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ML is a broad topic, and it keeps getting wider, and deeper. Even ML specialists don't try to keep up with it all. Be comfortable with not knowing everything.

Machine learning engineers are software engineers, and they exist, so the title is wrong. I suppose it is in Nyckel's interest to claim otherwise.

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The industry has been consolidating around transformers. I'd say it's getting deeper, not wider.

NLP is not the industry, and a lot of research still goes into other things, like RL

I've worked with several transformers competitors, and it def wont stay centralized on them

Transformers are used outside of NLP

Transformers are in many state-of-art models but they don't solve all machine learning problems. Even within the world of transformers, there are many variations depending on the application: generating embeddings, translation, next-token prediction, recommendations.

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