Google tests AI hosts for YouTube Music

Google is testing AI-generated hosts for YouTube Music through its new YouTube Labs programme. The AI hosts will appear while users listen to mixes and radio stations, providing commentary, fan trivia, and stories to enrich the listening experience.

The feature is designed to resemble a radio jockey but relies on AI, so there is a risk of occasional inaccuracies.

YouTube Labs, similar to Google Labs, allows the company to trial new AI features and gather user feedback before wider release. The AI hosts are currently available to a limited group of US testers, who can sign up via YouTube Labs and snooze commentary for an hour or all day.

The rollout follows Google’s Audio Overviews in NotebookLM, which turns research papers and documents into podcast-style summaries. Past AI experiments on YouTube, such as automatic dubbing, faced criticism as viewers had limited control over translations.

The AI hosts experiment shows Google’s push to integrate AI across its apps, enhancing engagement while monitoring feedback before wider rollout.

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Qwen3-Omni tops Hugging Face as China’s open AI challenge grows

Alibaba’s Qwen3-Omni multimodal AI system has quickly risen to the top of Hugging Face’s trending model list, challenging closed systems from OpenAI and Google. The series unifies text, image, audio, and video processing in a single model, signalling the rapid growth of Chinese open-source AI.

Qwen3-Omni-30B-A3B currently leads Hugging Face’s list, followed by the image-editing model Qwen-Image-Edit-2509. Alibaba’s cloud division describes Qwen3-Omni as the first fully integrated multimodal AI framework built for real-world applications.

Self-reported benchmarks suggest Qwen3-Omni outperforms Qwen2.5-Omni-7B, OpenAI’s GPT-4o, and Google’s Gemini-2.5-Flash, known as ‘Nano Banana’, in audio recognition, comprehension, and video understanding tasks.

Open-source dominance is growing, with Alibaba’s models taking half the top 10 spots on Hugging Face rankings. Tencent, DeepSeek, and OpenBMB filled most of the remaining positions, leaving IBM as the only Western representative.

The ATOM Project warned that US leadership in AI could erode as open models from China gain adoption. It argued that China’s approach draws businesses and researchers away from American systems, which have become increasingly closed.

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Balancing chaos and precision: The paradox of AI work

In a recent blog post, Jovan Kurbalija explores why working in AI often feels like living with two competing personalities. On one side is the explorer, curious, bold, and eager to experiment with new models and frameworks. That mindset thrives on quick bursts of creativity and the thrill of discovering novel possibilities.

Yet, the same field demands the opposite. The engineer’s discipline, a relentless focus on precision, validation, and endless refinement, until AI systems are impressive and reliable.

The paradox makes the search for AI talent unusually difficult. Few individuals naturally embody both restless curiosity and meticulous perfectionism.

The challenge is amplified by AI itself, which often produces plausible but uncertain outputs, requiring both tolerance for ambiguity and an insistence on accuracy. It is a balancing act between ADHD-like energy and OCD-like rigour—traits rarely found together in one professional.

The tension is visible across disciplines. Diplomats, accustomed to working with probabilities in unpredictable contexts, approach AI differently from software developers trained in deterministic systems.

Large language models blur these worlds, demanding a blend of adaptability and engineering rigour. Recognising that no single person can embody all these traits, the solution lies in carefully designed teams that combine contrasting strengths.

Kurbalija points to Diplo’s AI apprenticeship as an example of this approach. Apprentices are exposed to both the ‘sprint’ of quickly building functional AI agents and the ‘marathon’ of refining them into robust, trustworthy systems. By embracing this duality, teams can bridge the gap between rapid innovation and reliable execution, turning AI’s inherent contradictions into a source of strength.

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Microsoft adds AI auto-categorisation to Photos app

Microsoft is introducing an AI-powered auto-categorisation feature to the Photos app on Windows 11 for all Insider channels. The update automatically sorts images into screenshots, receipts, identity documents, and notes, making managing large photo libraries easier.

The feature is language-agnostic, recognising document types regardless of language, and aims to save time and reduce clutter.

Photos that match the AI model are grouped automatically, but users can browse categories via the app’s navigation or Search bar and manually reassign images if needed. The update adds Super Resolution to Copilot Plus PCs, enhancing low-resolution images with advanced AI.

