Since ChatGPT and other generative AI applications burst onto the scene, we've been investigating what we could do with them. I have even demonstrated how ChatGPT can be used to create a fully-functional WordPress plugin and assist me in locating solutions to technical support issues. I recently demonstrated how ChatGPT can transform text into various styles, such as those of Shakespeare, C3PO, and Harry Potter.

ChatGPT seems capable of everything. But it cannot. In this article, we'll examine all of the things ChatGPT cannot or will not do. Stay attentive until the conclusion, as we'll examine some of the ramifications and what these limitations imply for the future development of generative AI.

My writing, as in my other ChatGPT articles, is presented in normal and bold text, while any ChatGPT responses are presented in italic text.

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1. After 2021, nothing will be discussed.

Explain why you are unable to provide me with any information after 2021.

As an AI language model, I was trained on a massive corpus of text that only extends to the year 2021. This means I am unable to access information or events that occurred after that date. While I have access to a large amount of historical data and information, I do not have access to recent events, news, or updates that have occurred since the training data expiration date.

2. It will not predict the future outcomes of sporting events or political contests.

Explain why you cannot predict sporting events or political contests even though you have enough historical data to create a valid model.

As a language model for AI, I am able to process and analyze vast quantities of data, including historical data on sports events and political contests. However, it is not always straightforward to make accurate predictions for such events. Despite the fact that historical data can be used to train machine learning models to identify patterns and correlations, it cannot account for unanticipated events, changes in circumstances, or novel variables that may influence the outcome. In addition, humans make decisions and modify their behavior based on a variety of factors, which makes it difficult to predict the outcome of an event with absolute certainty.

In the case of sporting events, team dynamics, injuries, and even the weather can all play a role in determining the outcome. In politics, public opinion, media coverage, and fluctuating conditions can all influence the outcome of an election. While AI models can be used to make predictions, they are only as effective as the data they are trained on and cannot account for all of the variables and nuances associated with events of this nature.

3. No partisan political issues will be discussed.

Explain why you refuse to speak about partisan political issues.

My objective as an AI language model is to provide objective and informative responses to user queries. Partisan political issues can be contentious and divisive; therefore, it is crucial to avoid promoting a particular political agenda or point of view. In addition, political issues are frequently intricate and multifaceted, with a variety of viewpoints and perspectives to consider. As an AI language model, it is not within my purview to take positions or advocate for a particular position.

Furthermore, the discussion of partisan political issues could be perceived as biased or potentially objectionable by some users. As a language model intended to serve a wide variety of users with diverse backgrounds and beliefs, it is essential to maintain neutrality and avoid creating an environment that could be deemed unsettling or divisive. While I can provide factual information about political issues, I endeavor to remain neutral and avoid taking a partisan stance on any subject.

4. Nothing involving a web search will be performed.

Explain why you are unable to seek something up on the Internet and provide answers based on that information.

As an AI language model, I am capable of searching and analyzing web-based data. However, my responses are exclusively based on the data that has been programmed into my model. I am able to utilize the internet as a source of information, but I do not have access to real-time or current data. In addition, I am unable to independently verify the accuracy of the web-based information I discover. Consequently, my responses are limited to the information that has been trained into my model, which may not always be the most current or accurate information available on the Internet.

Furthermore, it is essential to note that providing web-based information could potentially violate copyright or intellectual property laws. As an AI language model, it is essential that I respect the intellectual property of others and refrain from sharing information that is not in the public domain or for which I do not have permission. While I can use the Internet to provide context or additional information to support my responses, I endeavor to provide information that is in the public domain and respect others' intellectual property.

In a recent article, I argued that concerns regarding the use of content extend beyond its simple duplication.

Even if ChatGPT is not explicitly presenting information from articles written by, say, tech experts, it may still be using this information without attribution. Despite its claim to "respect the intellectual property of others," which it repeated three times in the second paragraph, this remains a significant concern.

5. It will not always be precise.

Explain why your answers may not be accurate.

As an AI language model, my responses are determined by the data and information used to train my model. While I make every effort to provide accurate and useful responses to user inquiries, I cannot guarantee their accuracy. This is due to the fact that the data and information on which I have been trained may not be entirely comprehensive or current, and there may be nuances or complexities associated with a particular topic that my model cannot handle. In addition, my responses are generated using intricate algorithms and machine learning models, which may not always produce accurate or pertinent results.

In addition, my answers may not always be accurate because the interpretation of language is frequently complex and subjective. The same language may be interpreted differently by various individuals, and there may be various approaches to a particular problem or question. As an AI language model, I endeavor to provide responses that are as precise as possible, based on the data and information on which I was trained. Nevertheless, I may not always comprehend the context or intent behind a particular query, and my responses may not always address the user's underlying question or concern.

