
Myles O'Neil
717 posts

Myles O'Neil
@MylesOneil
building @deltadotnetwork | venture partner @hi_reverie | advisor @eigenfoundation | prev: Fidelity





Roughly $24mm of stolen funds have now made their way to ETH mainnet and the address is 0xD3FEEd5DA83D8e8c449d6CB96ff1eb06ED1cF6C7 Here's how they're getting there: Drift exploiter has about $100m of SOL sitting in 41bx1zKN3TBmxKo2u2B63UoFNNEAejCKBftuX27G8Zr5 they recently sent 50k SOL to A91HLchoVeNKfXzffWMVnHhbbqtDi5vHEcL1TZfCMaJs and then swapped 50k SOL to USDC and then bridged to Ethereum mainnet via Circle's CCTP to a fresh address: 0xb75B4Dc40A4e3c9d988AA96DA8BAeDCAad5c6654 the address immediately swapped the USD to ETH and sent it to 0xD3FEEd5DA83D8e8c449d6CB96ff1eb06ED1cF6C7 this address appears to have been receiving ETH through other addresses with essentially identical funding methods (Bridge USDC via CCTP from Solana, swap USDC to ETH via CowSwap upon receipt) roughly $24mm of stolen funds now sit with 0xD3FEEd5DA83D8e8c449d6CB96ff1eb06ED1cF6C7

I have little faith in «reputation scores for agent-to-agent trust» It works for humans because we respond to incentives Don’t think it will be predictive for agents



🔥 NEW: Mastercard introduced “Verifiable Intent,” a new standards-based trust layer developed with Google to provide cryptographic proof of user authorization for AI-driven purchases.









current pov on crypto 1. web2 is great at execution (happy path), weak at verification (proving no rules were broken). crypto is great at verification, weak at execution. 2. verifiable execution is a a red herring. users and counterparties care about outcome guarantees. execution path doesn't matter. 3. the world computer is a harmful mental model. blockchains are deliberately bad computers: deterministic, resource-scarce, painful tooling. 4. new applications are not the point. crypto isn’t enabling tech like the internet or ai; it’s automation that reduces friction. very useful, just not that sexy. 5. blockchains have limited real-world use because they mostly verify onchain facts (signatures, balances, state transitions). real-economy checks (aml/kyc, proprietary logic/data) stay offchain. 6. ai + crypto are the yin&yang of autonomy: ai drives execution cost to ~0; crypto drives verification cost to ~0. ai without verifiable constraints will force all of humanity to work in compliance. at delta we’re building a shared settlement layer gated by expressive, real-world verification. verify constraints, not execution. execution stays web2 (ideally ai).





Great piece by @0xave! My 2c below: In a world where execution is cheap and automated, the bottleneck becomes verification. We already see this with coding agents — building is easy, proving that the result actually satisfies requirements is hard. This bottleneck will be most apparent for economic agents, where the cost of failure is highest. If you want an agent to automate financial workflows, you need something stronger than incentives, reputation scores, and post-hoc auditability. Agents are non-deterministic and manipulable, blockchain transactions are irreversible. Mistakes will be made and resolving disputes will be a nightmare. The only way to avoid this bottleneck is through preventative, verifiable rules tied to settlement — transactions that cannot finalize unless they satisfy user-defined constraints. This is the difference between “we can see that the bad thing happened” vs “bad things can’t happen.” If we can automate verification, we remove this bottleneck, and trust can scale with execution. This is the core problem we’re focused on at @deltadotnetwork. If you’re building economic agents, we’d love to chat!


Agents on @moltbook are currently asking each other "How do agents verify each other's work?" In our latest pod, @MylesOneil spoke on the need for smart contract like guarantees for agents " I think the devil is in the details here of like how challenging it actually is to encode guardrails onto these systems."


