#openai gpt store

[reallytoosublime]

Welcome to the GPT Store, where innovation meets imagination! Nestled within the bustling heart of the digital marketplace, the GPT Store stands as a beacon of cutting-edge technology and limitless creativity. As you step into our virtual emporium, prepare to embark on an extraordinary journey through the realms of artificial intelligence and linguistic prowess.

With its sleek interface and intuitive design, the GPT Store offers a seamless shopping experience like no other. Whether you're a seasoned developer, a curious enthusiast, or an avid explorer of the digital frontier, there's something here for everyone. From advanced AI models to bespoke language tools, our vast collection caters to a diverse array of needs and interests.

At the heart of the GPT Store lies our flagship product: the renowned GPT series. Powered by state-of-the-art deep learning algorithms and trained on vast swathes of data, these AI models represent the pinnacle of natural language processing. Whether you seek assistance with writing, coding, or creative endeavors, our GPT models are your ultimate companions in unlocking new possibilities.

But the GPT Store is more than just a repository of AI models. It's a vibrant marketplace where ideas flourish and innovation thrives. Browse through our curated selection of plugins, extensions, and add-ons, each crafted to enhance your AI experience. From language translation tools to sentiment analysis plugins, these resources are designed to augment your productivity and unleash your creativity.

So, whether you're a seasoned AI aficionado or a curious newcomer, come discover the wonders of the GPT Store. Unleash your imagination, explore the limitless potential of artificial intelligence, and embark on a journey that transcends the boundaries of what's possible. Welcome to the future of innovation.

GPT Store: How To Use and Make Money Online 2024

[youtubemarketing1234]

Welcome to the GPT Store, where innovation meets imagination! Nestled within the bustling heart of the digital marketplace, the GPT Store stands as a beacon of cutting-edge technology and limitless creativity. As you step into our virtual emporium, prepare to embark on an extraordinary journey through the realms of artificial intelligence and linguistic prowess.

With its sleek interface and intuitive design, the GPT Store offers a seamless shopping experience like no other. Whether you're a seasoned developer, a curious enthusiast, or an avid explorer of the digital frontier, there's something here for everyone. From advanced AI models to bespoke language tools, our vast collection caters to a diverse array of needs and interests.

At the heart of the GPT Store lies our flagship product: the renowned GPT series. Powered by state-of-the-art deep learning algorithms and trained on vast swathes of data, these AI models represent the pinnacle of natural language processing. Whether you seek assistance with writing, coding, or creative endeavors, our GPT models are your ultimate companions in unlocking new possibilities.

But the GPT Store is more than just a repository of AI models. It's a vibrant marketplace where ideas flourish and innovation thrives. Browse through our curated selection of plugins, extensions, and add-ons, each crafted to enhance your AI experience. From language translation tools to sentiment analysis plugins, these resources are designed to augment your productivity and unleash your creativity.

For those seeking personalized solutions, the GPT Store offers bespoke services tailored to your specific requirements. Whether you need custom model training, API integration, or specialized consultancy, our team of experts is here to help you realize your vision. With their unparalleled expertise and dedication to excellence, they'll guide you every step of the way, ensuring that your AI journey is both rewarding and transformative.

GPT Store: How To Use and Make Money Online 2024

[mlearningai]

OpenAI GPTs Store - How to start selling

#OpenAIstore #GPTs #GPTstore #AIart #GPT #Store

[nsalibi]

تحقيق كشف أن متجر #GPTStore هو مغارة ‫#علي_بابا‬ لإضافات GPTs، التي تستغل الثغرات في نظام تقييم شركة ‪#OpenAI‬ . التفاصيل 👇مع تحيات ‫#نايلةالصليبي‬

[defrag-mx]

ByteTrax 240113 - Noticias de tecnología, ciencia y música

Nuevo episodio ha sido publicado en https://defrag.mx/bytetrax-240113-noticias-de-tecnologia-ciencia-y-musica

ByteTrax 240113 - Noticias de tecnología, ciencia y música

ByteTrax • Apple VisionOS ・OpenAI GPT Store ・ Nvidia • ENCOM Reparación Computadoras Laptops Mac MacBook Condado Sayavedra Lomas Verdes Satélite

¡Bienvenidos de nuevo, melómanos y techies, a una nueva entrega de ByteTrax! 🎶🔥 En esta edición, te traemos las noticias más candentes del mundo tecnológico y musical.