Microsoft has included other unspecified fixes and improvements in the update, ensuring overall app performance is optimised. The company emphasises that the rollout may be gradual, so some features appear later for certain Insider users.

To access the new features, users must update the Photos app to version 2025.11090.25001.0 or higher via the Microsoft Store. The enhancements are part of Microsoft’s ongoing effort to make Windows 11 more intuitive, efficient, and AI-driven for everyday tasks.

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Technology and innovation define Researchers’ Night 2025 in Greece

Greece hosted the European Researchers’ Night 2025 on Friday, 26 September at the Thessaloniki Concert Hall, marking a significant celebration of science and technology.

The Centre coordinated it for Research and Technology Hellas (CERTH), which also celebrated its 25th anniversary.

Visitors experienced an extensive interactive technology exhibition featuring VR, autonomous robots and AI applications, alongside demonstrations across energy, digital systems and life sciences.

Attendees engaged directly with researchers and explored how cutting-edge research is transformed into practical innovations with societal and economic impact.

Contributions came from Aristotle University of Thessaloniki, the University of Ioannina, the International Hellenic University, the Anna Papageorgiou STEM Centre, the Hellenic Agricultural Organisation – DIMITRA, and the Astronomy Friends Association.

The event showcased CERTH’s spin-offs and technology transfer initiatives, highlighting how advanced research evolves into market-ready products and services. The ‘European Corner’ also presented EU policies and opportunities for research and innovation.

In parallel, the online ‘Chat Lab’ brought together 51 researchers for public discussions on emerging scientific issues until 3 October.

With simultaneous events in Athens, Heraklion, Patras, Larissa and Rethymno, the European Researchers’ Night once again reinforced the role of Greece in connecting frontier research with society.

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UNGA 80, US rejects a centralised AI rulebook

The US took a combative stance on global rules for AI at this week’s UN General Assembly (UNGA 80), rejecting efforts to place AI under any centralised international authority. While heads of state, corporate executives, and academics urged coordinated guardrails, Washington argued that the UN is not the venue to manage the technology and that countries should keep control over their AI policies.

At a Security Council session on Wednesday, Michael Kratsios, then head of the White House Office of Science and Technology Policy, said the US ‘totally rejects’ attempts by international bodies to impose global governance on AI. He framed the best path forward not as ‘bureaucratic management’ but as a system rooted in national independence and sovereignty, signalling clear resistance to top-down multilateral rules.

The White House nevertheless highlighted specific arenas where cross-border verification could matter. In his General Assembly speech a day earlier, President Donald Trump said the US plans to pioneer an AI-enabled verification system to help enforce the Biological Weapons Convention. He described AI as a technology with enormous upside and real risks, adding that the UN could still play a ‘constructive’ role on discrete projects.

US diplomats later tried to square that circle, saying that Washington supports cooperation with ‘like-minded nations’ and will push in international forums for governance approaches that spur innovation, align with American values, and counter authoritarian models. In other words, the US favours coalitions and standards it can help shape, rather than a single, UN-led regime.

Such a position clashed with multiple initiatives unveiled in New York. On Thursday, Secretary-General António Guterres launched the Global Dialogue on AI Governance, an all-member-state platform meant to ‘lay the cornerstones of a global AI ecosystem’ capable of keeping up with rapid advances. Nobel laureate Daron Acemoglu underscored the urgency, calling AI ‘the biggest threat that humanity has faced,’ a view intended to galvanise broad, coordinated oversight.

UN officials pushed back on the notion that the US is at odds with the organisation’s ambitions. Amandeep Singh Gill, the secretary-general’s envoy for digital and emerging technologies, said that Washington’s scepticism has been misread and that there is room for US leadership within an inclusive global process. For now, the fault line is clear: many governments want a common framework under UN auspices, while the US is betting on national sovereignty, flexible coalitions, and targeted tools, especially for security, over a single centralised AI rulebook.

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OpenAI for Germany to modernise public sector with AI

SAP SE and OpenAI have announced the launch of OpenAI for Germany, a partnership to bring advanced AI solutions to the public sector.

The initiative will combine SAP’s expertise with OpenAI’s AI technology, ensuring safe, responsible use while meeting strict German data, security, and legal standards. The platform will be supported by SAP’s Delos Cloud, running on Microsoft Azure technology.

Starting in 2026, the collaboration will help public sector staff and institutions streamline tasks, automate workflows, and focus on people rather than paperwork. Customised AI will be integrated into existing systems to improve records management and data analysis.

