Articles about ChatGPT

Today, Google introduces Gemini 2.5. Initially, it will only be available as the experimental Gemini 2.5 Pro. And yes, as you can predict, the search giant is calling its newest AI model the most advanced version yet.

While the company promises huge improvements in reasoning and coding, the move feels more like Google playing catchup to OpenAI’s ChatGPT. Let’s be honest, folks -- ChatGPT has dominated public attention and enterprise adoption for months.

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Despite owning a fancy iPhone 16 Pro Max, I also have an iPad Air. Why? Well, even though my iPhone has a pretty big screen, sometimes I just want even bigger. Plus, I can use it when my iPhone is charging.

Why didn’t I go with an iPad Pro? Quite simply, Apple’s Pro tablets are too expensive for what I mostly use them for -- media consumption. Hell, I don’t need an expensive iPad Pro for watching TikTok on the toilet.

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OpenAI has just announced GPT-4.5! While the company says the model is its most advanced AI yet, there’s definitely more to this release than meets the eye. Version 4.5 is a clear warning for anyone betting against OpenAI, including Elon Musk.

GPT-4.5 is being labeled a “research preview,” meaning OpenAI is still testing its strengths and weaknesses. With that said, it is apparently smarter, more natural in conversations, and better at avoiding mistakes than previous models. That could signal big trouble for xAI’s Grok, which Musk has been pushing as an alternative to OpenAI’s models.

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New research from Apiiro shows that while AI code assistants are accelerating development times they're also increasing risks.

AI code assistants have seen rapid adoption since the launch of ChatGPT in November 2022. Microsoft reports that more than 150 million developers now use GitHub Copilot, up 50 percent over the past two years.

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OpenAI has unleashed Deep Research in ChatGPT, a new AI-powered tool that can handle complex online research tasks faster than a human ever could. Available today for Pro users, with Plus and Team access coming soon, this feature is designed to synthesize information from hundreds of online sources, analyze data, and generate detailed reports. OpenAI says it can complete hours of research in just minutes -- but should we really be celebrating this?

This latest AI capability is powered by an optimized version of OpenAI’s upcoming o3 model, fine-tuned for web browsing and deep data analysis. Unlike a simple search engine, it doesn’t just find information -- it thinks about it, pivots when necessary, and compiles its findings into structured reports. That means it isn’t just doing research -- it’s acting like a research analyst. And if AI can do that, what happens to the actual researchers?

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For a bit of fun, I thought I would ask ChatGPT to generate a set of numbers for the EuroMillions draw on Friday. Then, seconds later, I asked Chinese upstart DeepSeek to do the same.

My plan was to play both sets of numbers and see which, if any, of the two AIs could win me money. The result was not at all what I expected.

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Learn how to simplify your life with AI in The ChatGPT Revolution -- now fully updated and revised, with even more ideas to spark creativity and boost efficiency.

The ChatGPT Revolution is the ultimate quick-start guide to unlocking the power of generative AI. We’re on the edge of an AI revolution… but what does that mean for you? It’s time to get curious about how the latest tech can help you handle your everyday load, at work and at home! Whether you’re overwhelmed by repetitive, time-consuming tasks or you’re simply looking for a fresh injection of creativity, ChatGPT has got your back.

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Worldwide spending on chatbots is expected to reach $72 billion by 2028, up from $12 billion in 2023, and many organizations are scrambling to keep pace. As companies race to develop advanced chatbots, some are compromising performance by prioritizing data quantity over quality. Just adding data to a chatbot’s knowledge base without any quality control guardrails will result in outputs that are low-quality, incorrect, or even offensive.

This highlights the critical need for rigorous data hygiene practices to ensure accurate and up-to-date conversational AI software responses.

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Large-language models (LLMs) and other forms of generative AI are revolutionizing the way we do business. The impact could be huge: McKinsey estimates that current gen AI technologies could eventually automate about 60-70 percent of employees’ time, facilitating productivity and revenue gains of up to $4.4 trillion. These figures are astonishing given how young gen AI is. (ChatGPT debuted just under two years ago -- and just look at how ubiquitous it is already.)

Nonetheless, we are already approaching the next evolution in intelligent AI: agentic AI. This advanced version of AI builds upon the progress of LLMs and gen AI and will soon enable AI agents to solve even more complex, multi-step problems.

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After all the headlines we have read about how amazing Artificial Intelligence (AI) is and how businesses would literally stagnate if they didn't have it, it was interesting to read this article in Forbes, who suggest that AI stock is showing 'bubble-like' tendencies and may soon experience a sharp correction as businesses struggle to operationalize AI. So, should we write off AI? Maybe not.

Perhaps the better plan is to accept that AI is at the top of its hype cycle, and, like any new technology, there will be some limitations to ChatGPT-style AI, which in its raw state can be subject to issues like hallucinations. We knew this anyway, as the CEO of the company behind it explained: "ChatGPT is incredibly limited but good enough at some aspects to create a misleading impression of greatness. It's a mistake to be relying on it for anything important right now."

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ChatGPT for Cybersecurity Cookbook takes you on a journey toward enhancing your cybersecurity skills, whether you’re a novice or a seasoned professional. By leveraging cutting-edge generative AI and large language models such as ChatGPT, you'll gain a competitive advantage in the ever-evolving cybersecurity landscape.

This book shows you how to automate and optimize various cybersecurity tasks, including penetration testing, vulnerability assessments, risk assessment, and threat detection.

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There's no doubt that artificial intelligence is flavor of the month at the moment. But for many people using AI and understanding what it can do for them remains something of a challenge.

Build-A-Brain is a new platform that aims to make AI accessible to anyone by acting as a sort of virtual executive assistant.

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In AI-Driven Project Management: Harnessing the Power of Artificial Intelligence and ChatGPT to Achieve Peak Productivity and Success, veteran IT and project management advisor Kristian Bainey delivers an insightful collection of strategies for automating the administration and management of projects.

In the book, the author focuses on four key areas where project leaders can achieve improved results with AI's data-centric capabilities: minimizing surprises, minimizing bias, increasing standards, and accelerating decision making.

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Learn the art of writing effective AI prompts and break into an exciting new career field.

Writing AI Prompts For Dummies, is a comprehensive guide that will teach you how to confidently write effective AI prompts so you can unlock the full power of generative AI.  Whether it's text, images, or even videos and music you're aiming to create, this book provides the foundational knowledge and practical strategies needed to produce impressive results.

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Design and use generative AI prompts that get helpful and practical results in this concise and quick start guide.

In The Quick Guide to Prompt Engineering, renowned technology futurist and AI thought leader Ian Khan delivers a practical and insightful resource for taking the first steps in understanding and learning how to use generative AI. You will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, and Google’s Bard, and explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases.

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