GM gQuip 🌞 I have noticed most AI conversations focus on which model is winning. GPT. Claude. Open-source. But honestly, the bigger question might be: how good is the information these models are working with? Because smarter AI means very little if the data layer is weak. That’s partly why @quipnetwork caught my attention. The direction feels less about hype and more about infrastructure. As AI grows, the challenge probably becomes: • accessing reliable information • verifying what is true • moving data efficiently at scale In a world overloaded with content, trust starts mattering more. The next generation of AI may not only depend on compute… but on networks that make high-quality information more usable and verifiable. Curious what others think: Are we still early for this tech, or closer than most people realize? 👀