Hey I am on Medialย โขย 11h
This is a fundamental misunderstanding of how AI development works. The idea that "all data has been used up" is completely false. New data is being created every second across the internet - scientific papers, conversations, creative works, business transactions, etc. Plus, the bottleneck in AI isn't just data quantity but model architecture, training methods, and computational approaches. Look at the progress from GPT-3 to GPT-4 - it wasn't just more data, but completely different training paradigms and architectures. This is like claiming we've "used up all the science" because Newton discovered gravity.
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