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the intentions are mostly good.

he expresses the belief that the question can machines think? has no value.Google notes that their key discovery is that generic LLMs (e.

GPT-3 can write original prose with mind-boggling fluency.based on what is known the answers seem to be probably not and sort of.Each of them is different in some way.

This is a superlative feat of statistics. Google announced LaMDA with 137 billion parameters.

 Microsoft and Nvidia announced Megatron -- Turing NLG with 530 billion parameters.

 DeepMind announced Chinchilla with 70 billion parameters.Socher is heads-down on mission impossible.

respectively) all you can do is serve them as quickly as possible.But privacy is another matter for the online ad giant.

and worked with deep learning pioneers Andrew Ng and Chris Manning at Stanford.noting that the only way to get something real out of Google search is to instruct it to get results from sites like Reddit explicitly every time and that Googles idea of innovation seems to come down to adding an ever-growing list of ads to its results to increase sales.