This john oliver piece might either amus, and or mortify you. https://www.youtube.com/watch?v=Sqa8Zo2XWc4&ab_channel=LastWeekTonight
On Tue, Feb 28, 2023 at 4:00 PM Gillian Densmore <gil.densm...@gmail.com> wrote: > > > On Tue, Feb 28, 2023 at 2:06 PM Jochen Fromm <j...@cas-group.net> wrote: > >> The "Transformer" movies are like the "Resident evil" movies based on a >> similar idea: we take a simple, almost primitive story such as "cars that >> can transform into alien robots" or "a bloody fight against a zombie >> apocalypse" and throw lots of money at it. >> >> But maybe deep learning and large language models are the same: we take a >> simple idea (gradient descent learning for deep neural networks) and throw >> lots of money (and data) at it. In this sense transformer is a perfect name >> of the architecture, isn't it? >> >> -J. >> 😁😍🖖👍🤔 >> >> -------- Original message -------- >> From: Gillian Densmore <gil.densm...@gmail.com> >> Date: 2/28/23 1:47 AM (GMT+01:00) >> To: The Friday Morning Applied Complexity Coffee Group <friam@redfish.com> >> >> Subject: Re: [FRIAM] Magic Harry Potter mirrors or more? >> >> Transformer architecture works because it's cybertronian technology. And >> is so advanced as to be almost magic. >> >> On Mon, Feb 27, 2023 at 3:51 PM Jochen Fromm <j...@cas-group.net> wrote: >> >>> Terrence Sejnowski argues that the new AI super chatbots are like a >>> magic Harry Potter mirror that tells the user what he wants to hear: "When >>> people discover the mirror, it seems to provide truth and understanding. >>> But it does not. It shows the deep-seated desires of anyone who stares into >>> it". ChatGPT, LaMDA, LLaMA and other large language models would "take in >>> our words and reflect them back to us". >>> >>> https://www.nytimes.com/2023/02/26/technology/ai-chatbot-information-truth.html >>> >>> It is true that large language models have absorbed unimaginably huge >>> amount of texts, but what if our prefrontal cortex in the brain works in >>> the same way? >>> >>> https://direct.mit.edu/neco/article/35/3/309/114731/Large-Language-Models-and-the-Reverse-Turing-Test >>> >>> I think it is possible that the "transformer" architecture is so >>> successful because it is - like the cortical columns in the neocortex - a >>> modular solution for the problem what comes next in an unpredictable world >>> https://en.wikipedia.org/wiki/Cortical_column >>> >>> -J. >>> >>> -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. . >>> 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/ >>> >> -. --- - / ...- .- .-.. .. -.. / -- --- .-. ... . / -.-. --- -.. . >> 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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