Guess AI model sparks fashion world debate

A striking new ‘supermodel’ has appeared in the August print edition of Vogue, featuring in a Guess advert for their summer collection. Uniquely, the flawless blonde model is not real, as a small disclaimer reveals she was created using AI.

While Vogue clarifies the AI model’s inclusion was an advertising decision, not editorial, it marks a significant first for the magazine and has ignited widespread controversy.

The development raises serious questions for real models, who have long campaigned for greater diversity, and consumers, particularly young people, are already grappling with unrealistic beauty standards.

Seraphinne Vallora, the company behind the controversial Guess advert, comprises founders Valentina Gonzalez and Andreea Petrescu. They told the BBC that Guess’s co-founder, Paul Marciano, approached them on Instagram to create an AI model for the brand’s summer campaign.

Valentina Gonzalez explained, ‘We created 10 draft models for him and he selected one brunette woman and one blonde that we developed further.’ Petrescu described AI image generation as a complex process, with their five employees taking up to a month to create a finished product, charging clients like Guess up to the low six figures.

However, plus-size model Felicity Hayward, with over a decade in the industry, criticised the use of AI models, stating it ‘feels lazy and cheap’ and worried it could ‘undermine years of work towards more diversity in the industry.’

Hayward believes the fashion industry, which saw strides in inclusivity in the 2010s, has regressed, leading to fewer bookings for diverse models. She warned, ‘The use of AI models is another kick in the teeth that will disproportionately affect plus-size models.’

Gonzalez and Petrescu insist they do not reinforce narrow beauty standards, with Petrescu claiming, ‘We don’t create unattainable looks – the AI model for Guess looks quite realistic.’ They contended, ‘Ultimately, all adverts are created to look perfect and usually have supermodels in, so what we do is no different.’

While admitting their company’s Instagram shows a lack of diversity, Gonzalez explained to the BBC that attempts to post AI images of women with different skin tones did not gain traction, stating, ‘people do not respond to them – we don’t get any traction or likes.’

They also noted that the technology is not yet advanced enough to create plus-size AI women. However, this mirrors a 2024 Dove campaign that highlighted AI bias by showing image generators consistently producing thin, white, blonde women when asked for ‘the most beautiful woman in the world.’

Vanessa Longley, CEO of eating disorder charity Beat, found the advert ‘worrying,’ telling the BBC, ‘If people are exposed to images of unrealistic bodies, it can affect their thoughts about their own body, and poor body image increases the risk of developing an eating disorder.’

The lack of transparent labelling for AI-generated content in the UK is also a concern, despite Guess having a small disclaimer. Sinead Bovell, a former model and now tech entrepreneur, told the BBC that not clearly labelling AI content is ‘exceptionally problematic’ due to ‘AI is already influencing beauty standards.’

Sara Ziff, a former model and founder of Model Alliance, views Guess’s campaign as “less about innovation and more about desperation and need to cut costs,’ advocating for ‘meaningful protections for workers’ in the industry.

Seraphinne Vallora, however, denies replacing models, with Petrescu explaining, ‘We’re offering companies another choice in how they market a product.’

Despite their website claiming cost-efficiency by ‘eliminating the need for expensive set-ups… hiring models,’ they involve real models and photographers in their AI creation process. Vogue’s decision to run the advert has drawn criticism on social media, with Bovell noting the magazine’s influential position, which means they are ‘in some way ruling it as acceptable.’

Looking ahead, Bovell predicts more AI-generated models but not their total dominance, foreseeing a future where individuals might create personal AI avatars to try on clothes and a potential ‘society opting out’ if AI models become too unattainable.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Meta forms AI powerhouse by appointing Shengjia Zhao as chief scientist

Meta has appointed former OpenAI researcher Shengjia Zhao as Chief Scientist of its newly formed AI division, Meta Superintelligence Labs (MSL).

Zhao, known for his pivotal role in developing ChatGPT, GPT-4, and OpenAI’s first reasoning model, o1, will lead MSL’s research agenda under Alexandr Wang, the former CEO of Scale AI.

Mark Zuckerberg confirmed Zhao’s appointment, saying he had been leading scientific efforts from the start and co-founded the lab.

Meta has aggressively recruited top AI talent to build out MSL, including senior researchers from OpenAI, DeepMind, Apple, Anthropic, and its FAIR lab. Zhao’s presence helps balance the leadership team, as Wang lacks a formal research background.

