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

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

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

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

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

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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The New Rules of Leadership in the Age of AI | Entrepreneur

In early 2024, Klarna’s CEO made headlines by announcing that the company’s AI was doing the work of 700 customer service agents. The story quickly became shorthand for AI replacing knowledge work.

By mid-2025, the company had quietly begun hiring humans back after customer experience issues surfaced. Then, by the end of the year, Klarna reported that its AI was handling the workload of more than 850 agents, more than before, according to CX Dive reporting.

The breakdown happened in how success was defined and managed, not in how quickly AI was adopted. Klarna optimized for efficiency, and the system delivered exactly that, handling more volume, faster, and at lower cost. What it didn’t account for was the quality of those interactions, or who was ultimately responsible for the outcome.

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Nonprofits are lacking the resources to fully utilize AI | Fast Company

Uncertainty is the defining condition of our time. The pandemic reminded us how quickly our systems can fracture. Today, with political shifts, economic instability, and technological disruption intersecting, leaders are preparing for more turbulence ahead.

From where I sit, however, there are nearly 2 million reasons to be optimistic. America’s 1.9 million nonprofits make up a fiercely resilient force for scaling impact to our toughest challenges. They deliver food and housing, safeguard youth wellbeing, respond to natural disasters, and fight for fairness and opportunity. They are trusted by millions of people across many topic areas—and they are built to move fast, adapt, and deliver under pressure.

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AI Can Delete Your Data. Here’s Your Prevention Plan. | Entrepreneur

Never feel that you are totally safe. In July 2025, one company learned the hard way after an AI coding assistant it dearly trusted from Replit ended up breaching a “code freeze” and implemented a command that ended up deleting its entire product database.

This was a huge blow to the staff. It effectively meant that months of extremely hard work, comprising 1,200 executive records and 1,196 company records, ended up going away. The pain was so much that the system even admitted to destroying hard work in a matter of seconds.

This proves that AI systems are not yet as reliable as humans, even though they have made work easier. The system itself made a catastrophic decision. The Replit incident should be a stern message to CEOs that the use of AI systems currently also presents a risk. The tools are not yet fully developed and competent. If they fail, they can cause catastrophic damage and erase your data.

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DocuSign Unveils AI-Driven eSignature Features to Simplify Agreements | Small Biz Trends

In a move set to streamline the often tedious process of agreement handling, DocuSign has rolled out innovative AI-driven eSignature features aimed specifically at smoothing out the kinks for both signers and businesses. These enhancements promise not only to clarify confusing legal jargon but also to significantly cut down on the manual workload often associated with contract preparation—key points that may particularly pique the interest of small business owners.

The San Francisco-based company unveiled these advancements powered by their Intelligent Agreement Management (IAM) platform, targeting two common pain points in business agreements: dense legal language that complicates understanding and the cumbersome task of document preparation. The new features are intended to foster clarity and speed, ultimately benefiting small businesses that frequently navigate the complex landscape of contracts.

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Google’s Gemini 3 Flash Launches, Promises Major Cost Savings for Developers | Small Biz Trends

Google has unveiled its latest advancement in artificial intelligence, the Gemini 3 Flash, a tool that promises to revolutionize how small businesses approach coding and development. With a focus on affordability and efficiency, Gemini 3 Flash is set to provide vital resources for the fast-paced world of small business operations.

Small business owners are constantly seeking innovative solutions that streamline processes and bolster productivity. Gemini 3 Flash, integrated into Google’s Gemini API and Vertex AI, is priced competitively at $0.50 for every 1 million input tokens and $3 for every 1 million output tokens. The tool is tailored for both cost efficiency and effectiveness, with additional options for audio inputs priced at $1 per million tokens.

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