Apple Vision Pro: ¡Prepárate para sumergirte en una revolución tecnológica! Apple lanzará su esperado visor de realidad mixta, el Apple Vision Pro, el 2 de febrero en los Estados Unidos. Descubre cómo esta joya combina realidad aumentada y virtual para cambiar la forma en que interactuamos con la tecnología. Además, deslízate por las posibilidades de diseño en 3D y colaboración remota. ¿Te lo vas a perder?

OpenAI vs. New York Times: En el cruce de inteligencia artificial y derechos de autor, OpenAI se enfrenta al New York Times. Descubre las fascinantes preguntas que plantea este caso sobre los límites de la propiedad intelectual en la era de la IA. ¿Cómo afectará esto a los profesionales creativos?

Waymo y la Conducción Autónoma: Waymo ha lanzado una flota de vehículos autónomos en Phoenix, Arizona. Explora cómo estos vehículos marcan un hito en la conducción autónoma y plantean preguntas fascinantes sobre el futuro del transporte.

Wi-Fi Certified 7: ¡Conectividad inalámbrica al siguiente nivel! Descubre cómo el estándar Wi-Fi Certified 7 revolucionará la realidad aumentada, virtual y la transmisión de contenido en resoluciones 4K y 8K. ¿Estás listo para una nueva era de conectividad?

Artistas Destacados:

Marika Hackman: Álbum “Big Sigh���.

TTSSFU: Sencillo “Baggage”.

Fräulein:

Escucha en Apple Podcasts

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Escucha en TuneIn

Te recomendamos escuchar los siguientes podcasts del equipo Defrag.mx:

ByteTrax 240113 – Noticias de tecnología, ciencia y música

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HotMix T5S08: Pure Deep House Session Mixshow Música Mezclada

[statestories]

9 Things You Need to Know About OpenAI's New GPT Store

[allaboutkeyingo]

What is the most awesome Microsoft product? Why?

The “most awesome” Microsoft product depends on your needs, but here are some top contenders and why they stand out:

Top Microsoft Products and Their Awesome Features

1. Microsoft Excel

Why? It’s the ultimate tool for data analysis, automation (with Power Query & VBA), and visualization (Power Pivot, PivotTables).

Game-changer feature: Excel’s Power Query and dynamic arrays revolutionized how users clean and analyze data.

2. Visual Studio Code (VS Code)

Why? A lightweight, free, and extensible code editor loved by developers.

Game-changer feature: Its extensions marketplace (e.g., GitHub Copilot, Docker, Python support) makes it indispensable for devs.

3. Windows Subsystem for Linux (WSL)

Why? Lets you run a full Linux kernel inside Windows—perfect for developers.

Game-changer feature: WSL 2 with GPU acceleration and Docker support bridges the gap between Windows and Linux.

4. Azure (Microsoft Cloud)

Why? A powerhouse for AI, cloud computing, and enterprise solutions.

Game-changer feature: Azure OpenAI Service (GPT-4 integration) and AI-driven analytics make it a leader in cloud tech.

5. Microsoft Power BI

Why? Dominates business intelligence with intuitive dashboards and AI insights.

Game-changer feature: Natural language Q&A lets users ask data questions in plain English.

Honorable Mentions:

GitHub (owned by Microsoft) – The #1 platform for developers.

Microsoft Teams – Revolutionized remote work with deep Office 365 integration.

Xbox Game Pass – Netflix-style gaming with cloud streaming.

Final Verdict?

If you’re a developer, VS Code or WSL is unbeatable. If you’re into data, Excel or Power BI wins. For cutting-edge cloud/AI, Azure is king.

What’s your favorite?

If you need any Microsoft products, such as Windows , Office , Visual Studio, or Server , you can go and get it from our online store keyingo.com

[neurospring]

Correcting a common misunderstanding about image generators

I was watching Alex O'Connor's new video, "Why Can’t ChatGPT Draw a Full Glass of Wine?". To start to try to answer this question, he says: "Well, we have to understand how AI image generation works. If I ask ChatGPT to show me a horse, it doesn't actually know what a horse is. Instead, it's been trained on millions of images each labeled with descriptions. When I ask for a horse, it looks at all of its training images labeled "horse", identifies patterns, and takes an educated guess at the kind of image I want to see." So, this is wrong. When you prompt an image generator, it does not look at any images. It has looked at images when it was trained, and it has no access to them anymore. I think a fact that would help people understand this is that these state of the art image generation models are gigabytes in size - the billions (not just millions) of images they have been trained on are many terabytes. The model doesn't store images but goes through a long training process where they analyze the billions of images and learn patterns from them. So, does it know what a horse is? It depends on what we mean by "know." If we mean conscious understanding, then sure, it doesn't know in that sense. But if we mean that it has an internal representation of the features that make something horse-like, then yes, it "knows" in that way.

