Spotify is launching a new Messages feature, enabling users aged 16 and older in select markets to share music, podcasts, and audiobooks directly within the app. The update lets users chat one-on-one with friends and family to share and discuss favourite content.
Users can react with emojis and text, accept or reject message requests, and see suggested contacts based on past sharing, collaborative playlists, or Family and Duo plans. The feature complements existing social media sharing options rather than replacing them.
Artists, authors, and creators benefit as Messages encourages word-of-mouth discovery, helping new content reach wider audiences. Conversations are secured with encryption, and Spotify applies moderation tools and reporting features to maintain a safe environment.
Spotify plans to refine and expand the feature globally in the coming months, aiming to make connecting over music, podcasts, and audiobooks more seamless and engaging.
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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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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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Coinbase CEO Brian Armstrong has revealed that he fired engineers who refused to begin using AI coding tools after the company adopted GitHub Copilot and Cursor. Armstrong shared the story during a podcast hosted by Stripe co-founder John Collison.
Engineers were told to onboard with the tools within a week. Armstrong arranged a Saturday meeting for those who had not complied and said that employees without valid reasons would be dismissed. Some were excused due to holidays, while others were let go.
Collison raised concerns about relying too heavily on AI-generated code, prompting Armstrong to agree. Past reports have described challenges with managing code produced by AI, even at companies like OpenAI. Coinbase did not comment on the matter.
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Professor Orla Sheils of Trinity College Dublin calls on universities to embrace AI as a tool for educational equity rather than fear. She notes that AI is already ubiquitous in higher education, with students, lecturers, and researchers using it daily.
AI can help universities fulfil the democratic ideals of the Bologna Process and Ireland’s National AI Strategy by expanding lifelong learning, making education more accessible and supporting personalised student experiences.
Initiatives such as AI-driven tutoring, automated transcription and translation, streamlined timetabling and grading tools can free staff time while supporting learners with challenging schedules or disabilities.
Trinity’s AI Accountability Lab, led by Dr Abeba Birhane, exemplifies how institutions can blend innovation with ethics. Sheils warns that overreliance on AI risks academic integrity and privacy unless governed carefully. AI must serve educators, not replace them, preserving the human qualities of creativity and judgement in learning.
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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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South Korea’s new administration has unveiled a five-year economic plan to build what it calls a ‘super-innovation economy’ by integrating AI across all sectors of society.
The strategy, led by President Lee Jae-myung, commits 100 trillion won (approximately US$71.5 billion) to position the country among the world’s top three AI powerhouses. Private firms will drive development, with government support for nationwide adoption.
Plans include a sovereign Korean-language AI model, humanoid robots for logistics and industry, and commercialising autonomous vehicles by 2027. Unmanned ships are targeted for completion by 2030, alongside widespread use of drones in firefighting and aviation.
AI will also be introduced into drug approvals, smart factories, welfare services, and tax administration, with AI-based tax consultations expected by 2026. Education initiatives and a national AI training data cluster will nurture talent and accelerate innovation.
Five domestic firms, including Naver Cloud, SK Telecom, and LG AI Research, will receive state support to build homegrown AI foundation models. Industry reports currently rank South Korea between sixth and 10th in global AI competitiveness.
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College students are increasingly turning to AI chatbots for emotional support, prompting concern among mental health professionals. A 2025 report ranked ‘therapy and companionship’ as the top use case for generative AI, particularly among younger users.
Studies by MIT and OpenAI show that frequent AI use can lower social confidence and increase avoidance of face-to-face interaction. On campuses, digital mental health platforms now supplement counselling services, offering tools that identify at-risk students and provide basic support.
Experts warn that chatbot companionship may create emotional habits that lack grounding in reality and hinder social skill development. Counsellors advocate for educating students on safe AI use and suggest universities adopt tools that flag risky engagement patterns.
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Communication, empathy, and judgment were dismissed for years as ‘soft skills‘, sidelined while technical expertise dominated training and promotion. A new perspective argues that these human competencies are fundamental to resilience and transformation.
Researchers and practitioners emphasise that AI can expedite decision-making but cannot replace human judgment, trust, or narrative. Failures in leadership often stem from a lack of human capacity rather than technical gaps.
Redefining skills like decision-making, adaptability, and emotional intelligence as measurable behaviours helps organisations train and evaluate leaders effectively. Embedding these human disciplines ensures transformation holds under pressure and uncertainty.
Career and cultures are strengthened when leaders are assessed on their ability to build trust, resolve conflicts, and influence through storytelling. Without funding the human core alongside technical skills, strategies collapse, and talent disengages.
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Google Translate may soon evolve into a full-featured language learning tool, introducing AI-powered lessons rivalling apps like Duolingo.
The latest Translate app release recently uncovered a hidden feature called Practice. It enables users to take part in interactive learning scenarios.
Early tests allow learners to choose languages such as Spanish and French, then engage with situational exercises from beginner to advanced levels.
The tool personalises lessons using AI, adapting difficulty and content based on a user’s goals, such as preparing for specific trips.
Users can track progress, receive daily practice reminders, and customise prompts for listening and speaking drills through a dedicated settings panel.
The feature resembles gamified learning apps and may join Google’s premium AI offerings, though pricing and launch plans remain unconfirmed.
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