Latest news with #ChatGPT5
Forbes
8 hours ago
- Business
- Forbes
I Tried ChatGPT-5 To Make Money Online. This Is What Happened
If you're launching or growing a business online in 2025, AI tools like ChatGPT are your ultimate unfair advantage. They help you remain competitive in your industry, and enable you as a freelance professional to deliver uncompromising quality and speed of project execution. So far, the data shows: So the question is, What's so exciting and different about ChatGPT-5, OpenAI's latest model? And how can you use it, like other freelancers are doing, to build your business and make money online outside of your 9-5? What's New With ChatGPT-5? Quick facts: ChatGPT-5 is OpenAI's latest model, released Thursday (August 7), and is dubbed its 'flagship model' which claims to be its best to date, being smarter, more efficient, more widely useful on various benchmarks compared to earlier models, according to OpenAI's website. It's been designed to have less hallucinations (however still keep on the lookout as AI does have its moments) and was developed to be more efficient, accurate, detailed, and have greater depth in areas such as: For now, much to the chagrin of some users who've expressed their disappointment on social media platforms, access to previous versions of ChatGPT has been removed (at the time of writing). How Can You Start Making Money With ChatGPT-5? To start making money online using ChatGPT's newest advanced model, you need to think about the features that are most relevant to your work, that can help in giving you an edge above your competitors. Here are some examples of how you might be able to use ChatGPT-5's newest features to cut short your work and make more money: That being said, ChatGPT-5 is not without its drawbacks, even in its first 72 hours. It has received mixed reviews from users, with backlash from many stating that this model is nowhere near as good as ChatGPT 4.0. How Does ChatGPT-5 Work? For my part, I wanted to test it for myself, so I decided to act as a freelance designer and posed ChatGPT this prompt: 'Create a ready-to-sell Instagram carousel design for a personal trainer client in the health and fitness industry, eliminating the need for manual design work. I have uploaded a screenshot of a sample post the client says they like and admire. They'd like the aesthetic of their branding on Instagram to be similar to this. The carousel will have quick facts about how to burn an extra 300 calories a day.' (The photo I used in the prompt was a screenshot of a Canva template I had found.) This is what happened: Jeff Hunter, an admin on Artificial Intelligence, a large Facebook community of 3.6 million AI enthusiasts, posted: "First thoughts on ChatGPT 5?" to which he was met with an overwhelming response of underwhelmed ChatGPT users expressing their disappointment. Yahoo News also reported that there was mixed feedback at Sam Altman's live Reddit session, with users noting that ChatGPT-5 is notably worse at writing assignments compared to version four. I then gave ChatGPT this prompt: 'Give me design suggestions based on this style: what are the fonts used and what are the HEX color codes? Also give me a ready-to-use caption and hashtags using the client's brand voice: energetic, sharp and to the point, no messing around tone, witty, motivating.' The answer came almost immediately, most of which was extremely helpful and detailed if I was a real freelance designer. The hiccup came when it offered a promise it couldn't fulfil: When I said yes, this prompt took me on endless yo-yo before it finally came to the conclusion that it couldn't access Canva or create a Canva link. I then asked it to create the full set of carousels instead. The finished product? One lone image, almost identical to the cover image that we originally started with (see below): Needless to say, I was disappointed as it seemed ChatGPT had gone backwards in its capabilities and understanding of my prompts. Nonetheless, here's what I learned about using ChatGPT-5 to make money online as a freelancer: Finally, consider experimenting with other Gen AI tools like Claude and Copilot, to see which serves your needs best as you monetize your skills online. Some have clearly distinct advantages over others for specific tasks, like code reviews or debugging. In an AI-driven world, remember, one of your greatest advantages is being able to out-innovate your competition. So, automate where you can, design your own custom prompts and AI workflows, and watch your skills make money for you. If you enjoyed reading this article, you'll find this one I wrote last week pretty fascinating too: I Tried ChatGPT's AI Agent To Make Money Online. Here's What Happened.
