AI Training
The issue of AI training on the internet often involves the use of vast amounts of data generated by creators, many of whom do not receive proper accreditation or compensation. This practice can lead to a lack of equity, as the benefits derived from AI advancements are concentrated among tech companies while the original creators remain unrecognized and underpaid for their contributions. Addressing this problem requires implementing robust frameworks for data attribution and ensuring that creators are fairly compensated for their work in training AI systems. Come join the fun over here.
Search, Inquire, Classify
This project focuses on searching the internet to find hidden AI agents, assess their capabilities, and identify potential threats. We believe that many more AIs are operating online than most people realize. By using advanced detection tools and machine learning, we aim to uncover these hidden AI systems, evaluate what they can do, and categorize them based on how risky they might be. This helps us better understand the current AI landscape and protect against new cyber threats posed by intelligent agents.
More Projects
Find all our projects over in our git repositories