The Data Quality Bottleneck: Why Most Health DePINs Are Training On Garbage
中文摘要
医疗DePINs面临数据质量瓶颈而非算力。Web3 AI协议常基于“垃圾数据”训练，严重阻碍其有效发展。
English Summary
Health DePINs face a data quality bottleneck, not compute power. Web3 AI protocols are often trained on "garbage data," hindering effective development despite advanced tech.
Original Excerpt
the biggest bottleneck in web3 artificial intelligence is not compute power. it is data quality. if you feed an ai protocol garbage data… Continue reading on Medium »