An Improved Last-Iterate Convergence Rate for Anchored Gradient Descent Ascent

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Show HN: Fabro – open-source dark software factory Hi — I created Fabro to free myself from supervising a fleet of Claude Code tabs running in a REPL (read-eval-prompt-loop). Model launches reshape the race because they force rivals to answer on capability, distribution, and rollout speed.

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GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning arXiv:2604.02721v1 Announce Type: new Abstract: Competitive programming remains one of the last few human strongholds in coding against AI. Policy stories matter because compliance friction can slow adoption even when model quality keeps improving.

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The Topology of Multimodal Fusion: Why Current Architectures Fail at Creative Cognition arXiv:2604.04465v1 Announce Type: new Abstract: This paper identifies a structural limitation in current multimodal AI architectures that is topological rather than parametric. Infrastructure updates matter because AI momentum depends on who can actually train and serve models at scale.

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Google's Gemini wrote a 5k-word paper about my empty website Google DeepMind announced an update through Hacker News AI. This matters because it changes how the market reads current momentum, execution quality, or adoption potential.

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Gemini is making it faster for distressed users to reach mental health resources Google says it has updated Gemini to better direct users to get mental health resources during moments of crisis. This matters because it changes how the market reads current momentum, execution quality, or adoption potential.

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Elon Musk, Quantum Microtubules, and the Race for the Conscious Machine A recent Quanta Magazine piece by John Pavlus examines a burning question: how close are humanoid robots to becoming more sophisticated than humans? Infrastructure updates matter because AI momentum depends on who can actually train and serve models at scale.

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