Part 2/7:
Traditionally, training models like OpenAI's GPT involves feeding them vast amounts of human-generated data, primarily from sources like Wikipedia, websites, books, and other texts. However, Musk pointed out a fundamental flaw in this approach: much of this data contains misinformation, propaganda, and biases that can skew AI understanding.
"If you feed a model lies and distortions, of course, you train it to lie and distort," Musk emphasized. This acknowledgment underscores a core challenge—how to ensure that AI models truly understand and represent accurate knowledge when they're trained on inherently flawed human data.