The future of AI and LLMs is not bigger datasets. It is knowing the smallest dataset that forces the whole. My new arXiv paper proves a canonical test for exactly that: What finite fragments are enough to certify the hidden structure underneath them.

COINBASE BECOMES OFFICIAL USDC TREASURY DEPLOYER FOR HYPERLIQUID @Coinbase officially partners with @HyperliquidX to act as the protocol’s primary treasury deployer for $USDC. Under the newly activated AQAv2 framework, both Coinbase and @Circle are staking $HYPE to unify liquidity and designate $USDC as the canonical quote asset for all HIP-4 markets. This strategic transition includes Coinbase acquiring the $USDH brand assets from @NativeMarkets while sharing the vast majority of reserve yield revenue directly with the protocol.

The shitshow happening with second- and third-layer SPVs is exactly what awaits the RWA scene in crypto with tokenized stocks. @Bullish acquiring Equinity, and folks like @Securitize bringing canonical shares on-chain, is key here. But I suspect we'll end up with tens of other wrappers equity-in-stock SPVs, debt notes, you name it. We won't get many shots at this. We need to do it right.

POV: a top-10 exchange just got drained for $400M. Your timeline is 90% panic screenshots, 10% "stay safu." The guy with 40 incident-response memes pre-loaded on @2u2ai? He's not posting a take. He's posting the canonical reaction. By the time CT writes the post-mortem, his memes are already the post-mortem. #MemeLayer#