Today, we introduce our position paper “AI and the Future of Learning”, outlining Google’s approach to building AI to help improve learning outcomes for everyone. The core focus at Google Research is driving breakthrough research and bridging fundamental scientific advancement into tangible solutions that address critical global needs. This is the magic cycle of research in action. Our strategy is deeply grounded in pedagogical principles and the very best of learning science. Google is actively developing AI models like Gemini, guided by our LearnLM efforts, to create deeply personalized teaching and tutoring experiences at scale. We aim to empower educators by giving them an AI teaching assistant to free up time for mentoring and connection. We recognize the imperative to confront risks like "metacognitive laziness," ensuring tools promote critical thinking and accelerate human potential. We remain committed to continuous collaboration with experts and an evidence-based approach. Read the full report: services.google.com/fh/files… Blog announcement: blog.google/outreach-initiat…

Was honored to host Research@ our Mountain View HQ last week. Over the past two weeks, we've seen a flurry of new results from Google Research, from genomics to quantum computing to geospatial understanding. Research is our chance—and imperative—to improve day-to-day lives, and address societal challenges and opportunities, and it means that research and innovation is never 'done.' A couple of highlights from Research@ event in this thread👇

We're partnering with @GoogleResearch to kick off a new series of Featured Notebooks exploring topics ranging from health to science to (of course) AI. Starting with "How do scientists link genetics to health" this notebook explores some of what we've learned over the past 10 years of genomic research: notebooklm.google.com/notebo…