I am very excited about the basic idea that neither Google nor any Big Tech company has the Moat as per the hackernews reference above. Very interesting around this is the interview with James Wang of Cerebras James Wang about this where he makes a strong case (in my view in any case) that in future open source large language models are going to be much more prominent than those of Big Tech.
I quote from the description on Toutube about the interview: "Scaling laws are as important to artificial intelligence (AI) as the law of gravity is in the world around us. AI is the empirical science of this decade, and Cerebras is a company dedicated to turning state-of-the-art research on large language models (LLMs) into open-source data that can be reproduced by developers across the world. In this episode, James Wang, an ARK alum and product marketing specialist at Cerebras, joins us for a discussion centered around the past and the future of LLM development and why the generative pre-trained transformer (GPT) innovation taking place in this field is like nothing that has ever come before it (and has seemingly limitless possibilities). He also explains the motivation behind Cerebras’ unique approach and the benefits that their architecture and models are providing to developers." On Mon, 8 May 2023 at 01:09, Merle Lefkoff <merlelefk...@gmail.com> wrote: > Thank you Roger. > -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. . > FRIAM Applied Complexity Group listserv > Fridays 9a-12p Friday St. Johns Cafe / Thursdays 9a-12p Zoom > https://bit.ly/virtualfriam > to (un)subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > FRIAM-COMIC http://friam-comic.blogspot.com/ > archives: 5/2017 thru present > https://redfish.com/pipermail/friam_redfish.com/ > 1/2003 thru 6/2021 http://friam.383.s1.nabble.com/ >
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