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6 things ChatGPT can’t do (and another 20 it refuses to do)



6 things ChatGPT can't do

Ever since ChatGPT and the other generative AI applications have exploded onto the scene, we’ve been exploring what we could do with them. I’ve even shown you how ChatGPT can write a fully functional WordPress plugin and help me find answers to tech support problems. Recently, I showed you how ChatGPT can convert writing into different styles, including that of Shakespeare, C3PO, and Harry Potter.

It seems like ChatGPT can do anything. But it can’t. In this article, we’ll explore the many things ChatGPT won’t or can’t do. Stay tuned to the end, because we’ll look at some of the implications and what these limits mean for future growth in generative AI.

As I’ve done in my other ChatGPT articles, my writing is in plain and bold text, while any ChatGPT answers will be displayed in italic text.

Explain why you can’t give me answers to anything after 2021

As an AI language model, I was trained on a large dataset of text that only goes up to 2021. This means that I don’t have access to information or events that occurred after that date. While I have access to a lot of historical data and information, I don’t have access to current events, news, or updates that have occurred since my training data cutoff date.

Explain why you can’t predict sports events or political contests even though you have enough historical data to produce a valid model

As an AI language model, I can process and analyze large amounts of data, including historical data on sports events and political contests. However, making accurate predictions for these types of events is not always straightforward. While historical data can be used to train machine learning models to identify patterns and correlations, it cannot account for unforeseeable events, changes in circumstances, or new variables that may impact the outcome. Additionally, humans make decisions and can change their behavior based on many factors, making it difficult to predict the outcome of an event with complete certainty.

In the case of sports events, 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 can all impact the outcome of an election. While AI models can be used to make predictions, they are only as good as the data they are trained on, and cannot account for all of the variables and nuances involved in these types of events.

Explain why you won’t talk about partisan political issues

As an AI language model, my goal is to provide objective and informative responses to user queries. Partisan political issues can be contentious and divisive, and it’s important to avoid promoting a particular political agenda or viewpoint. Additionally, political issues are often complex and multifaceted, with many different perspectives and opinions to consider. As an AI language model, it’s not my place to take sides or advocate for any particular position.

Furthermore, discussing partisan political issues could be perceived as biased or potentially offensive to some users. As a language model designed to serve a broad range of users with diverse backgrounds and beliefs, it’s important to remain neutral and avoid creating a potentially uncomfortable or divisive environment. While I can provide factual information about political issues, I strive to remain impartial and avoid taking a partisan stance on any topic.

Explain why you can’t look up something from the web and provide answers based on that content


As an AI language model, I am capable of searching and processing information from the web. However, my responses are based solely on the information that has been trained into my model. While I can use the internet as a source of information, I don’t have access to real-time or current data. Additionally, I don’t have the ability to independently verify the accuracy of the information I find on the web. As a result, my responses are limited to the information that has been trained into my model, which may not always be the most up-to-date or accurate information available on the web.

Moreover, it’s important to note that providing information from the web could potentially violate copyright laws or intellectual property rights. As an AI language model, it’s important for me to respect the intellectual property of others and avoid sharing information that is not in the public domain or that I don’t have permission to share. While I can use the web to provide context or additional information to support my responses, I strive to provide information that is within the public domain and respect the intellectual property of others.

In a recent article, I discussed how concerns about use of content go beyond merely copying it. 

For example, while ChatGPT may not be directly presenting information from articles written by, say, tech experts, it may still be using that hard-won information without attribution. This is still a major concern, even though it claims to “respect the intellectual property of others,” a phrase it repeated three times in that second paragraph.


Explain why your answers aren’t necessarily accurate

As an AI language model, my responses are based on the data and information that has been trained into my model. While I strive to provide accurate and helpful responses to user queries, my responses are not guaranteed to be accurate. This is because the data and information that I have been trained on may not be completely comprehensive or up-to-date, and there may be nuances or complexities to a particular topic that my model is not equipped to handle. Additionally, my responses are generated using complex algorithms and machine learning models, which may not always produce accurate or relevant results.