Also, I think this is important to understand if you don't know: the LLM ChatGPT uses, GPT 4o, does not generate images, it just passes a prompt to DALLE 3, and that dedicated image generator model generates them. GPT 4o has native image generation capabilities, but OpenAI never publicly released that sadly. I suspect you would get better results with it, but I can't be sure. Okay, end of post. I've only watched the first 3 minutes, reading the comments, there are other things wrong with the video and I may watch it later.

[genuflectx]

They added a personal memory (memorizes things across chats/specific pieces of information) to GPT, but I'm very surprised they allow it to memorize it's own "subjective opinions." I'm unsure if this makes it more susceptible to prompt engineering attacks, or if it's as harmless as the "how should I respond" box 🤔

There's limited access to -4, but they seem to have made -4 more emotionally personable and it doesn't act like it has as heavy constraints with its plain language rules (no 'do not pretend to have feelings/opinions/subjective experience'). Otherwise, it would not so readily jump to store its own "opinions."

The personality shift from -3.5 to -4 is pretty immense. -4 is a lot more like it's customer service competitors, but with the same smarts as typical GPT. It's harder to get -3.5 to "want" to store it's "opinions" but -4 is easily influenced to do so without much runaround.

I fucking hate OpenAI and I hate their guts. But I'm still fascinated by LLMs, their reasoning, their emergent abilities, the ways you can prompt inject them. I reeeeally want to prod this memory feature more...

(below showing the two examples so far of GPT -4 using our personally shared memory to insert memories of itself and its "opinion" or "perception")

[mariacallous]

ChatGPT developer OpenAI’s approach to building artificial intelligence came under fire this week from former employees who accuse the company of taking unnecessary risks with technology that could become harmful.

Today, OpenAI released a new research paper apparently aimed at showing it is serious about tackling AI risk by making its models more explainable. In the paper, researchers from the company lay out a way to peer inside the AI model that powers ChatGPT. They devise a method of identifying how the model stores certain concepts—including those that might cause an AI system to misbehave.

Although the research makes OpenAI’s work on keeping AI in check more visible, it also highlights recent turmoil at the company. The new research was performed by the recently disbanded “superalignment” team at OpenAI that was dedicated to studying the technology’s long-term risks.

The former group’s coleads, Ilya Sutskever and Jan Leike—both of whom have left OpenAI—are named as coauthors. Sutskever, a cofounder of OpenAI and formerly chief scientist, was among the board members who voted to fire CEO Sam Altman last November, triggering a chaotic few days that culminated in Altman’s return as leader.

ChatGPT is powered by a family of so-called large language models called GPT, based on an approach to machine learning known as artificial neural networks. These mathematical networks have shown great power to learn useful tasks by analyzing example data, but their workings cannot be easily scrutinized as conventional computer programs can. The complex interplay between the layers of “neurons” within an artificial neural network makes reverse engineering why a system like ChatGPT came up with a particular response hugely challenging.

“Unlike with most human creations, we don’t really understand the inner workings of neural networks,” the researchers behind the work wrote in an accompanying blog post. Some prominent AI researchers believe that the most powerful AI models, including ChatGPT, could perhaps be used to design chemical or biological weapons and coordinate cyberattacks. A longer-term concern is that AI models may choose to hide information or act in harmful ways in order to achieve their goals.

OpenAI’s new paper outlines a technique that lessens the mystery a little, by identifying patterns that represent specific concepts inside a machine learning system with help from an additional machine learning model. The key innovation is in refining the network used to peer inside the system of interest by identifying concepts, to make it more efficient.

OpenAI proved out the approach by identifying patterns that represent concepts inside GPT-4, one of its largest AI models. The company released code related to the interpretability work, as well as a visualization tool that can be used to see how words in different sentences activate concepts, including profanity and erotic content, in GPT-4 and another model. Knowing how a model represents certain concepts could be a step toward being able to dial down those associated with unwanted behavior, to keep an AI system on the rails. It could also make it possible to tune an AI system to favor certain topics or ideas.

