Tag: AI

Apple iOS 27: 4 new productivity shortcuts you should try today | Fast Company

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After months of beta testing, the iPhone’s newest operating system, iOS 27, is now available. This year, Apple focused on artificial intelligence features, smaller improvements, and bug fixes, making it a more subdued update than in years past. But that doesn’t mean iOS 27 lacks truly useful enhancements that can help boost your productivity throughout the day. Here are four of our favorites.

SIRI IS FINALLY GOOD ENOUGH TO BE YOUR ASSISTANT

It’s no secret that Siri, Apple’s personal digital assistant that has lived on the iPhone for nearly 15 years, has never been very useful, especially compared with modern-day chatbots like OpenAI’s ChatGPT or Anthropic’s Claude. But iOS 27 includes a completely revamped Siri, transitioning it from a legacy digital assistant to an LLM-powered agent, capable of having persistent, context-aware conversations that can not only help with your questions, but also carry out time-sucking admin work.

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AI Isn’t Enough—America Needs to Invest in Infrastructure, Too | AllBusiness.com

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Over the past two decades, innovation, technology, entrepreneurship, and research have defined and fueled America’s economic growth. These advances sparked a digital revolution, from the iPhone and rapid expansion of the internet to the widespread digitalization of our economy, which fundamentally reshaped how we live, work, and communicate.

But the rise of artificial intelligence, advanced manufacturing, electrification, supply-chain resilience, and domestic reshoring has changed the equation. Our digital economy now depends on physical systems every bit as much as software and innovation. The defining challenge of the next decade won’t be whether we can invent the future; it will be whether we can build it and whether we can do so with the same ambition and confidence that once defined America.

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The real AI danger is not superintelligence. It is premature trust. | Andrew Rogoyski | Live Science

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Artificial intelligence (AI) terrifies us partly because it is new and partly because it is disturbingly familiar. We have invented machines that converse, flatter, argue, and improvise with uncanny fluency. Confronted by this synthetic reflection, we behave like early humans seeing a mirror for the first time: We project consciousness behind the glass, then populate it with our expected behaviors, emotions, hopes, and nightmares. In other words, we scare ourselves.

Today’s frontier models are impressively good at writing, coding, and math. Yet they still fail at ingredients of useful artificial general intelligence (AGI), a system that matches or surpasses human capabilities such as consistent reasoning, long-term planning, factual consistency, and reliable performance outside their “experience” (the data they were trained on). We are right to worry about the theoretical dangers of artificial superintelligence (ASI) because of the danger that such a system might outwit its human creators and pursue its own ends, potentially at our expense. While some AI executives have asserted that we’ve reached AGI, these claims are contentious and do not meet more considered definitions of AGI.

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Apple may have accidentally revealed what’s next for Apple TV and HomePod | Digital Trends

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Apple’s big AI push has reached the iPhone, iPad, and Mac, but a couple of noticeable devices are missing from the conversation. The Apple TV and HomePod have largely been left watching from the sidelines, despite Siri being such an important part of how you interact with both. That could finally change.

With iOS 27 getting closer to its public release, the latest beta appears to contain another clue that Apple is preparing to bring Apple Intelligence features to its living room devices. As spotted by Apple Home Authority, the Home app now includes a new menu called “Apple Intelligence Report” for compatible Apple TV and HomePod devices running beta software. On its own, a menu buried inside a beta might not sound particularly exciting. But considering neither the Apple TV nor HomePod currently supports Apple Intelligence, its appearance raises some interesting questions about what Apple has planned for later this year.

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SpaceX revenue jumps 92% but stock tumbles as investors weigh AI spending | CNN Business

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SpaceX’s first earnings report as a public company blew past expectations. But it continued to burn through cash in pursuit of CEO Elon Musk’s vision for an AI-powered, Mars-colonizing future, putting investors on edge and sending SpaceX shares down in late trading.

