free energy principle
PulseAugur coverage of free energy principle — every cluster mentioning free energy principle across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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LLM personalization framework models user states for better conversation
Researchers have developed a new framework called PUMA (Prospective User-state Modeling for Action selection) to enhance personalization in large language model conversations. PUMA utilizes the Free Energy Principle to …
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AI agents need persistent internal states, not just on-demand processing
The current paradigm for AI agents, where they function like smart calculators that activate only when prompted, is a significant limitation. True AI agents require a persistent internal state and continuous operation, …
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New framework improves U-statistics with active inference for costly labels
Researchers have developed a new active inference framework for U-statistics, aiming to improve estimation efficiency when labeling data is expensive. This approach selectively queries informative labels within a fixed …
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Category theory framework proposed for defining and comparing AGI architectures
This working paper proposes a formal framework for comparing different Artificial General Intelligence (AGI) architectures using category theory. The authors aim to provide a unified foundation for AGI systems, integrat…
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New principle unifies Bayesian inference, game theory, and thermodynamics
A new paper introduces the Game-Theoretic Free Energy Principle, a framework that unifies Bayesian inference, game theory, and thermodynamics. This principle suggests that multi-agent systems minimizing local free energ…
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New MoE Architectures Enhance Efficiency and Performance
Researchers are developing advanced techniques to improve Mixture-of-Experts (MoE) models, particularly addressing challenges in domain transitions and inference efficiency. One approach, inspired by the Free Energy Pri…