The angle is that by releasing cutting edge AI research to the public openly, the relative difference between open source models/tech and closed source tech shrinks.
Whether or not you think the "value" of AI products is proportional to their performance gap vs the next closest thing or not is up to you. Very interesting PG essay I read recently talks about the opposite of this (Superlinear returns) where if you're half as good as the next competitor, you don't get half the customers, you get 0.