AI Developers Turn to Synthetic Data as Original Content Dries Up
AI models are facing a crisis as the availability of high-quality training data diminishes. A report indicates that DeepSeek, a Chinese AI model, produces responses similar to ChatGPT, raising concerns about its training sources. Google CEO Sundar Pichai noted that AI developers are exhausting free, high-quality data, making future progress more challenging. Researchers are increasingly turning to synthetic data, which has historical roots in statistics and machine learning, to address data scarcity. However, synthetic data poses risks, including potential biases and manipulation. Privacy restrictions further complicate access to real-world datasets, making synthetic data a necessary alternative. Blockchain technology may help ensure the integrity of synthetic data, aiming for tamper-proof solutions.
