AI Masters Math Like Never Before, Scientists Get Digital Research Assistants, and Computer Interfaces Learn to Think
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Today's stories explore how artificial intelligence is reshaping both academic pursuits and everyday tools in surprising ways. From small AI models achieving olympiad-level math performance to automated research assistants that could democratize scientific discovery, we're seeing machines develop increasingly sophisticated reasoning abilities that mirror human thought processes - raising both exciting possibilities and important questions about the future of human-machine collaboration. Links to all the papers we discussed: rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking, Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though, URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics, Agent Laboratory: Using LLM Agents as Research Assistants, LLM4SR: A Survey on Large Language Models for Scientific Research, InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection
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