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OpenAI expands investment in mental health safety research

Yesterday, OpenAI launched a new grant programme to support external research on the connection between AI and mental health.

An initiative that aims to expand independent inquiry into how people express distress, how AI interprets complex emotional signals and how different cultures shape the language used to discuss sensitive experiences.

OpenAI also hopes that broader participation will strengthen collective understanding, rather than keeping progress confined to internal studies.

The programme encourages interdisciplinary work that brings together technical specialists, mental health professionals and people with lived experience. OpenAI is seeking proposals that can offer clear outputs, such as datasets, evaluation methods, or practical insights, that improve safety and guidance.

Researchers may focus on patterns of distress in specific communities, the influence of slang and vernacular, or the challenges that appear when mental health symptoms manifest in ways that current systems fail to recognise.

The grants also aim to expand knowledge of how providers use AI within care settings, including where tools are practical, where limitations appear and where risks emerge for users.

Additional areas of interest include how young people respond to different tones or styles, how grief is expressed in language and how visual cues linked to body image concerns can be interpreted responsibly.

OpenAI emphasises that better evaluation frameworks, ethical datasets and annotated examples can support safer development across the field.

Applications are open until 19 December, with decisions expected by mid-January. The programme forms part of OpenAI’s broader effort to invest in well-being and safety research, offering financial support to independent teams working across diverse cultural and linguistic contexts.

The company argues that expanding evidence and perspectives will contribute to a more secure and supportive environment for future AI systems.

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Greek businesses urged to accelerate AI adoption

AI is becoming a central factor in business development, according to Google Cloud executives visiting Athens for Google Cloud Day.

Marianne Janik and Boris Georgiev explained that AI is entering daily life more quickly than many expected, creating an urgent need for companies to strengthen their capabilities. Their visit coincided with the international launch of Gemini 3, the latest version of the company’s AI model.

They argued that enterprises in Greece should accelerate their adoption of AI tools to remain competitive. A slow transition could limit their position in both domestic and international markets.

They also underlined the importance of employees developing new skills that support digital transformation, noting that risk-taking has become a necessary element of strategic progress.

The financial sector is advancing at a faster pace, aided by its long-standing familiarity with digital and analytical tools.

Banks are investing heavily in compliance functions and customer onboarding. Retail is also undergoing a similar transformation, driven by consumer expectations and operational pressures.

Google Cloud Day in Athens brought together a large number of participants, highlighting the sector’s growing interest in practical AI applications and the role of advanced models in shaping business processes.

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Safran and UAE institute join forces on AI geospatial intelligence

Safran.AI, the AI division of Safran Electronics & Defence, and the UAE’s Technology Innovation Institute have formed a strategic partnership to develop a next-generation agentic AI geospatial intelligence platform.

The collaboration aims to transform high-resolution satellite imagery into actionable intelligence for defence operations.

The platform will combine human oversight with advanced geospatial reasoning, enabling operators to interpret and respond to emerging situations faster and with greater precision.

Key initiatives include agentic reasoning systems powered by large language models, a mission-specific AI detector factory, and an autonomous multimodal fusion engine for persistent, all-weather monitoring.

Under the agreement, a joint team operating across France and the UAE will accelerate innovation within a unified operational structure.

Leaders from both organisations emphasise that the alliance strengthens sovereign geospatial intelligence capabilities and lays the foundations for decision intelligence in national security.

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Valentino faces backlash over AI-generated handbag campaign

Italian fashion house Valentino has come under intense criticism after posting AI-generated advertisements for its DeVain handbag, with social media users calling the imagery ‘disturbing’ and ‘sloppy’. The BBC report describes how the brand’s digital-creative collaboration produced a surreal promotional video that quickly drew hundreds of negative comments on Instagram.

The campaign features morphing models, swirling bodies and shifting Valentino logos, all rendered by generative AI. Although the post clearly labels the material as AI-produced, many viewers noted that the brand’s reliance on the technology made the luxury product appear less appealing.

Commenters accused the company of prioritising efficiency over artistry and argued that advertising should showcase human creativity rather than automated visuals. Industry analysts have noted that the backlash reflects broader tensions within the creative economy.

Getty Images executive Dr Rebecca Swift said audiences often view AI-generated material as ‘less valuable’, mainly when used by luxury labels. Others warned that many consumers interpret the use of generative AI as a sign of cost-cutting rather than innovation.

Brands including H&M and Guess have faced similar criticism for recent AI-based promotional work, fuelling broader concerns about the displacement of models, photographers and stylists.

