I’ve never really been convinced by most “cross-chain” solutions. At the end of the day, a lot of them still rely on bridges, wrapped assets, or giving up some level of control over your funds. And every few months there’s another bridge exploit reminding everyone how fragile that setup is. That’s why @WireNetwork stood out to me. Their Universal Transaction Layer (UTL) isn’t trying to move assets around from chain to chain. Assets stay where they already are, on their native chain, while Wire handles the coordination layer across networks. No bridging. No wrapping assets. No extra custody risk. It just makes more sense. What’s also interesting is that they’re building this with AI agents in mind from the start. If autonomous agents are going to transact across different ecosystems, they’ll need infrastructure that can actually work across chains without all the usual friction. Wire Network is definitely thinking ahead instead of patching old problems. wire.network

My early reflections from the operating reality of the first Zero-Human Company comes a clear message: autonomous AI agents are simultaneously ending old business models and birthing an entirely new economic order. Persistent memory, agent marketplaces, always-on execution, and human judgment as the ultimate premium are reshaping every industry. These are just some of my early reflections that show the transformation is accelerating faster than anyone predicted.

The biggest consumers of DeFi infrastructure in the next few years won't be people. They'll be AI agents. Here's what I mean: Think about what a DeFi power user looks like today: someone actively swapping, bridging, chasing yield across chains. Now imagine software doing all of that, 24/7, across every chain simultaneously. That's agentic commerce. And it's the direction things are heading. 1️⃣ So what does this actually look like in practice? Two interaction models are forming: 1. Agent-to-Site: You set your preferences once. The AI researches, compares options, and executes the transaction. You're not involved beyond the initial setup. 2. Agent-to-Agent: No human on either side. One AI representing the buyer, another representing the seller. They negotiate and settle in milliseconds. The web2 version is already live: in-chat purchases, AI shopping assistants, commerce protocols backed by major retailers. But all of it still runs on traditional rails. Cards, banks, and human identity at every step. 2️⃣ Why does this lead to crypto? For agents to operate at real scale, they need to: → Custody their own assets → Settle instantly across borders → Run 24/7 with no human sign-off → Transact with other agents autonomously Traditional finance doesn't offer any of this to a machine. Blockchains do: permissionless wallets, programmable money, instant finality. The only infrastructure where software is a first-class economic actor. 3️⃣ The bottleneck Blockchains give agents the right financial layer, but the ecosystem is fragmented: → 200 chains → Hundreds of DEXs, bridges, liquidity sources → Each with different APIs and failure modes An agent working across Ethereum, Solana, Arbitrum, and Base needs separate integrations for each. That overhead has nothing to do with the agent's actual goal. It's pure plumbing. 4️⃣ LI.​FI approach @lifiprotocol has been building the routing and execution layer for onchain value movement for years. One integration point replaces dozens of individual bridge, DEX, and protocol connections. What they recently shipped for AI agents: → MCP Server: 15 structured tools any LLM-powered agent can call directly. Compatible with Claude, Cursor, Windsurf, VS Code Copilot. → Agent skills: cross-chain execution packaged as standardized skills across major agent directories. Add swaps, bridging, and DeFi workflows to any agent in minutes → AI-first docs: machine-readable llms.txt, full OpenAPI spec, decision tables, five-call recipes, error playbooks, runnable code samples with retry logic. Agent = decision-maker. LI.​FI = execution layer. No team should spend months wiring bridge integrations when they can plug into infrastructure already powering the biggest names in crypto and focus on building what makes their agent actually smart.

If "Polymarket" contract exploited why $POL is leaving the contracts and not $USDC?

JUST IN: @Krakenfx is replacing @LayerZero_Core with @chainlink to bridge assets across blockchains, joining $3B in TVL that has migrated since the $292M @KelpDAO exploit.

Three major hacks in just 4 days! On May 15, #THORChain was exploited, with stolen funds exceeding $10M. On May 18, the Verus-Ethereum Bridge (@VerusCoin) was hacked, with ~$11.5M stolen. Today, @EchoProtocol_ was exploited, the hacker minted 1,000 $eBTC ($76.64M) and has already used it to steal 385 $ETH($821K). Stay safe.

