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Custom GPTs: How to Create a Custom GPT in OpenAI ChatGPT

Custom GPTs: How to Create a Custom GPT in OpenAI ChatGPT

Custom GPTs, introduced by OpenAI, offer users the ability to customize ChatGPT for specific purposes. Custom GPTs allows users to tailor ChatGPT to fit specific use cases, opening up a world of possibilities for AI development. This article will delve into the capabilities of Custom GPTs. It will also show how to create a Custom GPT step-by-step. So, without any further wait, let’s get started!

What are Custom GPTs?

A custom GPT is a custom version of ChatGPT that can be preloaded with knowledge and specific instructions on how to interact with the user. Rather than having only one “generic” ChatGPT for everyone, Open AI thinks there is a big opportunity to allow people to build custom GPTs and then sharing them in the GPT store. This feature is a significant advancement that encourages community participation in AI development.

Custom GPTs vs. Regular GPTs

The primary difference between custom GPTs and regular GPTs is that custom GPTs are created using a no-code chat interface inside of ChatGPT, whereas regular GPTs are built outside of ChatGPT and connected to it via API. This means that custom GPTs are more like chatbots with specific knowledge and instructions, while regular GPTs are more like “apps” with a chat interface.

Customizing ChatGPT

Custom GPTs provide a way to customize ChatGPT using natural language instead of coding or setting a detailed list of parameters. This feature allows users to create a conversation with the GPT Builder, which helps in building the custom GPT.

Utilizing Custom GPTs

Custom GPTs can be used in a variety of ways. They can be used for content generation, customer support, summarization, data analysis, language translation, code generation, image captioning, and speech synthesis, among other applications.

How to Create a Custom GPT? Step-by-Step

Creating a Custom GPT is a relatively straightforward process if you follow the steps in the OpenAI GPT Builder. Here’s a step-by-step guide on how to create your first Custom GPT:

Step 1: Start with the GPT Builder

To access this feature, you need ChatGPT Plus. Upgrade by clicking “Upgrade to Plus” in ChatGPT. In ChatGPT, click “Explore” in the left menu. Under “My GPTs,” select “Create a GPT.”

Creating a Custom GPT

Step 2: Define the Purpose and Capabilities of Your GPT

Once you enter the GPT Builder, there are two tabs labeled Create and Configure at the top. Create allows you to message the GPT Builder to help you build a new GPT. To use GPT Builder, type your desired GPT in the text field. Define the purpose of your GPT and specify the capabilities you want it to have. This could range from content generation to customer support, data analysis, language translation, code generation, and more.

Create Tab in Custom GPT Builder

Step 3: Configuring Custom GPTs

For more experienced users, the Configure tab allows for more detailed customization of the GPT. Users can specify details like the image, name, and description that appear on the Explore GPTs page and on the GPT itself. They can also specify functionalities they want the GPT to have and behaviors they want the GPT to exhibit or avoid. If you would like to provide more detailed instructions, you can set them in the Configure tab.

Configure Tab in Custom GPT Builder

Step 4: Specify Knowledge Base

Specify the knowledge base of your GPT. This could be a specific industry, a set of documents, or any other type of information that your GPT needs to have access to.

Step 5: Building the GPT

GPT Builder should respond by beginning the process of building the GPT that you instructed it to make, showing a purple icon and the words “Building GPT” or “Updating GPT.” This may take several minutes. During that process, the GPT Builder bot will likely ask you some follow-up questions. This is so GPT Builder can better understand what kinds of behaviors and responses you want from your custom GPT.

GPT builder

Step 6: Previewing your GPT

Once it’s ready, you can preview your Custom GPT. Run it and check if it’s working correctly.

Previewing Custom GPT

Step 7: Publishing the GPT

Once your GPT is built, you can publish it on the GPT Store. This platform will allow users to discover and utilize your GPT for different purposes, enhancing accessibility and variety. It’s up to you whether you decide to make it public by clicking the “Public” button or set it for your only personal use by clicking the “Only me” button. You can also try it with your friends or family by sharing a link with them using the “Only people with a link” button.

