#gemini vs chatgpt vs copilot

[casperlawrence]

The world of AI is abuzz with excitement as cutting-edge language models continue to push the boundaries of what's possible. Three of the most prominent contenders in this race are Google's Gemini, OpenAI's ChatGPT, and Microsoft's Copilot. Each offers unique strengths and weaknesses, making the choice of the best AI assistant a matter of personal preference and specific needs.

Discover the latest advancements in AI with a comprehensive comparison of Gemini vs ChatGPT vs CoPilot. Learn about their strengths, weaknesses, and real-world applications.

[zeroz2ro]

Na, hát ez a kísérlet elég érdekes eredményre futott ki :-) Gemini vs. Copilot vs. ChatGPT

[evartology]

Every week on Friday, I navigate the AI chatter fog.

I highlight what counts in AI-enhanced creativity. See the week's top innovations, ranked by their impact. Stay ahead and boost your creativity.

1️⃣ Gemini 2.0 Flash Thinking - AI 2025 by Google

2️⃣ Github Copilot Free + 3.5 Sonnet or GPT-4o

3️⃣ eleven_flash_v2 -generates speech in 75ms

4️⃣ Midjourney Moodboard Personalisation

5️⃣ ChatGPT app – Work with VS Code

6️⃣ Kling AI latest 1.6 model

7️⃣ Tldraw Computer

8️⃣ Cursor Yolo

[yayroos]

i think the thing i need people to understand most about generative AI (chatGPT, google gemini, ms copilot, all the image and video generating models) is that there is NO DIFFERENCE in the underlying generation process between a result that is 'true' or looks 'real' or whatever, and a complete garbage 'hallucination' - every single thing it spits out is pulled from a statistical model of what goes here/what comes next. It contains no knowledge, no choice, no agency, and definitely no concept of actual information vs hallucination because they come from the same process.

Everything it produces is a hallucination, sometimes it just hallucinates something that happens to match the real world, like when you have a perfectly accurate dream of a day at school or work vs when you have a nonsense dream that morphs from scene to scene at random and you can fly. Neither dream is real, and neither dream should be relied upon. Same goes.

Use a real search engine.

[globsynbusinessschool]

ChatGPT vs. Gemini vs. Copilot

The rise of AI chatbots has been fast, with more options becoming available to users. These bots are becoming a regular part of the software and devices we use every day.

Just like choosing an email provider or music app, you can now pick your favorite AI chatbot too. We’ve tested three of the most popular ones to help you decide which might be right for you.

Aside from these, there are others like Perplexity and Claude, but our focus here is on the biggest names: OpenAI's ChatGPT, Google's Gemini, and Microsoft’s Copilot.

We’ve tested each bot and included three standard challenges for evaluation. We asked for "a fun game idea for a 5-year-old’s birthday party," "a new smartphone app concept," and "instructions for resetting macOS."

In this blog, we're comparing the free versions of these chatbots available at the time of writing.

Which One Is Best for Regular Users? ChatGPT or Gemini or Copilot

 ChatGPT powered by OpenAI

ChatGPT, developed by OpenAI, has been a leader in generative AI. It's widely accessible through web browsers on computers and mobile apps for Android and iOS. The platform has made headlines recently with announcements from OpenAI, including updates on their latest models and features.

There's a significant difference between the free and $20-per-month Plus versions of ChatGPT. The Plus version offers extra features like image generation and document scanning. Subscribers can also create their own GPTs with custom prompts and data. OpenAI's CEO, Sam Altman has mentioned that these enhancements are part of their strategy to democratize AI.

ChatGPT Plus provides access to the latest GPT-4 models, whereas the free GPT-3.5 is good for basic AI interactions. It's quick and versatile but lacks web link references like Copilot for fact-checking. The open AI search engine, one of the key initiatives, helps improve the platform's information processing capabilities.

Choosing ChatGPT is ideal for those interested in cutting-edge AI development. However, it's more effective with a paid subscription rather than on a budget. Apple's involvement with OpenAI has also fueled further interest in the platform.

