Image generations like Dalle are based on GAN, which is invented by Ian Goodfellow from Google Text generations like LLMs are based on transformers architecture, which is invented by researchers in Google Crazy how much Google has contributed without no recognition
That's because Google has never been good at making business out of those ideas. We have excellent researchers and engineers but we don't have that good product manages (or environment where they can work at their full potential ) Just look at internal code search 100 times better than github, infra spanner way better than cloud spanner the examples are endless.
There is no incentive in big companies to do so. Let us say you single handedly do it and bring Google a new multi-billion market. What is in it for you? Crazy hours and possibly broken marriage just to get back a promo to level +1.
Agree 100% with meta. But itās not just Google, this is everywhere. The incentive infrastructure isnāt set up to reward you with a multi million $ VP role even if you move mountains. All the while, the 2-4 people above you are feasting off of your achievements with 0 contributions (and will get their VP/C suite/Director promos instead)
Agreed but google itself didnāt recognize its productsā potential into creating business opportunities. Entire google cloud infrastructure is such a major example
Itās giving Kubernetes
False news! Dalle is not based on GAN. No todayās generative tech uses GAN.
Good pt
Where is the āplaceā core diffusion model research came from?
You donāt know much
why didn't Google patent GANs then?
OP a lot of these pre cursors were around (even before) the 1970s well before Google was founded. A lot of AI has been about improvements rather than inventions. Assisted quite a bit by hardware innovation and its cost savings.
Nonsense precursors around for decades.
Standing on the shoulders of giantsā¦
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Everything is based on something. All of Googles contributions were based on something else.