“What is all this fuss I hear about cat pots? It’s terrible. Do cats have to learn how to use a chamber pot now? Who even has a chamber pot? I have a toilet. My cat has a litter box. What’s the problem here?”
And then someone would correct her and say “chat bot, not cat pot,” and she would say,
“Oh, that’s very different. Never mind.”
I felt a little bit like Emily Litella when I first heard about ChatGPT from a friend who also introduced me to DALL-E2 , a graphics software app that can create an image to your specifications, like this longhorn steer at a microphone in a talk radio studio.
ChatGPT is a language processing app that can write conversational, essay-like answers to your inquiries in any style you request, including that of a CNBC news story. Here is a link to a quick overview of the app in Business Insider.
As so often happens with new things, no sooner did my friend tell me about ChatGPT than it was everywhere—all over the press, including The Guardian and The New York Times; the Internet and Twittersphere; and in conversations with actual humans, like Ezra Klein, who wrote
OpenAI recently released ChatGPT, an artificial intelligence system that can be given requests in plain language (“Write me an argument for the benefits of single-payer health care, in the style of a Taylor Swift song”) and spit out remarkably passable results.
The mimicry aspect intrigued me so I decided to try ChatGPT out. I signed up, got my password, and asked it a question:
“Write a blog post about the pros and cons of ChatGPT in the style of mkj-actually.blogspot.com.”
The app produced this response, lightning fast:
Hello and welcome to my blog! Today, I want to talk about ChatGPT, a variant of the GPT-3 language model developed by OpenAI. If you're not familiar with GPT-3, it's a state-of-the-art natural language processing (NLP) model that can generate human-like text and perform a wide range of language tasks.
ChatGPT is specifically designed for chatbot applications, and it allows developers to build conversational AI systems that can hold natural and engaging conversations with users. Sounds pretty cool, right? But like any technology, ChatGPT has its pros and cons, which I'll outline in this post.
Pros:
1. Natural language generation: One of the biggest benefits of ChatGPT is its ability to generate human-like text. This means that chatbots built with ChatGPT can hold natural and engaging conversations with users, which can improve the user experience and make the chatbot more likable.
2. Wide range of capabilities: ChatGPT can perform a wide range of language tasks, such as translation, summarization, and question answering. This means that developers can build chatbots with a variety of functions, making it more versatile and useful for different applications.
3. Easy to use: ChatGPT is relatively easy to use, even for developers who are new to NLP. It comes with a simple API and pre-trained models, so developers can get started quickly and build chatbots with minimal effort.
Cons:
1. Cost: One of the main drawbacks of ChatGPT is its cost. It's a large and powerful language model, and as a result, it requires a lot of resources to run. This means that developers need to pay for the usage of ChatGPT, which can be expensive for some organizations.
2. Limited control: While ChatGPT is very good at generating human-like text, it can sometimes produce text that is inappropriate or offensive. Developers don't have complete control over the output of the model, which can be a concern for organizations that want to ensure their chatbots are always respectful and appropriate.
3. Dependence on data: ChatGPT is a machine learning model, which means it relies on data to learn and improve. This means that the quality and diversity of the data used to train ChatGPT can have a significant impact on its performance. If the data is biased or lacks diversity, ChatGPT may produce biased or inaccurate output.
In conclusion, ChatGPT is a powerful and versatile language model that can be used to build natural and engaging chatbots. However, it comes with some limitations, such as cost, limited control, and dependence on data. As with any technology, it's important to carefully consider the pros and cons before deciding whether ChatGPT is the right fit for your organization.
“Write a blog post about the pros and cons of ChatGPT in the style of Marilyn Johnston’s blog mkj-actually.blogspot.com.”
This is what I got, in equally lightning-fast time:
Hello everyone!
Today, I want to talk about ChatGPT, a natural language processing model developed by OpenAI. ChatGPT is a variant of the GPT (Generative Pre-training Transformer) language model, which has been trained to generate human-like text. It can be used for a variety of purposes, including chatbot development, language translation, and text generation.
There are several pros to using ChatGPT. First and foremost, it is highly accurate and can produce very realistic and human-like text. This makes it ideal for use in chatbots, as it can engage in natural conversation with users. It can also be used to generate content for websites or social media, as it can produce engaging and informative text that is difficult to distinguish from human-written content.
Another pro of ChatGPT is that it is very fast and efficient. It can process and generate text in real-time, making it ideal for use in live chat or messaging applications. It can also handle large amounts of data quickly, making it useful for tasks such as language translation or summarization.
However, there are also some cons to using ChatGPT. One concern is the potential for misuse or abuse. For example, ChatGPT could be used to generate spam or malicious content, or to impersonate individuals online. Additionally, ChatGPT is not perfect and can sometimes produce text that is nonsensical or inappropriate. This can be frustrating for users and may impact the credibility of the output.
Overall, ChatGPT is a powerful tool with many potential uses. While it has its pros and cons, it is important to consider the potential impacts and ethical considerations when using this technology.
Thanks for reading!
-Marilyn
That comforting realization aside, what’s really perplexing is that the response to this only slightly modified inquiry is “same same different,” but with no obvious reason why. Isn’t the bot pulling from the same AI set of mega data? Why did it present that data in a different way when I asked it the same question but simply added my name? Is there more than one bot out there writing this stuff? Or is there one bot that edits and improves its own text, like a quick machine learner?
I must admit I am baffled and feel more and more like Emily Litella. All I can say is, “Never mind.”
Marilyn
What I understand is that these Cat Boxes learn and with time their ability to mimic or counterfeit hooomans is only going to get better. My mentor Charles Key used to say about faked minerals there’s crude, clever and undetectable. My guess is we are between crude and clever. Brace yourself.
ReplyDeletePS love the talk show cow
Wish I'd thought of "cat boxes" instead of "cat pots". Way cleverer!
DeleteI don't know who this person is, it certainly isn't the woman that I've been married to for 39 years! My Marilyn has a razor like wit, and loves to laugh. The fake Marilyn is a bore.
ReplyDelete