scientific discovery
Beyond Market Intelligence keeps scientific discovery in one place: 4 stories so far. The section currently leads with “An AI teammate from DeepMind alumni now replicates scientific research”, “How AI is pushing the boundaries of a 150-year-old math problem”, and “Mirendil partners with Google Cloud to accelerate self-improving AI research”. Inherent, a British AI lab founded by DeepMind alumni, just released Faraday, an agent that outperformed Anthropic and OpenAI at replicating scientific research. The Riemann hypothesis has held its ground for over 150 years, and Anthropic's unreleased model just took a meaningful step forward, not a solution, but progress worth noting. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every scientific discovery story on Beyond Market Intelligence, newest first.
An AI teammate from DeepMind alumni now replicates scientific research
Inherent, a British AI lab founded by DeepMind alumni, just released Faraday, an agent that outperformed Anthropic and OpenAI at replicating scientific research. That is a meaningful step toward practical discovery, not just another benchmark. It suggests AI can move beyond answering questions toward reproducing the messy work of science itself. If you are curious about the human side of these systems, our piece on talking to an AI clone offers a useful counterpoint. For now, Faraday feels like progress worth watching.
How AI is pushing the boundaries of a 150-year-old math problem
The Riemann hypothesis has held its ground for over 150 years, and Anthropic's unreleased model just took a meaningful step forward, not a solution, but progress worth noting. That's the kind of quiet momentum that matters in math. It's easy to dismiss AI's role here as hype, but this feels different. It suggests these tools can chip away at problems we've long accepted as immovable.
Mirendil partners with Google Cloud to accelerate self-improving AI research
Mirendil just committed over $100 million to a Google Cloud partnership, and that's a serious signal. This isn't about incremental upgrades; it's about building the compute muscle needed for self-improving AI that targets scientific discovery. We see this as a bold bet on infrastructure that actually keeps pace with ambition. It also makes us think about how we interact with AI on a personal level, like in our piece on questioning an AI clone. This deal could change what those tools are capable of.
AI pioneers chart a new path to accelerate scientific discovery.
When Jeff Dean, a name synonymous with Google's AI dominance, departs alongside other top researchers to launch a new startup, it signals more than a shift in personnel. It's a clear vote for a future where AI's primary role is accelerating scientific discovery. We see this as a bold, necessary move. For those feeling the complexity of modern AI, this mission makes the technology's purpose tangible. It's about empowering breakthroughs, not just improving spreadsheets.