Google DeepMind Focused on Agent Performance

Google are laser focused on increasing the performance of agents. The future will feature agents capturing rising levels of the “compute requirements” or cognitive load of humanity. Users won’t interact with companies or apps directly. Agents will interact with other agents. This “agentic layer” will accelerate the pace of science, technology, commerce & creativity.

This research investigates why Large Language Models, despite their successes in various tasks and potential for complex reasoning using Chain-of-Thought, often perform poorly in decision-making scenarios.

This is one of the hottest areas of AI research right now. Agents will soon conduct 80 to 90% of all interactions on the internet… so getting them from point A to B as efficiently as possible means increasing the efficiency of the global economic engines. More and more of our R&D is going to be completed by AI agents as well. This is a critical surface area to focus on.

The core hypothesis that LLMs can leverage their worl…