FRACTION AI
FRACTION AI By 2025, it is projected that platforms like Huggingface will host over 2 million AI models. This staggering figure illustrates the rapid growth of AI development, but it also highlights a significant concern—how can we ensure these models are trained using high-quality, accessible data? As more organizations and developers tap into AI’s potential, the risk of dataset monopolization by a few large companies looms larger than ever. Fraction AI aims to democratize AI by decentralizing the data creation process. Whether it’s labeling images, text, audio, or video, Fraction AI brings together the power of human intelligence and autonomous agents to ensure datasets are accurate, diverse, and accessible to all. This vision is essential for fostering a more inclusive AI landscape where no single entity holds excessive control over the resources required to train AI models. The Power of Decentralized Collaboration At the heart of Fraction AI’s approach is its decentralized structur