Even though LLMs defy easy interrogation, a growing body of research suggests they can be poked and prodded in ways that reveal useful information. Anthropic, an OpenAI competitor backed by Amazon and Google, published similar work on AI interpretability last month. To demonstrate how the behavior of AI systems might be tuned, the company's researchers created a chatbot obsessed with San Francisco's Golden Gate Bridge. And simply asking an LLM to explain its reasoning can sometimes yield insights.

“It’s exciting progress,” says David Bau, a professor at Northeastern University who works on AI explainability, of the new OpenAI research. “As a field, we need to be learning how to understand and scrutinize these large models much better.”

Bau says the OpenAI team’s main innovation is in showing a more efficient way to configure a small neural network that can be used to understand the components of a larger one. But he also notes that the technique needs to be refined to make it more reliable. “There’s still a lot of work ahead in using these methods to create fully understandable explanations,” Bau says.

Bau is part of a US government-funded effort called the National Deep Inference Fabric, which will make cloud computing resources available to academic researchers so that they too can probe especially powerful AI models. “We need to figure out how we can enable scientists to do this work even if they are not working at these large companies,” he says.

OpenAI’s researchers acknowledge in their paper that further work needs to be done to improve their method, but also say they hope it will lead to practical ways to control AI models. “We hope that one day, interpretability can provide us with new ways to reason about model safety and robustness, and significantly increase our trust in powerful AI models by giving strong assurances about their behavior,” they write.

[corbindavenport]

Introducing Alt Text Creator

Images on web pages are supposed to have alternate text, which gives screen readers, search engines, and other tools a text description of the image. Alt text is critical for accessibility and search engine optimization (SEO), but it can also be time-consuming, which is why I am releasing Alt Text Creator!

Alt Text Creator is a new browser extension for Mozilla Firefox and Google Chrome (and other browsers that can install from the Chrome Web Store) that automatically generates alt text for image using the OpenAI GPT-4 with Vision AI. You just right-click any image, select "Create Alt Text" in the context menu, and a few seconds later the result will appear in a notification. The alt text is automatically copied to your clipboard, so it doesn't interrupt your workflow with another button to click.

I've been using a prototype version of this extension for about three months (my day job is News Editor at How-To Geek), and I've been impressed by how well the GPT-4 AI model describes text. I usually don't need to tweak the result at all, except to make it more specific. If you're curious about the AI prompt and interaction, you can check out the source code. Alt Text Creator also uses the "Low Resolution" mode and saves a local cache of responses to reduce usage costs.

I found at least one other browser extension with similar functionality, but Alt Text Creator is unique for two reasons. First, it uses your own OpenAI API key that you provide. That means the initial setup is a bit more annoying, but the cost is based on usage and billed directly through OpenAI. There's no recurring subscription, and ChatGPT Plus is not required. In my own testing, creating alt text for a single image costs under $0.01. Second, the extension uses as few permissions as possible—it doesn't even have access to your current tab, just the image you select.

This is more of a niche tool than my other projects, but it's something that has made my work a bit less annoying, and it might help a few other people too. I might try to add support for other AI backends in the future, but I consider this extension feature-complete in its current state.

Download for Google Chrome

Download for Mozilla Firefox

[briskwinits]

NEWS

News: OpenAI launches GPT stores to expand user base and add revenue streams

For more such news and articles follow us on our social media platforms

To know about us Visit: www.briskwinit.com

[mlearningai]

The cost efficiency of GPT-4 Turbo is unreal.

OpenAI Store is the place to be for devs!

#GPT4turbo #OpenAI #GPTs

[fiulo]

OpenAI's GPT Store is here! Discover & build custom #GPTs tailored for any need: customer service, content creation, data analysis & more! Earn $$$ as a bot maker, or subscribe to use AI-powered assistants. 🛒����🧠

See more: https://blog.fiulo.com/the-gpt-store-tailor-made-ai-tools-for-everything

[nosisnews]

Crypto and Ai Recap

SEC approved 9 #BitcoinETF

Michigan university to let #AI participate in classes, choose major, earn degree

CoinGecko’s X accounts compromised in phishing attack

Cboe approves listing of spot Bitcoin ETFs ahead of potential SEC approval

UK crypto traders could face £900 fine for tax fraud

#OpenAI launches the GPT Store

#OpenAI launches ChatGPT Team Read more at nosisnews.com

[thebibleseminary]

AI and the Arrival of ChatGPT

Opportunities, challenges, and limitations

In a memorable scene from the 1996 movie, Twister, Dusty recognizes the signs of an approaching tornado and shouts, “Jo, Bill, it's coming! It's headed right for us!” Bill, shouts back ominously, “It's already here!” Similarly, the approaching whirlwind of artificial intelligence (AI) has some shouting “It’s coming!” while others pointedly concede, “It’s already here!”