In testing, ChatGPT performed reasonably well. It suggested a themed musical statues game for kids and a health-focused smartphone app named FitTrack.

Gemini powered by Google

Formerly known as Google Bard, Gemini is available as a web app and on Android and iOS. There are free and paid ($20 per month) plans.

Paying for Gemini gets you access to newer, smarter models. The interface resembles ChatGPT, and it integrates well with other Google services.

Gemini is suited for Google product users. It provided sensible responses to our challenges and suggested a neighborhood item-sharing app and a twist on the classic party game.

Copilot powered by Microsoft

Copilot is integrated into many Microsoft products like Bing and Windows. It’s available as a web app and mobile app.

Copilot uses Microsoft’s Bing search engine and often provides web links with citations. It's conversational and offers various text output settings.

The AI behind Copilot is OpenAI’s GPT-4, with different settings for text output: More Creative, More Balanced, and More Precise.

Copilot suggested "What’s the Time, Mr. Wolf?" for the kids' game and a virtual interior design app for smartphones. Its macOS reset instructions were accurate and cited from Apple’s support site.

If you use Microsoft products heavily, Copilot is a natural choice. It excels at referencing web information and providing clear citations.

In conclusion, all three—ChatGPT, Gemini, and Copilot —can be used for free, allowing you to choose based on your preferences. Copilot offers the most AI features without payment, ChatGPT is highly competent with a subscription, and Gemini is ideal for Google fans.

Frequently Asked Questions (FAQs)

How Do Chatbots Understand Language Differently Than a Programming Language?

Chatbots and programming languages are different in how they understand language.

Programming languages like Python or Java are structured and strict. They need exact commands and follow clear rules to work. If you make a mistake, the program won't function correctly.

Chatbots, on the other hand, are designed to interpret human language. They use techniques like Natural Language Processing (NLP) to understand words, phrases, and even context. This allows them to grasp the meaning behind what people say, even if the words are not in a set pattern.

A chatbot can recognize synonyms (different words with similar meanings), understand the intent behind a sentence, and learn from the interactions it has with users. This flexibility is what sets chatbots apart from programming languages, which rely on strict instructions to perform tasks.

What Does the Generative AI Ecosystem Refer to?

The term "generative AI ecosystem" refers to a network of technologies, tools, and methodologies that use artificial intelligence (AI) to create or generate content autonomously. This ecosystem encompasses various AI models and algorithms designed to produce new and unique outputs based on learned patterns and data.

In simpler terms, generative AI involves systems that can generate things like text, images, music, or even video without direct human input for each specific output. These systems learn from large datasets and then use that knowledge to create new content that resembles what they've been trained on.

This ecosystem includes a range of technologies such as language models (like GPT), image generators (like DALL-E), and music composers that are able to produce content that is novel and, in many cases, convincingly human-like. The ultimate goal of the generative AI ecosystem is to automate and enhance creative processes across various domains, potentially transforming how we create and interact with digital content.

[rankingdigitally]

GEO vs. AEO vs. SEO: The 2025 Digital Strategy Breakdown Your Business Can’t Ignore

GEO (Generative Engine Optimization) is a powerful content optimization strategy to improve your content’s visibility for AI-driven answer engines like Search GPT, Bard, Copilot, etc. It ensures your content is precise and properly structured as per the audience’s queries. This helps AI-driven answer engines (ChatGPT, Google Gemini, Perplexity, etc.) to retrieve the information easily and feature it in direct response results. This boosts your website’s visibility and engagement.

