> Unfortunately, this early lead would be completely squandered within a few short years, with PyTorch/Nvidia GPUs easily overtaking TensorFlow/Google TPUs. ML was, and frankly is, still too nascent to have significant technical barriers to entry. The sustained eye-popping funding for AI companies generated a surge in supply, with the number of ML researchers growing ~25% YoY for the past decade. I taught myself enough ML to blend in with the researchers at Brain over a relatively short 2 years, and so have many others. Nobody, not even Google, can afford to throw money into a bottomless pit.
> Unfortunately, this early lead would be completely squandered within a few short years, with PyTorch/Nvidia GPUs easily overtaking TensorFlow/Google TPUs. ML was, and frankly is, still too nascent to have significant technical barriers to entry. The sustained eye-popping funding for AI companies generated a surge in supply, with the number of ML researchers growing ~25% YoY for the past decade. I taught myself enough ML to blend in with the researchers at Brain over a relatively short 2 years, and so have many others. Nobody, not even Google, can afford to throw money into a bottomless pit.