AI-generated writing may be giving itself away, and the em dash is its most flamboyant tell. Long beloved by grammar nerds for its versatility, the em dash has become AI’s go-to flourish, but not everyone is impressed.
Pacing, pauses, and a suspicious number of em dashes are often a sign that a machine had its hand in the prose. Even simple requests for editing can leave users with sentences reworked into what feels like an AI-powered monologue.
Though tools like ChatGPT or Gemini can be powerful assistants, using them blindly can dull the human spark. Overuse of certain AI quirks, like rhetorical questions, generic phrases or overstyled punctuation, can make even an honest email feel like corporate poetry.
Writers are being advised to take the reins back. Draft the first version by hand, let the AI refine it, then strip out anything that feels artificial, especially the dashes. Keeping your natural voice intact may be the best way to make sure your readers are connecting with you, not just the machine behind the curtain.
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Hackers linked to the ShinyHunters group have compromised Google’s Salesforce systems, leading to a data leak that puts Gmail and Google Cloud users at risk of phishing attacks.
Google confirmed that customer and company names were exposed, though no passwords were stolen. Attackers are now exploiting the breach with phishing schemes, including fake account resets and malware injection attempts through outdated access points.
With Gmail and Google Cloud serving around 2.5 billion users worldwide, both companies and individuals could be targeted. Early reports on Reddit describe callers posing as Google staff warning of supposed account breaches.
Google urges users to strengthen protections by running its Security Checkup, enabling Advanced Protection, and switching to passkeys instead of passwords. The company emphasised that its staff never initiates unsolicited password resets by phone or email.
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Bluesky, a decentralised social media platform, has ceased operations in Mississippi due to a new state law requiring strict age verification.
The company said compliance would require tracking users, identifying children, and collecting sensitive personal information. For a small team like Bluesky’s, the burden of such infrastructure, alongside privacy concerns, made continued service unfeasible.
The law mandates age checks not just for explicit content, but for access to general social media. Bluesky highlighted that even the UK Online Safety Act does not require platforms to track which users are children.
US Mississippi law has sparked debate over whether efforts to protect minors are inadvertently undermining online privacy and free speech. Bluesky warned that such legislation may stifle innovation and entrench dominance by larger tech firms.
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Meta has confirmed a new partnership with Midjourney to license its AI image and video generation technology. The collaboration, announced by Meta Chief AI Officer Alexandr Wang, will see Meta integrate Midjourney’s tools into upcoming models and products.
Midjourney will remain independent following the deal. CEO David Holz said the startup, which has never taken external investment, will continue operating on its own. The company launched its first video model earlier this year and has grown rapidly, reportedly reaching $200 million in revenue by 2023.
Midjourney is currently being sued by Disney and Universal for alleged copyright infringement in AI training data. Meta faces similar challenges, although courts have often sided with tech firms in recent decisions.
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Folk singer Emily Portman has become the latest artist targeted by fraudsters releasing AI-generated music in her name. Fans alerted her to a fake album called Orca appearing on Spotify and iTunes, which she said sounded uncannily like her style but was created without her consent.
Portman has filed copyright complaints, but says the platforms were slow to act, and she has yet to regain control of her Spotify profile. Other artists, including Josh Kaufman, Jeff Tweedy, Father John Misty, Sam Beam, Teddy Thompson, and Jakob Dylan, have faced similar cases in recent weeks.
Many of the fake releases appear to originate from the same source, using similar AI artwork and citing record labels with Indonesian names. The tracks are often credited to the same songwriter, Zyan Maliq Mahardika, whose name also appears on imitations of artists in other genres.
Industry analysts say streaming platforms and distributors are struggling to keep pace with AI-driven fraud. Tatiana Cirisano of Midia Research noted that fraudsters exploit passive listeners to generate streaming revenue, while services themselves are turning to AI and machine learning to detect impostors.
Observers warn the issue is likely to worsen before it improves, drawing comparisons to the early days of online piracy. Artists and rights holders may face further challenges as law enforcement attempts to catch up with the evolving abuse of AI.
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Entities holding Ethereum treasuries now collectively control over $10 billion worth of ETH. Data from the Strategic ETH Reserve shows 64 organisations hold 2.73 million ETH, accounting for 2.27% of the total supply, highlighting the growing corporate adoption of Ethereum.
Leading the accumulation are Bitmine Immersion Tech, Sharplink Gaming, and The Ether Machine, together holding more than 1.3 million ETH. Most of these acquisitions occurred in under three months, with Bitmine alone now holding over $2 billion worth of ETH.
Public companies continue to plan further purchases, though they are taking a measured approach to limit risks.
