AI Capability Terrain: Mapping the Frontier and Sinkholes of AI Progress
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Forecasting and visualizing AI progress through logistic growth modeling and capability sinkhole detection
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Forecasting and visualizing AI progress through logistic growth modeling and capability sinkhole detection
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Aligning AI papers and code repositories using fine-tuned LLMs
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Investigating EEG–EMG signatures of voluntary vs electrically stimulated supinator activation
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Studying EEG and eye-tracking patterns to inform AI models of human decision-making
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Developing biologically inspired RL agents integrating curiosity, survival, and safety
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Comparing spiking neural networks and CNNs in visual working memory tasks