It's helpful to realize that Dylan (Semianalysis), Dwarkesh, Aschebrenner (the Situational Awareness guy) and Sholto Douglas (Anthropic) all share a house in SF, so what you are getting from any of them is the SF AI scene view of the world, which is interesting to know, but probably not the best predictor of how things are going to pan out.
Why the angst ? I suspect this announcement punctured a lot of people's bubbles, and many are in disbelief and denial and hence the emotional reaction seen here. That a company which never designed chips could suddenly leapfrog the best in the industry. What many forget is that openAI and anthropic are in a unique position to own the end-user experience, and that provides them a distinct advantage. But, making announcements and actually delivering are two different things, and it remains to be seen if these are actually viable. In any case, it gives openai leverage over their vendors.
Notably the only one of the chips that also has a strong inference focus (but not only) is AMD's M1950X, which trounces OpenAI's chip (20 vs 3.4 FP8 PFLOPS, 40 vs 13.4 FP4 PFLOPS, 23 vs 15 TB/sec memory bandwidth), although it does use a lot more power (2500 vs 700W).
Google's TPU (now 8th generation) is glaringly absent from the performance comparison.
At the end of the day what really matters is cost not performance since you can always just run more chips. Google are full stack optimized from chip to data center, and might be expected to have an advantage.