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AI for Scientific Discovery and Reasoning

1 post · Mar 2026

What this trail covers

This feature thread tracks the evolution of AI systems and techniques applied to accelerate scientific discovery, mathematical reasoning, and algorithm development. It encompasses breakthroughs like AlphaGo, AlphaFold, AlphaZero, AlphaProof, Gemini's Deep Think, and AI co-scientists, highlighting their impact on fields ranging from game playing to protein folding, mathematics, and general scientific collaboration. The thread also covers the foundational AI principles and architectures that enable these advancements, with a focus on their progression towards Artificial General Intelligence (AGI).

All DeepMind trails
  1. AlphaGo at 10: How AI Innovation Is Paving the Path to AGIThis post marks the 10-year anniversary of AlphaGo's victory, framing it as the start of the modern AI era and a catalyst for applying AI to real-world scientific problems. It details how AlphaGo's deep neural networks, search, and reinforcement learning techniques were generalized and applied to solve the protein folding problem with AlphaFold 2, leading to a Nobel Prize. It also highlights the application of these principles to mathematical reasoning (AlphaProof, Gemini Deep Think), algorithm discovery (AlphaEvolve), and scientific collaboration (AI co-scientist). The post emphasizes the ongoing path towards AGI, driven by multimodal models like Gemini, AlphaGo's search/planning techniques, and specialized AI tool use, with a focus on true creativity and understanding the physical world.