual worlds cannot be solved by centralized moderation or reputation scores alone. Instead, it must emerge from verifiable identity, reputation, and incentive systems built into the architecture itself.

Much of today’s digital economy is built on surveillance rather than value creation. Privacy-preserving crypto systems quietly challenge this model by changing who captures information, who extracts value, and who bears risk & reshaping incentives.

Why are databases still dramatically faster than blockchains? Research from BLOCKBENCH shows the gap is not due to poor engineering, but to fundamentally different design assumptions. Databases optimize for efficiency under trust, while blockchains trade speed for consensus, replication, and Byzantine fault tolerance.

Wash trading is often dismissed as a niche manipulation tactic or an enforcement problem. The research paper Network-Based Detection of Wash Trading shows something more troubling: wash trading is deeply embedded in market structure, invisible to traditional surveillance, and only becomes legible when exchanges are analyzed as networks rather than price feeds.

Most online misinformation today is copied, edited, paraphrased, and stripped of context until it no longer resembles its original meaning. A recent research paper proposes a quieter but more powerful solution: instead of judging whether text is true, make it possible to verify whether it has been altered from its original source.