Surprisingly, ChatGPT Can't Do These #8 Things (Yet)

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ChatGPT appears to be able to perform any task. Yet, it is impossible. In this article, we'll explore all the things that ChatGPT either can't or won't perform.

#1 No topics will be covered after 2021

The ChatGPT bot was only trained on extensive text data up to 2021, therefore it is not aware of news, updates, or events that have taken place since the training data cutoff date. This implies that all of its responses are outdated because they are based on information that is only valid until 2021 and cannot cover anything that occurred after that date.

#2 Can’t respond vocally

Because ChatGPT has been taught to predict text, it lacks the ability to understand the complexity of language and human conversations. This indicates that any responses it generates are probably weak, lacking in depth and reliability.

It's important to note that Google's Bard bot can understand the conversational flow and understand dialogue context, outperforming Chat GPT in many situations.

#3 ChatGPT can't write complex code

After its launch, the ChatGPT bot generated a lot of buzz thanks to its capacity for identifying and fixing coding problems. Nevertheless, if you ask it to write complicated code, it will acknowledge its limitations and say it is out of its level.

#4 Chat GPT won't be able to predict the Future outcomes

Large volumes of data, including historical information on political and sporting events, may be processed and analyzed by AI language models, but making accurate predictions is challenging because of unexpected events, shifting conditions, or new variables.

When it comes to sporting events, factors like team dynamics, injuries, and even the weather may affect the result. Public opinion, media coverage, and changing circumstances may all have an effect on how an election turns out in politics.

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Furthermore, as humans are exposed to a wide range of circumstances, it is challenging to anticipate an event's conclusion with complete accuracy. While AI models may be used to generate predictions, their accuracy depends on the data they are trained on, and they are unable to take into account all of the nuances and variables that are involved in these types of events.

#5 You won't always get correct responses from ChatGPT

The responses provided by Chat GPT are based on outdated and maybe incomplete data and information. Moreover, it uses advanced algorithms and machine learning models to create its responses, which may not always produce reliable or relevant results. Besides that, the model might not be able to handle the nuances or complexity of a given issue.

#6 Political party matters won't be discussed

It's crucial for an AI language model to respond to user inquiries honestly and comprehensively. Partisan political topics cannot take sides or support any one viewpoint, yet they can be controversial and divisive.

Also, some people could find it disrespectful or prejudiced when you discuss partisan political matters. It will attempt to stay unbiased and avoid taking a partisan opinion on any subject in order to maintain neutrality and prevent potentially unpleasant or divisive situations.

#7 Chat GPT won't do any actions that need a web search

Chat GPT can search the web and analyze information like an AI language model, but it does not have access to real-time or up-to-date data. Its responses are therefore limited to the data that has been fed into the model, which may not always be the most current or accurate data on the web.

It's important for ChatGPT to respect the intellectual property of others and refrain from disseminating materials that are either not in the public domain or for which they lack the necessary authorization.

For example, Chat GPT may use material from publications written by professionals without giving them credit, even though it may not be directly presenting that information.

#8 The possibility to become malfunction

The effectiveness of ChatGPT as an AI language model depends on a variety of factors, including the quality and structure of the user's input, the complexity of the task or query, and the system's resources.

However still, the model may struggle to provide a relevant or accurate response if the question is beyond the range of the training data because of the quality and amount of the data used to train it. This might lead to inaccurate or incomplete answers to some sorts of queries.

Moreover, the system may malfunction or quit working in the middle of a response due to technical or data-related reasons. Consequently, if the system is compelled to provide a lengthy or in-depth response, it may choose to ignore the request or stop responding altogether.

What do these limits mean for the future of generative AI?

Generative AI must continue its training to remain relevant, and open the entire web to it, but this opens the door to gaming and corrupting the system. Even without malicious gaming, it is difficult to remain neutral in politics, as both sides have aspects of their ideologies that are logical and valid. AI cannot judge without bias, as the absence of all ideological premises is itself a form of bias.

Modern science fiction writers have created characters that are either strictly logical or without emotion, allowing them to explore the limitations of life without emotions. AI programmers should try to simulate emotions or provide weighting for emotional content, or allow for some level of bias based on what's discoverable online, or chatbots like ChatGPT will devolve into the same craziness that humans do.

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