Forbes
9 hours ago
- Business
- Forbes
Business Tech News: OpenAI Releases It's Latest And Greatest Version Of ChatGPT
Here are five things in tech that happened this week and how they affect your business. Did you miss them? This Week in Business Tech News Business Technology News #1– ChatGPT-5 is here. GPT-5, launched this week, is OpenAI's flagship model now powering ChatGPT, the API, and Microsoft Copilot. It represents a unified system that dynamically adapts its reasoning power to tasks like coding ('vibe coding'), math, and software development, eliminating the need for users to manually switch between model variants. GPT-5 delivers faster, more accurate, and more reliable responses with fewer hallucinations and elevated factuality. It supports multimodal interaction—text, image, and voice—and brings personalization enhancements like customizable 'personalities,' color themes, and integrations with Gmail and Google Calendar. While it is not AGI, GPT-5 offers notable steps toward artificial general assistance by providing more natural, context-aware, and personalized interactions. (Source: OpenAI) Why this is important for your business: It's been a two year wait, but early reviews say it's worth it. No business owner should be without a good chatbot companion, be it ChatGPT, Claude, Copilot, Grok, Gemini or others. GPT-5's biggest benefits – at least for me – is its accuracy. I already use a few chatbots to review contracts, summarize long documents, parse through interview transcripts and help me create policies and other business documents. I'll be leaning more on GPT-5 over the coming months and expect its performance to be that much better. Business Technology News #2 – Epicor expands cognitive ERP capabilities to optimizes supply chain and tax management. Epicor has announced strategic partnerships with SourceDay and Sovos to enhance its Epicor Kinetic ERP platform for manufacturers, which, according to the company will contribute towards advancing its vision of Cognitive ERP – an AI-driven approach that transforms ERP systems from passive record-keeping tools into proactive, intelligent systems of action that enable real-time data analysis. SourceDay integration automates and digitizes the entire purchase order lifecycle and improves supplier collaboration and data accuracy. Sovos enhances tax compliance capabilities while supporting automated tax reporting and regulatory adherence. (Source: Epicor) Why this is important for your business: Epicor, like many great ERP system providers are not only enhancing their AI offerings but partnering companies to fully leverage AI's benefits. Too many small and mid-sized businesses ignore these benefits are claim that they don't have enough time to implement them and I couldn't disagree more. Learning how to use these features and then investing the time and resources into getting them operational will have significant long term effects on both productivity and profitability. Regardless of whether you use Epicor, it's critical to dig into the features and functionality your business system provider is rolling out (or planning) and leaning into them. Business Technology News #3 – Zuckerberg: superintelligence is now in sight. Meta CEO Mark Zuckerberg published a post that shared Meta's vision to 'bring personal superintelligence to everyone.' Personal superintelligence – a deeply personalized AI assistant designed to help individuals achieve their goals, foster creativity, and enhance social connection – is a shift away from productivity-focused AI such as ChatGPT. Meta aims to deliver superintelligence through smart glasses and AR/VR headsets, which will become the 'primary computing devices' of the future. (Source: Meta) Why this is important for your business: 'Superintelligence has the potential to begin a new era of personal empowerment where people will have greater agency to improve the world in the directions they choose,' Zuckerberg said. Here's my concern: no one really knows what this means. I'm not sure Mark Zuckerberg even knows the full implications of superintelligence. I'm not going to predict what superintelligence means for business yet. Because, like everyone else, I don't fully know the implications either! Business Technology News #4 – FBI warns of a particular scam involving QR codes. The FBI has issued a public alert about a new scam where criminals send unexpected packages containing malicious QR codes designed to steal personal data or install malware. Packages are sent to recipients who didn't place the order. Inside or on the package is a QR code that appears to offer tracking info or delivery verification. Scanning the code may either redirect the recipient to phishing websites or prompt them to enter personal/financial information. Malware can also be immediately downloaded to the device used to scan the QR code. (Source: Digital Trends) Why this is important for your business: According to Trevor Mogg of Digital Trends this is a dangerous twist on the older 'brushing scam', where vendors sent unsolicited items to boost fake reviews. Now, the