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• AI-native products require a different methodology of building them that needs to go beyond the lean startup approach.
• Continuous learning machines that are automated are necessary for AI-native products to operate at a human level or surpass it.
• AI-first turns the problem into an AI hammer that makes everything else look like an AI nail, whereas AI transformation is a better concept.
• Academia operates off of standardized data sets, whereas the industry requires a continuous stream of data.
• Cruise has built a mindset of a continuous learning machine to break silos between teams and build safe autonomous vehicles.
• Cruise's modeling engineers collaborate with the data team to build a modeling solution that assumes a constant stream of data.
• AI cannot turn a bad product into a good one, and companies should focus on their product first before considering AI as a tool.