AI chatbot experts are all talking about a new project from OpenAI, which researches AI. The name of it is ChatGPT.
(DALL-E was made by the same group, OpenAI, a non-profit AI research lab in San Francisco that was started in December 2015.)
What is ChatGPT?
Conceptually, ChatGPT AI can be used in the same way as AI art tools, in that the user only needs to enter a small amount of text to get convincing synthetic media, which in this case are paragraphs instead of images. In fact, it can write essays, stories, and even poems that are convincing and often hard to put down. You can also tell ChatGPT to write in certain styles, just like you can tell AI to make pictures.
I asked ChatGPT to tell me about Twitter in the style of Earnest Hemingway, Mark Twain, and a Limerick. The results were very different, and most of them were pretty good, but none of them were quite right.
ChatGPT is very good at figuring out context, which makes its natural language processing (NLP) almost uncanny. To make its dialogue language model, the DeepMind branch of Google used a method called reinforcement learning with human feedback (LM).
It can understand the context and give accurate data from the same source: the knowledge that is part of its language model.
ChatGPT and similar AI conversation engines can be used to teach, do research, and do other things. But it also shows what business communication, marketing, and media will be like in the future.
Think about it: A business blogger can tell ChatGPT AI to write a blog post about a certain topic and use DALL-E to make an image. All of this only takes a few minutes to do. ChatGPT writes better than 98% of other bloggers, and the picture is free to use. With only these two tools, a person could write 20 or 30 blog posts per hour. People who don’t even speak English as their first language could write a perfect article for the public.
ChatGPT is also a much better writing tool than anything else on the market. You could just tell ChatGPT to do it instead of writing a long email. It can write ads, reports, and just about anything else.
Everything can be done right now. Think about what other improvements will make it possible.
Only one thing is wrong.
Some Issues with Chatbots
It seems inevitable that in the future, chatbot-like virtual assistants and media made by AI will be the main way people interact with online information. It’s easy to imagine, for example, augmented reality smart glasses that let you talk to an agent and get information, data, advice, and more in words and pictures.
Ask a question, and get an answer. It sounds better than the way search engines work now, where you ask a question and get thousands of links to look at. When will search engines just tell us what we need to know?
In fact, Google has been working on this feature for a long time. Danny Sullivan, who knows a lot about search engines, calls it the “One True Answer” problem.
Google has been toying with the idea of the “One True Answer” since the beginning when it had an “I’m feeling lucky” button that skipped the list of links to results and took you straight to the top result.
Google has recently added a “featured snippet” box that sits to the right of the search results and shows a short piece of information about the page. The “featured snippet” is a part of a search result that is meant to answer the question.
The risk is that, even though search technology has come a long way, AI that finds information still makes a lot of mistakes. That means Google Search and ChatGPT as well. Even if there are no errors, the results can be incomplete, random, or biased. They can even send back false news and political propaganda.
One disappointing example is that Microsoft recently replaced many of its journalists with AI that chooses and promotes news stories. Since then, MSN, which has nearly 1 billion readers per month, has been republishing fake news, misinformation, and fake stories about mermaids, UFOs, and bigfoot. MSN’s artificial intelligence can’t tell when a story is obviously false, and it doesn’t care if it comes from a questionable source.
It’s tempting to say that Microsoft should use ChatGPT to choose MSN stories since it gave $1 billion to the OpenAI group. But ChatGPT makes mistakes, too. It sometimes spreads complete lies, conspiracy theories, and false information with the same confidence and authority as when it tells the truth.
Still, I have to say that ChatGPT is really great.
How ChatGPT talks about itself
I told ChatGPT, “Write an honest opinion about chatgpt including its advantage and disadvantage,” and this is what it said:
In my opinion, ChatGPT is a powerful tool that offers many advantages for users. One of the biggest advantages of ChatGPT is its ability to generate human-like responses to text input, which can be useful for a wide range of applications, such as customer service, language translation, and more.
Another advantage of ChatGPT is its ability to learn and adapt to new information. With enough data and training, ChatGPT can improve its responses over time, becoming more accurate and nuanced in its language.
However, ChatGPT also has some limitations and disadvantages. For example, because it is a large language model, it can be resource-intensive to use, which may not be practical for all users. Additionally, because it is a machine learning model, it is only as good as the data it is trained on, so its responses may be biased or inaccurate if the training data is not representative of the intended use case.
Overall, ChatGPT is a useful tool that can provide valuable insights and assistance, but it is important to use it carefully and consider its limitations.
