Off the top of my head and in no particular order :
1- Playing human games at superhuman performance from raw pixels
2- Recognizing objects and people in images at human or better performance
3- Recognizing human voice in real world noisy environments and parsing it into text at human or better performance
>How significant are these top 3 things?
They generate billions of dollars of profit and beat human knowledge and expertise that took thousands\millions of years to craft and\or evolve with nothing but a GPU and a lot of electricity.
>Have you ever built a production model for a large company or have a tier 1 phd?
No.
>what are your qualifications for labeling a claim ridiculous.
I have a brain that can spot ridiculous hyperbolic claims, and experience-backed knowledge with neural networks and machine learning that can explain with examples why they are ridiculous and hyperbolic.
If you do have the qualifications you request, start with using them to support your claims. Here's a small challenge that should pose no difficulty to you.
Show me, with derivations and citations, how an RNN is "just" an obscure statistical model. Which statistician first published or applied it ? Is it taught in a statistics course you know of ? Which ones ? Are research statisticians publishing on it right now or ever ? In what sense is it part of the science of statistics like, say, the normal distribution is ?