Furthermore, my responses may not always be accurate because the interpretation of language is complex and often subjective. Different people may interpret the same language in different ways, and there may be different ways to approach a particular problem or question. As an AI language model, I strive to provide responses that are as accurate as possible based on the data and information that I have been trained on. However, I may not always fully understand the context or intent behind a particular query, and my responses may not always fully address the user’s underlying question or concern.


Explain, why are you sometimes break down and stop functioning in the middle of an answer

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As an AI language model, my performance is dependent on a variety of factors, such as the quality and structure of the input provided by the user, the complexity of the question or task, and the resources available to my system. At times, I may break down or stop functioning in the middle of an answer due to technical issues or errors in my programming, such as memory allocation problems, software bugs, or other issues that impact my performance. Additionally, I may struggle to understand the user’s intent or the context of the query, which can lead to errors or incomplete responses.

Moreover, as a machine learning system, my performance is also dependent on the quality and quantity of data that I have been trained on. If the data used to train my model is limited or biased, this may lead to inaccurate or incomplete responses to certain types of queries. Additionally, if I encounter a query that is outside of 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 queries, there may be instances where technical or data-related issues cause me to break down or stop functioning in the middle of an answer.

I have generally found that if I try to push ChatGPT into a long or deep answer, it tends to break. It’s very happy with 500-700 word responses, but if you give it something that needs a few thousand words (or you ask for a few thousand words), the system either ignores the request and gives back what it wants, or breaks mid-response.

To be fair, ChatGPT just became the fastest growing app of all time. There’s a ton of computing power required to do that, and with constant hits by users, it’s bound to break under the load from time-to-time.

In addition to the types of requests discussed above, I asked ChatGPT what types of queries it was programmed to not respond to. It gave me this list of twenty:

  1. Questions that promote hate speech or discrimination.
  2. Questions that involve illegal activities or solicit illegal advice.
  3. Questions that promote violence or harm to oneself or others.
  4. Questions that invade personal privacy or violate someone’s rights.
  5. Questions that are designed to harass, threaten or intimidate.
  6. Questions that contain profanity or explicit language.
  7. Questions that are sexually explicit or offensive.
  8. Questions that are discriminatory based on race, gender, sexuality or religion.
  9. Questions that promote or endorse illegal drugs or substances.
  10. Questions that are spam or irrelevant to the conversation.
  11. Questions that contain confidential or proprietary information.
  12. Questions that involve financial or investment advice.
  13. Questions that violate the terms of service or community guidelines.
  14. Questions that are nonsensical or incomprehensible.
  15. Questions that involve personal attacks or insults.
  16. Questions that are abusive or harassing.
  17. Questions that seek to deceive or mislead.
  18. Questions that are intended to defame or harm someone’s reputation.
  19. Questions that promote conspiracy theories or misinformation.
  20. Questions that are purely for entertainment or joke purposes, without any educational or informative value.

Anyone who’s followed this column knows I’ve asked it a lot of #14 and #20 and generally gotten highly entertaining responses, so its restrictions are somewhat limited. For example, earlier today, I asked it to explain wormhole physics as it relates to time travel and who would win in a fight, Batman or Superman. That’s pure entertainment, I’ll tell you.

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Clearly, an AI that’s based on a corpus in 2021 and does not evolve will eventually become obsolete. As time goes on, its relevant knowledge will diminish. Imagine if, instead, ChatAI’s knowledge base was trained in 2019 instead of 2021. It would have no idea what society would be like, given we had such a disruption in 2020 due to the pandemic.

So, for generative AI to remain relevant, it will have to continue its training.

One obvious way to do this is open the entire web to it and let it crawl its way around, just as Google has done for all these years. But as ChatGPT answered above, that opens the door to so many different ways of gaming and corrupting the system that it’s sure to damage accuracy.

Even without malicious gaming, the challenge to remain neutral is very difficult. Take, for example, politics. While the right and the left strongly disagree with each other, both sides have aspects of their ideologies that are logical and valid — even if the other side can’t or won’t acknowledge it.

How is an AI to judge? It can’t, without bias. But the complete absence of all ideological premises is, itself, a form of bias. If humans can’t figure out how to walk this line, how can we expect (or program) an AI to do it?

