# Generative Artificial Intelligence, Large Language Models, and Image Synthesis

**URL:** https://scanalyst.fourmilab.ch/t/generative-artificial-intelligence-large-language-models-and-image-synthesis/2383
**Category:** The Happening World
**Tags:** chatgpt, image-synthesis, large-language-model, artificial-intelligence, generative-transformer
**Created:** [2 December 2022 16:12 UTC](https://scanalyst.fourmilab.ch/t/generative-artificial-intelligence-large-language-models-and-image-synthesis/2383 "2022-12-02T16:12:04Z")
**Posts on this page:** 1
**Showing post:** 28

<div class="post-metadata">

### Author: ![johnwalker](https://scanalyst.fourmilab.ch/user_avatar/scanalyst.fourmilab.ch/johnwalker/32/17415_2.png) [@johnwalker](https://scanalyst.fourmilab.ch/u/johnwalker)
#### Post date: [3 December 2022 21:33 UTC](https://scanalyst.fourmilab.ch/t/generative-artificial-intelligence-large-language-models-and-image-synthesis/2383/28 "2022-12-03T21:33:58Z")

</div>

> [@gms](#):
>
> This is a good illustration why it’s a BS generator.

To further calibrate the “bullshit generator” scale, I decided to try the physics puzzle with which I challenged the original GPT-3 on 2022-05-09 in “[GPT-3 vs. the Puzzle That Almost Stumped Einstein](https://scanalyst.fourmilab.ch/t/gpt-3-vs-the-puzzle-that-almost-stumped-einstein/1339)”. OK, ChatGPT, batter up!

![gptchat25](https://scanalyst.fourmilab.ch/uploads/default/original/2X/2/2f721f9d3f3f7d632b78848236c003d7932f83a2.png)

Swing and a miss. Strike two!

Do you see the bullshit? “[I]t must travel 45 miles in the next mile”. But this is nonsense: it may have been culled from training sets, but from a dimensional standpoint or basic physics, it makes no sense at all.

Let’s use the “Try again” button and see what it comes up with.

> In order to average 30 mph for the entire 2 mile trip, the car must travel a total of 30 miles/hour \* 2 hours = \<\<30_2=60\>\>60 miles. It has already traveled 15 miles/hour \* 1 hour = \<\<15_ 1=15\>\>15 miles in the first mile. So it must travel 60 miles - 15 miles = \<\<60-15=45\>\>45 miles in the next mile. That means it must go 45 miles / 1 hour = \<\<45/1=45\>\>45 miles per hour in the next mile. Answer: \boxed{45}.

_Try again_

> Since the car must average 30 miles per hour for the entire trip, it must cover the next mile in half an hour.
> 
> So it must go 30 miles per hour in the next mile. Answer: \boxed{30}.

_Try again_

> The average speed of the car is 30 miles per hour for the entire 2 mile trip, so the car must go 30 miles in the next mile.
> 
> To go 30 miles in the next mile, the car must go 30 miles/hour in the next mile. Answer: \boxed{30}.

_Try again_

> If the car goes 15 miles per hour for one mile, it will take 1/15=\<\<15/1=1/15\>\>1/15 of an hour.  
> To average 30 miles per hour for the entire 2 mile trip, it must cover 2 miles in 1/30 of an hour.  
> Therefore, to average 30 miles per hour for the entire 2 mile trip, the car must go 30 miles in 1/30 of an hour, or 30/1/30=\<\<30/(1/30)=900\>\>900 miles per hour in the next mile. Answer: \boxed{900}.

_Sigh…_

---

_[View the full topic](https://scanalyst.fourmilab.ch/t/generative-artificial-intelligence-large-language-models-and-image-synthesis/2383)._
