No Priors: Artificial Intelligence | Technology | Startups How the ARC Prize is democratizing the race to AGI with Mike Knoop from Zapier
14 snips
Jun 11, 2024 
Mike Knoop, co-founder and Head of AI at Zapier, dives into the fascinating world of Artificial General Intelligence (AGI) and the innovative ARC Prize. He challenges traditional views on AGI, advocating for a definition centered on a system’s ability to learn. The conversation explores why large language models may not lead us to true AGI, as well as how Zapier is revolutionizing workflow automation with AI. Knoop emphasizes the importance of open-source approaches and the need to avoid premature regulations that could stifle potential breakthroughs.
AI Snips
Chapters
Books
Transcript
Episode notes
Flawed AGI Definition
- The current popular definition of AGI as a system that can do most economically useful human work is flawed.
- It focuses on economic usefulness, not general intelligence.
True AGI Definition
- True AGI is defined by the efficient acquisition of new skills, not just economic value.
- This allows solving open-ended problems, unlike current AI which struggles to transfer skills.
LLM Limitations
- LLMs excel at high-dimensional memorization and pattern recognition.
- However, they lack the ability to discover new knowledge or solve problems with unknown solutions.