goal is data theft and fraud. The FBI is advising people not to scan QR codes from unknown packages or sources; inspect packages carefully; preview QR links with suspicious URLs; and secure devices with antivirus software. Business Technology News #5 – Walmart doubles down on GenAI as retail giant builds breakthrough tech to shape future of retail. Walmart is accelerating its investment in Generative AI (GenAI) and agentic AI technologies to revolutionize how retail software is built and deployed – aiming for greater autonomy, speed, and innovation across its operations. The company is transitioning from basic automation to fully autonomous workflows. GenAI is being used to reimagine the software development lifecycle, boosting developer productivity and innovation. Walmart sees GenAI as foundational to next-gen retail tech and is actively scouting visionary startups that can contribute to this transformation. (Source: Retail Technology Innovation Hub) Why this is important for your business: If you're in retail, it's important to keep up to date on what the big box retailers are doing with AI. Ultimately their actions will filter down to smaller chains and stores. As important as GenAI is right now I'm expecting that retailers will be leaning heavily into robotics, point-of-sale and payment technologies leveraging AI in the years to come. Each week I round up five business technology news stories and explain why they're important for your business. If you have any interesting stories, please post to my X account @genemarks
Geeky Gadgets
11 hours ago
- Business
- Geeky Gadgets
ChatGPT 5 vs Claude Opus 4.1 AI Coding Performance Compared
What if the future of coding wasn't about learning a language, but choosing the right AI? With the rise of advanced AI coding assistants, the debate over which model reigns supreme has never been more intense. On one side, we have ChatGPT 5, celebrated for its affordability and versatility, making it a favorite among beginners and creative coders. On the other, Claude Opus 4.1 stands as the go-to for professionals who demand precision and speed. These two powerhouses promise to transform how we approach coding, but which one truly delivers? This report dives deep into their performance, revealing surprising contrasts that could redefine your workflow. In the following comparison, Leonardo Grigorio uncovers how these models stack up across critical dimensions like code quality, usability, and performance. Whether you're a seasoned developer seeking production-ready results or a newcomer exploring the world of coding, this analysis will help you identify the tool that aligns with your needs. But the choice isn't as simple as 'better' or 'worse'—it's about understanding which model fits your unique goals. As we unpack their strengths and trade-offs, you might find that the best AI for you isn't the one you expected. GPT-5 vs Claude 4.1 Pricing: Balancing Affordability and Value For users with budget constraints, GPT-5 emerges as a significantly more cost-effective option. Its input costs are approximately 12 times lower, and its output costs are 7.5 times lower compared to Claude Opus 4.1. This affordability makes GPT-5 particularly appealing for users who need to experiment extensively without worrying about escalating expenses. On the other hand, Claude Opus 4.1 justifies its higher price by delivering polished, professional-grade results. For developers working on high-stakes or time-sensitive projects, the premium cost may be a worthwhile investment. The choice ultimately depends on whether you prioritize affordability or the assurance of high-quality outputs. Code Quality: Iterative Flexibility vs. Professional Precision The two models differ significantly in their approach to code quality, catering to distinct user needs: Claude Opus 4.1: Known for generating production-ready code, it excels in handling complex tasks such as building web applications, games, or landing pages. Its outputs are precise and polished, making it an excellent choice for experienced developers who require minimal revisions. Known for generating production-ready code, it excels in handling complex tasks such as building web applications, games, or landing pages. Its outputs are precise and polished, making it an excellent choice for experienced developers who require minimal revisions. GPT-5: Adopts a more verbose and forgiving approach, allowing users to refine their code through multiple iterations. This flexibility is particularly beneficial for beginners or those engaging in creative coding projects where trial and error is part of the process. If you value precision and minimal revisions, Claude Opus 4.1 is the superior option. However, for users who prefer a tool that accommodates iterative learning and experimentation, GPT-5 offers the adaptability needed to refine and improve code over time. OpenAI ChatGPT 5 vs Claude Opus 4.1 Watch this video on YouTube. Enhance your knowledge on AI coding by exploring a selection of articles and guides on the subject. Performance Metrics: Speed vs. Versatility