AI is transforming not just how we work, but how we discover. At @Flagship_PI , we're building the models, tools, and agentic systems that help accelerate discovery across @FlagshipPioneer's ecosystem. Excited to see this perspective from our leader Matthew Davis on the opportunity ahead.

Our Computational Biology Hackathon with @AnthropicAI and @modal is kicking off this morning! Researchers and engineers are coming together to apply agentic tools to real biological questions, from protein sequences and gene sets to microscopy datasets. We’re excited to see what they build with Modal x Claude Science, and the ideas and collaboration that emerge throughout the day. Let the building begin!

We're teaming up with @AnthropicAI and @modal to host a Computational Biology Hackathon. Bring a protein sequence, gene set, or microscopy dataset — leave with an agentic tool built on Modal x Claude Science. Sept 22 | 9AM–7:30PM | Cambridge, MA RSVP: luma.com/boston-comp-bio-hac…

AI is beginning to reveal nature’s patterns, helping us recognize connections, ask better questions, and uncover possibilities we couldn't have reached on our own. Polyintelligence — the synthesis of human, machine, and nature's intelligence — is unlocking new forms of problem solving and creativity. So, what breakthroughs become possible when we can finally understand — and build with — nature’s intelligence? @JCoolScience @AnthropicAI @AvakK @afzelius_lovisa @Prologue_Med @bramaccimmyt @CIMMYT

The limit on long-context co-folding is architectural. Hardware extends the reach of today's models, but the scaling is steep enough that a bit more context takes a large multiple of GPUs. So we rebuilt the computation. LightFold: 16,384 residues on a single RTX PRO 6000, where profiled models cap out at 2,048–3,072. That's the work at PI — starting with the capabilities our ecosystem needs, then building backward when they don't yet exist. bit.ly/4xRcCNg

If every algorithm must become its own company to justify the investment, many of the most impactful ones may never get built. In our latest piece from The Labs Report, Matt Davis, Head of @Flagship_PI explains that the challenge isn't just inventing better algorithms — it's building a deployment model that lets AI create value faster. Full post in the replies.

What happens when we can reason at an unprecedented scale? Hear from @Flagship_PI leader Matthew Davis on why this shift could transform how we explore hypotheses and unlock new breakthroughs. #WeAreFlagship

What happens when human, artificial, and nature's intelligence work together? That's the question driving our work at @Flagship_PI. Watch this conversation from @FlagshipPioneer, exploring the emerging era of polyintelligence and what remains uniquely human as these forms of intelligence converge. #WeAreFlagship

Our Scientific Discovery Hackathon at @techweekbos kicking off this morning! Researchers & engineers are coming together to explore what's possible at the frontier of agentic AI & scientific discovery. Excited to see the ideas, collaboration & breakthroughs that emerge over the course of the day. Let the building begin! #TechWeekBoston

One week until our Scientific Discovery Hackathon at @TechweekBoston. We're bringing together researchers & engineers building at the frontier of agentic AI & scientific discovery. We hope you'll join us! Spots are limited. RSVP here: partiful.com/e/QE3rf39P03sCE…

Join a team turning bold ideas into real world impact. At Flagship, we build transformative companies developing bold solutions to the world’s greatest challenges. Hear directly from members of the Flagship team about their experiences and explore opportunities to join us. Learn more: bit.ly/47IQqbs #WeAreFlagship #BiggerLeaps

AI is reshaping how breakthrough ideas become real-world platforms. At @Flagship_PI , we’re building the systems and capabilities powering AI-native innovation across the Flagship ecosystem. If you want to work on ambitious AI problems, explore our open roles: flagshippioneering.com/join/…

Join us for the Scientific Discovery Hackathon at @TechweekBoston, where teams will build autonomous AI agents that hypothesize, experiment, write & review scientific papers in a shared ecosystem. If you're building at the frontier of AI-driven science, this is the room to be in. #BosTechWeek. RSVP here: partiful.com/e/QE3rf39P03sCE…

AI is reshaping how life sciences companies are built. @FlagshipPioneer + @AWS bring scalable cloud + AI capabilities to power AI-native platforms—accelerating discovery and breakthrough development.

⭐ 5 Takeaways from Flagship’s 2026 AI Summit ⭐ During our 2026 AI Summit this week, we explored the polyintelligent future— where human, machine, and nature work together as one. Here are five takeaways. 1. Polyintelligence is more than an intersection — it’s an unlock. Polyintelligence is a dynamic integration where each intelligence unlocks and accelerates the other. Human insight informs better models, models accelerate and guide stronger experiments, and experiments reveal deeper biological truths. In turn, polyintelligence enables a new form of intelligence altogether, one that combines the strengths of humans, machines, and nature. 2. Acceleration and discernment must be in balance. AI is making exploration effectively limitless, shifting the challenge from generating ideas to determining which questions actually matter. Real progress will come from balancing the speed of discovery with the discernment to ask the right questions, guide what data is gathered, and focus on what is most impactful. Without that balance, we risk amplifying noise over insight. With it, we can turn AI’s limitless possibility into meaningful insights and, ultimately, a healthier future. 3.Breakthroughs demand integration, not isolation. The most important breakthroughs are happening at the intersections of disciplines, yet our collective knowledge often remains siloed, which limits innovation. The real fix will require prioritizing integration and experimentation. AI-native institutions will combine human and machine intelligence into a unified, interconnected system for learning and execution. 4. AI is converting agricultural signals into early warning systems. Farms, crops, soil, and livestock constantly generate signals about environmental stress and ecosystem change, but historically these signals have been local, fragmented, and reactive. AI is unlocking the ability to interpret these signals at scale, transforming dispersed agricultural data into early warning systems for risks like soil degradation and disease. This application turns agriculture into a predictive system that can detect, respond to, and prevent disruption before it occurs. 5. AI reveals what we didn’t know to look for. Our understanding of nature’s systems is fundamentally limited by how we observe and interpret the world, which we filter through human understanding, assumptions and biases. As a result, we may overlook signals or patterns that seem ancillary but might offer an unlock. AI offers a way to begin closing that gap by integrating diverse data and surfacing patterns we wouldn’t recognize, offering a holistic analysis of the tools and systems nature has evolved. The future of AI will not be built in isolation, but through the synthesis of tools, intelligences, and partners coming together to create something greater. Our 2026 AI Summit brought this to life—surfacing new questions, exploring bold ideas, and highlighting the opportunities ahead.