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Endigest AI Core Summary
This post describes how Google's Gemini Deep Think mode is being applied to solve professional research-level problems across mathematics, physics, and computer science.
•Gemini Deep Think achieved Gold-medal standard at the International Mathematics Olympiad in summer 2025 and has since advanced to PhD-level and open research problems
•A math research agent named Aletheia was built using Gemini Deep Think, featuring a natural language verifier for iterative solution generation and revision, and the ability to admit failure
•Aletheia produced fully autonomous and human-AI collaborative research papers, and solved four open problems from Bloom's Erdős Conjectures database
•In computer science, Gemini helped resolve long-standing bottlenecks in Max-Cut, Steiner Tree, online submodular optimization, and ML noise-filtering penalty proofs across 18 research problems
•Human-AI collaboration techniques such as the Advisor model, Vibe-Proving cycles, and balanced prompting were identified
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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