The prevalence of ChatGPT and similar AI tools has prompted people to find ways to use it, whether for professional, educational or personal purposes.
Over time we have discovered several ways to use ChatGPT including: writing emails, blog posts, long articles, stories, summarizing text, lectures and podcasts, translating text, explaining complex topics, writing code and debugging and more.
But have you ever wondered what ChatGPT can't do and why sometimes the bot stops to finish chatting with you and shows you a network error?
Here are the most notable things that ChatGPT can't do and some of the questions it doesn't answer:
1- He cannot respond to everything that happens after 2021:
The ChatGPT bot was only trained on a large amount of text data up to 2021, which means it cannot access information or events that occurred after this date, as it cannot access current events, news, or updated data that occurred since the 2021 cut-off date. incorporation.
So you will find that all of his answers are based on available data up to 2021 and he cannot answer anything that happened after that which makes his answers outdated.
2- It cannot predict the future outcome of sporting events or political elections:
If you ask ChatGPT: Please explain why you can't predict sporting events or political elections even though you have enough historical data to build an effective model? His answer is as follows:
As an AI-based language model, I can process and analyze large amounts of data, including: historical data about sporting events and political elections. However, it is not always easy to make accurate predictions about these types of events. Historical data can be used to train machine learning models to identify patterns and correlations, but it cannot account for unexpected events, changing conditions, or new variables that might affect the results.
In addition, people make decisions and can change their behavior based on many factors, which makes it difficult to predict the outcome of an event with absolute certainty. In a sporting event, team dynamics, injuries, and even weather conditions can all play a role in determining the outcome.
In politics, public opinion, media coverage, and changing circumstances influence the outcome of elections. So AI models can be used to make predictions, but they are only as good as the data they have been trained on and cannot account for all of the variables and nuances involved in these types of events.
3- It will not currently have anything to do with web searches:
The ChatGPT bot is still limited by the data it has been trained on, and since it has only been trained on pre-2021 data, it does not have access to the latest data so it can search the web but only for published data up to 2021, and acts as a source of information. It does not have access to current or real-time data.
Therefore, we cannot consider ChatGPT as a search engine because the company (OpenAI) does not represent it as such, but rather presents it as an AI-based chatbot that uses natural language processing to understand and respond to user input. Hence, it generates scripts based on big data that has been pre-trained to predict speech patterns.
If someone asks ChatGPT: Please explain why you can't search for something on the web? His answer is as follows:
“I am an AI-based language model that can search and process information on the Internet. However, my answers are only based on the information I have received, so I use the Internet as a source of information and do not have access to any current or real-time data.
Additionally, I do not have the ability to independently verify the accuracy of any information I find online. As such, my response is limited to information I've trained on, which may not always be the most current or accurate information available on the web.
In addition, it is important to note that the transmission of information from the Internet may violate copyright or intellectual property laws. It is important to me to respect the intellectual property of others and to avoid sharing information that is not in the public domain or that I do not have permission to share.
Therefore, I may use the Internet to provide context or other information to support my answer, but I will endeavor to provide information that is publicly available while respecting the intellectual property rights of others.
Note: ChatGPT's previous answer was about respecting the intellectual property rights of its source, but that wasn't the case because it was just giving you the information without any attribution whatsoever!
4- He cannot write complex code:
ChatGPT bot caused a stir when it was first introduced because it can detect and fix errors in code and can build relatively simple programs in different programming languages, but if you let it write complex code, such as writing code for high-end games or business applications, it will admit with his weaknesses and tells you that the task at hand is beyond his capabilities.
5- The inability to respond with a voice:
ChatGPT is unable to understand the intricacies of language and human conversations as it is trained to predict text, it can generate words based on specific inputs but it does not have the ability to understand the meaning behind these words, which means the response it generates is not, perhaps superficial, lacking depth and projection.
So ChatGPT bot only gives you text answers, you can't talk to it, it doesn't give you voice answers because these functions require a lot of processing power, so the cost of building a bot is higher.
It should be noted that Google is training its potential bot (Bard) on conversations rather than text as it can understand the context of conversations, allowing it to keep up with conversations and thus hopefully outperform ChatGPT in many applications.
6- He will not always give you the exact answer:
ChatGPT's responses are based on the data and information it has been trained on, which cannot always guarantee the accuracy of its responses, because the data and information it has been trained on is not current and may not be complete. It also generates its answers using complex algorithms and machine learning models that don't always produce accurate or relevant results.
In addition, there may be nuances or complexities in a particular topic that the model cannot handle.
7. He can't give you long, deep answers:
If you ask the ChatGPT bot to give a long or drawn-out answer to a question or request, it will stop working and you will see a network error.
ChatGPT answers are usually between 500 and 700 words long, but if you ask him a question or request that requires a few thousand words, he will ignore the request and give you what he wants, or halfway through the answer, he doesn't do any more.
If someone asks ChatGPT: Please explain why it crashes sometimes and stops working when replying? His answer is as follows:
My performance depends on various factors such as: b: the quality and structure of user input, the complexity of the problem or task and the resources available to my system. Sometimes I might get stuck in the middle of an answer due to technical issues or software bugs, eg b. Memory allocation issues, software bugs, or other issues affecting my performance. Also, I may have difficulty understanding the user's intent or the context of the request, which can lead to incorrect or incomplete responses.
In addition, my performance as a machine learning system also depends on the quality and quantity of the data I'm trained on. This can lead to inaccurate or incomplete answers to certain types of queries when the data used to train the model is limited or biased. When I'm faced with a question outside of my training data, it can be difficult for me to provide accurate and relevant answers.
What requests does ChatGPT not respond to?
In addition to the request types mentioned above, there are also some request types that ChatGPT cannot respond to, including:
- Issues that encourage hate speech or discrimination.
- Questions about illegal activities or seeking illegal advice.
- Issues that encourage violence or harm you or others.
- Issues that violate privacy or violate the rights of others.
- Questions designed to harass, threaten or intimidate.
- Questions that contain vulgar or vulgar language.
- Topics that support or promote illegal drugs or substances.
- Spam or irrelevant questions.
- Questions that contain confidential or private information.
- Post questions to get financial or investment advice.
- Issues that violate our Terms of Service or our Community Guidelines.
- Useless or incomprehensible questions.
- Offensive or personally offensive questions.
- Offensive or annoying questions.
- Questions intended to deceive or mislead.
- Questions intended to discredit or harm an individual's reputation.
- Issues that encourage conspiracy theories or disinformation.
What do these limits mean for the future of generative AI?
It is clear that artificial intelligence trained on datasets by 2021 will be quickly forgotten if it does not evolve further because its answers will become outdated and cannot satisfy the curiosity of users who are always looking for something new.
Imagine with me, if ChatGPT was trained with a dataset limited to 2019 instead of 2021, it would definitely have no idea what changes and developments we've seen in recent times and what the company has become since 2020. Big storm, which means we need the new crown to change the world .
For generative AI to remain relevant, it must be trained further. One obvious way to do this is to unlock the entire network and allow its information to refresh.