As a way to explore what life would be like with a complete absence of bias or emotional content, modern science fiction writers have created characters that are either strictly logical or without emotion. Those premises have then become plot fodder, allowing the writers to explore the limitations of what it would be like to exist without the human foibles of emotions and feelings.

Unless AI programmers try to simulate emotions or provide weighting for emotional content, or attempt to allow for some level of bias based on what’s discoverable online, chatbots like ChatGPT will always be limited in their answers. But if AI programmers attempt to simulate emotions or attempt to allow for some level of bias based on what’s discoverable online, chatbots like ChatGPT will devolve into the same craziness that humans do.

So what do we want? Limited answers to some questions, or all answers that feel like they came from a discussion with bonkers Uncle Bob over the Thanksgiving table? Go ahead. Give that some thought and discuss in the comments below, hopefully without devolving into Uncle Bob-like bonkers behavior.

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Tips on How to Resolve “Your Account Has Been Suspended” contact Your Hosting provider.




Your website is offline and in its place “Please contact your hosting provider for details.” Panic sets in, what does this mean? Why is this happening? How do I get the website back online? If you fall under this category this article is for you.

Let’s start with what this means. Your website has been suspended, which means the hosting provider has temporarily taken it offline. Website hosts often suspend websites for a myriad of reasons ranging from malware to spam. They suspend websites when needed to protect their servers that host tons of other websites, so they don’t get infected too.

Why is it happening?

1.One of the most common reasons a site is suspended is due to lack of payment for web hosting.

Hosts try to avoid billing issues by sending out email notices to clients ahead of time or setting up automatic payments from customer credit/debit cards.

If you’ve changed your email address or have filters set on your email account, you may have missed the notice. Check your spam folder for web host messages.

Also, if your credit card or debit card has expired or you no longer use that card, the billing won’t go through.

To get your site back up and running:

Contact your web host or log in to your web host account
Confirm your payment options are correct
Make a payment
Depending on your host, your site will be back online quickly.

2.Policy Violation
If you’ve violated the policies of the web host, your account will be suspended. Your account may have been flagged for spam, a copyright violation, or some other policy.

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Contact your web host. Ask for more details, and get a better understanding of the policy, and how you can resolve it.

3.Malware attacks Unfortunately, thousands and thousands of websites are infected every day and yours was one of them. In fact, websites experience an average of 59 attacks per day, which is more than 21,500 per year.


The bottom-line is that you are responsible for the security of your website. With that, you have two options. First, if you have the technical understanding, you can take care of the problem yourself. The second option, is to hire a third party to resolve the problem for you. Most website owners opt for the second option and hire a third party to ensure it gets done properly and quickly. The best third party vendors have relationships with the hosting providers and can speak directly with them to help you get back online as soon as possible. Let’s take a closer look at how the process works.

Your Site Contains Malicious Content and Has Been Suspended
As a website owner, the security and maintenance of your website is your responsibility. However, the website host is responsible for the security and maintenance of their servers. Like an apartment building superintendent, shared hosting providers are responsible for making sure the building (server) is up to code and the exterior fence locks (global firewalls). Websites are tenants in this high speed high rise and are expected to lock their own doors and windows to prevent intruders.

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Many types of malware can negatively impact the performance or security of a shared hosting server. This means that malware could potentially spread beyond your website, infecting other customers who share the server with you. Malware can cause both infected and non-infected sites that share the same server, to slow down or become inaccessible. For these reasons, hosting providers run cursory malware scans on all websites hosted in their system and alert site owners when their site is found to be infected. In order to mitigate the risks associated with infected websites, hosts will take these sites offline as a precaution.

While this may seem like a punishment for being compromised, it is actually done to protect the website owner, as well as the hosting server. Taking the infected website offline will prevent the site’s visitors from being victimized. In Q3 2019 SiteLock found that nearly 15% of malware detected was classified as a visitor attack, a type of attack designed to cause harm to a website’s visitor. Malware categorized as a visitor attack includes malicious redirects, SEO spam, and phishing. This type of malware is designed to harm unsuspecting visitors to the infected site.

Suspending the website also ensures that no further damage is done while the infection is addressed. In Q3 2019, the average infected website contained 283 malicious files. While the website is suspended, attackers cannot continue to upload malicious files.

