Summary of Minds, Brains, Ai, by Jay Seitz
Minds, Brains, AI
by Jay Seitz
First submitted to arxiv on: 21 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Artificial general intelligence (AGI) has been touted as just around the corner for decades, with claims that computers will become conscious, intelligent, and capable of thinking like humans. However, despite these grand promises, there is little scientific evidence to support these claims. This paper reviews the scientific research in cognitive and neurosciences, evolutionary biology, linguistics, data science, comparative psychology, self-driving cars, robotics, and learning sciences to address three key questions: Do computers think or reason? Are they sentient or conscious? And do they have a theory of mind? |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial general intelligence has been promised for decades, but there’s no scientific evidence to back it up. This paper looks at the science behind AGI claims and answers three big questions: Can machines think like humans? Are they conscious? And can they understand what others are thinking? |
