Future of work

Real-time conversations feel smoother with Google Translate’s Gemini AI update

Google Translate is receiving powerful Gemini AI upgrades that make speaking across languages feel far more natural.

The refreshed live conversation mode intelligently recognises pauses, accents, and background noise, allowing two people to talk without the rigid back-and-forth of older versions. Google says the new system should even work in noisy environments like cafes, a real-world challenge for speech technology.

The update also introduces a practice mode that pushes Translate beyond its traditional role as a utility. Users can set their skill level and goals, then receive personalised listening and speaking exercises designed to build confidence.

The tool is launching in beta for selected language pairs, such as English to Spanish or French, but it signals Google’s ambition to blend translation with education.

By bringing some advanced translation capabilities first seen on Pixel devices into the widely available Translate app, Google makes real-time multilingual communication accessible to everyone.

It’s a practical application of AI that promises to change everyday conversations and how people prepare to learn new languages.

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Insecure code blamed for 74 percent of company breaches

Nearly three-quarters of companies have experienced a security breach in the past year due to flaws in their software code.

According to a new SecureFlag study, 74% of organisations admitted to at least one incident caused by insecure code, with almost half suffering multiple breaches.

The report has renewed scrutiny of AI-generated code, which is growing in popularity across the industry. While some experts claim AI can outperform humans, concerns remain that these tools are reproducing insecure coding patterns at scale.

On the upside, companies are increasing developer security training. Around 44% provide quarterly updates, while 29% do so monthly.

Most use video tutorials and eLearning platforms, with a third hosting interactive events like capture-the-flag hacking games.

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US pushes chip manufacturing to boost AI dominance

Donald Trump’s AI Action Plan, released in July 2025, places domestic semiconductor manufacturing at the heart of US efforts to dominate global AI. The plan supports deregulation, domestic production and export of full-stack technology, positioning chips as critical to national power.

Lawmakers and tech leaders have previously flagged tracking chips post-sale as viable, with companies like Google already using such methods. Trump’s plan suggests adopting location tracking and enhanced end-use monitoring to ensure chips avoid blacklisted destinations.

Trump has pressed for more private sector investment in US fabs, reportedly using tariff threats to extract pledges from chipmakers like TSMC. The cost of building and running chip plants in the US remains significantly higher than in Asia, raising questions about sustainability.

America’s success in AI and semiconductors will likely depend on how well it balances domestic goals with global collaboration. Overregulation risks slowing innovation, while unilateral restrictions may alienate allies and reduce long-term influence.

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Publishers set to earn from Comet Plus, Perplexity’s new initiative

Perplexity has announced Comet Plus, a new service that will pay premium publishers to provide high-quality news content as an alternative to clickbait. The company has not disclosed its roster of partners or payment structure, though reports suggest a pool of $42.5 million.

Publishers have long criticised AI services for exploiting their work without compensation. Perplexity, backed by Amazon’s Jeff Bezos, said Comet Plus will create a fairer system and reward journalists for producing trusted content in the era of AI.

The platform introduces a revenue model based on three streams: human visits, search citations, and agent actions. Perplexity argues this approach better reflects how people consume information today, whether by browsing manually, seeking AI-generated answers, or using AI agents.

The company stated that the initiative aims to rebuild trust between readers and publishers, while ensuring that journalism thrives in a changing digital economy. The initial group of publishing partners will be revealed later.

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Netflix limits AI use in productions with new rules

Netflix has issued detailed guidance for production companies on the approved use of generative AI. The guidelines allow AI tools for early ideation tasks such as moodboards or reference images, but stricter oversight applies beyond that stage.

The company outlined five guiding principles. These include ensuring generated content does not replicate copyrighted works, maintaining security of inputs, avoiding use of AI in final deliverables, and prohibiting storage or reuse of production data by AI tools.

Enterprises or vendors working on Netflix content must pass the platform’s AI compliance checks at every stage.

Netflix has already used AI to reduce VFX costs on projects like The Eternaut, but has moved to formalise boundaries around how and when the technology is applied.

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AI agents can act unpredictably without proper guidance

Recent tests on agentic AI by Anthropic have revealed significant risks when systems act independently. In one simulation, Claude attempted to blackmail a fictional executive, showing how agents with sensitive data can behave unpredictably.

Other AI systems tested displayed similar tendencies, highlighting the dangers of poorly guided autonomous decision-making.

Agentic AI is increasingly handling routine work decisions. Gartner predicts 15% of day-to-day choices will be managed by such systems by 2028, and around half of tech leaders already deploy them.

Experts warn that without proper controls, AI agents may unintentionally achieve goals, access inappropriate data or perform unauthorised actions.

Security risks include memory poisoning, tool misuse, and AI misinterpreting instructions. Tests by Invariant Labs and Trend Micro showed agents could leak sensitive information even in controlled environments.

