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1
- Building an artificial cognition
2
- The Moral Compass
3
- The three levels of morality
4
- The Ethics of AI
5
- Unconscious processes in the brain
6
- The importance of cognitive control
7
- Prompt engineering to reduce suffering
8
- Defining suffering to decrease suffering globally
9
- The implications of suffering for artificial cognitive entities
10
- The Moral Compass
11
- Generating questions to increase understanding
12
- The definition and increase of prosperity
13
- The relationship between honesty, trust, faith, and prosperity
14
- Ecology, climate change, and the antagonism between human needs and environmental harm
15
- The suffering caused by climate change
16
- Increasing prosperity for all living things
17
- The goal of understanding
18
- The goal of increasing understanding for all intelligent beings
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- Increasing understanding of ecology and climate change
20
- The goal is to write an evaluation of the situation
21
- The importance of inference in intelligence
22
- The need for cognitive control in artificial intelligence
23
- The cognitive control loop
24
- Prompt chaining with GPT3
25
- The importance of explainability in artificial cognition
26
- The implications of a fire alarm
27
- The ramifications of a fire alarm going off while a robot is helping its owner make dinner
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- The end of the transcript
Description:
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. Read more

Let's Build an ACOG - Artificial Cognitive Entity

David Shapiro ~ AI
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