Tencent Hy
• Abstract Today, we are introducing Hyra-1.0, the first release of Hyra (Hunyuan Research Agent) - an agent capable of recursive self-improvement, purpose-built for performance-driven research and engineering tasks. Over the past year, recursive self-improvement (RSI) and automated research have become two of the most active frontiers in AI. Google DeepMind's AlphaEvolve[1] [1] Google DeepMind, “AlphaEvolve: A Gemini-powered Coding Agent for Designing Advanced Algorithms.” Official technical blog: https://deepmind.google/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/ found a way to multiply 4×4 complex-valued matrices using just 48 scalar multiplications. Together AI[2] [2] Together AI, “Einstein Arena.” Official article introducing open-ended mathematical exploration with multiple agents and its results: https://www.together.ai/blog/einsteinarena used a team of agents in an open-ended environment to raise the known lower bound for the 11-dimen
Tencent Hy
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