I just published a quick breakdown on a project that really stood out to me: Perle Labs. They’re trying to fix one of AI’s biggest problems — data quality — by turning training into simple human tasks that feed directly into model improvement. Instead of relying only on expensive experts, Perle uses a distributed, task-based system where people generate real-world training signals. It’s still early, but the concept is genuinely interesting if they execute it well. 🎥 Watch the full breakdown here:

https://youtu.be/c6I50Gd7zwo?si=sZm17jHaXGLFL_5Y

Would love to hear what you think about human-powered AI systems.