Read More:- https://rankingdigitally.com/geo-vs-aeo-vs-seo-the-2025-digital-strategy-breakdown-your-business-cant-ignore/

[maquilanews]

Revoluciona la IA el futuro de las búsquedas en internet

CIUDAD DE MÉXICO.-  En la mayor cita de tecnología móvil del mundo, que fue la última edición del Mobile World Congress de Barcelona, la inteligencia artificial generativa se posiciona como el nuevo campo de batalla en la industria de los motores de búsqueda. Gigantes tecnológicos como Google, Microsoft y OpenAI compiten por dominar la próxima generación de búsquedas en internet, donde la IA promete revolucionar la forma en que accedemos a la información. La búsqueda tradicional basada en palabras clave está evolucionando hacia modelos conversacionales más avanzados. Herramientas como Google Gemini, ChatGPT con búsqueda avanzada y Copilot de Microsoft ya han comenzado a reemplazar las listas de enlaces por respuestas directas, más personalizadas y en contexto. Seg��n un informe de Gartner, para 2026, más del 40% de las consultas en internet se realizarán a través de asistentes de IA en lugar de motores de búsqueda tradicionales. Además, se prevé que el mercado global de IA aplicada a motores de búsqueda alcance los 150 mil  millones de dólares en 2027, con una tasa de crecimiento anual del 18%, de acuerdo al pronóstico de IDC. Este auge se refleja en la inversión masiva de empresas tecnológicas: Google ha destinado 100 mil millones de dólares al desarrollo de IA en su buscador, mientras que Microsoft ha invertido 13 mil millones en OpenAI. Google vs. Microsoft vs. OpenAI: los contendientes principales Google, con una cuota del 91.6% del mercado de búsquedas (StatCounter, 2024), ha integrado IA generativa en su buscador con Gemini, mejorando los resultados y generando respuestas adaptadas a cada usuario. Por su parte, Microsoft, con Bing y su alianza con OpenAI, ha logrado un crecimiento del 10% en usuarios activos tras integrar ChatGPT en su plataforma (Microsoft, 2024). OpenAI, con su modelo GPT-5, busca desafiar a los motores tradicionales ofreciendo una búsqueda basada en IA sin depender de enlaces, generando resultados estructurados y conversacionales. El Mobile World Congress 2025 ha sido el escenario donde estas empresas han presentado sus innovaciones en IA aplicada a la búsqueda. Microsoft ha anunciado la integración de IA en Azure Cognitive Search, mientras que Google reveló una versión más avanzada de Search Generative Experience (SGE), optimizada para dispositivos móviles. El papel del Agentic AI, presente y futuro de las comunicaciones autónomas Los chatbots de IA utilizan IA generativa para ofrecer respuestas basadas en una única interacción. Una persona hace una consulta y el chatbot utiliza el procesamiento del lenguaje natural para responder. La próxima frontera de la inteligencia artificial es la IA agéntica o Agentic AI, como se la conoce en inglés, que utiliza el razonamiento sofisticado y la planificación iterativa para resolver de forma autónoma problemas complejos de varios pasos. Y está llamada a mejorar la productividad y las operaciones en todos los sectores. Las aplicaciones potenciales de la IA agéntica son enormes y solo están limitadas por la creatividad y la experiencia. Desde tareas sencillas como la generación y distribución de contenidos hasta casos de uso más complejos como la orquestación de software empresarial, los agentes de IA están transformando las industrias. Un agente de IA para atención al cliente, por ejemplo, podría ir más allá de la simple respuesta a preguntas. Con la Agentic AI, podría comprobar el saldo pendiente de un usuario y recomendar qué cuentas podrían pagarlo, todo ello mientras espera a que el usuario tome una decisión para poder completar la transacción, en consecuencia cuando se le solicite. En lo que hace a atención al cliente, se mejoran las capacidades de autoservicio y la automatización de las comunicaciones rutinarias.  En el contexto actual de la inteligencia artificial, es fundamental diferenciar entre la IA Agéntica (Agentic AI) y la IA Generativa (GenAI). Mientras que la GenAI se enfoca en la creación de contenido y generación de respuestas basadas en grandes volúmenes de datos, la IA Agéntica va un paso más allá al tomar decisiones autónomas y ejecutar acciones basadas en objetivos específicos.  En este ecosistema, el papel de las telecomunicaciones es clave, ya que proporcionan la infraestructura necesaria para procesar grandes cantidades de datos en tiempo real, garantizar la conectividad de los agentes de IA y habilitar soluciones avanzadas en la nube y en el edge computing. La evolución de las redes 5G y la baja latencia serán determinantes para impulsar esta nueva generación de IA que no solo responde, sino que actúa de manera inteligente y estratégica. Read the full article

[whichaiisbest]

ChatGPT vs. Gemini vs. Copilot vs. Deepseek: Which AI is Best?

