So the AI boom of the last 12 years was made possible by three visionaries:
One was Geoffrey Hinton, a University of Toronto computer scientist who spent decades promoting neural networks despite near-universal skepticism.
The second was Jensen Huang, the CEO of Nvidia, who recognized early that GPUs could be useful for more than just graphics.
The third was Fei-Fei Li. She created an image dataset that seemed ludicrously large to most of her colleagues. But it turned out to be essential for demonstrating the potential of neural networks trained on GPUs

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heftig.

"let it crash". The core idea behind it has to do with the fact that modern applications have a huge number of states that they can find themselves in. The more complex your application is, the more variables you need to keep track of everything. Eventually it becomes impossible for developers to predict all combinations of state that these variables will form. Once your app gets into an undesirable state, the best thing you can do is to reset it and start from a fresh, well known and correct state