Air Street Press

When poolside co-founder and CTO Eiso Kant stepped on stage at RAAIS 2025, he didn’t deliver the kind of slick, pre-baked keynote you might expect from the co-founder of one of the most ambitious AI companies in the world. Instead, Kant opted for a more experimental approach: a candid walkthrough of poolside’s beliefs, software systems, and bets on how to build AGI. The result was one of the most revealing sessions of the summit.Kant’s message was clear: if you want to compete at the frontier of model capabilities, the secret isn’t just scale, it’s iteration speed. And to iterate fast, you need infrastructure that matches the ambition of your research. This is the thesis behind poolside’s “model factory,” a production-grade system for turning ideas into results at industrial speed.

Discover the latest trends in AI compute usage with updated insights from the State of AI Compute Index as of June 2025. Explore the dominance of NVIDIA and the rising influence of AMD and startups in the chip market. Learn about the most and least commonly used chips across various research topics, showcasing the evolving landscape of AI technology. Get a glimpse into how these shifts impact research practices and the future of AI development.

The discussion dives into the pitfalls of the AI roll-up strategy, questioning its viability in transforming low-margin service businesses into software powerhouses. Experts critique the unrealistic expectations placed on these service models and stress the importance of understanding their core dynamics. The conversation further explores how private equity can aid in effectively integrating AI into professional services, but warns against traditional approaches that overlook ownership of the software necessary for genuine transformation.

At this year’s RAAIS, Paige Bailey of Google DeepMind delivered her talk on AI research to production with interactive demos and a clear thesis: “I’m going to show you how to automate significant parts of your work.” Generative models are now a co-author, a debugger, a lab assistant, a video editor. And increasingly, models are doing the work behind the curtain while you coach and edit. Here’s her talk and a narrative of the key insights:

A decade is a familiar yardstick for measuring progress. In that time, we tend to expect  steady, incremental change. Historically, meaningful change tends to unfold slowly. In AI, however, the last ten years has been a story of "gradually, then suddenly". The weekly model launches we are now accustomed to feel incremental in the heat of the moment, but a ten-year look back reveals a landscape transformed by something that feels closer to magic.At our 9th Research and Applied AI Summit (RAAIS), we brought together the people building the next decade. Researchers, founders, and policymakers who have gone from writing foundational papers to deploying infrastructure and policies at global scale. And if there’s one thing they agree on, it’s this: ten years in, we are still at the beginning.

On AI factories, sovereign AI and what this means for national AI strategies. This article originally appeared on Fortune.com and can be read here for free.

Explore the latest trends in AI policy and industry, including the geopolitical stakes of data centers. Discover innovative technologies like Alpha Evolve and their roles in scientific advancement. Dive into the self-improving Darwin Goodall machine that tweaks its own coding. Learn about the LaVita model's groundbreaking AI techniques and recent startup funding trends. Finally, catch up on major acquisitions, including OpenAI's significant buyout of Windsurf and Regeneron's strategic moves in drug discovery.

Our read of the UK's Ministry of Defence Strategic Defence Review 2025.

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