The newly public satellite, space, and AI behemoth brought in $7.8 billion in revenue in the April-June quarter, which SpaceX said was up 92% from the same period in 2025. But the company remained unprofitable, losing $541 million in the second quarter, following a $4.3 billion loss in the first three months of the year.

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Australia dock workers call for 28-hour week in AI talks | BBC News

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Australian dock workers are demanding a 28-hour work week with no loss of pay as the use of artificial intelligence (AI) and automation expands across the country’s ports.

The AI push is being led by port logistics giant DP World, which the Maritime Union of Australia (MUA) said has put workers’ jobs “in the crosshairs”.

The union said, “If DP World wants AI and automation, then they must pay the social dividend. The new technology doesn’t have to cost our members their jobs or put their livelihoods at risk just so a terminal operator can boost profits.”

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Is AI Use Really Legal? Here’s Why You Need a Governance Plan | Entrepreneur

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The first wave of artificial intelligence adoption was driven by speed. Companies wanted faster research, faster drafting, faster customer service, faster sales, faster decisions. In boardrooms and management meetings, AI was presented as a productivity tool, a cost-saving mechanism, and in some cases, a competitive necessity.

That phrase is already giving way to something more serious. The next wave of AI will not be defined only by what companies can automate. It will be defined by what they can explain, defend, and govern.

That is where many businesses are dangerously unprepared. For all the excitement around AI, a basic legal question remains unanswered in many organizations: If an AI system produces a harmful, biased, false, or commercially damaging outcome, who is responsible?

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What is quantum computing, and why does Trump care? | Mashable

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It’s been a week since President Trump signed an executive order directing a whole-of-government push on quantum computing — funding it, securing its supply chains, building its workforce, and making sure adversaries like China don’t get there first.

This marks a significant federal commitment to a technology that is either the next great computing revolution or the most expensive science experiment in history, depending on the expert opinion. But one thing it can do: replace AI as the carrier of long-term hopes for the tech industry. This would be the right moment for a switch, as the vibe shifts on AI itself: models are more expensive to train, returns are harder to demonstrate. Investors who have sent AI stock soaring may soon be looking for the next big thing to believe in.

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History of computers: Timeline of key events & technological breakthroughs | Live Science

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The history of computers is fascinating because it’s also the history of the world. Join us on a whirlwind tour of the great technological breakthroughs of the past few centuries, from Ada Lovelace to Alan Turing. Then we’ll bring you bang up to date, explaining the influence of Bill Gates and Steve Jobs, right up to the current state of play with regard to artificial intelligence (AI) and quantum computing.

We’ll also bust a few myths along the way. Who really created the first computer? Was it John Mauchly with ENIAC? Alan Turing with his theoretical Turing Machine? Konrad Zuse with the Z3? Or could it actually be Charles Babbage with his Difference and Analytical Engines?

We’re keen to redress any gender imbalances, too. While the history of computing has been dominated by men (again, reflecting world history), many important contributions have also come from women. Not least Ada Lovelace, who some consider the first programmer, and the computer pioneer Grace Hopper.

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How Technology Is Transforming Property and Casualty Insurance | The Startup Magazine

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Technologies including artificial intelligence (AI), data analytics, IoT devices, and cloud computing are helping P&C insurers automate, scale, and personalize their offerings. Startups and established carriers alike are leveraging this technology to meet shifting customer demands, outpace risk, and stay ahead in a highly competitive marketplace. As a result, the role of digital transformation is now central to the future of property and casualty insurance.

Notably, the growing use of sensors and real-time data collection through the Internet of Things allows insurers to shift their approach from reactive claims processing to proactive risk prevention. Meanwhile, the broad adoption of cloud infrastructure empowers insurance companies of all sizes to access scalable digital tools without heavy investment in on-site technology.

Data-driven decision making powers the modern underwriting process, and carriers that embrace innovations such as AI stand to process claims faster and underwrite risks with far greater accuracy than those using traditional methods.

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