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Research#AI Neuroscience📝 BlogAnalyzed: Dec 29, 2025 18:28

Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

Published:Sep 10, 2025 17:31
1 min read
ML Street Talk Pod

Analysis

This article summarizes a podcast episode featuring neuroscientist Karl Friston discussing his Free Energy Principle. The principle posits that all living organisms strive to minimize unpredictability and make sense of the world. The podcast explores the 20-year journey of this principle, highlighting its relevance to survival, intelligence, and consciousness. The article also includes advertisements for AI tools, human data surveys, and investment opportunities in the AI and cybernetic economy, indicating a focus on the practical applications and financial aspects of AI research.
Reference

Professor Friston explains it as a fundamental rule for survival: all living things, from a single cell to a human being, are constantly trying to make sense of the world and reduce unpredictability.

Research#AI Ethics📝 BlogAnalyzed: Jan 3, 2026 07:12

Does AI Have Agency?

Published:Jan 7, 2024 19:37
1 min read
ML Street Talk Pod

Analysis

This article discusses the concept of agency in AI through the lens of the free energy principle, focusing on how living systems, including AI, interact with their environment to minimize sensory surprise. It highlights the work of Professor Karl Friston and Riddhi J. Pitliya, referencing their research and providing links to relevant publications. The article's focus is on the theoretical underpinnings of agency, rather than practical applications or current AI capabilities.

Key Takeaways

Reference

Agency in the context of cognitive science, particularly when considering the free energy principle, extends beyond just human decision-making and autonomy. It encompasses a broader understanding of how all living systems, including non-human entities, interact with their environment to maintain their existence by minimising sensory surprise.

Research#AI📝 BlogAnalyzed: Jan 3, 2026 07:12

Multi-Agent Learning - Lancelot Da Costa

Published:Nov 5, 2023 15:15
1 min read
ML Street Talk Pod

Analysis

This article introduces Lancelot Da Costa, a PhD candidate researching intelligent systems, particularly focusing on the free energy principle and active inference. It highlights his academic background and his work on providing mathematical foundations for the principle. The article contrasts this approach with other AI methods like deep reinforcement learning, emphasizing the potential advantages of active inference for explainability. The article is essentially a summary of a podcast interview or discussion.
Reference

Lance Da Costa aims to advance our understanding of intelligent systems by modelling cognitive systems and improving artificial systems. He started working with Karl Friston on the free energy principle, which claims all intelligent agents minimize free energy for perception, action, and decision-making.

Prof. Karl Friston 3.0 - Collective Intelligence

Published:Mar 11, 2023 20:42
1 min read
ML Street Talk Pod

Analysis

This article summarizes a podcast episode discussing Prof. Karl Friston's vision of collective intelligence. It highlights his concept of active inference, shared narratives, and the need for a shared modeling language and transaction protocol. The article emphasizes the potential for AI to benefit humanity while preserving human values. The inclusion of sponsor information and links to the podcast and supporting platforms suggests a focus on dissemination and community engagement.
Reference

Friston's vision is based on the principle of active inference, which states that intelligent systems can learn from their observations and act on their environment to reduce uncertainty and achieve their goals.

Research#Neuroscience📝 BlogAnalyzed: Dec 29, 2025 17:37

Karl Friston: Neuroscience and the Free Energy Principle

Published:May 28, 2020 12:42
1 min read
Lex Fridman Podcast

Analysis

This article summarizes a podcast episode featuring Karl Friston, a prominent neuroscientist known for his work on brain imaging and the free energy principle. The episode, part of the Artificial Intelligence podcast, delves into Friston's influential ideas, including his free energy principle for action and perception. The article provides links to the podcast, Friston's website, and his Wikipedia page. It also includes a detailed outline of the episode's topics, ranging from brain imaging and Neuralink to the meaning of life. The focus is on making complex scientific concepts accessible to a broader audience.
Reference

Karl Friston is one of the greatest neuroscientists in history, cited over 245,000 times, known for many influential ideas in brain imaging, neuroscience, and theoretical neurobiology, including the fascinating idea of the free-energy principle for action and perception.