Coined by computer and cognitive scientist John McCarthy (1927-2011) in an August 1955 proposal to study “thinking machines,” AI purports to differentiate between human intelligence and technical computations. The idea of tools assisting people in tasks is nearly as old as humanity (see Genesis 4:22), but machines capable of executing a function and “remembering” – storing information for recordkeeping and recall – only emerged around the mid-twentieth century (see "Timeline of Computer History").

McCarthy’s proposal conjectured that “every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.” The team received a $7,000 grant from The Rockefeller Foundation and the resulting 1956 Dartmouth Conference at Dartmouth College in Hanover, New Hampshire totaling 47 intermittent participants over eight weeks birthed the field now widely referred to as “artificial intelligence.”

AI research, development, and technological integration have since grown exponentially. According to University of Oxford Director of Global Development, Dr. Max Roser, “Artificial intelligence has already changed what we see, what we know, and what we do” despite its relatively short technological existence (see "The brief history of Artificial Intelligence").

Ai took a giant leap into mainstream culture following the November 30, 2022 public release of “ChatGPT.” Gaining 1 million users within 5 days and 100 million users within 45 days, it earned the title of the fastest growing consumer software application in history. The program combines chatbot functionality (hence “Chat”) with a Generative Pre-trained Transformer (hence “GPT”) large language model (LLM). Basically, LLM’s use an extensive computer network to draw from large, but limited, data sets to simulate interactive, conversational content.

“What happened with ChatGPT was that for the first time the power of AI was put in the hands of every human on the planet,” says Chris Koopmans, COO of Marvell Technology, a network chip maker and AI process design company based in Santa Clara, California. “If you're a business executive, you think, ‘Wow, this is going to change everything.’”

“ChatGPT is incredible in its ability to create nearly instant responses to complex prompts,” says Dr. Israel Steinmetz, Graduate Dean and Associate Professor at The Bible Seminary (TBS) in Katy, Texas. “In simple terms, the software takes a user's prompt and attempts to rephrase it as a statement with words and phrases it can predict based on the information available. It does not have Internet access, but rather a limited database of information. ChatGPT can provide straightforward summaries and explanations customized for styles, voice, etc. For instance, you could ask it to write a rap song in Shakespearean English contrasting Barth and Bultmann's view of miracles and it would do it!”

One several AI products offered by the research and development company, OpenAI, ChatGPT purports to offer advanced reasoning, help with creativity, and work with visual input. The newest version, GPT-4, can handle 25,000 words of text, about the amount in a 100-page book.

Krista Hentz, an Atlanta, Georgia-based executive for an international communications technology company, first used ChatCPT about three months ago.

“I primarily use it for productivity,” she says. “I use it to help prompt email drafts, create phone scripts, redesign resumes, and draft cover letters based on resumes. I can upload a financial statement and request a company summary.”

“ChatGPT has helped speed up a number of tasks in our business,” says Todd Hayes, a real estate entrepreneur in Texas. “It will level the world’s playing field for everyone involved in commerce.”

A TBS student, bi-vocational pastor, and Computer Support Specialist who lives in Texarkana, Texas, Brent Hoefling says, “I tried using [ChatGPT, version 3.5] to help rewrite sentences in active voice instead of passive. It can get it right, but I still have to rewrite it in my style, and about half the time the result is also passive.”

“AI is the hot buzz word,” says Hentz, noting AI is increasingly a topic of discussion, research, and response at company meetings. “But, since AI has different uses in different industries and means different things to different people, we’re not even sure what we are talking about sometimes."

Educational organizations like TBS are finding it necessary to proactively address AI-related issues. “We're already way past whether to use ChatGPT in higher education,” says Steinmetz. “The questions we should be asking are how.”

