Join Date
April 2026
Gender
Not Specified
Age
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About Greg Kamradt
Greg is the president of ARC Prize Foundation. He leads the nonprofit's work building benchmarks that have been used by OpenAI, Anthropic, Google, and xAI.
Previously, Greg led ops + product at Digits (AI Accounting), and spent several years at Salesforce driving strategy, growth, and predictive analytics.
Greg is also the founder of Leverage, teaching 100K+ developers how to build their first AI applications through his YouTube channel (66K subs).
Previously, Greg led ops + product at Digits (AI Accounting), and spent several years at Salesforce driving strategy, growth, and predictive analytics.
Greg is also the founder of Leverage, teaching 100K+ developers how to build their first AI applications through his YouTube channel (66K subs).
Companies & Work
ARC Prize Foundation
ARC Prize builds AI benchmarks that measure general intelligence. Our benchmark, ARC-AGI, has been used by OpenAI, Anthropic, Google DeepMind, and xAI.
Founded by Mike Knoop and Francois Chollet, we inspire open source artificial general intelligence (AGI) research through benchmarks (the ARC-AGI series), global competitions, research grants, community, and content, we exist to guide researchers, industry, and regulators on the path to AGI.
We believe that AGI requires more than just scaling up existing AI models. It demands a fundamental shift towards systems capable of genuine fluid intelligence, the ability to adapt to novel challenges and solve problems efficiently, much like humans do.
Founded by Mike Knoop and Francois Chollet, we inspire open source artificial general intelligence (AGI) research through benchmarks (the ARC-AGI series), global competitions, research grants, community, and content, we exist to guide researchers, industry, and regulators on the path to AGI.
We believe that AGI requires more than just scaling up existing AI models. It demands a fundamental shift towards systems capable of genuine fluid intelligence, the ability to adapt to novel challenges and solve problems efficiently, much like humans do.