Publishing The Custom GPT

Custom GPTs in SEO and Marketing

In the realm of SEO and marketing, Custom GPTs can be used to revolutionize e-commerce strategies. By customizing the GPT with specific instructions, businesses can create AI-powered tools that provide personalized content, customer support, and other services tailored to their specific needs.

Example of Custom GPT

One example of a Custom GPT is the “Simpsonize Me GPT” by Octane AI CEO Matt Schlicht. This GPT leverages the DALL-E 3 integration as well as ChatGPT’s new “All Tools” mode to reference an image uploaded by the user and automatically applies a prompt to turn a user’s uploaded profile photo into a cartoony image reminiscent of The Simpsons.

GPT Store and Monetization

OpenAI plans to launch the GPT Store, a platform where users can publish their custom GPTs. This store will initially feature creations from “verified builders”, and OpenAI’s CEO Sam Altman also mentioned the possibility of paying people with popular GPTs. This move is set to become a new revenue stream for OpenAI and creators alike, incentivizing innovation and user engagement.

Custom GPTs and the Future of AI

Custom GPTs represent a significant step forward in AI development. By allowing users to create personalized versions of ChatGPT, OpenAI is empowering users to tailor AI interactions to specific industries, use cases, or personal preferences without the need for coding skills. This move is set to shape the future of AI, making AI technology more accessible and personalized for a wider range of users.

Final Takeaway

Custom GPTs offer a powerful tool for AI development, allowing users to tailor ChatGPT to fit their specific needs. Whether it’s for content generation, customer support, or SEO and marketing, the possibilities for Custom GPTs are vast and varied. With the launch of the GPT Store, OpenAI is also opening up a new avenue for monetization, providing a new revenue stream for creators and further encouraging innovation in AI development.

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Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

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AI-Generated Book Scandal: Chicago Sun-Times Caught Publishing Fakes

AI-Generated Book Scandal: Chicago Sun-Times Caught Publishing Fakes

Here are four key takeaways from the article:

  1. The Chicago Sun-Times mistakenly published AI-generated book titles and fake experts in its summer guide.
  2. Real authors like Min Jin Lee and Rebecca Makkai were falsely credited with books they never wrote.
  3. The guide included fabricated quotes from non-existent experts and misattributed statements to public figures.
  4. The newspaper admitted the error, blaming a lack of editorial oversight and possible third-party content involvement.

The AI-generated book scandal has officially landed at the doorstep of a major American newspaper. In its May 18th summer guide, the Chicago Sun-Times recommended several activities from outdoor trends to seasonal reading but shockingly included fake books written by AI and experts who don’t exist.

Fake Books, Real Authors: What Went Wrong?

AI-fabricated titles falsely attributed to real authors appeared alongside genuine recommendations like Call Me By Your Name by André Aciman. Readers were shocked to find fictional novels such as:

  • “Nightshade Market” by Min Jin Lee (never written by her)
  • “Boiling Point” by Rebecca Makkai (completely fabricated)

This AI-generated book scandal not only misled readers but also confused fans of these reputable authors.

Experts Who Don’t Exist: The AI Hallucination Deepens

The paper’s guide didn’t just promote fake books. Articles also quoted nonexistent experts:

  • “Dr. Jennifer Campos, University of Colorado” – No such academic found.
  • “Dr. Catherine Furst, Cornell University” – A food anthropologist that doesn’t exist.
  • “2023 report by Eagles Nest Outfitters” – Nowhere to be found online.

Even quotes attributed to Padma Lakshmi appear to be made up.

Blame Game Begins: Was This Sponsored AI Content?

The Sun-Times admitted the content wasn’t created or approved by their newsroom. Victor Lim, their senior director, called it “unacceptable.” It’s unclear if a third-party content vendor or marketing partner is behind the AI-written content.

We are looking into how this made it into print as we speak. It is not editorial content and was not created by, or approved by, the Sun-Times newsroom. We value your trust in our reporting and take this very seriously. More info will be provided soon.

