What "AI" means for most people is the software product they see, but only a part of it is the underlying machine learning model. Each foundation model receives additional training from thousands of humans, often very lowly paid, and then many prompts are used to fine-tune it all. It's 90% product development, not ML research.
If you look at AI research papers, most of them are by people trying to earn a PhD so they can get a high-paying job. They demonstrate an ability to understand the current generation of AI and tweak it, they create content for their CVs.
There is actual research going on, but it's tiny share of everything, does not look impressive because it's not a product, or a demo, but an experiment.
If you look at AI research papers, most of them are by people trying to earn a PhD so they can get a high-paying job. They demonstrate an ability to understand the current generation of AI and tweak it, they create content for their CVs.
There is actual research going on, but it's tiny share of everything, does not look impressive because it's not a product, or a demo, but an experiment.