Articles about Artificial Intelligence

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tried and true method for malicious attackers stands out as a weak point for nearly every enterprise attack surface: outdated software.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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VLC Media Player remains one of the most popular video players, having just hit a staggering 6 billion downloads. But VideoLAN, the company behind the software, is not one to rest on its laurels as an exciting demonstration at CES shows.

One of the biggest features in the pipeline for the media player is automatic subtitles generation and translation based on local, open-source AI models. With subtitles being vital for a lot of people, and highly preferable for many, this use of artificial intelligence plugs an important gap in media accessibility.

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Even though it’s only been two years since the public demo of ChatGPT launched, popularizing the technology for the masses, generative AI technology has already had a profound and transformative effect on the world. In the years since the platform’s launch, critics have regularly pointed out the risks of generative AI and called for increased regulation to mitigate them. Once these risks are addressed, companies will be more free to use AI in ways that help their bottom line and the world as a whole.

We must remember that artificial intelligence is a powerful tool, and as the adage goes, “With great power comes great responsibility.” Although we have seen AI make a positive impact on society in several ways -- from boosting productivity in industrial settings to contributing to life-saving discoveries in the medical field -- we have also seen wrongdoers abuse the technology to cause harm.

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As organizations strive for greater project management efficiency, AI can be a powerful tool to identify inefficiencies, anticipate risks, and improve decision-making. From content creation to data summarization, generative AI (GenAI) transforms how teams work by quickly creating valuable outputs with less effort. For example, a daily sprint report that might take a team member up to an hour to compile can be generated in seconds by AI that is trained to summarize data from multiple sources.

Over time, small efficiencies like these are multiplied, leading to extensive time savings across teams and organizations. By handling repetitive tasks, GenAI models give teams more time to focus on collaboration, strategic thinking, and creative problem-solving.

In large companies, particularly those with high staff turnover or matrixed, cross-functional teams, new team members often face a steep learning curve when adapting to the team’s specific tools and processes. By functioning as a copilot, an ever-present, always-patient expert on all things project management, GenAI can provide answers from both static documentation and real-time data. When getting up to speed in a new role, a manager could ask a GenAI copilot what is happening across a team that could, over time, negatively impact the projects they are working on. The feedback given can help address these issues, reduce the manager’s learning curve, and provide on-the-job training that delivers immediate, actionable insights.

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Every time January rolls around there are declarations that this will be the year of Linux on the desktop -- and of course, it never is. This year is no different, and Microsoft would much rather you consider 2025 to be the “year of the Windows 11 PC refresh”.

The company is using CES as a platform to encourage people who are still hanging on to Windows 10 to loosen their grip and move to Windows 11. The end of support for Windows 10 is being used as a stick, but the carrot is the new breed of AI-powered Copilot+ PCs. Microsoft is hoping that the artificial intelligence driven capabilities of this recently launched range of PCs will also encourage existing Windows 11 users to invest in new hardware.

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In what could be seen as a perfect demonstration of AI simply not being suitable for many of the things it is being used for, Apple upset the BBC recently after AI-generated headlines pushed fake news to iOS users.

Back in mid-December, the BBC complained to Apple about a headline from the iPhone-maker which stated that the murderer of healthcare insurance CEO Brian Thompson had completed suicide. While Apple said nothing in response at the time, the company has now revealed plans to change how AI-generated headlines are flagged to make the use of AI more apparent.

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The life sciences and healthcare industries have critical challenges to overcome in 2025. Costs in both are on the rise, forcing business leaders to seek out more efficient methods for developing and delivering new products and services. Additionally, consumer expectations are higher than ever, with patients and other clients looking for features that maximize convenience and accessibility.

To help with these challenges, industry leaders should consider the potential of artificial intelligence. AI has been transforming the business world by providing the power to automate, analyze, and increase efficiency in unprecedented ways. For life sciences and healthcare, AI provides the capability to gather and analyze data in a way that drives better outcomes and delivers better consumer experiences.

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As AI marks its stamp on every industry, the software development landscape is experiencing a rapid transformation driven by the integration of automation into coding practices. With approximately $1 billion invested in AI-driven code solutions since early 2022, we’re seeing a shift that goes far beyond just automation. This transformation is redefining the entire software development lifecycle and testing assumptions about what it means to be a developer.  

It is clear, as we embark at the beginning of a new era, that the future of coding does not reside in opposing change, but in adapting our approaches to education and practice in software development. 

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