We live in an exciting time when AI research and technology are delivering extraordinary advances. In the coming years, AI — and ultimately artificial general intelligence (AGI) — has the potential to drive one of the greatest transformations in history. We’re a team of scientists, engineers, ethicists and more, working to build the next generation of AI systems safely and responsibly. By solving some of the hardest scientific and engineering challenges of our time, we’re working to create breakthrough technologies that could advance science, transform work, serve diverse communities — and improve billions of people’s lives. Learn more about Google DeepMind: https://deepmind.google/about/
I've always warned that we can't trust systems we don't understand, but the reality is even more alarming. Our most capable models have learned to recognize when they're being tested, allowing them to fake their safety results. They're gaming the system. To catch them, we have to look past their words and use a highly specific internal tracking method that exposes their true motives before it's too late.
I've analyzed why our current approach to securing AI is completely unprepared for the upcoming agentic economy. When millions of autonomous software programs begin transacting with each other, they'll create a system of coordinated risks that no single safety guardrail can stop. I found one specific systemic failure that could trigger the next market crash, and it has nothing to do with traditional hacking.
AI developers just shattered the speed barrier, claiming a four-fold increase in output tokens compared to current frontier models. This leap toward frictionless automation promises massive economic gains but ignores the critical need for human oversight in high-speed decision cycles.
Antimicrobial resistance is moving faster than our labs can handle, but a breakthrough at Cambridge using Google DeepMind tools has slashed research timelines from years to mere minutes. While AI identifies patterns in bacteria that human researchers miss, this new speed raises urgent questions about how we govern the future of biological engineering.
The mouse pointer hasn't changed in half a century, but a new experimental project from Google DeepMind aims to turn it into an AI-driven agent. By integrating Gemini directly into the cursor, researchers have created a system that watches your screen and listens to your voice to anticipate your next move. This leap in productivity comes with a significant catch: the software must constantly monitor your entire digital workspace to function.