The ARC Prize, hosted by Mike Knoop and François Chollet, aims to increase the number of people working on frontier AGI research, popularize an objective measure of AGI progress, and solve ARC-AGI. The competition is open to everyone, regardless of their background. The authors believe that by incentivizing open-source solutions, they can increase the rate of new ideas, boost the chances of discovering AGI, and ensure a more even playing field between small and large AI companies.
Key takeaways:
- The article announces the ARC Prize, a $1,000,000+ competition aimed at advancing open AGI (Artificial General Intelligence) progress, hosted by Mike Knoop and François Chollet.
- It argues that modern AI systems, while excellent at memorization, lack the ability to generate new reasoning based on novel situations, which is a key aspect of general intelligence.
- The article criticizes the trend of AGI progress becoming closed source, arguing that this hampers the rate of new ideas and decreases the global chance of AGI discovery.
- The ARC-AGI eval, introduced by François Chollet, is highlighted as the only AI evaluation which measures general intelligence, and the competition aims to beat and open-source a solution to this evaluation.