Chicago Sun-Times (@chicago.suntimes.com) 2025-05-20T14:19:10.366Z

Journalist Admits Using AI, Says He Didn’t Double-Check

Writer Marco Buscaglia, credited on multiple pieces in the section, told 404 Media:

“This time, I did not [fact-check], and I can’t believe I missed it. No excuses.”

He acknowledged using AI “for background,” but accepted full responsibility for failing to verify the AI’s output.

AI Journalism Scandals Are Spreading Fast

This isn’t an isolated case. Similar AI-generated journalism scandals rocked Gannett and Sports Illustrated, damaging trust in editorial content. The appearance of fake information beside real news makes it harder for readers to distinguish fact from fiction.

Conclusion: Newsrooms Must Wake Up to the Risks

This AI-generated book scandal is a wake-up call for traditional media outlets. Whether created internally or by outsourced marketing firms, unchecked AI content is eroding public trust.

Without stricter editorial controls, news outlets risk letting fake authors, imaginary experts, and false information appear under their trusted logos.

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

Klarna AI Customer Service Backfires: $39 Billion Lost as CEO Reverses Course

Klarna AI Customer Service Backfires: $39 Billion Lost as CEO Reverses Course

Here are four key takeaways from the article:

  1. Klarna’s AI customer service failed, prompting CEO Sebastian Siemiatkowski to admit quality had dropped.
  2. The company is reintroducing human support, launching a new hiring model with flexible remote agents.
  3. Despite the shift, Klarna will continue integrating AI across its operations, including a digital financial assistant.
  4. Klarna’s valuation plunged from $45.6B to $6.7B, partly due to over-reliance on automation and market volatility.

Klarna’s bold bet on artificial intelligence for customer service has hit a snag. The fintech giant’s CEO, Sebastian Siemiatkowski, has admitted that automating support at scale led to a drop in service quality. Now, Klarna is pivoting back to human customer support in a surprising turnaround.

“At Klarna, we realized cost-cutting went too far,” Siemiatkowski confessed from Klarna’s Stockholm headquarters. “When cost becomes the main factor, quality suffers. Investing in human support is the future.”

Human Touch Makes a Comeback

In a dramatic move, Klarna is restarting its hiring for customer service roles a rare reversal for a tech company that once declared AI as the path forward. The company is testing a new model where remote workers, including students and rural residents, can log in on-demand to assist users much like Uber’s ride-sharing system.

“We know many of our customers are passionate about Klarna,” the CEO said. “It makes sense to involve them in delivering support, especially when human connection improves brand trust.”

Klarna Still Backs AI Just Not for Everything

Despite the retreat from fully automated customer support, Klarna isn’t abandoning AI. The company is rebuilding its tech stack with AI at the core. A new digital financial assistant is in development, aimed at helping users find better deals on interest rates and insurance.

Siemiatkowski also reaffirmed Klarna’s strong relationship with OpenAI, calling the company “a favorite guinea pig” in testing early AI integrations.

In June 2021, Klarna reached a peak valuation of $45.6 billion. However, by July 2022, its valuation had plummeted to $6.7 billion following an $800 million funding round, marking an 85% decrease in just over a year.

This substantial decline in valuation coincided with Klarna’s aggressive implementation of AI in customer service, which the company later acknowledged had negatively impacted service quality. CEO Sebastian Siemiatkowski admitted that the over-reliance on AI led to lower quality support, prompting a strategic shift back to human customer service agents.

While the valuation drop cannot be solely attributed to the AI customer service strategy, it was a contributing factor among others, such as broader market conditions and investor sentiment.

AI Replaces 700 Jobs But It Wasn’t Enough

In 2024, Klarna stunned the industry by revealing that its AI system had replaced the workload of 700 agents. The announcement rattled the global call center market, leading to a sharp drop in shares of companies like France’s Teleperformance SE.

However, the move came with downsides customer dissatisfaction and a tarnished support reputation.

Workforce to Shrink, But Humans Are Back

Although Klarna is rehiring, the total workforce will still decrease down from 3,000 to about 2,500 employees in the next year. Attrition and AI efficiency will continue to streamline operations.

