The journey to this point began a little more than 9 years ago with a 2012 submission, called AlexNet, to the annual ImageNet LS
- Within a year, startups began springing up to replicate AlexNet
- Fast forward to 2022: Neural networks have changed every aspect of machine intelligence in software systems we all use daily, from recognizing our speech to recommending what's in our news feed
- Today's systems still employ neural networks - but at a vastly different scale
- Recent systems for understanding and generating human language, such as OpenAI's GPT-3, were trained on supercomputer-scale resources
- These new systems require tens of millions of dollars in computation
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