Discovery Loop is building AI systems that automate the experimental loops of science and engineering. Continuous Exploration.
Wilson Sonsini Advises Discovery Loop on Launch and Initial Funding
On August 5, 2026, a founding team comprised of some of the world’s leading experts in artificial intelligence and distributed computing—Jeff Dean, Sanjay Ghemawat, Quoc Le, and Oriol Vinyals…
What is “loop engineering?”
There’s talk about loop engineering, but what is it exactly? I looked into it, and found triggers, cron jobs, AI slop & more. Is it a “here today, gone tomorrow” trend?
Fulcrum - Leverage for Discovery
We place AI engineers with research labs working on hard scientific problems.
4 of Google’s Top AI Brains Are Leaving—and Launching Their Own AI Startup
Jeff Dean and other high-profile Google executives have founded Discovery Loop, a startup that will seek AI-powered breakthroughs in everything from drug discovery to chip design.
Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft
Discovering causal regularities and applying them to build functional systems--the discovery-to-application loop--is a hallmark of general intelligence, yet evaluating this capacity has been hindered by the vast complexity gap between scientific discovery and real-world engineering. We introduce SciCrafter, a Minecraft-based benchmark that operationalizes this loop through parameterized redstone circuit tasks. Agents must ignite lamps in specified patterns (e.g., simultaneously or in timed sequences); scaling target parameters substantially increases construction complexity and required knowledge, forcing genuine discovery rather than reliance on memorized solutions. Evaluating frontier models including GPT-5.2, Gemini-3-Pro, and Claude-Opus-4.5 under a general-purpose code agent scaffold, we find that all plateau at approximately 26% success rate. To diagnose these failures, we decompose the loop into four capacities--knowledge gap identification, experimental discovery, knowledge consolidation, and knowledge application--and design targeted interventions whose marginal contributions serve as proxies for corresponding gaps. Our analysis reveals that although the general knowledge application capability still remains as the biggest gap across all models, for frontier models the knowledge gap identification starts to become a major hurdle--indicating the bottleneck is shifting from solving problems right to raising the right problems for current AI. We release SciCrafter as a diagnostic probe for future research on AI systems that navigate the full discovery-to-application loop.
Scientific Paper Planner - AI Research Planning
Structure your scientific research with AI-powered guidance
Infinite Researchers | AI-Powered Scientific Discovery
What happens to the speed of discovery if we have infinite researchers? Explore AI experiments accelerating breakthroughs.
Rethinking AI for Science Funding
As science stands at an inflection point, how do we organize capital to shape the future of discovery?
Loop Engineering | AddyOsmani.com
You don't really need to be good at prompting anymore. The thing to get good at is the loop that does the prompting for you. It's five building blocks plus s...
Deep Research, information vs. insight, and the nature of science
What AI will accelerate in the scientific process, what it cannot do, and how we can prepare for new manners of scientific investigation.
From Genius Science to Scenius Science - Cosmik Labs
Why personal AI tools might not be all we need to revolutionize science
How AI Agents are transforming scientific discovery
AI agents are starting to reshape science, from proposing novel hypotheses to writing code. Learn what comes next for scientists and policymakers.
Request for Proposals: The Launch Sequence | IFP
Apply to our rolling effort to find, scope, and build the most important projects to prepare the world for advanced AI
AI has supercharged scientists—but may have shrunk science
Analysis of 41 million papers finds that although AI expands individual impact, it narrows collective scientific exploration
AI for science: What can it do? Can it do things? Let’s find out!
A what we’re reading spotlight
Teaching AI How Science Actually Works | IFP
How block-grant labs can generate the real-world data AI needs to do science