AI chatbot experts are all talking about a new project from OpenAI, which researches AI. The name of it is ChatGPT.
(DALL-E was made by the same group, OpenAI, a non-profit AI research lab in San Francisco that was started in December 2015.)
What is ChatGPT?
Conceptually, ChatGPT AI can be used in the same way as AI art tools, in that the user only needs to enter a small amount of text to get convincing synthetic media, which in this case are paragraphs instead of images. In fact, it can write essays, stories, and even poems that are convincing and often hard to put down. You can also tell ChatGPT to write in certain styles, just like you can tell AI to make pictures.
I asked ChatGPT to tell me about Twitter in the style of Earnest Hemingway, Mark Twain, and a Limerick. The results were very different, and most of them were pretty good, but none of them were quite right.
ChatGPT is very good at figuring out context, which makes its natural language processing (NLP) almost uncanny. To make its dialogue language model, the DeepMind branch of Google used a method called reinforcement learning with human feedback (LM).
It can understand the context and give accurate data from the same source: the knowledge that is part of its language model.
ChatGPT and similar AI conversation engines can be used to teach, do research, and do other things. But it also shows what business communication, marketing, and media will be like in the future.
Think about it: A business blogger can tell ChatGPT AI to write a blog post about a certain topic and use DALL-E to make an image. All of this only takes a few minutes to do. ChatGPT writes better than 98% of other bloggers, and the picture is free to use. With only these two tools, a person could write 20 or 30 blog posts per hour. People who don’t even speak English as their first language could write a perfect article for the public.
ChatGPT is also a much better writing tool than anything else on the market. You could just tell ChatGPT to do it instead of writing a long email. It can write ads, reports, and just about anything else.
Everything can be done right now. Think about what other improvements will make it possible.
Only one thing is wrong.
Some Issues with Chatbots
It seems inevitable that in the future, chatbot-like virtual assistants and media made by AI will be the main way people interact with online information. It’s easy to imagine, for example, augmented reality smart glasses that let you talk to an agent and get information, data, advice, and more in words and pictures.
Ask a question, and get an answer. It sounds better than the way search engines work now, where you ask a question and get thousands of links to look at. When will search engines just tell us what we need to know?
In fact, Google has been working on this feature for a long time. Danny Sullivan, who knows a lot about search engines, calls it the “One True Answer” problem.
Google has been toying with the idea of the “One True Answer” since the beginning when it had an “I’m feeling lucky” button that skipped the list of links to results and took you straight to the top result.
Google has recently added a “featured snippet” box that sits to the right of the search results and shows a short piece of information about the page. The “featured snippet” is a part of a search result that is meant to answer the question.
The risk is that, even though search technology has come a long way, AI that finds information still makes a lot of mistakes. That means Google Search and ChatGPT as well. Even if there are no errors, the results can be incomplete, random, or biased. They can even send back false news and political propaganda.
One disappointing example is that Microsoft recently replaced many of its journalists with AI that chooses and promotes news stories. Since then, MSN, which has nearly 1 billion readers per month, has been republishing fake news, misinformation, and fake stories about mermaids, UFOs, and bigfoot. MSN’s artificial intelligence can’t tell when a story is obviously false, and it doesn’t care if it comes from a questionable source.
It’s tempting to say that Microsoft should use ChatGPT to choose MSN stories since it gave $1 billion to the OpenAI group. But ChatGPT makes mistakes, too. It sometimes spreads complete lies, conspiracy theories, and false information with the same confidence and authority as when it tells the truth.
Still, I have to say that ChatGPT is really great.
How ChatGPT talks about itself
I told ChatGPT, “Write an honest opinion about chatgpt including its advantage and disadvantage,” and this is what it said:
In my opinion, ChatGPT is a powerful tool that offers many advantages for users. One of the biggest advantages of ChatGPT is its ability to generate human-like responses to text input, which can be useful for a wide range of applications, such as customer service, language translation, and more.
Another advantage of ChatGPT is its ability to learn and adapt to new information. With enough data and training, ChatGPT can improve its responses over time, becoming more accurate and nuanced in its language.
However, ChatGPT also has some limitations and disadvantages. For example, because it is a large language model, it can be resource-intensive to use, which may not be practical for all users. Additionally, because it is a machine learning model, it is only as good as the data it is trained on, so its responses may be biased or inaccurate if the training data is not representative of the intended use case.
Overall, ChatGPT is a useful tool that can provide valuable insights and assistance, but it is important to use it carefully and consider its limitations.
