Creators get AI-made background music on YouTube

YouTube has introduced a new AI-powered tool that creates free background music for video creators, helping them avoid copyright issues. The feature, known as Music Assistant, was showcased on YouTube’s Creator Insider channel and is designed to match music to a video’s tone using simple text prompts.

Users can enter descriptions such as ‘uplifting and motivational music for a workout montage’, and the tool will generate several suitable tracks for review and download. Music Assistant is currently available within YouTube’s Creator Music beta section and is being rolled out gradually to those with access.

YouTube’s move follows broader industry trends, with companies like Stability AI and Meta also developing similar music-generating technologies.

The platform has already been experimenting with AI music through features like Dream Track and a music remixer for Shorts, allowing further creative flexibility for users.

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AI could be Geneva’s lifeline in times of crisis

International Geneva is at a crossroads. With mounting budget cuts, declining trust in multilateralism, and growing geopolitical tensions, the city’s role as a hub for global cooperation is under threat.

In his thought-provoking blog, ‘Don’t waste the crisis: How AI can help reinvent International Geneva’, Jovan Kurbalija, Executive Director of Diplo, argues that AI could offer a way forward—not as a mere technological upgrade but as a strategic tool for transforming the city’s institutions and reviving its humanitarian spirit. Kurbalija envisions AI as a means to re-skill Geneva’s workforce, modernise its organisations, and preserve its vast yet fragmented knowledge base.

With professions such as translators, lawyers, and social scientists potentially playing pivotal roles in shaping AI tools, the city can harness its multilingual, highly educated population for a new kind of innovation. A bottom-up approach is key: practical steps like AI apprenticeships, micro-learning platforms, and ‘AI sandboxes’ would help institutions adapt at their own pace while avoiding the pitfalls of top-down tech imposition.

Organisations must also rethink how they operate. AI offers the chance to cut red tape, lighten the administrative burden on NGOs, and flatten outdated hierarchies in favour of more agile, data-driven decision-making.

At the same time, Geneva can lead by example in ethical AI governance—by ensuring accountability, protecting human rights and knowledge, and defending what Kurbalija calls our ‘right to imperfection’ in an increasingly optimised world. Ultimately, Geneva’s challenge is not technological—it’s organisational.

As AI tools become cheaper and more accessible, the real work lies in how institutions and communities embrace change. Kurbalija proposes a dedicated Geneva AI Fund to support apprenticeships, ethical projects, and local initiatives. He argues that this crisis could be Geneva’s opportunity to reinvent itself for survival and to inspire a global model of human-centred AI governance.

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Mood-based AI search tool tested by Netflix

Netflix is testing a new AI-powered search tool that could transform how users discover content on the platform.

Developed in collaboration with OpenAI, the feature goes beyond traditional search methods by allowing subscribers to use natural language queries based on mood, themes or descriptions rather than just titles or actors.

Currently, the tool is available only to a limited number of users in Australia and New Zealand using iOS devices, with opt-in access required. Netflix plans to expand the test to more regions, including the United States, in the near future.

The move highlights the streaming giant’s growing investment in AI, which it already uses for personalised recommendations.

Despite embracing AI, Netflix has stated it does not intend to replace creatives with technology. The company has publicly acknowledged concerns from the film and television industry, promising that writers, actors, and filmmakers remain central to its content creation strategy.

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ChatGPT gets infinite memory upgrade

OpenAI is introducing a major upgrade to ChatGPT’s memory capabilities, allowing the AI to retain all previous conversations indefinitely. CEO Sam Altman described the development as a step toward making ChatGPT a more personalised assistant that better adapts to users over time.

Previous versions of the AI could only remember chats from the past few weeks, which helped with ongoing projects and stylistic consistency.

The new update goes much further, enabling ChatGPT to recall details from all prior conversations and use them to offer more tailored support, such as giving lifestyle advice or acting as a personal coach.

The feature will initially roll out to ChatGPT Plus and Pro subscribers, with broader availability likely in the future. However, the move has sparked some concerns around privacy, as the AI’s enhanced recall could allow anyone with account access to uncover personal details with a simple prompt.

Users may wish to take precautions, such as setting up custom instructions to limit the disclosure of sensitive information.

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UAE experts warn on AI privacy risks in art apps

A surge in AI applications transforming selfies into Studio Ghibli-style artwork has captivated social media, but UAE cybersecurity experts are raising concerns over privacy and data misuse.

Dr Mohamed Al Kuwaiti, Head of Cybersecurity for the UAE Government, warned that engaging with unofficial apps could lead to breaches or leaks of personal data. He emphasised that while AI’s benefits are clear, users must understand how their personal data is handled by these platforms.

He called for strong cybersecurity standards across all digital platforms, urging individuals to be more cautious with their data.

Media professionals are also sounding alarms. Adel Al-Rashed, an Emirati journalist, cautioned that free apps often mimic trusted platforms but could exploit user data. He advised users to stick to verified applications, noting that paid services, like ChatGPT’s Pro edition, offer stronger privacy protections.

While acknowledging the risks, social media influencer Ibrahim Al-Thahli highlighted the excitement AI brings to creative expression. He urged users to focus on education and safe engagement with the technology, underscoring the UAE’s goal to build a resilient digital economy.

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AI transforms global healthcare with major growth ahead

The healthcare sector is poised for significant growth as AI continues to revolutionise the industry. A new report from Avant Technologies predicts an influx of AI-powered solutions in healthcare, with key technology giants leading the charge.

