DeFi @monad
DM me to talk about liquidity, volume, incentives, growth and DeFi in general on Monad
Previously: @0xFastLane MEV research, Ex C11 Labs HFT
Compute is a fundamental resource for the AI industry, powering training, post-training, inference and more in the AI pipeline.
Yet it's volatility, with H100 spot going from $8 to a range between $2 - $4 in just two years, has hardly been hedgeable.
This is changing now. GPU-hours are becoming benchmarked, financialized, and traded, and this article explores the rise of the compute capital markets: who are the players, what's required for compute standardization and who will eventually dominate the market.
We are signaling the near-future direction of Monad: becoming the blockchain that delivers MEV-resistance, while also improving on industry-leading performance.
This will be delivered through two major research innovations: Cadence (announced today) and Encrypted Mempools via BTX (last month).
Cadence in particular is @category_xyz’s novel MCP protocol, featuring 100ms block times and 200 ms finality, by taking pipelining to the logical conclusion and interleaving block proposals.
The team has been implementing for several months and we’re excited to show you what’s next. The work builds upon what’s already great about Monad - async execution, deterministic RaptorCast, and a carefully designed, modular consensus system - so the path to delivering this, while hard, is doable.
Fundamentally, we believe that decentralized systems can deliver the best of all worlds - trust minimization, pre-trade privacy, fast finality, reliability, and global access - and we’re here to prove it.
Introducing the @metamask Money Account, live exclusively on Monad
Your new account that earns yield in DeFi with a card that spends straight from it. A new era of personal finance starts now - only possible on Monad
Get started with one click: https://t.co/W4NqXiyDIE
Sol is our new flagship and a step function better than GPT-5.5.
Terra delivers performance competitive to GPT-5.5 at 2x lower cost.
Luna is our most cost-efficient model, delivering strong capability at our lowest cost.
Together, the GPT-5.6 family gives people and developers more choice in how they balance intelligence, speed, and cost.
Having a meeting and inferring the counterparty is in Europe because their hair is blowing in one direction from a fan obscured by the virtual background
@keoneHD I want to nominate:
1. @crypto_gourmet OG- I always see this guy at every web3 event with the same "Airdrops/io" t-shirt
we also share the same name
2. @TradersPse -