Research Category
Artificial General Intelligence
Theoretical foundations and empirical progress toward systems with broad cognitive competence.
Papers in this category
Scaling Laws for Neural Language Models
2020 · OpenAI Technical ReportKaplan et al.
Showed that LLM performance follows smooth, predictable power-law relationships with compute, data, and parameters.
Training Compute-Optimal Large Language Models
2022 · DeepMindHoffmann et al.
Demonstrated that for a fixed compute budget, model size and training tokens should scale roughly equally.
Emergent Abilities of Large Language Models
2022 · TMLRWei et al.
Argued that certain capabilities appear abruptly above a scale threshold rather than improving smoothly.
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Artificial Intelligence
Architectures, training paradigms, and capabilities of modern machine-learning systems.
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AI Safety & Alignment
Specification, robustness, interpretability, and governance of advanced AI systems.
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Cognitive Neuroscience
How the brain encodes perception, memory, prediction, and decision-making.
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Neurotechnology
Brain-computer interfaces, neural decoding, and devices that read or modulate the nervous system.
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Neurodivergence
Cognitive variation, atypical processing styles, and the neurobiology of difference.
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Human Intelligence
Psychometrics, learning, expertise, and the cognitive architecture of human thought.
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