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11min chapter
How the ARC Prize is democratizing the race to AGI with Mike Knoop from Zapier
No Priors: Artificial Intelligence | Technology | Startups
Defining Artificial General Intelligence and Limitations of Language Models
This chapter explores the consensus definition of Artificial General Intelligence (AGI) in the industry, emphasizing the importance of efficient skill acquisition for general intelligence. It discusses the limitations of large language models (LLMs) in achieving true AGI, pointing out the need for systems capable of discovering new concepts beyond existing patterns. The chapter also delves into promising techniques like program synthesis and neural architecture search to advance artificial intelligence and highlights the distinctions between intelligence and sentience in relation to AGI.
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