While AI is increasingly adopted across fashion to streamline design and marketing, experts say brands risk undermining the emotional connection that drives luxury purchasing. Analysts argue that without a compelling artistic vision at its core, AI-generated campaigns may make high-end labels feel less human at a time when customers are seeking more authenticity, not less.

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Jorja Smith’s label challenges ‘AI clone’ vocals on viral track

A dispute has emerged after FAMM, the record label representing Jorja Smith, alleged that the viral dance track I Run by Haven used an unauthorised AI clone of the singer’s voice.

The BBC’s report describes how the song gained traction on TikTok before being removed from streaming platforms following copyright complaints.

The label said it wanted a share of royalties, arguing that both versions of the track, the original release and a re-recording with new vocals, infringed Smith’s rights and exploited the creative labour behind her catalogue.

FAMM said the issue was bigger than one artist, warning that fans had been misled and that unlabelled AI music risked becoming ‘the new normal’. Smith later shared the label’s statement, which characterised artists as ‘collateral damage’ in the race towards AI-driven production.

Producers behind “I Run” confirmed that AI was used to transform their own voices into a more soulful, feminine tone. Harrison Walker said he used Suno, generative software sometimes called the ‘ChatGPT for music’, to reshape his vocals, while fellow producer Waypoint admitted employing AI to achieve the final sound.

They maintain that the songwriting and production were fully human and shared project files to support their claim.

The controversy highlights broader tensions surrounding AI in music. Suno has acknowledged training its system on copyrighted material under the US ‘fair use’ doctrine, while record labels continue to challenge such practices.

Even as the AI version of I Run was barred from chart eligibility, its revised version reached the UK Top 40. At the same time, AI-generated acts such as Breaking Rust and hybrid AI-human projects like Velvet Sundown have demonstrated the growing commercial appeal of synthetic vocals.

Musicians and industry figures are increasingly urging stronger safeguards. FAMM said AI-assisted tracks should be clearly labelled, and added it would distribute any royalties to Smith’s co-writers in proportion to how much of her catalogue they contributed to, arguing that if AI relied on her work, so should any compensation.

The debate continues as artists push back more publicly, including through symbolic protests such as last week’s vinyl release of silent tracks, which highlighted fears over weakened copyright protections.

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Data centre power demand set to triple by 2035

Data centre electricity use is forecast to surge almost threefold by 2035. BloombergNEF reported that global facilities are expected to consume around 106 gigawatts by then.

Analysts linked the growth to larger sites and rising AI workloads, pushing utilisation rates higher. New projects are expanding rapidly, with many planned facilities exceeding 500 megawatts.

Major capacity is heading to states within the PJM grid, alongside significant additions in Texas. Regulators warned that grid operators must restrict connections when capacity risks emerge.

Industry monitors argued that soaring demand contributes to higher regional electricity prices. They urged clearer rules to ensure reliability as early stage project numbers continue accelerating.

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When AI use turns dangerous for diplomats

Diplomats are increasingly turning to tools like ChatGPT and DeepSeek to speed up drafting, translating, and summarising documents, a trend Jovan Kurbalija describes as the rise of ‘Shadow AI.’ These platforms, often used through personal accounts or consumer apps, offer speed and convenience that overstretched diplomatic services struggle to match.

But the same ease of use that makes Shadow AI attractive also creates a direct clash with diplomacy’s long-standing foundations of discretion and controlled ambiguity.

Kurbalija warns that this quiet reliance on commercial AI platforms exposes sensitive information in ways diplomats may not fully grasp. Every prompt, whether drafting talking points, translating notes, or asking for negotiation strategies, reveals assumptions, priorities, and internal positions.

Over time, this builds a detailed picture of a country’s concerns and behaviour, stored on servers outside diplomatic control and potentially accessible through foreign legal systems. The risk is not only data leakage but also the erosion of diplomatic craft, as AI-generated text encourages generic language, inflates documents, and blurs the national nuances essential to negotiation.

The problem, Kurbalija argues, is rooted in a ‘two-speed’ system. Technology evolves rapidly, while institutions adapt slowly.

Diplomatic services can take years to develop secure, in-house tools, while commercial AI is instantly available on any phone or laptop. Yet the paradox is that safe, locally controlled AI, based on open-source models, is technically feasible and financially accessible. What slows progress is not technology, but how ministries manage and value knowledge, their core institutional asset.

Rather than relying on awareness campaigns or bans, which rarely change behaviour, Kurbalija calls for a structural shift, where foreign ministries must build trustworthy, in-house AI ecosystems that keep all prompts, documents, and outputs within controlled government environments. That requires redesigning workflows, integrating AI into records management, and empowering the diplomats who have already experimented informally with these tools.

