1/ Solana onchain governance is live🗳️
Validators can now propose, support, and decide core protocol decisions via Solana Governance Proposals (SGPs)
These are fully onchain, stake-weighted, and verified by Merkle proof 👇
1/ Announcing Ethereum Institutional
An independent non-profit dedicated to accelerating the institutional adoption of Ethereum, its L2s, applications and overall ecosystem.
Today, the EF is changing shape, concluding a months-long process of reorganization as part of the implementation of the Mandate and the Treasury Management Policy.
We come out of this process with the structure, activities, and people necessary for execution on the critical tasks ahead of us, but also with 54 fewer colleagues, roughly 20% of the EF, many of whom will be finding ways to contribute to Ethereum from outside the EF in the coming weeks.
Find a brief introduction to the new structure, and learn more about how we are supporting the people who are leaving in the full post below:
Announcing Ethlabs: a non-profit R&D lab for Ethereum and ETH
Our mission is to make Ethereum the settlement layer of the global economy.
The internet became global because shared protocols created a common language between networks. Private systems remained useful, but bounded. Finance is approaching a similar moment. As value, assets, and markets become digital, the world needs shared settlement infrastructure.
Ethereum is uniquely positioned to become that shared base layer, the neutral foundation on which users, institutions, and agents can transact without intermediation.
What we believe:
• We believe credible neutrality matters. Ten years of uptime and the lowest counterparty risk. Ground that cannot be pulled away by any one country, institution, company, or person.
• We believe ETH matters. The most valuable, programmable store of value. A decade of broad distribution, deep liquidity in onchain markets, and maximally trustless asset on Ethereum.
• We believe DeFi matters. Markets, liquidity, credit, exchange, and coordination, open to anyone.
• We believe adoption matters. Principles do not change the world until people benefit from them.
We sit between two worlds: real usage from the builders at the frontier, and the protocol that has to support it. We work with users, applications, wallets, L2s, infrastructure teams, institutions, ETH holders, core devs and researchers, then turn what they actually need into protocol work, shared standards, infrastructure, and shipped products.
Ethlabs is independent but Ethereum is a shared project. We are one node in a much larger network of stewards. This is the multi-node future.
We have spent the better part of the past decade contributing to Ethereum core research and development.
We are opinionated and transparent. We move with urgency, learn in public, and course-correct when we’re wrong.
We are building a lean, talent-dense team for people who want to do the most important work of their careers: [email protected]
Public Beta is live.
Trade real US stocks and ETFs alongside crypto, perps, and yield, all within one account.
Real ownership under New York law. Cash dividends, brokerage transfers, and corporate actions rolling out during Public Beta.
24/5. Instant execution. Traditional market liquidity.
No fees in June: https://t.co/iDxg2wGAwr
Today, Mastercard, @OndoFinance, Kinexys by @JPMorgan, and @Ripple successfully completed a landmark transaction connecting a public blockchain with interbank settlement rails.
Together, we’re laying the groundwork for 24/7 global markets that never close.
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.