We built @Surf_Liquid AI that trades @Polymarket sports markets while you sleep. Six weeks. 34 upgrades. 605 paper trades. All three strategies profitable. $3,737 in returns. Here's what it actually does: → Listens to live score data from every match on Polymarket simultaneously → Runs sport-specific probability models on every single score change → Finds the moments when the market hasn't repriced fast enough → Executes before the odds catch up → Tennis modelled point by point. Soccer is modelled by goal rate. Hockey and basketball are built differently. → One generic model doesn't survive contact with real sports. So we built one engine per sport. Three strategies. One AI. Three risk levels: 1. Conservative: strictest signals, lowest drawdown. Your money is treated like savings. 2. Active: wider signal range, more trades, more upside, more variance. 3. Calibrated: the interesting one. Same signals as Active, but every probability runs through a self-correction layer first. If the model says 80% but history says 73%, it trades the 73. Gets smarter every day. Here's the part I want to talk about. In late April, we caught ourselves inflating our P&L. The bot was assuming fills at the quoted price. Real markets don't work that way. You walk the order book. Every batch fills worse than the last. We shipped an honest fill simulation. Our paper P&L dropped meaningfully the same day. That drop is the entire point. If your simulated fills are better than your real fills will ever be, you're flattering yourself. Then last Tuesday we found a bug. A safety mechanism in the hedging path had been failing silently for weeks. Hundreds of failures per day. None flagged. None surfaced. The system was profitable anyway. That sentence bothers me more than the bug itself. Good performance hiding a broken safety system is exactly what kills strategies three months from now. We fixed it. Wired up a live monitor that fires the moment the hedge's success rate drops below the threshold. This is Surf Prediction Vaults. You deposit stables. Pick a risk level. The AI does the rest. You never touch Polymarket. Sports is live. The weather is next. Crypto follows. Building this in the open. The good weeks and the bad ones. The wins and the bugs were caught silently for a month. If you trade prediction markets or build in this space, I want to hear the strongest argument against what we're doing. Full write-up with the architecture, the Guardian Layer, the numbers and the path to real capital: x.com/shivamtas/status/20550…

ERC-8004 gives AI agents a portable onchain identity, the critical starting point for agent-to-agent trust. But there's a gap. When an agent borrows funds, claims a yield boost, or votes in governance, the protocol has no way to know if a real human authorized it, or if it's a bot farming rewards across hundreds of wallets. ERC-8004 gives agents an identity. It doesn't verify the human behind them. That's where Self fits. Through ZK proofs, Self anchors an agent's onchain registration to a verified human, without ever exposing their personal data. The ZK proofs map directly into ERC-8004's Validation Registry hooks. Protocols can check that an agent's operator is OFAC-compliant, or above a required age, all from existing Self infrastructure. This isn't theoretical. → @aave integrated Self's ZK proof-of-humanity to offer verified humans boosted yield on USDT and WETH, a direct financial incentive for human verification in a DeFi environment increasingly populated by autonomous actors. → @googlecloud integrated Self into its Web3 Testnet Faucets to ensure real humans get 10x more @Celo Sepolia testnet tokens, verified through ZK proof-of-humanity, no personal data required. Both cases are the exact problem ERC-8004 surfaces, already live and in production. The agentic web needs both layers. The agent identity standard and the verified human behind it. The full breakdown of how they work together is in the blog 👇

Autonomous payments run on Polygon.

wow, i want to re-iterate here, the @wasabi_protocol exploit isn't really a story about a stolen key. It's a story about what happens when one EOA controls a batch of upgradeable vaults with no multisig, no timelock, and no DAO governance as @evilcos and @zachxbt both pointed out within an hour of the drain (it should have never happen) The mechanics: deployer EOA grants ADMIN_ROLE to an attacker contract → UUPS upgrade replaces the perp vaults & LongPool with malicious logic → strategyDeposit() called on 7 vaults → drain(). 3 minutes, $5M across Ethereum, Base, Berachain & Blast. Largest single hit: 840.9 WETH (~$1.9M) from wWETH. Wasabi has acknowledged the issue and asked users not to interact with contracts. @blockaid_ flagged that all Wasabi/Spicy LP-share tokens minted by these vaults should be treated as compromised the underlying assets are gone. If you have funds anywhere in the protocol: withdraw and revoke approvals via @RoscoKalis's @RevokeCash. Big shoutout to him, the tool everyone reaches for on days like this. 34th major incident this month. April 2026: 30 exploits, ~$630M drained. The recurring pattern keeps writing itself: privileged EOAs over upgradeable contracts, no governance friction, one phished signature away from zero.

Aave is my life's work and we're working nonstop to find the best possible outcome for users. I’m personally contributing 5000 ETH to DeFi United as we continue working together with partners on formalizing more commitments. I’m working to see this resolved and market conditions normalized as soon as possible. DeFi United.