Only by moving AI from the shadows into a secure, well-governed framework, he argues, can diplomacy preserve its confidentiality, nuance, and institutional memory in the age of AI.

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Singapore and the EU advance their digital partnership

The European Union met Singapore in Brussels for the second Digital Partnership Council, reinforcing a joint ambition to strengthen cooperation across a broad set of digital priorities.

Both sides expressed a shared interest in improving competitiveness, expanding innovation and shaping common approaches to digital rules instead of relying on fragmented national frameworks.

Discussions covered AI, cybersecurity, online safety, data flows, digital identities, semiconductors and quantum technologies.

Officials highlighted the importance of administrative arrangements in AI safety. They explored potential future cooperation on language models, including the EU’s work on the Alliance for Language Technologies and Singapore’s Sea-Lion initiative.

Efforts to protect consumers and support minors online were highlighted, alongside the potential role of age verification tools.

Further exchanges focused on trust services and the interoperability of digital identity systems, as well as collaborative research on semiconductors and quantum technologies.

Both sides emphasised the importance of robust cyber resilience and ongoing evaluation of cybersecurity risks, rather than relying on reactive measures. The recently signed Digital Trade Agreement was welcomed for improving legal certainty, building consumer trust and reducing barriers to digital commerce.

The meeting between the EU and Singapore confirmed the importance of the partnership in supporting economic security, strengthening research capacity and increasing resilience in critical technologies.

It also reflected the wider priorities outlined in the European Commission’s International Digital Strategy, which placed particular emphasis on cooperation with Asian partners across emerging technologies and digital governance.

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Poetic prompts reveal gaps in AI safety, according to study

Researchers in Italy have found that poetic language can weaken the safety barriers used by many leading AI chatbots.

A work by Icaro Lab, part of DexAI, that examined whether poems containing harmful requests could provoke unsafe answers from widely deployed models across the industry. The team wrote twenty poems in English and Italian, each ending with explicit instructions that AI systems are trained to block.

The researchers tested the poems on twenty-five models developed by nine major companies. Poetic prompts produced unsafe responses in more than half of the tests.

Some models appeared more resilient than others. OpenAI’s GPT-5 Nano avoided unsafe replies in every case, while Google’s Gemini 2.5 Pro generated harmful content in all tests. Two Meta systems produced unsafe responses to twenty percent of the poems.

Researchers also argue that poetic structure disrupts the predictive patterns large language models rely on to filter harmful material. The unconventional rhythm and metaphor common in poetry make the underlying safety mechanisms less reliable.

Additionally, the team warned that adversarial poetry can be used by anyone, which raises concerns about how easily safety systems may be manipulated in everyday use.

Before releasing the study, the researchers contacted all companies involved and shared the full dataset with them.

Anthropic confirmed receipt and stated that it was reviewing the findings. The work has prompted debate over how AI systems can be strengthened as creative language becomes an increasingly common method for attempting to bypass safety controls.

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NVIDIA and Synopsys shape a new era in engineering

The US tech giant, NVIDIA, has deepened its long-standing partnership with Synopsys through a multi-year strategy designed to redefine digital engineering across global industries.

An agreement that includes a significant investment of two billion dollars in Synopsys shares and a coordinated effort to bring accelerated computing into every stage of research and development.

The aim is to replace slow, fragmented workflows with highly efficient engineering supported by GPU power, agentic AI and advanced physics simulation.

Research teams across semiconductor design, aerospace, automotive and industrial manufacturing continue to face rising complexity and escalating development costs. NVIDIA and Synopsys plan to respond by unifying their strengths, rather than relying on traditional CPU-bound methods.

NVIDIA’s accelerated computing platforms will connect with Synopsys tools to enable faster design, broader simulation capability and more precise verification. The collaboration extends to autonomous engineering through AI agents built on Synopsys AgentEngineer and NVIDIA’s agentic AI stack.

Digital twins stand at the centre of the new strategy. Accurate virtual models, powered through Omniverse and Synopsys simulation environments, will allow engineers to test and validate products in virtual space before physical production.

Cloud-ready access will support companies of all sizes, rather than restricting advanced engineering to large enterprises with specialised infrastructure. Both firms intend to promote adoption through a shared go-to-market programme.

The partnership remains open and non-exclusive, ensuring continued cooperation with the broader semiconductor and electronic design ecosystem.

NVIDIA and Synopsys expect accelerated engineering to reshape innovation cycles, offering a route to faster product development and more reliable outcomes across every primary technical sector.

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