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Evolution ranks organisms by competence | Michael Levin and Lex Fridman

October 3, 2022
by
Lex Clips
YouTube video player
Evolution ranks organisms by competence | Michael Levin and Lex Fridman

TL;DR

Evolution's multi-hierarchical competence architecture allows for intelligent cooperation and competition among different levels, resulting in efficient and effective systems.

Transcript

this idea of multi-hierarchical competence architecture which is incredible to think about so this hierarchy that Evolution builds I don't know who's responsible for this I also see the incompetence of bureaucracies of humans when they get together so how the hell does evolution build this where at every level only the best get to stick around they... Read More

Key Insights

  • 🎚️ Evolution's hierarchical competence architecture relies on cooperation and competition, ensuring the selection of the most competent components at each level.
  • ❓ Competency provides an engineering perspective that quantifies and objectively assesses complex systems.
  • 👻 Multi-scale competency allows lower-level components to achieve optimal outcomes without needing to know the larger picture.
  • 🖤 Biology's approach to hierarchical competence architecture differs from current AI systems, which often lack the same depth of intelligence.
  • 👾 The bending of the option space enables efficient and adaptable systems in biology.
  • 😐 Competent components compensate for variability and allow mutations to be neutral, optimizing the fitness landscape.
  • 🥺 Every level in a biological system has its own goals, leading to a combination of cooperation and self-interest.

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Questions & Answers

Q: How does evolution construct a multi-hierarchical competence architecture?

Evolution's hierarchical competence architecture is built through the selection of the most competent components at each level. Cooperation and competition drive the development and fine-tuning of these hierarchies.

Q: How does competency differ from subjective terms like sentience?

Competency, unlike subjective terms, offers an empirical and quantifiable approach to understanding complex systems. It focuses on measurable indicators, such as the pursuit of goals, that can be objectively assessed.

Q: Why do different levels within a biological system compete with each other?

Competition between levels in biology is essential for development and optimization. By competing, tissues and organs in embryogenesis ensure that the fittest components are selected, leading to more efficient and effective systems.

Q: How does bending the option space contribute to efficient systems?

Bending the option space allows lower-level components to achieve optimal outcomes without needing to know the bigger picture. This enables them to respond locally and align with the overall goals of the system, resulting in efficient and adaptable systems.

Summary & Key Takeaways

  • Evolution builds a hierarchical competence architecture where each level only keeps the best components, leading to intelligent cooperation and competition.

  • Competency, viewed from an engineering perspective, offers a quantifiable way to assess and understand complex systems.

  • Biology utilizes multi-scale competency to bend the option space, allowing lower-level components to reach optimal outcomes without knowing the larger picture.


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