AI chatbot experts are all talking about a new project from OpenAI, which researches AI. The name of it is ChatGPT.
(DALL-E was made by the same group, OpenAI, a non-profit AI research lab in San Francisco that was started in December 2015.)
What is ChatGPT?
Conceptually, ChatGPT AI can be used in the same way as AI art tools, in that the user only needs to enter a small amount of text to get convincing synthetic media, which in this case are paragraphs instead of images. In fact, it can write essays, stories, and even poems that are convincing and often hard to put down. You can also tell ChatGPT to write in certain styles, just like you can tell AI to make pictures.
I asked ChatGPT to tell me about Twitter in the style of Earnest Hemingway, Mark Twain, and a Limerick. The results were very different, and most of them were pretty good, but none of them were quite right.
ChatGPT is very good at figuring out context, which makes its natural language processing (NLP) almost uncanny. To make its dialogue language model, the DeepMind branch of Google used a method called reinforcement learning with human feedback (LM).
It can understand the context and give accurate data from the same source: the knowledge that is part of its language model.
ChatGPT and similar AI conversation engines can be used to teach, do research, and do other things. But it also shows what business communication, marketing, and media will be like in the future.
Think about it: A business blogger can tell ChatGPT AI to write a blog post about a certain topic and use DALL-E to make an image. All of this only takes a few minutes to do. ChatGPT writes better than 98% of other bloggers, and the picture is free to use. With only these two tools, a person could write 20 or 30 blog posts per hour. People who don’t even speak English as their first language could write a perfect article for the public.
ChatGPT is also a much better writing tool than anything else on the market. You could just tell ChatGPT to do it instead of writing a long email. It can write ads, reports, and just about anything else.
Everything can be done right now. Think about what other improvements will make it possible.
Only one thing is wrong.
Some Issues with Chatbots
It seems inevitable that in the future, chatbot-like virtual assistants and media made by AI will be the main way people interact with online information. It’s easy to imagine, for example, augmented reality smart glasses that let you talk to an agent and get information, data, advice, and more in words and pictures.
Ask a question, and get an answer. It sounds better than the way search engines work now, where you ask a question and get thousands of links to look at. When will search engines just tell us what we need to know?
In fact, Google has been working on this feature for a long time. Danny Sullivan, who knows a lot about search engines, calls it the “One True Answer” problem.
Google has been toying with the idea of the “One True Answer” since the beginning when it had an “I’m feeling lucky” button that skipped the list of links to results and took you straight to the top result.
Google has recently added a “featured snippet” box that sits to the right of the search results and shows a short piece of information about the page. The “featured snippet” is a part of a search result that is meant to answer the question.
The risk is that, even though search technology has come a long way, AI that finds information still makes a lot of mistakes. That means Google Search and ChatGPT as well. Even if there are no errors, the results can be incomplete, random, or biased. They can even send back false news and political propaganda.
One disappointing example is that Microsoft recently replaced many of its journalists with AI that chooses and promotes news stories. Since then, MSN, which has nearly 1 billion readers per month, has been republishing fake news, misinformation, and fake stories about mermaids, UFOs, and bigfoot. MSN’s artificial intelligence can’t tell when a story is obviously false, and it doesn’t care if it comes from a questionable source.
It’s tempting to say that Microsoft should use ChatGPT to choose MSN stories since it gave $1 billion to the OpenAI group. But ChatGPT makes mistakes, too. It sometimes spreads complete lies, conspiracy theories, and false information with the same confidence and authority as when it tells the truth.
Still, I have to say that ChatGPT is really great.
How ChatGPT talks about itself
I told ChatGPT, “Write an honest opinion about chatgpt including its advantage and disadvantage,” and this is what it said:
In my opinion, ChatGPT is a powerful tool that offers many advantages for users. One of the biggest advantages of ChatGPT is its ability to generate human-like responses to text input, which can be useful for a wide range of applications, such as customer service, language translation, and more.
Another advantage of ChatGPT is its ability to learn and adapt to new information. With enough data and training, ChatGPT can improve its responses over time, becoming more accurate and nuanced in its language.
However, ChatGPT also has some limitations and disadvantages. For example, because it is a large language model, it can be resource-intensive to use, which may not be practical for all users. Additionally, because it is a machine learning model, it is only as good as the data it is trained on, so its responses may be biased or inaccurate if the training data is not representative of the intended use case.
Overall, ChatGPT is a useful tool that can provide valuable insights and assistance, but it is important to use it carefully and consider its limitations.
