Articles about Artificial Intelligence

When talking about AI in general -- including Copilot -- the focus tends to be on the impressive time-saving capabilities and futuristic features. What is often overlooked is the potential for artificial intelligence to improve accessibility.

But this is exactly what Microsoft is doing with the features it has for Copilot+ PCs. And now the company has made many of the Copilot+ experiences available to a wider range of processors, so systems with AMD Ryzen AI 300 series, Intel Core Ultra 200V and Snapdragon X Series chips can feel the benefits. There are huge advances in accessibility to be explored.

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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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Copilot remains a divisive addition to Windows, so there was a mixture of jubilation and despair when Microsoft released updates for Windows 10 and Windows 11 that had the unintended side effect of deleting the AI-powered digital assistant.

At the time, Microsoft acknowledged the accidental deletion and unpinning of the app and suggested Copilot fans manually download and reinstall the app while it worked on a proper fix. Now the company says it has things sorted out -- to the delight or chagrin of those affected.

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Implementing cloud services with AI technologies, such as Microsoft Copilot, is fundamental for IT providers seeking to offer advanced solutions. However, with greater dependence on AI-generated tools to foster innovation and productivity in organizations, the necessity of enabling cloud environments to host these sophisticated capabilities has become paramount.

Their successful integration, however, comes at the expense of having additional investments in computing power, data analytics, and intelligent security solutions that shield sensitive information from unauthorized access. Many companies first need to accomplish a cloud migration to improve the security posture of the infrastructure before implementing AI.

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This year started with a shockwave for the tech world, and the AI community in particular. Launched by a relatively obscure Chinese startup, DeepSeek not only challenged the rules of the AI game by sending Nvidia's stock plummeting 17 percent in one day and becoming the most-downloaded app on the App Store and Play Store, but also showed the persisting security problems by accidentally exposing its database and leaking sensitive data including chat histories, API keys and backend operational details.

Success and failures aside, DeepSeek made the world realize how quickly and deeply a single AI model release can impact global events, and this raises three questions. First, how legitimate (and sustainable) are the massive AI investments in the West? Second, what risks and opportunities does open-source development pose? Finally, is it possible to balance growth and innovation with data privacy and security amidst a global AI race?

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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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Elon Musk is not happy with the direction he sees OpenAI heading -- so much so that he wants to buy back the artificial intelligence firm he co-founded. The billionaire walked away from OpenAI more than five years ago, but he does not like the way CEO Sam Altman is handling things.

Musk being Musk, deep pockets and all, has teamed up with other investors to buy “all assets” of OpenAI. The consortium has put a bid of $97.4 billion on the table, and Musk has stated that he will ensure that (assuming he is able to make the purchase he so desperately wants) “OpenAI [...] return[s] to the open-source, safety-focused force for good it once was”.

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Just how AI models should be trained has been a subject of debate for some time now, with there being a lot of focus in whether publicly posted social media content is ripe for the picking or not. Now a new lawsuit suggests that Meta has been using pirated ebooks as a data source.

Emails that are serving as evidence in a copyright case against Meta appear to show that the Facebook owner has torrented scores of terabytes of data from a number of online resources. Among the places mentioned in newly released unredacted emails are Anna’s Archive, Z-Library and LibGen.

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Modern enterprises are under fire from all angles. Attackers have become increasingly sophisticated and persistent in how they target enterprise data and systems. But as the threat landscape has evolved and become more complex, one tried and true method for malicious attackers stands out as a weak point for nearly every enterprise attack surface: outdated software. As much as patch management has advanced in recent years, the fact remains that most organizations struggle to deploy patches consistently and effectively, and that leaves systems exposed to cyber attacks.  

Cybercriminals have become quite adept at exploiting unpatched software, using it as an easy entry point into enterprise networks. Malicious actors have developed an incredibly sophisticated understanding of where enterprise weak points are. In fact, most criminal operators have a deeper understanding of enterprise attack surfaces than the security teams tasked with defending them. Enterprise networks often consist of hundreds of thousands of IT assets, and every single unpatched instance represents an opportunity for attackers to compromise data and operations.

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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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Theft of mobile devices is a crime that is not going away any time soon. Phones are now completely central to so many aspects of life, and the theft (or loss) is about much more than the monetary value of the device itself. There is great potential for a thief to gain access to a wealth of information via a stolen phone.

This is why the security of mobile devices is so important, and it is why Google is taking steps to limit the impact of theft. A new feature that is starting to roll out is Identity Check, which requires the use of biometric authentication whenever your device is in an unknown or untrusted location. The company is also harnessing the power of artificial intelligence for good, using AI-powered tools to detect thefts.

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While Apple was excited to roll out news summaries powered by artificial intelligence, the reception has been somewhat muted because of some serious issues. The Apple Intelligence notification summaries were found to be sharing misleading or incorrect news headlines.

The BBC and other news outlets complained that their names were being used to spread misinformation, and Apple responded by promising an update to the service. For now, though, the company seems have to changed its mind, opting instead to simply disable notification summaries.

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Microsoft continues to bet big on AI and the company has created a new artificial intelligence engineering division called CoreAI. The new development-focused unit is headed by Jay Parikh -- once Meta's VP and global head of engineering -- and the intention is to speed up AI infrastructure and software development at Microsoft.

CEO Satya Nadella describes 2025 as being "about model-forward applications that reshape all application categories". Nadella clearly wants to power forward in what he says is the "next innings of this AI platform shift".

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You can’t have failed to notice that certain searches on Google now display AI-generated summaries, known as "AI Overviews," at the top of search results.

If you ask Google a question, such as “What is Bigfoot?” you will see an instant answer explaining that it is a “legendary, hairy, ape-like creature said to live in the forests of North America, especially in the Pacific Northwest.” That overview will also provide additional information about its size, appearance, location, and other names.

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