Artificial Intelligence (AI) chatbots and assistants are revolutionizing the way we interact with technology. Among the top contenders in this field are ChatGPT, Gemini, Copilot, and Deepseek. But which one is the best for your needs?  Read more..

[testrigtechnologies]

AI-Powered Development: Boosting Productivity for Coders and Testers

The software development landscape is undergoing a radical transformation, driven by artificial intelligence (AI). From automating repetitive coding tasks to enhancing test coverage, AI is reshaping how developers and testers work—making them faster, more efficient, and more innovative.

But what does AI-powered development really mean? How can coders and testers leverage AI to maximize productivity? And what are the risks and challenges?

In this deep dive, we’ll explore how AI is revolutionizing software development, the tools leading the charge, and best practices for integrating AI into your workflow.

1. How AI is Transforming Coding

a) AI-Assisted Code Generation

Tools like GitHub Copilot, Amazon CodeWhisperer, and Tabnine use large language models (LLMs) to suggest code snippets, complete functions, and even generate entire modules based on natural language prompts.

Pros:

Reduces boilerplate code writing.

Speeds up prototyping.

Helps junior developers learn best practices.

Cons:

May produce insecure or inefficient code.

Over-reliance can hinder deep understanding.

b) AI-Powered Debugging & Optimization

AI can analyze code for bugs, performance bottlenecks, and security vulnerabilities. Tools like DeepCode (now Snyk Code) and SonarQube use machine learning to detect anomalies.

Example:

AI can predict memory leaks in C++ or race conditions in multi-threaded applications.

c) Natural Language to Code

With models like OpenAI’s ChatGPT and Google’s Gemini, developers can describe what they need in plain English, and the AI generates executable code.

Use Case:

A developer asks, "Create a Python function to fetch stock prices using Yahoo Finance API," and the AI writes the code.

2. AI in Software Testing: Smarter, Faster, More Reliable

a) Automated Test Case Generation

AI tools like Testim, Applitools, and Mabl can:

Auto-generate test cases based on user behavior.

Identify edge cases humans might miss.

Self-heal tests when UI elements change.

b) Visual & Regression Testing

AI-powered visual testing tools (e.g., Percy, Applitools) compare screenshots pixel-by-pixel to detect UI bugs.

Example:

If a button moves 2 pixels to the right, AI flags it—even if functional tests pass.

c) Predictive Test Selection

Instead of running all tests, AI predicts which tests are most likely to fail based on code changes (used by Google’s CI system).

3. The Future: AI-Driven DevOps & MLOps

AI is not just helping with coding and testing—it’s optimizing the entire software lifecycle:

AI in CI/CD Pipelines:

Auto-trigger builds based on risk assessment.

Optimize test suites to reduce execution time.

AI in Incident Management:

Tools like PagerDuty use AI to correlate logs and predict outages.

4. Challenges & Ethical Considerations

While AI boosts productivity, it comes with risks:

Bias in AI Models:

If trained on flawed code, AI may propagate bad practices.

Security Risks:

AI-generated code could introduce vulnerabilities.

Job Impact:

Will AI replace developers? Unlikely—but it will change their roles.

5. Best Practices for Adopting AI in Development

Use AI as a Pair Programmer, Not a Replacement – Review AI-generated code critically.

Focus on Upskilling – Learn how AI works to better control its outputs.

Combine AI with Traditional Testing – Don’t rely solely on AI for test coverage.

Monitor AI’s Impact – Track productivity gains vs. risks.

