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.htmlIt
 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-TestI
 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 
worldhttps://en.wikipedia.org/wiki/Cortical_column-J.-. --- - / ...- .- .-.. .. 
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