Avant Technologies and Ainnova, in their joint venture, plan to showcase their AI-powered Vision AI platform at the 2025 Mexico Healthcare Innovation Summit.

The platform, aimed at early disease detection, is nearing approval from the US Food and Drug Administration (FDA) and is already in clinical trials in Southeast Asia and South America.

Apple and Amazon are also entering the AI healthcare space, with Apple launching an AI-powered health coach to guide users on diet and exercise, while Amazon is expanding its AI solutions with a healthcare chatbot.

Meanwhile, GE Healthcare has seen success with its AI-driven cardiac imaging, which has garnered FDA approval. The World Health Organization (WHO) supports AI integration in healthcare, particularly for outpatient care and early diagnosis, though it has urged regulators to be cautious of potential risks.

AI in healthcare is expected to grow exponentially, reaching a market valuation of $613 billion by 2034. The sector’s rapid expansion is driven by increasing adoption rates, particularly for early disease detection, administrative efficiency, and personalised medicine.

Despite data privacy concerns, the adoption of AI tools in fields like dermatology, oncology, and cardiovascular health is expected to surge. North America is predicted to lead the market, followed by Europe and South Asia, as more healthcare institutions embrace AI technologies.

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Lenovo unveils compact edge AI server

Lenovo has introduced the ThinkEdge SE100, a compact AI inferencing server aimed at bringing edge AI within reach for businesses of all sizes.

Rather than relying on large data centres for processing, this server is designed to operate on-site in space-constrained environments, allowing data to be processed locally instead of being sent to the cloud.

The SE100 supports hybrid cloud deployments and is part of Lenovo’s new ThinkSystem V4 family. While the V4 systems are built for AI training, the SE100 is intended for inferencing, which is less demanding and doesn’t require power-hungry GPUs.

Lenovo says the unit is 85% smaller than a typical 1U server and draws under 140W, even with GPU configurations.

Engineered to be both energy-efficient and quiet, the SE100 uses Neptune liquid cooling instead of traditional fans, making it suitable for public spaces. Its design also helps extend system health and lifespan by reducing air flow needs and lowering operating temperatures.

Lenovo’s vice president of infrastructure products, Scott Tease, stated the SE100 is a cost-effective solution that simplifies AI deployment at the edge.

Its flexible design adapts to diverse business needs, offering low-latency, high-performance inferencing without the complexity or expense of full-scale AI infrastructure.

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Google rolls out AI to improve US power grid connections

Google has announced a partnership with PJM Interconnection, the largest electricity grid operator in North America, to deploy AI aimed at reducing delays in connecting new power sources to the grid. The move comes as energy demand surges due to the expansion of data centres required for AI development.

Wait times for connecting renewable and traditional energy sources, such as wind, solar and gas, have reached record levels, increasing the risk of blackouts and rising energy costs in the US. Google’s AI technology, developed alongside Alphabet-backed Tapestry, will streamline and automate key planning processes traditionally handled manually by grid operators.

Initial deployment will focus on automating tasks like assessing project viability, which are currently time-consuming. Over time, the project aims to create a digital model of PJM’s grid, similar to Google Maps, allowing planners to view layered data and make faster, more informed decisions.

While it is too early to quantify exactly how much time will be saved, the collaboration is expected to gradually improve planning efficiency. PJM’s grid serves 67 million people, including the world’s largest data centre hub in northern Virginia, making this a critical step toward modernising the energy infrastructure needed to support the AI era.

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Alphabet invests big in AI and data centres

Alphabet has confirmed it will proceed with a planned US$75 billion investment this year to expand its data centre infrastructure, reinforcing its push into generative AI.

CEO Sundar Pichai reiterated the company’s commitment at Google Cloud’s annual conference, describing AI as ‘the biggest opportunity’ yet for the tech giant.

The funds will go towards essential hardware such as chips and servers that underpin Alphabet’s core services, including Search, and power its AI models like Gemini.

The investment figure, first revealed in February, exceeded market expectations by nearly 30 percent and reflects the intensifying race among major tech firms to dominate the AI space.

Despite the ambitious scale, Alphabet’s strategy faces uncertainty. Rising geopolitical tensions risk inflating supply chain costs, and investors remain cautious as they wait for clearer returns on such massive outlays.

Market pressure continues to mount on Big Tech to turn AI enthusiasm into tangible financial performance.

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AI giant Nvidia rebounds but challenges remain

Shares in Nvidia soared by nearly 20 per cent following a 90-day suspension of new US tariffs, lifting Wall Street to one of its strongest single-day performances in decades. The tech giant, whose chips underpin much of the AI boom from tools like ChatGPT to drone technologies, added $440bn to its market value in just one session, underlining its pivotal role in the global AI race.

Despite the rally, serious concerns remain. While some tariffs were temporarily halted, President Donald Trump raised levies on Chinese imports to as high as 125 per cent. For Nvidia, whose supply chain relies heavily on advanced manufacturing in Asia, particularly Taiwan and South Korea, the move threatens to disrupt both costs and production timelines. Analysts caution that such trade friction could deter investment in AI infrastructure, which is still in early stages of commercial return.

Even with strong revenues and continued dominance in AI hardware, Nvidia faces growing headwinds. The firm’s recent share slump reflected broader anxiety over whether AI spending is peaking, alongside the rise of cheaper, open-source alternatives. Added pressure from high energy demands, regulatory risks, and tighter capital markets could further complicate growth. Industry watchers warn that tariffs may undermine the very conditions AI needs to flourish: stable supply chains, affordable power, and investor confidence.

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