Shaun Modi

Grateful today as we honor and remember the brave.

Nothing beats culture and community 🇮🇪🇮🇳. (And this is coming from an AI guy)

@DavidClinchNews Mayo!

@ShaunModi You in Dublin?

The original Polymarket

Every era of technology has its iPhone moment. The moment a category stops being for specialists and becomes something for everyone. The personal computer. The smartphone. The internet itself. Each was built by engineers, for engineers, until someone designed it for everyone else. Today we are at that moment in AI. I've spent my career at the intersection of complexity and clarity. At NASA, I worked on systems where the stakes of a bad interface weren't frustration, they were catastrophic failure. At Airbnb, I learned that trust, at scale, is a design problem. When millions of strangers are asked to open their homes to each other, the product has to feel safe and natural, or the whole thing collapses. There's no engineering shortcut to human trust. It has to be designed into the system itself. That design lens is what I brought to @capitolai. And it's why I believe the next great competitive unlock in artificial intelligence is in the product design rather than the model. I wrote about this on our blog. Read it here: capitol.ai/blog/why-ai%E2…

The best consumer brand in the world keeps elevating. Bravo @bchesky and @Airbnb team! 🗺️🌴😎

What @capitolai precisely solves 🎯

No notes, perfection. 10/10 @jgebbia @ndstudio

Claude connectors be like

My time in China working on space systems for the US. 🛰️🧑🏽‍🚀 Best of luck to team USA. 🇺🇸 🤝 🇨🇳

We’re starting to see early signals of something that’s been inevitable. AI model pricing is going up. This piece from @LauraBratton5 and Aaron Holmes at @theinformation is a good example — enterprise customers are already bracing for volatile, usage-based costs, and many are just absorbing it for now. That dynamic only intensifies as these companies move toward public markets. Revenue predictability matters. Margins matter. Pricing power follows. Most organizations haven’t internalized what that means yet. If your workflows are tied to a single model, your cost structure isn’t really yours. It’s downstream of someone else’s roadmap. The next phase of AI will be about more than capability...it will be about cost control, flexibility, and where you place the abstraction layer. This isn't being talked about enough and it's worth paying attention to now, not later. theinformation.com/articles/anthr…

We're excited to announce a new Capitol AI x @CarbonArcAI partnership. Carbon Arc built a platform with 210+ real-world data assets (card spend, payrolls, trade claims, foot traffic) and made them available through a single, clean consumption model. Data that used to take months to source and negotiate? It's just there. What this means for our clients: you now have access to instant, hard to find data that Capitol transforms into decision-grade intelligence. No more stitching together sources or waiting on lengthy procurement cycles, just the data you need, ready to inform real decisions. Our clients don't just need access to great data, they need to understand it, trust it, and use it to make better decisions faster. That's exactly what this partnership delivers. Carbon Arc brings the data. Capitol makes it actionable. Our clients get a serious edge.

Spent some time thinking about this Axios piece on private equity and AI and I realized that this isn’t really a private equity story. What stands out is how hard it’s getting to underwrite what a business looks like three to five years out as things like AI are changing faster than models can capture. That same pressure is showing up in how companies build with AI. Teams make a model choice and wire it into real workflows, but the landscape keeps shifting underneath them. What felt like a solid decision at the start can look different a few months later. So the question becomes less about picking the right model and more about how often you can revisit that decision. That’s where flexibility starts to matter. Systems that let you revisit decisions and easily move between models as the landscape shifts are the ones that hold up better over time. The environment is moving faster than the plans built on top of it. That’s the shift. axios.com/2026/05/06/pri…

@FastCompany recently captured something I’ve been thinking about, which is: “We didn’t fail at AI. We failed at where we put it.” We see this when work moves beyond a single step. A model produces something useful, but nothing carries forward. The next person starts from scratch, the reasoning behind a decision gets lost, and the system has no memory of what happened before. Part of the problem is structural. Most AI systems operate without memory, while organizations depend on continuity and accumulated context over time. That mismatch shows up quickly once work becomes collaborative or iterative. Closing that gap requires embedding intelligence directly into the workflow so context carries and decisions build on each other. If you’re seeing strong outputs without consistent impact, this gets to the root of it. fastcompany.com/91532024/after…

@Schwarzenegger 💪🏽

Still pumping.

I posted last week about the importance of adopting a multi-model approach to AI, and how Capitol AI is built on that foundation. The recent news from the Pentagon is a real-time example of that playing out at the highest levels. The Pentagon expanding beyond a single AI vendor is a reminder that model strategy has to stay flexible as models, policies, and access change. This is less about switching models and more about building the ability to adapt. The United States @DeptofWar is working across several models, matching each to specific use cases and adjusting as conditions change. When a model becomes unavailable or constrained, the system has to continue without interruption. Multi-model architecture makes that possible. cnbc.com/2026/04/28/pen…

Celebrating His Majesty King Charles’s visit to Washington. My first British tea party. A fun, and honorable moment celebrating the special relationship between the United States and United Kingdom. With many good friends from around the world in attendance! @capitolai continues to double down in the UK. 🇺🇸🤝🇬🇧 @UKinUSA

Told me about the design. 🍎❤️