Show HN: Datapoint – replacing mobile ads with data labelling tasks (trydatapoint.com)

Datapoint AI has launched a novel approach to enhance data labeling for AI models by replacing traditional mobile ads with engaging data labeling tasks. This innovative solution involves transforming ad units into quick, interactive tasks that gather user insights through pairwise comparisons and rankings, akin to a gamified experience similar to Duolingo. This method not only makes data collection more enjoyable for users but also enables app publishers to earn more per impression and provides AI labs with a vast, diverse dataset that is difficult to achieve through conventional methods. The significance of Datapoint's approach lies in its potential to alleviate the current bottleneck in quality human feedback, which is crucial for training sophisticated AI models. Traditionally, data labeling has been slow, costly, and reliant on gig workers, limiting scalability. By leveraging existing mobile infrastructure to embed data labeling tasks within apps, Datapoint aims to turn everyday smartphone users into sources of valuable data, allowing for the rapid collection of human preference signals at an unprecedented scale. This could revolutionize the AI community's ability to train models with richer, more representative datasets while improving user engagement and generating additional revenue for app developers.