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Today's News Recap
Rule Repeal - US House votes to repeal IRS crypto tax rule and overturn Biden-era DeFi broker rule, sending measure to Trump’s desk.
Global Growth - Coinbase receives approval to offer crypto trading in India.
Tech Team-up - Japanese tech giants Sony and LINE join forces in blockchain deal.
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In Messari News
New Research Podcast
At ETHDenver 2025, we sat down with the founders of Decharge to discuss how they’re building the energy infrastructure of the future—scalable, autonomous, and powered by Web3. With deployments across the U.S., Europe, and Asia, Decharge’s decentralized EV charging network is solving critical gaps in global charging accessibility.
By integrating robotic charging arms, DePIN incentives, and AI-powered smart contracts, Decharge enables seamless machine-to-machine energy transactions for EVs, drones, and autonomous fleets. As the world transitions to a fully electrified and autonomous future, Decharge is setting the foundation for a trillion-dollar machine economy.
Top Assets
Messari Quarterly Reports
Messari's protocol reports give you a deep dive on the foundation and state of top crypto protocols, including key metrics and notable events. See the complete list of protocol reports here and get a preview of our latest report below.
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Messari Research
The Multi-Modal Shift: Augmenting AI with Rich Data
By: Andrew Dyer
The shift toward multi-modal AI training—integrating text, images, audio, and video—significantly enhances model capabilities, enabling richer context understanding and new emergent abilities. The creation of massive datasets such as InternVid, OpenHumanVid, and VALID has substantially improved AI realism, accuracy, and functionality. However, assembling these expansive datasets remains challenging due to issues of scale, cost, and ethical considerations. Grass Protocol addresses these challenges by using decentralized infrastructure that efficiently crowdsources web-based multi-modal data at unprecedented scale—recent network upgrades notably boosted its capacity, solidifying Grass's central role in powering future AI model training.
