TACEO Merces is live on mainnet. Real funds, on Monad and World Chain. Public chains give institutions settlement, interoperability and composability. They also make counterparties and amounts visible to anyone with a block explorer, and the usual response has been to work in a walled-off environment, or to stay off the public rail altogether. Merces makes privacy a property of the rail itself. Balances and counterparties stay hidden onchain, and no node in the TACEO network can read a balance, because no node ever holds one in readable form. The state stays shared even while it stays private, which is what makes this more than private payments. A stablecoin transfer may only needs the transaction hidden. A tokenised fund, security or other tokenised assets (RWAs) needs a private register that still enforces eligibility, concentration limits and pro-rata distributions. Rules have to look across every holder at once without revealing what any one of them owns. Financial logic still runs, and every operation produces a proof, verified onchain, that it executed correctly. Correctness is proved rather than trusted, so it doesn't rest on the integrity of any individual node. Compliance works the same way. Screening happens before a transaction executes, and afterwards the institution decides what gets opened to an auditor or a regulator. Specific records, not the whole book. None of it requires migrating migrating your stack. Merces works with the chains, token standards and keys already in use, and the same integration works across chains. No new chain, no new asset, no new wallet. Payments settle on mainnet today. Yield, agentic payments, and issuer controls run on testnets, moving to mainnet through the rest of the year. @monad and @world_chain_ are the launch networks. @LayerZero_Core is building private cross-chain transfers with us. @IntellectEU is integrating Merces into CatalyX for its bank clients. @OrionFinanceAI is working with us on private vaults. @ZenithNetwork is working with us on shared-state privacy inside Canton.

The privacy layer for onchain finance is now live. Meet TACEO Merces Bank infrastructure, asset managers and cross-chain protocols already integrating, read more: core.taceo.io/articles/merce…

I am pleased to announce that I’ve accepted the role of Chief Scientist at @octane_security! I’m excited to be working with @giovignone, @paologentry, and everyone on the Octane team to help build the next generation of their awesome AI-powered security analysis service.

Since 2024, DAWN has raised $40M to date to tokenize AI and connectivity infrastructure. This has been led by @DragonflyVC, @polychain, @vaneck_us, and more amazing investors. We’ve spent that time building. Here’s what’s ahead 👇

Stripe’s homepage has 637 KB of HTML for 539 words. Humans read it for free, but a bot needs $0.26 to read the same words, because it wades 87,400 tokens of markup, if it even gets there. With this in mind, I built a lens that shows you any webpage the way machines see them

Chinese models are near-parity on benchmarks, dramatically cheaper per task, and topped US models in OpenRouter token share for the first time in 2026, all through legitimate contributions across quantization, attention architectures, MoE sparsity, and RL. In my newest report for @Delphi_Digital, I walk through the labs' progress across three efficiency themes and discuss: - why efficiency gains get competed away as price cuts - the evolution of licensing and business models over the past year - why China's grid is a structural advantage - the distillation fight, escalating sanctions threats, and scenarios for how the US-China AI market splits - whether Chinese labs can pre-train frontier models on domestic silicon - implications for investors Full report below.