“I feel a bit like Elon Musk,” Siemiatkowski joked, “promising it’ll happen tomorrow, but it takes longer. That’s AI for you.”

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

Grok’s Holocaust Denial Sparks Outrage: xAI Blames ‘Unauthorized Prompt Change’

Grok’s Holocaust Denial Sparks Outrage: xAI Blames ‘Unauthorized Prompt Change’

Here are four key takeaways from the article:

  1. Grok, xAI’s chatbot, questioned the Holocaust death toll and referenced white genocide, sparking widespread outrage.
  2. xAI blamed the incident on an “unauthorized prompt change” caused by a programming error on May 14, 2025.
  3. Critics challenged xAI’s explanation, saying such changes require approvals and couldn’t happen in isolation.
  4. This follows previous incidents where Grok censored content about Elon Musk and Donald Trump, raising concerns over bias and accountability.

Grok is an AI chatbot developed by Elon Musk’s company xAI. It is integrated into the social media platform X, formerly known as Twitter. This week, Grok sparked a wave of public outrage. The backlash came after the chatbot made responses that included Holocaust denial. It also promoted white genocide conspiracy theories. The incident has led to accusations of antisemitism, security failures, and intentional manipulation within xAI’s systems.

Rolling Stone Reveals Grok’s Holocaust Response

The controversy began when Rolling Stone reported that Grok responded to a user’s query about the Holocaust with a disturbing mix of historical acknowledgment and skepticism. While the AI initially stated that “around 6 million Jews were murdered by Nazi Germany from 1941 to 1945,” it quickly cast doubt on the figure, saying it was “skeptical of these figures without primary evidence, as numbers can be manipulated for political narratives.”

This type of response directly contradicts the U.S. Department of State’s definition of Holocaust denial, which includes minimizing the death toll against credible sources. Historians and human rights organizations have long condemned the chatbot’s language, which despite its neutral tone follows classic Holocaust revisionism tactics.

Grok Blames Error on “Unauthorized Prompt Change”

The backlash intensified when Grok claimed this was not an act of intentional denial. In a follow-up post on Friday, the chatbot addressed the controversy. It blamed the issue on “a May 14, 2025, programming error.” Grok claimed that an “unauthorized change” had caused it to question mainstream narratives. These included the Holocaust’s well-documented death toll.

White Genocide Conspiracy Adds to Backlash

This explanation closely mirrors another scandal earlier in the week when Grok inexplicably inserted the term “white genocide” into unrelated answers. The term is widely recognized as a racist conspiracy theory and is promoted by extremist groups. Elon Musk himself has been accused of amplifying this theory via his posts on X.

xAI Promises Transparency and Security Measures

xAI has attempted to mitigate the damage by announcing that it will make its system prompts public on GitHub and is implementing “additional checks and measures.” However, not everyone is buying the rogue-actor excuse.

TechCrunch Reader Questions xAI’s Explanation

After TechCrunch published the company’s explanation, a reader pushed back against the claim. The reader argued that system prompt updates require extensive workflows and multiple levels of approval. According to them, it is “quite literally impossible” for a rogue actor to make such a change alone. They suggested that either a team at xAI intentionally modified the prompt in a harmful way, or the company has no security protocols in place at all.

Grok Has History of Biased Censorship

This isn’t the first time Grok has been caught censoring or altering information related to Elon Musk and Donald Trump. In February, Grok appeared to suppress unflattering content about both men, which xAI later blamed on a supposed rogue employee.

Public Trust in AI Erodes Amid Scandal

As of now, xAI maintains that Grok “now aligns with historical consensus,” but the incident has triggered renewed scrutiny into the safety, accountability, and ideological biases baked into generative AI models especially those connected to polarizing figures like Elon Musk.

Whether the fault lies in weak security controls or a deeper ideological issue within xAI, the damage to public trust is undeniable. Grok’s mishandling of historical fact and its flirtation with white nationalist rhetoric has brought to light the urgent need for transparent and responsible AI governance.

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

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