@michael2xl
Zcash developer community has momentum ...
... and lots of diehard OGs 🛡️🛡️🛡️
Quick blog post from @charlieperk4: grayscale.com/the-stack/zcas…View quoted post on X
Hoje é um dia muito especial para a nossa equipe.
O @michael2xl está se juntando à @ShieldedLabs, levando com ele anos de trabalho, construção e contribuição dentro do ecossistema @Zcash.
Para nós, que acompanhamos de perto essa trajetória na @zcashbrazil, é muito bom ver esse trabalho ganhando ainda mais espaço dentro de uma equipe dedicada ao futuro do protocolo.
Parabéns! Muito sucesso nessa nova etapa.
Seguimos construindo. 💛View quoted post on X
We have another addition to the Shielded Labs team! Michael Guima (@michael2xl) is joining as our Community Lead. He’ll help us build stronger connections with the Zcash community and keep people informed about our work. He’ll also develop educational resources and documentation that explain the technology behind our projects and make Zcash governance easier to understand and follow.View quoted post on X
Michael leads @zcashbrazil, where he has built a team whose contributions span education, software development, design, and community building. They publish news and tutorials in Portuguese, organize events such as Zcon Vozes, and represent Zcash at Brazil’s major crypto events. They created the Zcash Global Discord, a central gathering place for the Zcash community. They also helped launch ZecHub DAO and advise new communities as they get started. Under his leadership, the team has developed and continues to maintain more than ten open-source products. These include the first Zcash faucet on mainnet, ZebraPi—the first plug-and-play Zebra node—and LiveZEC, which lets livestreamers receive ZEC donations. Much of their work serves the wider Zcash community, well beyond Brazil.
Michael also developed @openzcash, a community resource that brings together information about Zcash and presents it in a clear and useful format. It lets people explore how grants are funded and paid, follow governance proposals, and review voting results, with links to the underlying sources. I’ve been especially impressed by the depth of the data and the thought he’s put into presenting it. It’s a strong example of his ability to turn complex information into something the community can easily explore and use.
I’ve long admired Michael’s contributions to Zcash and often interacted with him during my time on Zcash Community Grants. The energy he brings to his work and how much his team accomplished always stood out to me. Under his leadership, Zcash Brazil has become a model for other regional Zcash communities.
Michael will continue to lead Zcash Brazil in a more limited capacity as he takes on his role at Shielded Labs. I’m looking forward to working closely with him and seeing what we can build together.
Please join me in welcoming Michael to Shielded Labs!
Thrilled to announce that our @GoogleDeepMind team has cracked a major challenge in software engineering and cybersecurity: formally verifying a real-world implementation of the #Signal cryptographic protocol at the machine-code level. This proof was done using AlphaProof Code, our new AI framework for formal specification and verification.View quoted post on X
* Paper: deepmind.google/documents/36/F…
* Lean code: github.com/google-deepmin…
* DeepMind blog post: deepmind.google/blog/introduci…
A huge shoutout to my amazing teammates: @tchajed,
@FerrousAndrew, Jonathan Katz, @pushmeet, @antonkovsharov, Karn Seth, Sam Schlesinger, @RandomlyWalking.
I started working on formal software verification 20+ years ago as a grad student. I was persuaded by Dijkstra and other computer science pioneers’ vision of programming backed up by mathematical theorems. At that time, we had to choose between automated code analysis algorithms that scaled but could only prove shallow properties, and deep manual verification that took decades of expert human work.
Thanks to progress in AI for mathematical reasoning, we don’t have to make that choice any more. Over four weeks in October 2026, AlphaProof Code agents generated more than 6 million lines of machine-checked Lean proof. We proved deep computational and symbolic security properties of the entire protocol core of Signal, all the way down to the ARM machine-code level.
This is just the first step, of course, because our goal is nothing short of verifying the world’s software infrastructure. Most cyberattacks, including the AI-powered ones recently in the news, happen because of preventable code bugs. I expect that agents for formal code analysis will eliminate these bugs one category at a time.
As our paper explains in more detail, this doesn’t at all mean humans are out of the picture! Proofs are now largely automated, but human experts will need to decide what is proved with AI assistance. AlphaProof Code offers an early glimpse of what such human-AI collaboration could look like, but many other proposals of this nature will emerge.
We have released all our Lean specs and proofs and plan to work with the open-source community on improving them. If you are building critical software and would like to apply these ideas, come talk to us!
