AGI progress has stalled.
New ideas are needed.
ARC Prize
ARC Prize is a $1,000,000+ public competition to beat and open source a solution to the ARC-AGI benchmark.
Hosted by Mike Knoop (Co-founder, Zapier) and François Chollet (Creator of ARC-AGI, Keras).
ARC-AGI
Most AI benchmarks measure skill. But skill is not intelligence. General intelligence is the ability to efficiently acquire new skills. Chollet’s unbeaten 2019 Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) is the only formal benchmark of AGI.
It’s easy for humans, but hard for AI.
Play
Try ARC-AGI. Given the examples, identify the pattern, solve the test puzzle.
1. Configure your output grid:
2. Click to select a color:
3. See if your output is correct:
AGI
Progress toward artificial general intelligence (AGI) has stalled. LLMs are trained on unimaginably vast amounts of data, yet they remain unable to adapt to simple problems they haven’t been trained on, or make novel inventions, no matter how basic.
Strong market incentives have pushed frontier AI research to go closed source. Research attention and resources are being pulled toward a dead end. You can change that.
Defining AGI
Consensus but wrong:
AGI is a system that can automate the majority of economically valuable work.
Correct:
AGI is a system that can efficiently acquire new skills and solve open-ended problems.
Definitions are important. We turn them into benchmarks to measure progress toward AGI.
Without AGI, we will never have systems that can invent and discover alongside humans.
Leaderboard
| Human Average | …… | 85% |
|---|---|---|
| MindsAI | USA | 34% |
| SM | Iran | 30% |
| armo | Belgium | 29% |
| notXORdinary | Denmark | 8% |
| pablo | Switzerland | 5% |
Win Prizes
Total Prizes: $1,100,000
Grand Prize: $500,000
2024 Progress Prizes: $100,000
To Be Announced: $500,000
ARC Prize 2024 is live on Kaggle.
