AGI Is Not Multimodal
📰 The Gradient
The concept of AGI being multimodal is challenged, highlighting the importance of embodied understanding in human intelligence
Action Steps
- Recognize the distinction between language-based AI models and human thought processes
- Consider the role of embodied understanding in human intelligence
- Evaluate the current state of generative AI models in capturing human-like intelligence
- Investigate alternative approaches to AGI that incorporate multimodal and embodied understanding
Who Needs to Know This
AI researchers and engineers benefit from understanding the limitations of current generative AI models, and how they differ from human intelligence, which can inform the development of more comprehensive AI systems
Key Insight
💡 Current generative AI models lack the tacit embodied understanding that underlies human intelligence
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🤖 AGI may not be as close as we think, due to the complexity of human embodied understanding #AI #AGI
Key Takeaways
The concept of AGI being multimodal is challenged, highlighting the importance of embodied understanding in human intelligence
Full Article
"In projecting language back as the model for thought, we lose sight of the tacit embodied understanding that undergirds our intelligence." –Terry Winograd The recent successes of generative AI models have convinced some that AGI is imminent. While these models appear to capture the essence of human
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