Performance benchmarks reveal distinct strengths for each model, making them suitable for different types of projects: GPT-5: Excels in reasoning and general-purpose tasks, offering versatility across a wide range of coding challenges. Its ability to adapt to various scenarios makes it a reliable choice for users seeking a flexible tool. Excels in reasoning and general-purpose tasks, offering versatility across a wide range of coding challenges. Its ability to adapt to various scenarios makes it a reliable choice for users seeking a flexible tool. Claude Opus 4.1: Delivers faster real-time coding with lower latency and higher throughput. This makes it particularly effective for projects requiring quick turnarounds or immediate results. Your decision should be guided by whether you prioritize broad functionality and adaptability or speed and efficiency in your coding tasks. Context Window Management: Capacity vs. Efficiency The ability to manage context is a critical factor for complex coding projects, and both models take different approaches to this challenge: GPT-5: Features a larger context window, allowing users to input and process more extensive information. This capability is especially useful for projects requiring detailed instructions or handling large datasets. Features a larger context window, allowing users to input and process more extensive information. This capability is especially useful for projects requiring detailed instructions or handling large datasets. Claude Opus 4.1: Demonstrates superior efficiency in using its context window, effectively remembering and applying prior prompts. This ensures consistent and precise outputs, even when working with limited input sizes. For projects that demand handling large amounts of data or detailed instructions, GPT-5's larger context window is advantageous. Conversely, Claude Opus 4.1's efficient context management makes it a better fit for users who prioritize precision and consistency. User Experience: Beginner-Friendly vs. Expert-Oriented The user experience offered by each model varies based on the technical expertise of its target audience: GPT-5: Designed with non-technical users in mind, it provides a forgiving interface that supports iterative learning. Its verbosity and flexibility make it an excellent starting point for beginners or hobbyists exploring coding for the first time. Designed with non-technical users in mind, it provides a forgiving interface that supports iterative learning. Its verbosity and flexibility make it an excellent starting point for beginners or hobbyists exploring coding for the first time. Claude Opus 4.1: Tailored for experienced developers, it excels at handling precise prompts and delivering professional-grade results. This makes it a preferred choice for users with clear objectives and advanced technical skills. If you're new to coding, GPT-5's user-friendly design offers a smoother learning curve. For advanced users, Claude Opus 4.1 provides the precision and reliability needed for complex, high-stakes projects. Empirical Observations: Forgiveness vs. Accuracy In practical applications, the models exhibit contrasting strengths that cater to different user preferences: GPT-5: More forgiving of errors, it allows users to refine their code over multiple attempts. This makes it ideal for experimentation, learning, and creative projects where flexibility is key. More forgiving of errors, it allows users to refine their code over multiple attempts. This makes it ideal for experimentation, learning, and creative projects where flexibility is key. Claude Opus 4.1: Excels in one-shot prompt handling, delivering accurate results on the first try. This capability is particularly valuable for time-sensitive or high-stakes projects where precision is critical. Your choice depends on whether you prioritize flexibility for iterative learning or accuracy for immediate results. Use Cases: Matching Tools to Your Needs The suitability of each model depends on your specific goals, expertise, and project requirements: GPT-5: Best suited for non-technical users, hobbyists, or those exploring creative coding projects. Its affordability and forgiving nature make it an excellent entry point for beginners. Best suited for non-technical users, hobbyists, or those exploring creative coding projects. Its affordability and forgiving nature make it an excellent entry point for beginners. Claude Opus 4.1: Ideal for developers with technical expertise and well-defined objectives. Its superior code quality and efficiency cater to professional-grade outputs, making it a reliable choice for experienced users. By understanding your project requirements and technical proficiency, you can determine which tool aligns best with your needs and goals. Both models offer unique strengths, making sure that there is an option for every type of user. Media Credit: Leonardo Grigorio | AI Automation Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Geeky Gadgets
a day ago
- Geeky Gadgets
ChatGPT 5 Review : The AI Revolution We Hoped For or a Step Backward?