SAP plans to expand Delos Cloud infrastructure to 4,000 GPUs to support AI workloads and will explore further investment based on demand.

OpenAI for Germany aligns with the country’s national AI strategy, which aims for AI-driven value creation of up to 10% of GDP by 2030. The ‘Made for Germany’ initiative, supported by 61 companies including SAP, has pledged over €631 billion for growth and digital modernisation.

SAP has also committed more than €20 billion to reinforce Europe’s digital sovereignty.

SAP, OpenAI, and Microsoft executives emphasised the partnership’s focus on trust, safety, and operational resilience. The initiative underscores Germany’s commitment to AI, maintaining strict standards and ensuring benefits reach all public institutions.

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Bye Bye Google AI hides unwanted AI results in Search

Google is pushing AI deeper into its services, with AI Overviews already reaching billions of users and AI Mode now added to Search. Chrome is also being rebranded as an AI-first browser.

Not all users welcome these changes. Concerns remain about accuracy, intrusive design and Google’s growing control over how information is displayed. Unlike other features, AI elements in Search cannot be turned off directly, leaving users reliant on third-party solutions.

One such solution is the new ‘Bye Bye, Google AI’ extension, which hides AI-generated results and unwanted blocks such as sponsored links, shopping sections and discussion forums.

The extension works across Chromium-based browsers, though it relies on CSS and may break when Google updates its interface.

A debate that reflects wider unease about AI in Search.

While Google claims it improves user experience, critics argue it risks spreading false information and keeping traffic within Google’s ecosystem rather than directing users to original publishers.

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The strategic shift toward open-source AI

The release of DeepSeek’s open-source reasoning model in January 2025, followed by the Trump administration’s July endorsement of open-source AI as a national priority, has marked a turning point in the global AI race, writes Jovan Kurbalija in his blog ‘The strategic imperative of open source AI’.

What once seemed an ideological stance is now being reframed as a matter of geostrategic necessity. Despite their historical reliance on proprietary systems, China and the United States have embraced openness as the key to competitiveness.

Kurbalija adds that history offers clear lessons that open systems tend to prevail. Just as TCP/IP defeated OSI in the 1980s and Linux outpaced costly proprietary operating systems in the 1990s, today’s open-source AI models are challenging closed platforms. Companies like Meta and DeepSeek have positioned their tools as the new foundations of innovation, while proprietary players such as OpenAI are increasingly seen as constrained by their closed architectures.

The advantages of open-source AI are not only philosophical but practical. Open models evolve faster through global collaboration, lower costs by sharing development across vast communities, and attract younger talent motivated by purpose and impact.

They are also more adaptable, making integrating into industries, education, and governance easier. Importantly, breakthroughs in efficiency show that smaller, smarter models can now rival giant proprietary systems, further broadening access.

The momentum is clear. Open-source AI is emerging as the dominant paradigm. Like the internet protocols and operating systems that shaped previous digital eras, openness is proving more ethical and strategically effective. As researchers, governments, and companies increasingly adopt this approach, open-source AI could become the backbone of the next phase of the digital world.

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London faces major job shifts as AI takes hold

Nearly a million jobs in London face change as AI reshapes the workplace.

New research suggests repetitive roles such as telemarketing, bookkeeping, and data entry will be among the most affected, with women at greater risk since they comprise much of the workforce in these sectors.

Analysts from LiveCareer UK and McKinsey reported that job adverts for roles most exposed to automation have dropped sharply in the past three years.

They warn that fewer entry-level opportunities could damage the future workforce unless businesses rethink how to balance automation with human creativity and judgement.

Some organisations are already adapting AI to support staff instead of replacing them. At Queen Elizabeth Hospital, a pharmaceutical robot works alongside clinicians, using AI to predict medicine demand and improve patient safety.

Leaders at Lewisham and Greenwich NHS Trust argue AI should relieve staff of repetitive tasks so they can focus on higher-value care.

Across industries, firms from Ford to Microsoft predict significant disruption. Ford’s chief executive has suggested AI could replace half of white-collar roles in the US, while others argue it will boost productivity instead of eliminating jobs.

Tech companies such as Snap are experimenting with AI-driven creativity tools, insisting the technology should act as an aid for workers rather than a threat to employment.

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