Let's Build an ACOG - Artificial Cognitive Entity

Overview

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Explore the intricacies of building an artificial cognitive entity in this 59-minute video, which serves as the second part of a series. Delve into crucial topics such as the moral compass, ethics of AI, and the three levels of morality. Examine unconscious brain processes, cognitive control, and prompt engineering techniques aimed at reducing suffering. Investigate the definition and implications of suffering for artificial entities, and learn how to generate questions to enhance understanding. Discuss the concept of prosperity, its relationship with honesty and trust, and strategies to increase it for all living beings. Address ecological concerns, climate change, and the tension between human needs and environmental preservation. Analyze the importance of inference in intelligence and the need for cognitive control in AI systems. Discover prompt chaining with GPT-3 and the significance of explainability in artificial cognition. Conclude by considering practical scenarios, such as a robot's response to a fire alarm while assisting with dinner preparation.

Syllabus

- Building an artificial cognition
- The Moral Compass
- The three levels of morality
- The Ethics of AI
- Unconscious processes in the brain
- The importance of cognitive control
- Prompt engineering to reduce suffering
- Defining suffering to decrease suffering globally
- The implications of suffering for artificial cognitive entities
- The Moral Compass
- Generating questions to increase understanding
- The definition and increase of prosperity
- The relationship between honesty, trust, faith, and prosperity
- Ecology, climate change, and the antagonism between human needs and environmental harm
- The suffering caused by climate change
- Increasing prosperity for all living things
- The goal of understanding
- The goal of increasing understanding for all intelligent beings
- Increasing understanding of ecology and climate change
- The goal is to write an evaluation of the situation
- The importance of inference in intelligence
- The need for cognitive control in artificial intelligence
- The cognitive control loop
- Prompt chaining with GPT3
- The importance of explainability in artificial cognition
- The implications of a fire alarm
- The ramifications of a fire alarm going off while a robot is helping its owner make dinner
- The end of the transcript