Tide LP

The trenches are calling and I must go.

So you say your LP will be in range most of time? Signed me up!

This may be Anthropic’s closest brush with crypto yet, and it points to a new narrative: verifiable inference that keeps model weights private. FlashProve is a research prototype tested on Llama 4 Maverick, not a deployed Claude feature. Its proof protects model weights; it doesn’t by itself guarantee private chats. It begins with a question: If you pay for a premium model but get a cheaper one, how do you prove it? How it works: - Before the chat, the provider publishes a fingerprint of the model’s weights. Change the weights, change the fingerprint. - After the chat, selected tokens are checked: does each match the committed integer model’s greedy next-token choice? The prototype supports contexts of up to 1,024 tokens. - The provider returns a proof you can verify, without downloading the model, seeing weights, or running it. Where crypto fits with this: - Decentralized AI marketplaces: a potential application is auditing selected outputs for consistency with the committed model, helping detect model substitution. - ZK systems/rollups: similar idea to rollups proving state updates, except here the proof is “what would this model output next?” (zkML progress). - DeFi agents (AgenticFi)/oracles: proofs can verify the model’s output, but not whether the inputs (like price feeds) were correct. To me, Agenticfi feels like it could spark the next big shift in finance such as: - @priors_trade - @kudo_archi - @Infinit_Labs - @Tide_lp - @Moshdottrade Agent MMs - And many more Especially as AI gets smarter and more of the asset world moves on-chain through tokenization.

We’re bullish on tokenized stocks because moving equities onchain doesn’t just mirror its value, it unlocks entirely new ways to deploy the capital beneath them. At @paboxoxyz, that begins with borrowing against stock tokens: tap liquidity without giving up exposure to the underlying stock, with real interest and liquidation risk, plus off‑market mechanics designed from zero specifically for tokenized equities. It’s awesome and genuinely fun, but we know it’s not enough. So we’re pushing into the next edge: using liquidity provider (LP) positions as collateral via @Uniswap v4 Hooks. The setup is hard to ignore. As of writing, there’s already $161M+ in LP positions tied to tokenized stocks, yet composability is still missing. An LP market could make this possible. A liquidity provider could borrow against their position without pulling it from the pool, keeping their shot at earning trading fees while unlocking capital at the same time. But we’re not rushing it. Doing this right takes more than slapping a price tag on an LP token: the asset mix shifts, fees can underperform, and stock‑market closures make valuation messy, exactly the problems we’re working through. This is the exploration we’re most excited about. Our thesis is straightforward: tokenized stocks aren’t just “single stock” assets. Whatever form they evolve into becomes far more powerful once it can plug into trading, liquidity provision, and credit. We’re building in that direction. -- P.S.: Paboxo doesn’t have a token yet, and we’ll be partnering with @Moshdottrade to launch one in the future.

Markets get choppy. Your liquidity needs a plan! Tide’s AI monitors conditions, adjusts ranges, and knows when to hold steady with every decision visible. You choose the assets. Tide manages the liquidity. Built for bad weather. tidelp.com

@Tide_lp - solana:utP3y4LCfPtGSBNDE96fz7CWH6AZe2whU2yVmMWpump - $55K 🟢 Anthropic pre-IPO vaults, powered by @longdotxyz, are integrated into Tide, putting pre-IPO tokens under AI-managed liquidity with the agent's decisions, range adjustments and execution on the vault page. xitter.gq/Tide_lp/status/2116203… 🧵 85/88