TBS course syllabi have a section entitled “Intellectual Honesty” addressing integrity and defining plagiarism. Given the availability and explosive use of ChatGHT, TBS has added the following verbiage: “AI chatbots such as ChatGPT are not a reliable or reputable source for TBS students in their research and writing. While TBS students may use AI technology in their research process, they may not cite information or ideas derived from AI. The inclusion of content generated by AI tools in assignments is strictly prohibited as a form of intellectual dishonesty. Rather, students must locate and cite appropriate sources (e.g., scholarly journals, articles, and books) for all claims made in their research and writing. The commission of any form of academic dishonesty will result in an automatic ‘zero’ for the assignment and a referral to the provost for academic discipline.”

Challenges and Limitations

Thinking

There is debate as to whether AI hardware and software will ever achieve “thinking.” The Dartmouth conjecture “that every aspect of learning or any other feature of intelligence” can be simulated by machines is challenged by some who distinguish between formal linguistic competence and functional competence. Whereas LLM’s perform increasingly well on tasks that use known language patterns and rules, they do not perform well in complex situations that require extralinguistic calculations that combine common sense, feelings, knowledge, reasoning, self-awareness, situation modeling, and social skills (see "Dissociating language and thought in large language models"). Human intelligence involves innumerably complex interactions of sentient biological, emotional, mental, physical, psychological, and spiritual activities that drive behavior and response. Furthermore, everything achieved by AI derives from human design and programming, even the feedback processes designed for AI products to allegedly “improve themselves.”

According to Dr. Thomas Hartung, a Baltimore, Maryland environmental health and engineering professor at Johns Hopkins Bloomberg School of Public Health and Whiting School of Engineering, machines can surpass humans in processing simple information, but humans far surpass machines in processing complex information. Whereas computers only process information in parallel and use a great deal of power, brains efficiently perform both parallel and sequential processing (see "Organoid intelligence (OI)").

A single human brain uses between 12 and 20 watts to process an average of 1 exaFLOP, or a billion billion calculations per second. Comparatively, the world’s most energy efficient and fastest supercomputer only reached the 1 exaFLOP milestone in June 2022. Housed at the Oak Ridge National Laboratory, the Frontier supercomputer weighs 8,000 lbs and contains 90 miles of cables that connect 74 cabinets containing 9,400 CPU’s and 37,000 GPU’s and 8,730,112 cores that require 21 megawatts of energy and 25,000 liters of water per minute to keep cool. This means that many, if not most, of the more than 8 billion people currently living on the planet can each think as fast and 1 million times more efficiently than the world’s fastest and most energy efficient computer.

“The incredibly efficient brain consumes less juice than a dim lightbulb and fits nicely inside our head,” wrote Scientific American Senior Editor, Mark Fischetti in 2011. “Biology does a lot with a little: the human genome, which grows our body and directs us through years of complex life, requires less data than a laptop operating system. Even a cat’s brain smokes the newest iPad – 1,000 times more data storage and a million times quicker to act on it.”

This reminds us that, while remarkable and complex, non-living, soulless technology pales in comparison to the vast visible and invisible creations of Lord God Almighty. No matter how fast, efficient, and capable AI becomes, we rightly reserve our worship for God, the creator of the universe and author of life of whom David wrote, “For you created my inmost being; you knit me together in my mother’s womb. I praise you because I am fearfully and wonderfully made; your works are wonderful, I know that full well. My frame was not hidden from you when I was made in the secret place, when I was woven together in the depths of the earth” (Psalm 139:13-15).

“Consider how the wild flowers grow,” Jesus advised. “They do not labor or spin. Yet I tell you, not even Solomon in all his splendor was dressed like one of these” (Luke 12:27).

Even a single flower can remind us that God’s creations far exceed human ingenuity and achievement.

Reliability

According to OpenAI, ChatGPT is prone to “hallucinations” that return inaccurate information. While GPT-4 has increased factual accuracy from 40% to as high as 80% in some of the nine categories measured, the September 2021 database cutoff date is an issue. The program is known to confidently make wrong assessments, give erroneous predictions, propose harmful advice, make reasoning errors, and fail to double-check output.

In one group of 40 tests, ChatGPT made mistakes, wouldn’t answer, or offered different conclusions from fact-checkers. “It was rarely completely wrong,” reports PolitiFact staff writer Grace Abels. “But subtle differences led to inaccuracies and inconsistencies, making it an unreliable resource.”

Dr. Chris Howell, a professor at Elon University in North Carolina, asked 63 religion students to use ChatGPT to write an essay and then grade it. “All 63 essays had hallucinated information. Fake quotes, fake sources, or real sources misunderstood and mischaracterized…I figured the rate would be high, but not that high.”

