Chapter
Utilizing robust architectures to connect data and frameworks
39:25 - 51:58 (12:33)
The key to teaching machines how to reason over data in similar ways to humans is by enabling them to learn the frameworks and connect them to the data. This involves combining machine learning techniques with frameworks in order to ultimately make sense to humans.
Clips
The key to making computers reason like humans lies in creating algorithms that combine the specific learnings of machine learning and neural networks with frameworks defined by human experts.
39:25 - 43:12 (03:47)
Summary
The key to making computers reason like humans lies in creating algorithms that combine the specific learnings of machine learning and neural networks with frameworks defined by human experts. Expert systems created in the 80s and 90s can offer inspiration, but modern fusions between AI and knowledge representation are likely to look more like neural networks.
ChapterUtilizing robust architectures to connect data and frameworks
EpisodeDavid Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI
PodcastLex Fridman Podcast
Inductive machine learning techniques are good at observing patterns of data and generalizing from those patterns, but ultimately need humans to connect them to frameworks that make sense to them for communication purposes.
43:12 - 48:16 (05:04)
Summary
Inductive machine learning techniques are good at observing patterns of data and generalizing from those patterns, but ultimately need humans to connect them to frameworks that make sense to them for communication purposes. The collaboration between humans and machines will be complementary, with the machine having stronger memory and reasoning abilities, and the human providing interpretation and connection to human understanding.
ChapterUtilizing robust architectures to connect data and frameworks
EpisodeDavid Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI
PodcastLex Fridman Podcast
Different fundamental values and assumptions in AI frameworks can lead to vastly different conclusions.
48:16 - 51:58 (03:41)
Summary
Different fundamental values and assumptions in AI frameworks can lead to vastly different conclusions. AI can overcome biases in human intelligence by analyzing multiple perspectives.