Hi. Author here. This is the first in a series I've been writing for a while to help orient people about useful perspectives to have in catching up to all that's happening in AI/ML. It's based on what I've seen in the industry and the nlp company I work with (Cohere, where the post is hosted).

This article has the first four points (out of thirteen) that are useful to keep in mind. They are:

1- Recent AI developments are awe-inspiring and promise to change the world. But when?

2- Make a distinction between impressive cherry-picked demos, and reliable use cases that are ready for the marketplace

3- Think of models as components of intelligent systems, not minds

4- Generative AI alone is only the tip of the iceberg

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The article goes into each one with more detail. Welcoming all feedback and perspectives as we collectively figure out this new frontier.