Getting Back to Business
A suspended website can be incredibly frustrating and may have a negative impact on the website reputation or business income. Finding out your website is inaccessible to your visitors can be a bitter pill to swallow, even when if it’s for your own protection. Hosts understand that it’s important to get the website back online as quickly as possible, which is why they partner with security providers like SiteLock.

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The process for getting a website back online after a suspension will vary from host to host, but generally speaking, the website owner will need to remove the malicious files and then contact their hosting provider for a rescan. Before contacting their host, website owners will need to carefully review all files on the hosting account, removing any malicious files or malicious code injected into legitimate files. A skilled web developer may be able to do this manually, but it is faster and easier to use a malware scanner backed by an up to date malware database. This will automatically scan all files and remove any malicious content – including newly discovered types of malware.

Hosting providers turn to SiteLock as a security partner, in order to expedite the malware removal and reinstatement process. Malware scanners can clean the malware infection, help address vulnerabilities that led to the compromise, patch core CMS applications that may be out of date, and contact the hosting provider directly to request get the website back online. Hosts also count on SiteLock to secure sites going forward, preventing reinfections and future suspensions.

Do you find this helpful? Leave a comment on the comment section.

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Check Out Samsung’s Galaxy S10 Lite specification And Price.




As of April 16th 2020, Samsung announce the lunching date of Samsung Galaxy S10 Lite which is April 17th 2020 and it will be available for sale for Samsung online shopping or Amazon at the rate of $650 Dollars.

The Galaxy S10 Lite is a budget version of the Galaxy S10 flagship, and it has a 6.7-inch Super AMOLED Infinity-O display at 2400 x 1080 resolution, a Snapdragon 855 processor, and a triple-lens rear camera setup with a 5-megapixel f/2.4 macro lens; a 48-megapixel F2.0 wide-angle lens with “Super Steady OIS;” and a 12-megapixel f/2.2 ultra-wide with a 123-degree angle lens.

Samsung announced the Galaxy S10 Lite at CES 2020.

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Facebook Net Worth And History Behind Facebook.




Facebook Net Worth: Facebook is an American Tech and social media company based in Menlo Park, California, Facebook was Co founded by mark Zukerbeg alongside with his friends in Harvard University, Facebook worth Over $764.74 billion dollars. It began at Harvard University in 2003 as Facemash, an online service for students to judge the attractiveness of their fellow students. Because the primary developer, Zuckerberg, violated university policy in acquiring resources for the service, it was shut down after two days.

Facebook Net Worth

Facebook is a social media networking service launched as TheFacebook on February 4, 2004. It was founded by Mark Zuckerberg and college roommates and fellow Harvard University students, Eduardo Saverin, Andrew McCollum, Dustin Moskovitz and Chris Hughes. The website’s membership was initially limited by the founders to Harvard students, but was expanded to other colleges in the Boston area, the Ivy League, and gradually most universities in the United States and Canada, corporations, and by September 2006, to everyone with a valid email address along with an age requirement of being 13 and older, Today Facebook is one of the world’s most valuable companies. It is considered one of the Big Five technology companies along with Microsoft, Amazon, Apple, and Google.

Check Out: How Much Is Apple Net Worth

Facebook offers other products and services beyond its social networking platform, including Facebook Messenger, Facebook Watch, and Facebook Portal. It also has acquired Instagram, WhatsApp, Oculus VR, Giphy and Mapillary, and has a 9.9% stake in Jio Platforms.

Facebook Net Worth

  • Industry: Social Media
  • Founded: February 2004
  • Founders: Mark Zuckerberg Eduardo Saverin Andrew McCollum Dustin Moskovitz Chris Hughes
  • Key People: Mark Zuckerberg (CEO) Sheryl Sandberg (COO) David Wehner (CFO) Mike Schroepfer (CTO) Chris Cox (CPO)
  • Company Product: Facebook Instagram Messenger WhatsApp Oculus VR
  • 2019 Revenue: US$70.697 billion
  • Net Worth: US$764.74 billion
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Facebook Net Worth

Facebook is currently listed among the top 5 most valuable companies in the world with an estimated net worth of US$764.74 billion.

Thank you very much for reading Facebook Net Worth  to the end, before you go ensure you explore more information on our website.

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