Ask HN: What area of AI/ML doesn't get enough energy?

There’s been so much focus on LLMs, image & video generation, and text to speech models lately.

These models obvious have wide general purpose capabilities, so they are particularly useful to folks technical and non-technical.

I’m curious what (relatively) general model domains does the HN community not think get enough research and product building energy?

For example do you think that image recoginition or non-verbal audio recognition isn’t getting the direct sunlight it deserves from both developers and customers?