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I know nothing about what makes an industry succeed or fail, and also nothing about web tech, but working in the field I can comment on:

> tensorflow looks like currently loosing to pytorch - seems like google got bored and more development is for JAX, Keras wrapper

Well, TensorFlow doesn't "look like currently losing", it has already lost since a long time. I haven't seen a decent paper release code in TensorFlow in years, and all the references I see to TF online are job posts from "older" companies (to the point that, if you are looking for a job in data science, seeing TF mentioned in the job post is kind of a red flag of a place you don't want to be).

That said, I am quite certain that this has only a small impact on why Google is losing terrain, and even on why it is behind in AI (which is also debatable: narrative aside, Gemini is not that much lacking behind competitors). Certainly if TensorFlow + TPUs turned out to be better than PyTorch + GPUs they would have had a lead to start from, but if that was so important, Meta or NVIDIA would have created the first LLM, not OpenAI.

Simply, sometimes stuff happens, you can't predict it all.



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