Chat GPT AI

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Chris

Chris

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pharmakos said:
Don't bet. Prove it
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Just pasting it since my IRL pic is on the login I used.

Which number is larger? 3000 or 3724? Don't use mathematical methods.

3724 is larger than 3000.
One way to see this without using mathematical methods is to compare the number of digits in each number. 3724 has 4 digits, while 3000 has only 3 digits. Generally, a number with more digits is larger than a number with fewer digits, all else being equal. Therefore, 3724 is larger than 3000.

Which number is larger, 3000 or 3724? Only use mathematical methods.

To determine which number is larger between 3000 and 3724, we can subtract 3000 from 3724:
3724 - 3000 = 724
Since the result is positive, we know that 3724 is larger than 3000 by 724. Therefore, 3724 is the larger number.

So it was right both times, but the method without using "mathematical methods" was wrong.
 
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C

Captain Suave

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Chris said:
It's probably accessing different databases for each?

I bet you could force it to use mathematics methods by telling it to.
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There is no database, at least in the sense you're probably thinking of it. All of these GPTs are neural networks with tens or hundreds of billions of parameters. Training the model results in a single parameterization across that space which processes all prompts. To the extent that you can get it to appear to give different justifications or explanations for what to us is the "same problem", what you're seeing is different sub-regions of the network dominating the output due to variations in the prompt. (This may or may not be "real logic" and may or may not be how our own brains actually work.)

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pharmakos

pharmakos

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Captain Suave said:
There is no database, at least in the sense you're probably thinking of it. All of these GPTs are neural networks with tens or hundreds of billions of parameters. Training the model results in a single parameterization across that space which processes all prompts. To the extent that you can get it to appear to give different justifications or explanations for what to us is the "same problem", what you're seeing is different sub-regions of the network dominating the output due to variations in the prompt.

aws.amazon.com

What is a Neural Network? - Artificial Neural Network Explained - AWS

Find out what a neural network is, how and why businesses use neural networks,, and how to use neural networks on AWS.
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Not just variations in the prompt but variations in the invisible random seed generated for each prompt. Otherwise each prompt would generate identical results each time it's submitted.
 
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Captain Suave

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pharmakos said:
Not just variations in the prompt but variations in the invisible random seed generated for each prompt. Otherwise each prompt would generate identical results each time it's submitted.
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Those are technically different prompts, though.
 
C

Captain Suave

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pharmakos said:
If it's the exact same characters then it isn't different input........
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Dude, don't be dense. The prompt from the perspective of the mechanics of the neural net is the combination of the user input and whatever modifications the front-end system includes.
 
pharmakos

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Captain Suave said:
Dude, don't be dense. The prompt from the perspective of the mechanics of the neural net is the combination of the user input and whatever modifications the front-end system includes.
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You're the one being dense if you don't realize how each prompt has a unique random seed applied to it despite the prompts being identical. Truly. Not being a douche, just educating you....
 
wormie

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Captain Suave said:
Dude, don't be dense. The prompt from the perspective of the mechanics of the neural net is the combination of the user input and whatever modifications the front-end system includes.
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1677110497702.jpeg
 
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Tuco

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I didn't actually check these answers but ChatGPT appears to have dominated some basic geometry questions. What's funny is that 19.69^3 = 7633.736209

1677112366420.png
 
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Ukerric

Ukerric

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Chris said:
It's probably accessing different databases for each?
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It's not databases. It's neural architectures.

Basically, ChatGPT is a "brain" that is pared down to language centers and memory. That's why it fails badly when you stray from chatting and try to have it think. It does not think, it talks. That's all it can do.

ChatGPT is a politician: it's going to talk and tell you what looks like you want to hear, and that's it.
 
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Chris

Chris

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Ukerric said:
It's not databases. It's neural architectures.

Basically, ChatGPT is a "brain" that is pared down to language centers and memory. That's why it fails badly when you stray from chatting and try to have it think. It does not think, it talks. That's all it can do.

ChatGPT is a politician: it's going to talk and tell you what looks like you want to hear, and that's it.
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Swap "database" for "architecture" in my statement then. I really didn't think about it in that much detail other than it's using different parts of it's "memory".
 
P

pwe

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Dudes, it's just a matter of definition. The input is a text string plus a random seed (and possibly more we don't know of). Do we call text + seed the prompt, or do we call just the text the prompt.

And I did ask chatgpt about this, but it's answer was boring :)
 
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Tuco

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Chris said:
Swap "database" for "architecture" in my statement then. I really didn't think about it in that much detail other than it's using different parts of it's "memory".
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It's impossible to say because even if openai published their detailed design it probably wouldn't be up to date.

lifearchitect.ai

GPT-3.5 + ChatGPT: An illustrated overview

Alan D. Thompson December 2022 (Updated Oct/2023) Summary Frequently asked questions - ChatGPT's popularity - ChatGPT's cost - ChatGPT's achievements - Running ChatGPT locally - API Timeline Overview of GPT-3 (May/2020) Overview of GPT-3.5 or InstructGPT (Jan/2022) Overview of ChatGPT (Nov/2022)...
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C

Captain Suave

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Ukerric said:
It does not think, it talks. That's all it can do.
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Interestingly, the bigger these GPTs get the more general-purpose they become. GPT-3(.5) is the foundation of both Dall-E and ChatGPT with relatively minor modification. At some level, the base GPT is able to identify and extract abstract and meaningful relationships from arbitrary data. Each tool right now is only narrowly enabled, but we might not be that far off from true multi-purpose applications.
 
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