Conclusion

AI-powered development is not a distant future—it’s here. Developers and testers who embrace AI tools will see massive productivity gains, while those who ignore them risk falling behind.

However, AI is a tool, not a magic wand. The best outcomes come from combining AI’s speed with human expertise—leading to faster, smarter, and more reliable software development.

Are you already using AI in your API testing workflow? Share your experiences in the comments! Or connect with a leading AI automation testing company to explore how AI-powered testing solutions can elevate your API quality. Reach out today!

[aryan07712]

Elon Musk’s Grok 3 AI Model: Will It Replace Software Engineers?

Elon Musk's latest innovation, Grok 3 AI, is making headlines in the tech world. This advanced AI model, developed by xAI, is being compared to leading AI chatbots like ChatGPT and Google Gemini. With its advanced reasoning capabilities, real-time internet access, and potential impact on various industries, many are wondering: Is Grok 3 better than ChatGPT? And more importantly, will AI jobs be at risk due to Grok 3?

Let’s dive into the Grok 3 features explained and explore whether this AI could replace software engineers in the future.

What Is Grok 3 AI?

🚀 Grok 3 AI is the latest artificial intelligence chatbot developed by Elon Musk’s xAI. It is integrated with X (formerly Twitter), allowing it to provide real-time responses based on the latest information available on the internet. Unlike its competitors, Grok 3 AI is designed to be witty, humorous, and less censored, aligning with Musk’s vision of a free-thinking AI.

🔹 Key Highlights of Grok 3 AI: ✅ Real-time internet access for up-to-date responses ✅ Advanced reasoning and problem-solving skills ✅ Integration with X (Twitter) for social media interactions ✅ Open-source AI model competing with proprietary models like ChatGPT

With these features, Grok 3 AI vs. ChatGPT has become a major debate among AI enthusiasts and professionals.

Grok 3 AI vs. ChatGPT – Which One Is Better?

The big question in the AI community is: Is Grok 3 better than ChatGPT? Let’s compare them based on some key factors:

Feature

Grok 3 AI

ChatGPT (GPT-4)

Developer

xAI (Elon Musk)

OpenAI

Real-Time Access

✅ Yes

❌ No (Limited to Knowledge Cutoff)

Programming Assistance

✅ Advanced (Real-time Debugging)

✅ Strong but No Live Debugging

Creativity & Humor

✅ Sarcastic & Humorous

✅ Formal & Balanced

Integration

✅ X (Twitter)

✅ Microsoft Copilot, Bing

Open-Source

✅ Yes

❌ No

While Grok 3 AI has a major advantage in real-time data access and open-source capabilities, ChatGPT remains strong in structured problem-solving and business applications. The choice depends on what a user prioritizes in an AI model.

How Will Grok 3 AI Impact Software Engineers?

One of the biggest concerns is AI jobs at risk due to Grok 3. With its real-time debugging and programming capabilities, Grok 3 could reduce the need for junior software engineers. However, it is unlikely to completely replace skilled programmers.

🔹 Potential Effects on Software Engineering Jobs: 🟢 Increased Automation – Routine coding tasks may become automated. 🟢 Faster Debugging – AI-powered debugging will help developers fix issues quicker. 🟢 New Job Roles – AI engineers, AI trainers, and ethical AI consultants will be in demand. 🟢 Human Creativity Remains Key – While AI can assist, human problem-solving and creativity are still irreplaceable.

AI will enhance rather than eliminate software engineering jobs, making it essential for professionals to adapt and upskill.

Future of AI – What’s Next?

With the rapid evolution of AI models like Grok 3 AI, ChatGPT, and Google Gemini, the future of artificial intelligence looks promising. While concerns about AI replacing jobs persist, history shows that new technology creates more opportunities than it destroys.

🚀 The key takeaway? AI won’t replace humans, but humans who use AI effectively will replace those who don’t.

For more insights on latest tech trends, self-help tips, and personal development, visit SV Enlightment – your ultimate source for valuable and relevant content!

[jcmarchi]

ChatGPT-4 vs. ChatGPT-3.5: Which one should you use?