Ethereum’s price has steadied around $3,700–$3,800, stalling short of the $4,000 mark investors had hoped to see on the token’s 10th anniversary. Despite this, on-chain activity remains strong, with over 680,000 active wallets and ETH showing significant gains independent of Bitcoin.
DeFi protocols, crypto-native organisations, and even governments also feature among the largest ETH holders. The Ethereum Foundation ranks fourth with 234,600 ETH, while the US government, Michigan State, and Bhutan maintain reserves, demonstrating Ethereum’s broad adoption across sectors.
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The United Kingdom has unveiled a strategy to grow its digital economy to £1 trillion by harnessing AI, quantum computing, and cybersecurity. The plan emphasises public-private partnerships, training, and international collaboration to tackle skills shortages and infrastructure gaps.
The initiative builds on the UK tech sector’s £1.2 trillion valuation, with regional hubs in cities such as Bristol and Manchester fuelling expansion in emerging technologies. Experts, however, warn that outdated systems and talent deficits could stall progress unless workforce development accelerates.
AI is central to the plan, with applications spanning healthcare and finance. Quantum computing also features, with investments in research and cybersecurity aimed at strengthening resilience against supply disruptions and future threats.
The government highlights sustainability as a priority, promoting renewable energy and circular economies to ensure digital growth aligns with environmental goals. Regional investment in blockchain, agri-tech, and micro-factories is expected to create jobs and diversify innovation-driven growth.
By pursuing these initiatives, the UK aims to establish itself as a leading global tech player alongside the US and China. Ethical frameworks and adaptive strategies will be key to maintaining public trust and competitiveness.
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OpenAI has launched GPT-4b micro, an AI model developed with longevity startup Retro Biosciences to accelerate protein engineering. Unlike chatbots, it focuses on biological sequences and 3D structures.
The model redesigned two Yamanaka factors- proteins that convert adult cells into stem cells, showing 50-fold higher efficiency in lab tests and improved DNA repair. Older cells acted more youthful, potentially shortening trial-and-error in regenerative medicine.
AI-designed proteins could speed up drug development and allow longevity startups to rejuvenate cells safely and consistently. The work also opens new possibilities in synthetic biology beyond natural evolution.
OpenAI emphasised that the research is still early and lab-based, with clinical applications requiring caution. Transparency is key, as the technology’s power to design potent proteins quickly raises biosecurity considerations.
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Google is urging its workforce to adopt AI in everyday tasks instead of relying solely on traditional methods.
CEO Sundar Pichai has warned that falling behind in AI could risk the company’s competitive edge, especially as rivals like Microsoft, Amazon and Meta push their staff to embrace similar tools.
Early trials inside Google suggest a significant boost in efficiency, with engineers reporting a 10% increase in weekly productivity after adopting AI.
The company has launched a training initiative called AI Savvy Google to accelerate the shift. The programme provides courses, toolkits and hands-on sessions to help employees integrate AI into their workflows.
One of the standout tools is Cider, an AI-powered coding assistant already used by half of the engineers with access to it.
Executives believe AI will soon become an essential part of software engineering. Brian Saluzzo, a senior leader at Google, told staff that internal AI tools will continue to improve and become deeply embedded in coding work.
The company stresses the importance of using AI to support rather than replace workers, with the training programme designed to upskill employees instead of pushing them aside.
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American technology company Nvidia has unveiled Spectrum-XGS Ethernet, a new networking technology designed to connect multiple data centres into unified giga-scale AI factories.
With AI demand skyrocketing, single facilities are hitting limits in power and capacity, creating the need for infrastructure that can operate across cities, nations and continents.
Spectrum-XGS extends Nvidia’s Spectrum-X Ethernet platform, introducing what the company calls a ‘scale-across’ approach, alongside scale-up and scale-out models.
Integrating advanced congestion control, latency management, and telemetry nearly doubles the performance of the Nvidia Collective Communications Library, allowing geographically distributed data centres to function as one large AI cluster.
Early adopters like CoreWeave are preparing to link their facilities using the new system. According to Nvidia, the technology offers 1.6 times greater bandwidth density than traditional Ethernet and features Spectrum-X switches and ConnectX-8 SuperNICs, optimised for hyperscale AI operations.
The company argues that the approach will define the next phase of AI infrastructure, enabling super-factories to manage millions of GPUs while improving efficiency and lowering operational costs.
Nvidia CEO Jensen Huang described the development as part of the AI industrial revolution, highlighting that Spectrum-XGS can unify data centres into global networks that act as vast, giga-scale AI super-factories.
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