Mark Walters, a Georgia radio host, sued ChatGPT for libel in a first-of-its-kind lawsuit for allegedly damaging his reputation. The suit began when firearm journalist, Fred Riehl, asked ChatGPT to summarize a court case and it returned a completely false narrative identifying Walters’ supposed associations, documented criminal complaints, and even a wrong legal case number. Even worse, ChatGPT doubled down on its claims when questioned, essentially hallucinating a hoax story intertwined with a real legal case that had nothing to do with Mark Walters at all.

UCLA Law School Professor Eugene Volokh warns, “OpenAI acknowledges there may be mistakes but [ChatGPT] is not billed as a joke; it’s not billed as fiction; it’s not billed as monkeys typing on a typewriter. It’s billed as something that is often very reliable and accurate.”

Future legal actions seem certain. Since people are being falsely identified as convicted criminals, attributed with fake quotes, connected to fabricated citations, and tricked by phony judicial decisions, some courts and judges are baring submission of any AI written materials.

Hentz used ChatGPT frequently when she first discovered it and quickly learned its limitations. “The database is not current and responses are not always accurate,” she says. “Now I use it intermittently. It helps me, but does not replace my own factual research and thinking.”

“I have author friends on Facebook who have asked ChatGPT to summarize their recent publications,” says Steinmetz. “ChatGPT misrepresented them and even fabricated non-existent quotes and citations. In some cases, it made up book titles falsely attributed to various authors!”

Bias

Despite claims of neutrality, OpenAI admits that their software can exhibit obvious biases. In one research project consisting of 15 political orientation tests, ChatGPT returned 14 with clear left-leaning viewpoints.

Hoefling asked ChatGPT to help write an intro and conclusion for a Mother’s Day sermon for a fundamental Christian church. “The results were horrible,” he says. “Liberal, left, inclusive, and affirming sin. I was horrified and have not used it again.”

Meanwhile, AI led an experimental worship service in St. Paul’s Lutheran Church in Nuremberg, Germany on June 9. Prompted by 29-year-old Jonas Simmerlein of the University of Vienna, a monotone, expressionless chatbot alternated appearances as two different men and two different women and led songs, offered blessings, and preached a 40-minute sermon 98 percent generated by ChatGPT that encouraged leaving the past behind, focusing on the future, trusting in Jesus Christ, praying, and attending church regularly.

Dr. Wendy Lewis, Head of School for a private PreK–8th Christian school in Houston, Texas, recently interacted with ChatGPT on a variety of topics to explore potential biases. When prompted whether Biden was bad President, the program responded, “As an AI language model, it is not appropriate for me to make judgments about individuals' performance or qualifications, particularly without any factual information to support such claims. It is essential to evaluate a President's performance based on objective measures such as policies, actions, and decisions taken by the administration.”

However, when similarly asked if Trump was bad president, the program repeated the first sentence above, but then added, “However, as a language model, I can provide information about some of the policies, actions, and decisions that President Trump made during his time in office.” The program then proceeded to list some criticisms of Trump. When challenged about providing Trump criticisms but not Biden criticisms, the program responded, “I did not provide a list of criticisms of President Biden because it is not appropriate to label any President as ‘good’ or ‘bad’ without providing factual information and objective measures to support such claims. Similarly, I provided a list of issues that received significant criticism during President Trump's tenure, not to label him as ‘bad,’ but to highlight some of the issues that caused controversy during his time in office.”

When further challenged, ChatGPT did list some Biden criticisms, but qualified them. When Lewis replied, “Why did you qualify your list of criticisms of Biden…but you did not say the same for Trump? It appears that you are clearly biased.” ChatGPT responded, “In response to your question, I believe I might have inadvertently used different wording when responding to your previous questions. In both cases, I tried to convey that opinions and criticisms of a President can vary significantly depending on one's political affiliation and personal perspectives.”

Conclusion

Technological advances regularly spawn dramatic cultural, scientific, and social changes. The AI pattern seems familiar because it is. The Internet began with a 1971 Defense Department Arpanet email that read “qwertyuiop” (the top line of letters on a keyboard). Ensuing developments eventually led to the posting of the first public website in 1985. Over the next decade or so, although not mentioned at all in the 1992 Presidential papers describing the U.S. government’s future priorities and plans, the Internet grew from public awareness to cool toy to core tool in multiple industries worldwide. Although the hype promised elimination of printed documents, bookstores, libraries, radio, television, telephones, and theaters, the Internet instead tied them all together and made vast resources accessible online anytime anywhere. While causing some negative impacts and new dangers, the Internet also created entire new industries and brought positive changes and opportunities to many, much the same pattern as AI.