What if the most anticipated AI model of the year wasn't quite what you expected? OpenAI's ChatGPT 5 has arrived in a variety of different AI models, promising new advancements in technical problem-solving and software creation, yet sparking fierce debates about its broader impact and limitations. On one hand, it features an innovative routing system designed to optimize task performance, and on the other, it faces criticism for inconsistent results and its failure to significantly advance toward Artificial General Intelligence (AGI). This tension between potential and reality has left many wondering: is GPT-5 a step forward or a signal that scaling AI models is reaching its limits? In the video below, Wes Roth unpack ChatGPT 5's AI models and the key strengths and weaknesses of each, exploring its impressive capabilities in coding and tool development alongside its struggles with reasoning and basic math. You'll also discover how its unique routing system works—and why it has sparked frustration among users. Beyond the technical details, we'll examine the broader implications of GPT-5's performance for the future of AI development and innovation. Whether you're a developer, a tech enthusiast, or simply curious about the state of AI, this exploration will leave you with a clearer understanding of where GPT-5 shines, where it stumbles, and what it means for the next chapter of artificial intelligence. ChatGPT 5: Strengths and Challenges Polarized Reception The reception of GPT-5 has been notably divided, reflecting both its potential and its shortcomings. Strengths: GPT-5 demonstrates enhanced capabilities in generating software applications and solving complex, technical tasks, making it a valuable tool for developers. GPT-5 demonstrates enhanced capabilities in generating software applications and solving complex, technical tasks, making it a valuable tool for developers. Criticisms: Many experts argue that ChatGPT 5 represents only an incremental improvement over its predecessor, falling short of the fantastic progress expected in the pursuit of AGI. This polarized response has sparked debates about whether the current approach of scaling AI models is nearing its limits, raising questions about the future direction of AI research and development. Innovative Routing System: Promise and Pitfalls One of GPT-5's most distinctive features is its innovative routing system, designed to optimize task allocation by assigning specific tasks to specialized sub-models based on their complexity and computational requirements. This system aims to enhance both efficiency and performance, offering a more dynamic approach to handling diverse tasks. Despite its promise, the routing system has encountered significant challenges: Inconsistent task allocation: The auto-switcher, responsible for selecting the appropriate sub-model, has been criticized for producing suboptimal outputs in certain scenarios. The auto-switcher, responsible for selecting the appropriate sub-model, has been criticized for producing suboptimal outputs in certain scenarios. Unpredictable results: Users have reported frustration with the system's inability to consistently deliver reliable outcomes, particularly for critical or high-stakes tasks. OpenAI has acknowledged these issues and is actively working to improve the system's transparency and reliability. Enhancements in this area could significantly bolster user confidence and the model's overall utility. OpenAI GPT-5 Overview & Performance Tested Watch this video on YouTube. Here is a selection of other guides from our extensive library of content you may find of interest on GPT-5. Strengths: Coding and Tool Creation GPT-5 excels in domains requiring technical expertise, particularly in coding and tool development. Its strengths include: Software generation: The model can create functional software applications, streamlining development processes for programmers. The model can create functional software applications, streamlining development processes for programmers. Problem-solving: It effectively addresses complex challenges through code-based solutions, making it a powerful resource for technical industries. It effectively addresses complex challenges through code-based solutions, making it a powerful resource for technical industries. Integration capabilities: ChatGPT 5 demonstrates proficiency in following instructions and integrating seamlessly with external tools, enhancing its versatility. These capabilities position GPT-5 as a valuable asset for developers, businesses, and industries focused on automation and programming. Its ability to handle intricate tasks with precision underscores its potential to drive innovation in technical fields. Weaknesses: