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As the AI buildout continues and models improve from generation to generation, fears persist over how useful this technology will actually be in practice and whether AI will reach a ceiling before it makes a meaningful impact.

The late Apple co-founder Steve Jobs had a reputation for being ahead of the curve. At the time, Microsoft was heavily pushing touchscreen computing in an attempt to innovate and embrace new possibilities when interfacing with machines; Jobs dug his heels in and refused to take Apple down that same path.

AI has changed many aspects of the professional world, especially the practice of software development and engineering. A swathe of tools and platforms now enable programmers to use AI assistants and copilots – as well as swarms of agents – to work on building systems autonomously, based on instructions. And for one key figure in…

Eric Steven Raymond, widely known as ‘ESR’ has been a large presence in the software development space for many decades, making key contributions to the school of development, programming languages, and the open the closed-

The future of AI lies squarely in the physical realm, according to many industry figures such as Nvidia CEO Jensen Huang. Much of the evolution of AI in recent years has, as expected, been in aid of building machines that can learn quicker, think faster, and interact with the physical world in a more compelling…

Many AI developers and frontier labs are openly pursuing artificial general intelligence (AGI), which scientists describe as human-like intelligence in which a model can reason like humans and learn new capabilities outside its training data. But does that mean that they’re all on the right path?

Although AI has sucked up all the bandwidth of public discourse across the tech industry, quantum computing is arguably just as revolutionary a technology – but remains dormant for now. That said, key breakthroughs in the last couple of years are said to mean that these machines could be ‘useful’ before too long.

Known as the ‘Godfather of AI’ for his work throughout the decades in pioneering the underlying architecture behind the intelligent systems we use daily, Nobel Prize-winning computer scientist Geoffrey Hinton has added his voice to the already saturated chorus projecting a possible AI doomsday scenario within our lifetime.

There are dozens of companies out there building the first wave of mass-produced humanoid robots, with these androids poised to change the way our society works for the better – or so they say.

The pace of growth in AI has been fast since ChatGPT debuted in November 2022, and many predict the current neural network-based technology can one day scale up to outperform humans. This has long been a theorized possibility in the industry, but might we finally have the technology to realize this vision?