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Photo by CACTUS Creative Studio via Stocksy “… AI tools are supercharging surveillance and suppression of protestors, journalists, human rights defenders, and other communities at risk. We therefore echo calls for the adoption of human rights-centered binding legal standards and global governance mechanisms to regulate digital surveillance technologies and AI, addressing chilling effe

The OpenHands team used Quint to debug a stubborn race condition. It told them their first fix wasn't good enough before they shipped it.

The OpenHands team used Quint to debug a stubborn race condition. It told them their first fix wasn't good enough before they shipped it.

AI can write the code. The bottleneck is now understanding what that code actually does.

AI can write the code. The bottleneck is now understanding what that code actually does.

How a DeFi exploit hid from every standard correctness check

How a DeFi exploit hid from every standard correctness check

The Massachusetts Platform for Legislative Engagement (aka MAPLE, at mapletestimony.org ), an initiative of Partners in Democracy – Education, is a free public platform for reading and submitting testimony to the Massachusetts state legislature. It’s a little like a social network, but your feed consists of bills and voter testimony. MAPLE exists to encourage and simplify civic engagement, giving

The Interchain Foundation follows up today with the latest installment of its monthly treasury snapshot updates, as per the latest… Continue reading on The Interchain Foundation »

We used Quint to analyze the MonadBFT consensus protocol, formally specifying definitions and pseudo code, validating lemmas and theorems through simulation, and reproducing scenario diagrams as executable runs.

We used Quint to analyze the MonadBFT consensus protocol, formally specifying definitions and pseudo code, validating lemmas and theorems through simulation, and reproducing scenario diagrams as executable runs.

Quint is becoming its own company, spinning out of Informal Systems to make trust a first-class property of how systems are designed and built.

After six years, Informal returns to its founding question.

Last month, Hypha member Udit and I attended Atmosphere Conf . We had a great time! Hanging out with people in person confirmed what we had been seeing across our feed for months: the Atmosphere is a vibrant and growing ecosystem we’re excited to be a part of. We made our first foray into the protocol in February with spores.garden , our digital garden game , learning how to write lexicons and e

Quint is becoming its own company, spinning out of Informal Systems to make trust a first-class property of how systems are designed and built.

We have modeled the Byzantine Generalized Lattice Agreement algorithm in Quint and found two bugs in the SAFE predicate

We have modeled the Byzantine Generalized Lattice Agreement algorithm in Quint and found two bugs in the SAFE predicate

Let’s say you wanna watch a movie in theatres. A good movie please, an artsy flick with limited distribution, ideally subtitled, in a space with no teenagers and a lobby cocktail bar. You ask your AI assistant: “where can I watch an artsy film in an indie theatre in Toronto this weekend?” Your assistant does a couple of web searches and comes back with some suggestions. One of them appeals to you,

Two exploits and one root cause. The rules developers never wrote down.

We wrote a Quint spec for the Faerie-Gold attack in the Zerocash protocol, plus a ZCash-like fix.

We wrote a Quint spec for the Faerie-Gold attack in the Zerocash protocol, plus a ZCash-like fix.

Projects move at varying speeds: some shift rapidly from ideation to product while others take a slower and more thoughtful approach. For Rook , Hypha’s new agentic knowledge management tool, we’ve been deliberately considered about how and why we move into the AI space. This is not only because the market is a little saturated with LLM-esque tools, but also because we wanted to offer something th

We used to build trust and understanding while coding. With LLMs, we need a new process.

We used to build trust and understanding while coding. With LLMs, we need a new process.