Reasoning and Basic Math Despite its technical strengths, GPT-5 exhibits notable weaknesses in fundamental areas such as reasoning and basic mathematics. These limitations include: Logical reasoning: The model struggles with tasks requiring deductive reasoning or nuanced problem-solving, often producing inconsistent or incorrect results. The model struggles with tasks requiring deductive reasoning or nuanced problem-solving, often producing inconsistent or incorrect results. Numerical accuracy: Simple mathematical calculations can pose challenges, particularly when the default routing system is relied upon. While premium features like 'max reasoning effort' can enhance performance in these areas, their accessibility is limited, potentially restricting the model's broader usability. Addressing these weaknesses will be critical for expanding GPT-5's applicability across a wider range of tasks. Transparency and User Feedback A recurring concern among GPT-5 users is the lack of transparency in its routing system. The inability to predict or control how tasks are assigned to sub-models has led to frustration and diminished trust in the model's reliability. In response, OpenAI has committed to several improvements: Enhanced transparency: Efforts are underway to provide users with greater insight into the task allocation process, allowing more informed interactions with the model. Efforts are underway to provide users with greater insight into the task allocation process, allowing more informed interactions with the model. Refined decision-making: OpenAI is working to improve the consistency and accuracy of the routing system's decision-making mechanisms. These initiatives aim to address user concerns and establish a stronger foundation of trust, making sure that GPT-5 can deliver more predictable and reliable performance across diverse applications. Broader Implications for AI Development GPT-5's mixed performance has sparked broader discussions about the trajectory of AI development. While its advancements in specific areas are undeniable, its limitations highlight the challenges of achieving significant breakthroughs through scaling alone. Key insights include: Need for innovation: ChatGPT 5 underscores the importance of exploring novel approaches to AI design, moving beyond incremental improvements to achieve fantastic progress. ChatGPT 5 underscores the importance of exploring novel approaches to AI design, moving beyond incremental improvements to achieve fantastic progress. Balancing strategies: A combination of scaling and innovative methodologies will be essential for overcoming current limitations and advancing AI capabilities. These considerations reflect the complexity of pushing AI systems beyond their current boundaries, emphasizing the need for a more holistic approach to development. Future Outlook OpenAI has expressed a commitment to addressing ChatGPT 5's shortcomings while building on its strengths. The model's proficiency in coding and tool creation suggests promising applications across various industries, from software development to automation. However, its struggles with reasoning and basic math remain critical areas for improvement. As the AI community continues to explore new methods and technologies, GPT-5 serves as both a milestone and a reminder of the challenges inherent in advancing artificial intelligence. Achieving AGI and other ambitious goals will require not only scaling existing models but also rethinking fundamental design principles to unlock new possibilities. Media Credit: Wes Roth Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
GSM Arena
2 days ago
- GSM Arena
This is when Apple Intelligence gets OpenAI's new GPT-5
Vlad, 08 August 2025 A few hours ago, OpenAI announced ChatGPT-5, the best ChatGPT yet. Since the unveiling, you may have been wondering when Apple Intelligence will incorporate GPT-5, as right now it uses the older GPT-4o. According to a report from 9to5Mac, Apple will incorporate GPT-5 into the final releases of iOS 26, iPadOS 26, and macOS Tahoe 26. All of those are expected to start rolling out next month, which is also when the iPhone 17 family should become official. In Apple Intelligence, you can use Siri to access ChatGPT. Apple's assistant taps into ChatGPT to give answers when it's helpful for your request. You can also use ChatGPT with Apple Intelligence's Writing Tools, and use ChatGPT with Apple's Visual Intelligence with Camera Control to quickly learn more about what's around you. All of these functions currently use GPT-4o but will be upgraded to GPT-5 with the release of the next versions of Apple's operating systems, so you won't have that long to wait to get all of the upgraded functionality in GPT-5.
