ChatGPT Results: Testing Special Relativity

In summary, ChatGPT is a chatbot that is claimed to be able to understand natural language, but is apparently flawed in its ability to do so. It is not currently able to replace human teachers in the field of humanities, and may even enhance the threat of automation taking jobs in the near future.
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epovo
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Hi guys,
I have heard a lot of claims about ChatGPT and how it is going to put a lot of people out of work. I have a friend who is a teacher of humanities and he is fearful of losing his job in the long term. People seem to be in awe at the thing and think it understand what is saying. So I decided to give it a go with a simple problem in Special Relativity and see what it comes out. It's funny because of the contrast between the authoritative tone it uses and the load of crap it produces. Judge for yourselves!

Q: An observer A sees a second observer B move along the x-axis at 90% of the speed of light. B sees an object O move along the y-axis at 80% of the speed of light. What is the speed and direction of O as measured by A?

A: To find the speed and direction of object O as measured by observer A, we can use the relativistic velocity addition formula:

v' = (v + u) / (1 + vu/c^2)

where v is the velocity of observer B relative to observer A along the x-axis (0.9c), u is the velocity of object O relative to observer B along the y-axis (0.8c), and c is the speed of light.

Substituting these values into the formula, we get:

v' = (0.9c + 0.8c) / (1 + 0.9c * 0.8c/c^2) = 1.64c / 1.72 = 0.9535c

Therefore, object O is moving at a speed of 0.9535 times the speed of light as measured by observer A. To determine the direction of O's motion as measured by observer A, we can use the Lorentz transformation equations as before:

x' = γ(x - vt)
y' = y
z' = γ(z - vt)
t' = γ(t - vx/c^2)

Since observer B sees object O moving only along the y-axis, we can set x = z = 0 in the transformation equations. Solving for y' and t', we get:

y' = y
t' = γ(t - vx/c^2)

Therefore, object O is moving perpendicular to the x-axis in observer A's frame of reference, i.e., along the y-axis. The negative sign in the previous answer indicates that O is moving in the opposite direction to B's motion along the x-axis, so we can conclude that object O is moving in the negative y-direction as measured by observer A.
 
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It's definitely not "there" yet for many cases, but imagine 5 years from now. Note that Wolfram Alpha just released an early access plugin for ChatGPT. That will immediately level up the calculation power.
 
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I think this demonstrates a complete lack of understanding, which is not surprising being, as it is, a language model. If I am not mistaken the Wolfram Alpha plugin intends to make life easier for the user when expressing the problem that they want Wolfram Alpha to solve, not to enhance the problem-solving capabilities of the tool.
 
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The threat at least near term of AI taking jobs is not that AI as an independent agent will do it but rather that those that can use AI effectively will. In any event, AI will reduce the number of jobs currently available.
 
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I agree that the threat is real for certain jobs
 
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gleem said:
AI will reduce the number of jobs currently available.
I had to read that a few times to be sure I agreed, and it depends on what you mean by "currently available". Yes, it will reduce the number of workers needed to accomplish certain tasks today, as automation always has. So when looking from today there will be fewer "current" workers needed. But of course they won't be unemployed, they will just get different jobs or be more productive, the same effect automation has always had.
epovo said:
Hi guys,
I have heard a lot of claims about ChatGPT and how it is going to put a lot of people out of work. I have a friend who is a teacher of humanities and he is fearful of losing his job in the long term.
I don't see what one thing has to do with the other. The job of a humanities teacher is to teach other humans art, literature, etc. and judge their understanding (while the students interact with them and other human students). That job inherently has to be done by a human teacher, in a classroom, with a group of human students.

You can't replace that with a chat-bot. At the very least you need a true human-replacement sentient AI.

It's similar to one of the the reasons why movies still use human actors. It matters to audiences that you're watching Sigourney Weaver and not just a cartoon that looks a little like her (and yes, the simulations arent quite ready yet either).

That's the flaw in self-learning we constantly point out in the academic forums, and so far nothing I've seen implies a change on the horizon.
 
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FAQ: ChatGPT Results: Testing Special Relativity

What is the main purpose of testing special relativity using ChatGPT?

The main purpose of testing special relativity using ChatGPT is to assess the AI's understanding and ability to explain complex scientific concepts accurately. This includes verifying if ChatGPT can provide correct and coherent explanations, solve related problems, and discuss the implications of special relativity in various contexts.

How does ChatGPT explain the concept of time dilation in special relativity?

ChatGPT explains time dilation as a phenomenon predicted by Einstein's theory of special relativity, where time passes at different rates for observers in different inertial frames of motion. Specifically, an observer moving at a high velocity relative to another will experience time more slowly. This is mathematically described by the Lorentz factor, which shows that as an object's speed approaches the speed of light, time dilation becomes more pronounced.

Can ChatGPT solve mathematical problems related to special relativity?

Yes, ChatGPT can solve mathematical problems related to special relativity to some extent. It can provide step-by-step solutions to problems involving Lorentz transformations, time dilation, length contraction, and relativistic energy and momentum. However, its ability is limited to the complexity of the problems and the clarity of the input it receives.

What are the limitations of using ChatGPT to test special relativity concepts?

The limitations of using ChatGPT to test special relativity concepts include its reliance on the data it was trained on, which may not cover every possible scenario or the latest research developments. Additionally, ChatGPT might sometimes produce errors or oversimplifications in its explanations and solutions. It also lacks the ability to perform experimental verification, which is a crucial aspect of testing physical theories.

How accurate are ChatGPT's responses when discussing the implications of special relativity?

ChatGPT's responses when discussing the implications of special relativity are generally accurate but should be verified by a human expert. The AI can provide a solid foundational understanding and discuss well-established implications, such as the relationship between mass and energy (E=mc²) and the effects of relativistic speeds on mass and time. However, for more nuanced or cutting-edge topics, expert validation is recommended.

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