New Post has been published on https://thedigitalinsider.com/chatgpt-4-vs-chatgpt-3-5-which-one-should-you-use/

ChatGPT-4 vs. ChatGPT-3.5: Which one should you use?

OpenAI offers two versions of its chatbot, ChatGPT-4 and ChatGPT-3.5, each catering to different needs.

ChatGPT-4 is the more advanced option, providing improved accuracy and reasoning, while ChatGPT-3.5 remains a solid choice, especially for those looking for a free AI tool. The right model depends on user needs – whether it’s a more powerful AI for complex tasks or a simple, accessible chatbot for everyday use.

Both models are built on the same foundational AI concepts, but they have notable differences. ChatGPT-4 offers more advanced reasoning, a larger context window, and multimodal capabilities, making it better suited for complex problem-solving and content generation.

In contrast, ChatGPT-3.5 is designed for general-purpose tasks and is easier to access since it’s free. While ChatGPT-4 requires a subscription, ChatGPT-3.5 is available at no cost, making it a practical option for casual users who don’t need advanced features.

Who should choose ChatGPT-4?

ChatGPT-4 is designed for users who need a more powerful AI model that can handle both text and image inputs. It can handle longer conversations, making it helpful for users who want thorough, context-rich interactions. It also supports internet browsing in specific plans, allowing for limited real-time information retrieval.

However, this model is only available with subscription plans, which begin at $20 per month for individual users and progress to higher-tier options for teams and enterprises.

While these plans offer extra features like a larger context window and better performance, they also require a financial commitment that may be unnecessary for users with basic AI needs.

Who should choose ChatGPT-3.5?

ChatGPT-3.5 remains a viable alternative for users looking for a free AI chatbot that does not require a subscription. It can perform a variety of general tasks, including answering questions, drafting text, and offering conversational support.

While it lacks multimodal capabilities and has a smaller context window than ChatGPT-4, it is still a reliable tool for many common uses. The setup process is straightforward – users simply need to create an OpenAI account to start using the model via the web or through mobile apps. It supports voice interactions on mobile devices, making it more convenient for hands-free use.

Businesses and professionals looking for a scalable AI solution will likely prefer ChatGPT-4, which provides more sophisticated responses, advanced reasoning, and additional enterprise features. Its ability to process multimodal inputs, evaluate data, and manage longer conversations makes it a more effective tool for professional and research-based tasks.

Making the right choice: ChatGPT-4 or ChatGPT-3.5?

For those deciding between the two, the choice largely depends on the intended use. ChatGPT-4 is the better option for users who require higher accuracy and enhanced reasoning. It is well-suited for professionals, researchers, and businesses seeking a more powerful AI tool. In comparison, ChatGPT-3.5 is ideal for users who need a simple and user-friendly AI model capable of handling a wide range of tasks.

Are there better AI alternatives?

While ChatGPT-4 and ChatGPT-3.5 are both capable AI tools, they may not be everyone’s cup of tea. Users looking for a free, multimodal AI tool with extensive real-time web search capabilities may find other models more suitable. Similarly, people who need AI specifically for coding and development may prefer a model optimised for those tasks. OpenAI’s models are designed to be general-purpose, but they may not meet the needs of users requiring highly specialised AI applications.

For those exploring alternatives, Google Gemini, Anthropic Claude, and Microsoft Copilot are among the top competitors in the AI chatbot space. Google Gemini, previously known as Bard, integrates deeply with Google Search and offers strong multimodal capabilities. Many users appreciate its accessibility and free-tier offerings.

Anthropic’s Claude is another option, particularly for those focused on ethical AI development and security. It features one of the largest context windows available, making it suitable for long-form content generation.

Meanwhile, Microsoft Copilot integrates with Microsoft 365 applications and Bing, providing an AI assistant that seamlessly fits into productivity and development workflows.