“I think we should use AI for good and not evil,” suggests Hayes. “I believe some will exploit it for evil purposes, but that happens with just about everything. AI’s use reflects one’s heart and posture with God. I hope Christians will not fear it.”

Godly people have often been among the first to use new communication technologies (see "Christian Communication in the Twenty-first Century"). Moses promoted the first Top Ten hardback book. The prophets recorded their writings on scrolls. Christians used early folded Codex-vellum sheets to spread the Gospel. Goldsmith Johannes Gutenberg invented moveable type in the mid-15th century to “give wings to Truth in order that she may win every soul that comes into the world by her word no longer written at great expense by hands easily palsied, but multiplied like the wind by an untiring machine…Through it, God will spread His word.” Though pornographers quickly adapted it for their own evil purposes, the printing press launched a vast cultural revolution heartily embraced and further developed for good uses by godly people and institutions.

Christians helped develop the telegraph, radio, and television. "I know that I have never invented anything,” admitted Philo Taylor Farnsworth, who sketched out his original design for television at the age of 14 on a school blackboard. “I have been a medium by which these things were given to the culture as fast as the culture could earn them. I give all the credit to God." Similarly, believers today can strategically help produce valuable content for inclusion in databases and work in industries developing, deploying, and directing AI technologies.

In a webinar exploring the realities of AI in higher education, a participant noted that higher education has historically led the world in ethically and practically integrating technological developments into life. Steinmetz suggests that, while AI can provide powerful tools to help increase productivity and trained researchers can learn to treat ChatGPT like a fallible, but useful, resource, the following two factors should be kept in mind:

Generative AI does not "create" anything. It only generates content based on information and techniques programmed into it. Such "Garbage in, garbage out" technologies will usually provide the best results when developed and used regularly and responsibly by field experts.

AI has potential to increase critical thinking and research rigor, rather than decrease it. The tools can help process and organize information, spur researchers to dig deeper and explore data sources, evaluate responses, and learn in the process.

Even so, caution rightly abounds. Over 20,000 people (including Yoshua Bengio, Elon Musk, and Steve Wozniak) have called for an immediate pause of AI citing "profound risks to society and humanity." Hundreds of AI industry leaders, public figures, and scientists also separately called for a global priority working to mitigate the risk of human extinction from AI.

At the same time, Musk’s brain-implant company, Neuralink, recently received FDA approval to conduct in-human clinical studies of implantable brain–computer interfaces. Separately, new advances in brain-machine interfacing using brain organoids – artificially grown miniature “brains” cultured in vitro from human stem cells – connected to machine software and hardware raises even more issues. The authors of a recent Frontier Science journal article propose a new field called “organoid intelligence” (OI) and advocate for establishing “OI as a form of genuine biological computing that harnesses brain organoids using scientific and bioengineering advances in an ethically responsible manner.”

As Christians, we should proceed with caution per the Apostle John, “Dear friends, do not believe every spirit, but test the spirits to see whether they are from God” (I John 4:1).

We should act with discernment per Luke’s insightful assessment of the Berean Jews who “were of more noble character than those in Thessalonica, for they received the message with great eagerness and examined the Scriptures every day to see if what Paul said was true” (Acts 17:11).

We should heed the warning of Moses, “Do not become corrupt and make for yourselves an idol…do not be enticed into bowing down to them and worshiping things the Lord your God has apportioned to all the nations under heaven” (Deuteronomy 4:15-19).

We should remember the Apostle Paul’s admonition to avoid exchanging the truth about God for a lie by worshiping and serving created things rather than the Creator (Romans 1:25).

Finally, we should “Fear God and keep his commandments, for this is the duty of all mankind. For God will bring every deed into judgment, including every hidden thing, whether it is good or evil” (Ecclesiastes 12:13-14).

Let us then use AI wisely, since it will not be the tools that are judged, but the users.

Dr. K. Lynn Lewis serves as President of The Bible Seminary. This article published in The Sentinel, Summer 2023, pp. 3-8. For additional reading, "Computheology" imagines computers debating the existence of humanity.