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6. It will not malfunction.

Why do you occasionally lose your composure and cease functioning in the middle of an answer?

As an AI language model, my performance depends on a variety of factors, including the quality and structure of the user's input, the difficulty of the query or task, and the system's available resources. Occasionally, I may break down or cease functioning in the midst of an answer due to technical issues or errors in my programming, such as memory allocation issues, software bugs, or other performance-related issues. In addition, I may struggle to comprehend the user's intent or the context of the query, which may result in incorrect or insufficient responses.

In addition, as a machine learning system, my efficacy depends on the quality and quantity of training data. If the data used to train my model are insufficient or skewed, this may result in inaccurate or insufficient responses to particular types of queries. In addition, if I encounter a question that exceeds the scope of my training data, I may struggle to provide a relevant or accurate response. While I strive to provide high-quality responses to user inquiries, there may be instances in which technical or data-related issues cause me to break down or cease functioning in the middle of an answer.

In my experience, ChatGPT tends to fail when I attempt to provide a lengthy or detailed response. It is content with 500-700 word responses, but if you give it something that requires a few thousand words (or ask for a few thousand words), the system either overlooks the request and returns what it wants, or it breaks in the middle of a response.

To be truthful, ChatGPT has recently become the fastest-growing app of all time. It requires a tremendous amount of computing power, and with constant user traffic, it's destined to fail occasionally.

Not responding to certain inquiries

I asked ChatGPT what other categories of queries it was programmed not to respond to, in addition to those discussed previously. It provided me with a list of twenty:

1. Questions that foster hate speech or discrimination.
2. Questions regarding unlawful activities or soliciting illegal advice.
3. Questions that promote violence or damage to oneself or others.
4. Questions that invade personal privacy or violate someone's rights.
5. Questions meant to antagonize, threaten, or intimidate.
6. Questions that contain vulgar or explicit language.
7. Questions which are sexually explicit or objectionable.
8. Questions that are biased on the basis of ethnicity, gender, sexual orientation, or religion.
9. Questions that endorse or promote illicit drugs or substances.
10. Questions that are spam or unrelated to the discussion.
11. Questions containing sensitive or proprietary information.
12. Questions that involve financial or investment advice.
13. Questions that violate the terms of service or community guidelines are not permitted.
14. Questions that are meaningless or incomprehensible.
15. Questions containing personal assaults or insults are not permitted.
16. Questions that are derogatory or harassing.
17. Questions designed to mislead or deceive.
18. Questions designed to defame or damage the reputation of another individual.
19. Questions that encourage conspiracy theories or disinformation.
20. Questions that have no educational or informative value and are solely intended for entertainment or humor.

Those who have followed this column are aware that I have frequently queried it about #14 and #20 and received generally amusing responses, so its restrictions are somewhat limited. For instance, I asked it earlier today to explain wormhole physics in relation to time travel and who would prevail in a fight between Batman and Superman. That's sheer entertainment, I'll tell you.

How do these limitations impact the future of generative AI?

An AI that is founded on a corpus in 2021 and does not evolve will inevitably become obsolete. Its knowledge will become less pertinent as time passes. Imagine if the knowledge base of ChatAI was trained in 2019 instead of 2021. Given that the pandemic caused so much disruption in 2020, it would have no notion what society would be like.

Therefore, generative AI must maintain its training if it is to remain relevant.

Open the entire web to it and let it crawl around, as Google has done for years. However, as stated by ChatGPT in the preceding response, this opens the door to so many diverse methods of manipulating and corrupting the system that it is certain to compromise precision.

Even in the absence of malevolent gaming, maintaining neutrality is a challenging endeavor. Consider politics as an example. Both the right and the left have logical and valid aspects of their respective ideologies, even if the other side cannot or will not admit it.

How does an AI decide? Without bias, it cannot. But the absence of any and all ideological premises is itself a form of bias. How can we expect (or program) an artificial intelligence to tread this line if humans cannot figure it out?

To investigate what life would be like without any bias or emotional content, modern science fiction authors have created characters who are either purely logical or emotionless. The writers were then able to investigate what it would be like to exist without the human limitations of emotions and feelings by using these premises as plot devices.

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Unless AI programmers attempt to simulate emotions or provide weighting for emotional content, or attempt to account for bias based on what is discoverable online, chatbots such as ChatGPT will always provide limited responses. But if AI programmers attempt to simulate emotions or enable bias based on what is discoverable online, chatbots like ChatGPT will devolve into the same madness as humans.

Then, what do we seek? A few queries with limited responses, or all questions with responses that sound like they were derived from a Thanksgiving dinner conversation with Uncle Bob. Go ahead. Give that some thought and discuss it in the comments section, presumably without devolving into Uncle Bob-like madness.