Machine Learning Street Talk (MLST) #106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]
9 snips
Mar 11, 2023 
In this fascinating discussion, Professor Karl Friston, a renowned figure in neuroscience, dives into a groundbreaking vision of artificial intelligence that integrates humans and nature into a collective ecosystem. He explores the principles of active inference and shared narratives as tools for enhancing intelligence and ethical decision-making. Friston also challenges us to rethink our relationship with technology and each other, emphasizing the potential for AI to serve the common good while respecting human dignity. This thought-provoking conversation blurs the lines between consciousness, morality, and self-organization.
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Markov Blankets in Time
- Markov blankets exist over different timescales, nesting within each other.
- They separate internal and external states, facilitating interaction.
Self-Sacrifice Example
- A species sacrificing reproduction for the greater good demonstrates information sharing.
- This highlights the dynamic nature and causal pressures within complex systems.
Inactivism
- Inactivism, central to active inference, involves circular causality between agent and environment.
- Active inference simulates action-perception cycles.
