insofar as this was the one bit that was against FinCen guidance, this is probably the least hard to appeal out of the charges

The TACEO team is combining multiparty computation with ZK-SNARKs to add privacy to shared state on their network + enable compliant data storage/reads at scale for teams like World AND they're building towards a more consistent and normie-friendly user experience for the new wave of ZK apps by offering private proof delegation as a more broadly feasible alternative to client-side proving We at Archetype are wildly excited to lead TACEO's round and support them as they continue to make the benefits of privacy more attainable to the users and institutions coming onchain today!

happy 10th birthday ethereum! favorite world computer frfr

as far as apps go, sequencing is a means to an end, that end being execution and the resulting state transitions

Some Quick Reflections on DeAI at ICML 2025: YoY Growth in Presence, Quality of Decentralized AI Contributions It was highly encouraging to see a step up in presence from top DeAI teams – not just as attendees but as core participants presenting novel papers + research From @ritualnet and @exolabs to @PluralisHQ, @gensynai, @PrimeIntellect, @bagelopenai, @akashnet_ and others – the quality of contributions to the field is increasingly outstanding, original, and bringing legitimacy to crypto as a domain where fundamental innovation in AI can credibly take place We’re Still (Very) Early That said, it remains the case that for most of the conventional AI field, ‘decentralization’ isn’t really a relevant part of the conversation Two Obvious Reasons For This: 1) DeAI is largely still in its R&D era – more research than production-grade reality 2) DeAI is preemptive – from training to deployment, the constraints that’ll drive relevance + adoption of the emerging decentralized stack do not (yet) outweigh the practical benefits that the traditional stack offers Early is Okay, BUT: Ideology can’t replace technical or economic parity. To really have an impact, it’s critical that teams look beyond the crypto silo to understand what builders + users are actually optimizing for. Naturally, it'll be (user / product) dependent and vary across a spectrum of reliability, performance, cost, compliance/security, privacy, new economic models and more But the ability to do this effectively will determine whether the decentralized AI stack can be truly transformative across both worlds, or if it remains a performative exercise in launching tokens

TEEs inherently require trust in operators and manufacturers, but it's also possible to use them in ways that strictly *improve* a system's security without introducing new trust bottlenecks. I wrote about two use cases where this is possible:

completely forgot how nice it feels to listen to music with a proper dac and amp agh

We've closed our Seed Round raising an additional $5 million. Lead by Archetype, backed by Coinbase, Variant, Lemniscap, and more. Mobile gaming will never look the same. 🧵

In our last blog post, we showed how to break privacy-preserving LLM schemes — decoding permuted model states with near-perfect accuracy. Today, we present our defense: Cascade 🕵️‍♂️✨

OH MY GOD