[FRIAM] Magic Harry Potter mirrors or more?

Gillian Densmore gil.densmore at gmail.com
Tue Feb 28 18:00:46 EST 2023


On Tue, Feb 28, 2023 at 2:06 PM Jochen Fromm <jofr at 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.densmore at gmail.com>
> Date: 2/28/23 1:47 AM (GMT+01:00)
> To: The Friday Morning Applied Complexity Coffee Group <friam at 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 <jofr at 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.
>>
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