ChatGPT natural language AI query and response

ChatGPT is an AI powered by a very deeply trained model.

https://chat.openai.com/

It is currently free for limited use, you have to sign up with a verified email and verified phone number.

The results people were posting online were so good I had to check it out myself and yes, it is very good in its areas of expertise (most notably, it doesn't know anything about events after 2021).

SIDEBAR: Since it's just text output, it is trivial to fake ChatGPT responses; you should ask the question directly to ChatGPT yourself if you want to be sure it is a real response.  END SIDEBAR

You get detailed natural language responses, it likes responding with lists or first-second-third-conclusion styles.

I expect it will rapidly get overloaded by demand.  In fact it was unavailable for a while during the writing of this blog post.

I was able to ask it to create plans, and about popular culture, and to ask it "Why is chatgpt disturbing to use?"

All responses were basically instantaneous except for the last one, where it thought for quite a while before producing a response.

NOTE that your questions and the responses don't appear to be saved, so you will need to copy/paste or screenshot them if you want to keep them (most modern operating systems will let you extract the text from a screenshot).

It's rare that something from technology surprises me, but this surprises me.  I didn't think we were anywhere clear to this level of natural language response.

Two months ago there was a discussion in the SciFoo mailing list about students using AI to write their school papers and I was incredibly sceptical, but I can see that ChatGPT (and the underlying technology, which is available through APIs) could quite easily write papers on common topics.

It can also write computer code, or help you debug your code.

Q: write a short blog post about the capabilities of chatgpt

ChatGPT Answer:

ChatGPT is a state-of-the-art natural language processing (NLP) model developed by OpenAI. It is capable of generating human-like text based on a given prompt, making it a powerful tool for tasks such as language translation, text summarization, and conversation modeling.

One of the unique features of ChatGPT is its ability to incorporate context from previous interactions into its responses, allowing it to maintain coherence and consistency in longer conversations. This makes it especially useful for applications such as chatbots and virtual assistants, where maintaining a natural and fluid conversation is key.

In addition to its conversational capabilities, ChatGPT is also able to generate text in a variety of styles and tones, making it versatile and adaptable to a wide range of applications. It can produce formal, professional language for business documents, or more casual and informal language for social media posts and chat conversations.

Overall, ChatGPT is a powerful and highly capable NLP model that has many potential applications in the fields of language processing and artificial intelligence. Its ability to generate human-like text and maintain context in conversations make it a valuable tool for developers and researchers working on the cutting edge of NLP technology.

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Q: summarize key challenges for open science in canada

ChatGPT Answer:

One of the key challenges facing open science in Canada is the lack of consistent policies and frameworks across different research institutions and funding bodies. This can make it difficult for researchers to know what is expected of them in terms of sharing their data and research outputs, and can hinder the dissemination and uptake of open science practices.

Another challenge is the lack of infrastructure and support for open science. Many researchers may not have access to the necessary tools and resources to enable them to effectively share and collaborate on their work, which can limit the uptake of open science practices.

Furthermore, there may be cultural barriers to the adoption of open science, such as a lack of awareness of the benefits of open science or a lack of incentives for researchers to engage in open science activities.

Overall, addressing these challenges will require a concerted effort from research institutions, funding bodies, and policymakers to develop and implement consistent policies and provide the necessary infrastructure and support to enable the adoption of open science practices in Canada.

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Q: write code for plotting sin(x) in python

ChatGPT Answer:

To plot the function sin(x) in Python, you can use the matplotlib library. Here is an example of how to do it:

import matplotlib.pyplot as plt
import numpy as np

# Create an array of x values from 0 to 4π
x = np.linspace(0, 4*np.pi, 100)

# Compute the y values for sin(x)
y = np.sin(x)

# Plot the function
plt.plot(x, y)

# Add labels and title
plt.xlabel('x')
plt.ylabel('sin(x)')
plt.title('Plot of sin(x)')

# Show the plot
plt.show()

This code will create a plot of the sin(x) function from 0 to 4π. You can adjust the range of x values and the number of points in the plot by modifying the values passed to the np.linspace and plt.plot functions. You can also customize the appearance of the plot by using various options in the matplotlib library.

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Q: Why is chatgpt disturbing to use?

ChatGPT Answer:

There are a few reasons why someone might find chatgpt (or any large language model)
disturbing to use.

First, chatqpt is a machine learning model that has been trained on a vast amount of
human-generated text, so it is able to generate responses that are often indistinguishable
from those of a human. This can make it difficult for users to know whether they are
interacting with a machine or a human, which can be unsettling for some people.

Second, chatgpt is designed to generate responses based on the input it receives, so it can
sometimes produce responses that are unexpected or inappropriate. This can be
disorienting for users and can make them feel like they are losing control of the
conversation.

Third, chatgpt is a large language model, which means it has been trained to generate
responses that are coherent, fluent, and relevant to the input it receives. This can make it
difficult for users to tell whether they are interacting with a machine that is following pre-
programmed rules, or a human who is thinking and speaking spontaneously.

Overall, chatgpt and other large language models can be disturbing to use because they
blur the line between human and machine, can produce unexpected or inappropriate
responses, and can make it difficult for users to know whether they are interacting with a
machine or a human.