AI chatbot experts are all talking about a new project from OpenAI, which researches AI. The name of it is ChatGPT.
(DALL-E was made by the same group, OpenAI, a non-profit AI research lab in San Francisco that was started in December 2015.)
What is ChatGPT?
Conceptually, ChatGPT AI can be used in the same way as AI art tools, in that the user only needs to enter a small amount of text to get convincing synthetic media, which in this case are paragraphs instead of images. In fact, it can write essays, stories, and even poems that are convincing and often hard to put down. You can also tell ChatGPT to write in certain styles, just like you can tell AI to make pictures.
I asked ChatGPT to tell me about Twitter in the style of Earnest Hemingway, Mark Twain, and a Limerick. The results were very different, and most of them were pretty good, but none of them were quite right.
ChatGPT is very good at figuring out context, which makes its natural language processing (NLP) almost uncanny. To make its dialogue language model, the DeepMind branch of Google used a method called reinforcement learning with human feedback (LM).
It can understand the context and give accurate data from the same source: the knowledge that is part of its language model.
ChatGPT and similar AI conversation engines can be used to teach, do research, and do other things. But it also shows what business communication, marketing, and media will be like in the future.
Think about it: A business blogger can tell ChatGPT AI to write a blog post about a certain topic and use DALL-E to make an image. All of this only takes a few minutes to do. ChatGPT writes better than 98% of other bloggers, and the picture is free to use. With only these two tools, a person could write 20 or 30 blog posts per hour. People who don’t even speak English as their first language could write a perfect article for the public.
ChatGPT is also a much better writing tool than anything else on the market. You could just tell ChatGPT to do it instead of writing a long email. It can write ads, reports, and just about anything else.
Everything can be done right now. Think about what other improvements will make it possible.
Only one thing is wrong.
Some Issues with Chatbots
It seems inevitable that in the future, chatbot-like virtual assistants and media made by AI will be the main way people interact with online information. It’s easy to imagine, for example, augmented reality smart glasses that let you talk to an agent and get information, data, advice, and more in words and pictures.
Ask a question, and get an answer. It sounds better than the way search engines work now, where you ask a question and get thousands of links to look at. When will search engines just tell us what we need to know?
In fact, Google has been working on this feature for a long time. Danny Sullivan, who knows a lot about search engines, calls it the “One True Answer” problem.
Google has been toying with the idea of the “One True Answer” since the beginning when it had an “I’m feeling lucky” button that skipped the list of links to results and took you straight to the top result.
Google has recently added a “featured snippet” box that sits to the right of the search results and shows a short piece of information about the page. The “featured snippet” is a part of a search result that is meant to answer the question.
The risk is that, even though search technology has come a long way, AI that finds information still makes a lot of mistakes. That means Google Search and ChatGPT as well. Even if there are no errors, the results can be incomplete, random, or biased. They can even send back false news and political propaganda.
One disappointing example is that Microsoft recently replaced many of its journalists with AI that chooses and promotes news stories. Since then, MSN, which has nearly 1 billion readers per month, has been republishing fake news, misinformation, and fake stories about mermaids, UFOs, and bigfoot. MSN’s artificial intelligence can’t tell when a story is obviously false, and it doesn’t care if it comes from a questionable source.
It’s tempting to say that Microsoft should use ChatGPT to choose MSN stories since it gave $1 billion to the OpenAI group. But ChatGPT makes mistakes, too. It sometimes spreads complete lies, conspiracy theories, and false information with the same confidence and authority as when it tells the truth.
Still, I have to say that ChatGPT is really great.
How ChatGPT talks about itself
I told ChatGPT, “Write an honest opinion about chatgpt including its advantage and disadvantage,” and this is what it said:
In my opinion, ChatGPT is a powerful tool that offers many advantages for users. One of the biggest advantages of ChatGPT is its ability to generate human-like responses to text input, which can be useful for a wide range of applications, such as customer service, language translation, and more.
Another advantage of ChatGPT is its ability to learn and adapt to new information. With enough data and training, ChatGPT can improve its responses over time, becoming more accurate and nuanced in its language.
However, ChatGPT also has some limitations and disadvantages. For example, because it is a large language model, it can be resource-intensive to use, which may not be practical for all users. Additionally, because it is a machine learning model, it is only as good as the data it is trained on, so its responses may be biased or inaccurate if the training data is not representative of the intended use case.
Overall, ChatGPT is a useful tool that can provide valuable insights and assistance, but it is important to use it carefully and consider its limitations.
