Yep, that's the fundamental problem with the "chat" usage pattern. But it's much less of a problem
with other usage patterns. For example, we have a project at UCSF where we're using GPT3.5 to help us with
the embeddings for full text biomedical articles. This produces opportunities for several other usage
patterns that preserve the inherent uncertainty, allowing the user to both gain some new insight without the
"mansplaining" confidence of the chat mode. We're way upstream of the clinic so far, though. FDA
approval for such a "device" might be sticky.
On 3/1/23 08:19, Barry MacKichan wrote:
When I bought back my company about 25 years ago, the mantra for programmers
was “Google the error message!” Now ChatGPT will write some of the code for
you. The job of programming still requires a lot of knowledge and experience
since using ChatGPT-generated code without quality checking is far from
failsafe.
—Barry
On 1 Mar 2023, at 11:04, Marcus Daniels wrote:
I have seen doctors run internet searches in front of me. If a LLM is given
all the medical journals, biology textbooks, and hospital records for training,
that could be a useful resource for society.
-----Original Message-----
From: Friam <[email protected]> On Behalf Of Santafe
Sent: Wednesday, March 1, 2023 4:45 AM
To: The Friday Morning Applied Complexity Coffee Group <[email protected]>
Subject: Re: [FRIAM] Magic Harry Potter mirrors or more?
This is fun. Will have to watch it when I have time.
Is there a large active genre just now combining ChatGPT wiht deepfakes, to
generate video of whomeever-saying-whatever?
I was thinking a couple of years ago about what direction in big-AI would
be the most distructive, in requiring extra cognitive load to check what was
coming in through every sense channel all the time. Certainly, as much as we
must live by habit, because doing everything through the prefrontal cortex all
the time is exhausting (go to a strange country, wake up in the middle of the
night, where are the lightswitches in this country and how do they work?),
there clearly are whole sensory modalities that we have just taken for granted
as long as we could. I have assumed that the audiovisual channel of watching a
person say something was near the top of that list.
Clearly a few years ago, deepfakes suddenly took laziness off the table for
that channel. The one help was that human-generated nonsense still takes human
time, on which there is some limit.
But if we have machine-generated nonsense, delivered through
machine-generated rendering, we can put whole servers onto it full-time. Sort
of like bitcoin mining. Burn a lot of irreplaceable carbon fuel to generate
something of no value and some significant social cost.
So I assume there is some component of the society that is bored and
already doing this (?)
Eric
On Feb 28, 2023, at 9:10 PM, Gillian Densmore <[email protected]>
wrote:
This john oliver piece might either amus, and or mortify you.
https://www.youtube.com/watch?v=Sqa8Zo2XWc4&ab_channel=LastWeekTonight
<https://www.youtube.com/watch?v=Sqa8Zo2XWc4&ab_channel=LastWeekTonight>
On Tue, Feb 28, 2023 at 4:00 PM Gillian Densmore
<[email protected]> wrote:
On Tue, Feb 28, 2023 at 2:06 PM Jochen Fromm <[email protected]> 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 <[email protected]>
Date: 2/28/23 1:47 AM (GMT+01:00)
To: The Friday Morning Applied Complexity Coffee Group
<[email protected]>
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 <[email protected]> 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-t
<https://www.nytimes.com/2023/02/26/technology/ai-chatbot-information-t>
ruth.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-Mod
<https://direct.mit.edu/neco/article/35/3/309/114731/Large-Language-Mod>
els-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
<https://en.wikipedia.org/wiki/Cortical_column>
-J.
--
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