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Optimal $O(\sqrt{d})$ regret in online inverse linear optimization is now achievable in polynomial time, shattering previous computational barriers.
Stellar Colosseum is introduced, a model-agnostic harness for allocating inference across research in mathematics and theoretical computer science that demonstrates the capabilities of Colosseum through open-ended research and evaluations on theorem-proving and competitive programming benchmarks.
Static memory models are holding back performance鈥擯roteus reveals that incrementally activating memory can drastically enhance context retention and reduce interference.
Nearly optimal dimension lower bounds reveal that single-vector embeddings for MAX-IP require significantly more dimensions than previously thought, closing a critical gap in the literature.
Gemini 3 Deep Think can now autonomously solve a majority of problems in a challenging math competition, signaling a leap in AI's mathematical reasoning capabilities.