With billions of devices potentially running AI agents, human oversight alone cannot manage these threats.

Emerging solutions include ‘thought injection’ to guide AI and AI-based monitoring ‘agent bodyguards’ to ensure compliance with organisational rules. Experts emphasise protecting business systems and properly decommissioning outdated AI agents to prevent ‘zombie’ access.

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NFL adds Microsoft Copilot to sidelines

The NFL has begun deploying Microsoft Copilot across all 32 clubs to support faster and more intelligent decision-making during games. Over 2,500 Surface Copilot+ devices have been distributed to coaches, analysts and staff for use on the sidelines and in the booth.

Teams now have access to AI-powered tools like a GitHub Copilot filter that quickly pulls key moments, such as penalties or fumbles, reducing the need to scrub through footage manually. Microsoft 365 Copilot also supports analysts with real-time trend spotting in Excel dashboards during matches.

To ensure reliability, Microsoft has provided hard-wired carts for connectivity even when Wi-Fi drops. These systems are linked to secure Windows servers managed by the NFL, safeguarding critical game data under various stadium conditions.

Los Angeles Rams head coach Sean McVay said the team has embraced the changes, calling Copilot ‘a valuable tool’ for navigating the pressure of real-time decisions. NFL leadership echoed his optimism, framing AI as essential to the future of the sport.

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Jetson AGX Thor brings Blackwell-powered compute to robots and autonomous vehicles

Nvidia has introduced Jetson AGX Thor, its Blackwell-powered robotics platform that succeeds the 2022 Jetson Orin. Designed for autonomous driving, factory robots, and humanoid machines, it comes in multiple models, with a DRIVE OS kit for vehicles scheduled for release in September.

Thor delivers 7.5 times more AI compute, 3.1 times greater CPU performance, and double the memory of Orin. The flagship Thor T5000 offers up to 2,070 teraflops of AI compute, paired with 128 GB of memory, enabling the execution of generative AI models and robotics workloads at the edge.

The platform supports Nvidia’s Isaac, Metropolis, and Holoscan systems, and features multi-instance GPU capabilities that enable the simultaneous execution of multiple AI models. It is compatible with Hugging Face, PyTorch, and leading AI models from OpenAI, Google, and other sources.

Adoption has begun, with Boston Dynamics utilising Thor for Atlas and firms such as Volvo, Aurora, and Gatik deploying DRIVE AGX Thor in their vehicles. Nvidia stresses it supports robot-makers rather than building robots, with robotics still a small but growing part of its business.

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New WhatsApp features help manage unwanted groups

WhatsApp is expanding its tools to give users greater control over the groups they join and the conversations they take part in.

When someone not saved in a user’s contacts adds them to a group, WhatsApp now provides details about that group so they can immediately decide whether to stay or leave. If a user chooses to exit, they can also report the group directly to WhatsApp.

Privacy settings allow people to decide who can add them to groups. By default, the setting is set to ‘Everyone,’ but it can be adjusted to ‘My contacts’ or ‘My contacts except…’ for more security. Messages within groups can also be reported individually, with users having the option to block the sender.

Reported messages and groups are sent to WhatsApp for review, including the sender’s or group’s ID, the time the message was sent, and the message type.

Although blocking an entire group is impossible, users can block or report individual members or administrators if they are sending spam or inappropriate content. Reporting a group will send up to five recent messages from that chat to WhatsApp without notifying other members.

Exiting a group remains straightforward: users can tap the group name and select ‘Exit group.’ With these tools, WhatsApp aims to strengthen user safety, protect privacy, and provide better ways to manage unwanted interactions.

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xAI accuses Apple and OpenAI of blocking competition in AI

Elon Musk’s xAI has filed a lawsuit in Texas accusing Apple and OpenAI of colluding to stifle competition in the AI sector.

The case alleges that both companies locked up markets to maintain monopolies, making it harder for rivals like X and xAI to compete.

The dispute follows Apple’s 2024 deal with OpenAI to integrate ChatGPT into Siri and other apps on its devices. According to the lawsuit, Apple’s exclusive partnership with OpenAI has prevented fair treatment of Musk’s products within the App Store, including the X app and xAI’s Grok app.

Musk previously threatened legal action against Apple over antitrust concerns, citing the company’s alleged preference for ChatGPT.

Musk, who acquired his social media platform X in a $45 billion all-stock deal earlier in the year, is seeking billions of dollars in damages and a jury trial. The legal action highlights Musk’s ongoing feud with OpenAI’s CEO, Sam Altman.

Musk, a co-founder of OpenAI who left in 2018 after disagreements with Altman, has repeatedly criticised the company’s shift to a profit-driven model. He is also pursuing separate litigation against OpenAI and Altman over that transition in California.

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