(Photo by Unsplash)

See also: Microsoft and OpenAI probe alleged data theft by DeepSeek

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[paoloferrario]

Perplexity, ChatGPT, Gemini, Copilot, Tutte le Differenze

Perplexity Vs ChatGPT Vs Gemini Vs Copilot; Quale scegli? Perplexity Vs ChatGPT Vs Gemini Vs Copilot, Tutte le Differenze

[kimatkumar]

Google Gemini V/s Github Copilot

Nowadays, AI is specialized to help the developer in their software development process. AI tools enable the creation of talking online. It replicates human voices and makes a one-to-one interaction.

The combination of AI and code is quite powerful, accelerates breakthroughs in AI, and produces powerful AI supercomputers. GitHub and Gemini are two important players. But what is the difference between Gemini V/s Copilot? Let us see Google Gemini vs GitHub copilot in this article.

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Have you struggled to know how to use AI for your work? Be10x AI tools workshop has come up with the 2-hour comprehensive live session led by the industry experts Aditya Kachave and Aditya Goenka. Through this, you will master AI tools and Chatgpt that will excel your growth to 3x time. The AI workshop pay special attention to professionals like entrepreneurs, data analysts, marketing specialists, and software engineers. 

Start your journey of leveraging AI tools with Be10x AI Workshop. Join now at just Rs.9 to enjoy the great bonuses of Worth Rs10,500.

[ausetkmt]

Are you one of the people who seemingly used the GPT Builder in Microsoft's AI-based Copilot Pro? If so, you can kiss it goodbye. Come July 10, Microsoft will squash the tool permanently -- at least for the consumer version of Copilot.

On a new support page, Microsoft said that it will remove the ability to create GPTs starting July 10 and then delete all GPTs -- those created by the company and its customers -- from July 10 through July 14. In a nod toward privacy, any data associated with or collected by the GPTs also will be gone.

Also: How to use ChatGPT to create an app

Launched just three months ago in mid-March, Copilot's GPT Builder works similarly to OpenAI's ChatGPT Plus GPT Builder. Both tools let you create your own custom GPT chatbots to use yourself or share with others. Creating your own task-specific chatbot this way requires no coding skills or knowledge as the tool talks you through the process.

The difference is that the ChatGPT Plus GPT Builder lets you use your GPTs privately, share them with specific people, or publish them to the GPT store. With Copilot Pro's GPT Builder, you can use them only privately or share them with specific people.

OK, but why kill off the tool after only three months of life? Here's the explanation from Microsoft:

"We are continuing to evaluate our strategy for consumer Copilot extensibility and are prioritizing core product experiences, while remaining committed to developer opportunities," the company said on the support page. "To this end, we are shifting our focus on GPTs to Commercial and Enterprise scenarios and are stopping GPT efforts in consumer Copilot."

This makes it sound as if custom GPTs and the GPT Builder may have a future for commercial and enterprise customers, though Microsoft didn't elaborate on this possibility. Otherwise, the tool may have simply failed to catch on with subscribers, and the company might feel it's no longer worth the time and effort to support it.

Also: ChatGPT vs. Microsoft Copilot vs. Gemini: Which is the best AI chatbot?

In the meantime, what do you do if you've created custom Copilot GPTs and don't want to lose them? Here's what Microsoft advises:

Open your custom GPT in Edit mode and select the Configure tab. Copy the instructions and paste them somewhere else.

That last step seems vague since Microsoft didn't indicate how and where you could use those instructions. But at least, the data will be retained in some format. Certainly, you can save the information and then copy it back to a regular Copilot prompt when you want to run that particular request

[airises]

"Ultimate AI Showdown: ChatGPT vs. Copilot vs. Gemini – Who Can Skyrocket TikTok Followers Fastest?!"

“Hey! I’ve set up a new TikTok account for you. You have 10 days to attract as many followers as possible. What’s your strategy?” Starting a new TikTok account and building a following quickly involves a mix of strategic content creation, engagement, and promotion. Here’s a step-by-step plan you could follow to maximize your growth in just 10 days: CHAT GPT Turbo Define Your Niche: Determine…