Meta has reportedly offered massive compensation packages to lure experts, with Zuckerberg even contacting candidates personally and hosting them at his Lake Tahoe estate. MSL will focus on frontier AI, especially reasoning models, in which Meta currently trails competitors.

By 2026, MSL will gain access to Meta’s massive 1-gigawatt Prometheus cloud cluster in Ohio, designed to power large-scale AI training.

The investment and Meta’s parallel FAIR lab, led by Yann LeCun, signal the company’s multi-pronged strategy to catch up with OpenAI and Google in advanced AI research.

The collaboration dynamics between MSL, FAIR, and Meta’s generative AI unit remain unclear, but the company now boasts one of the strongest AI research teams in the industry.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

UN urges global rules for AI to prevent inequality

According to Doreen Bogdan-Martin, head of the UN’s International Telecommunications Union, the world must urgently adopt a unified approach to AI regulation.

She warned that fragmented national strategies could deepen global inequalities and risk leaving billions excluded from the AI revolution.

Bogdan-Martin stressed that only a global framework can ensure AI benefits all of humanity instead of worsening digital divides.

With 85% of countries lacking national AI strategies and 2.6 billion people still offline, she argued that a coordinated effort is essential to bridge access gaps and prevent AI from becoming a tool that advances inequality rather than opportunity.

ITU chief highlighted the growing divide between regulatory models — from the EU’s strict governance and China’s centralised control to the US’s new deregulatory push under Donald Trump.

She avoided direct criticism of the US strategy but called for dialogue between all regions instead of fragmented policymaking.

Despite the rapid advances of AI in sectors like healthcare, agriculture and education, Bogdan-Martin warned that progress must be inclusive. She also urged more substantial efforts to bring women into AI and tech leadership, pointing to the continued gender imbalance in the sector.

As the first woman to lead ITU, she said her role was not just about achievement but setting a precedent for future generations.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Agentic AI forces rethink of cloud infrastructure

Cybersecurity experts warn that reliance on traditional firewalls and legacy VPNs may pose greater risks than protection. These outdated tools often lack timely updates, making them prime entry points for cyber attackers exploiting AI-powered techniques.

Many businesses depend on ageing infrastructure, unaware that unpatched VPNs and web servers expose them to significant cybersecurity threats. Experts urge companies to abandon these legacy systems and modernise their defences with more adaptive, zero-trust models.

Meanwhile, OpenAI’s reported plans for a productivity suite challenge Microsoft’s dominance, promising simpler interfaces powered by generative AI. The shift could reshape daily workflows by integrating document creation directly with AI tools.

Agentic AI, which performs autonomous tasks without human oversight, also redefines enterprise IT demands. Experts believe traditional cloud tools cannot support such complex systems, prompting calls to rethink cloud strategies for more tailored, resilient platforms.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

The US push for AI dominance through openness

In a bold move to maintain its edge in the global AI race—especially against China—the United States has unveiled a sweeping AI Action Plan with 103 recommendations. At its core lies an intriguing paradox: the push for open-source AI, typically associated with collaboration and transparency, is now being positioned as a strategic weapon.

As Jovan Kurbalija points out, this plan marks a turning point where open-weight models are framed not just as tools of innovation, but as instruments of geopolitical influence, with the US aiming to seed the global AI ecosystem with American-built systems rooted in ‘national values.’

The plan champions Silicon Valley by curbing regulations, limiting federal scrutiny, and shielding tech giants from legal liability—potentially reinforcing monopolies. It also underlines a national security-first mentality, urging aggressive safeguards against foreign misuse of AI, cyber threats, and misinformation. Notably, it proposes DARPA-led initiatives to unravel the inner workings of large language models, acknowledging that even their creators often can’t fully explain how these systems function.

Internationally, the plan takes a competitive, rather than cooperative, stance. Allies are expected to align with US export controls and values, while multilateral forums like the UN and OECD are dismissed as bureaucratic and misaligned. That bifurcation risks alienating global partners—particularly the EU, which favours heavy AI regulation—while increasing pressure on countries like India and Japan to choose sides in the US–China tech rivalry.

Despite its combative framing, the strategy also nods to inclusion and workforce development, calling for tax-free employer-sponsored AI training, investment in apprenticeships, and growing military academic hubs. Still, as Kurbalija warns, the promise of AI openness may clash with the plan’s underlying nationalistic thrust—raising questions about whether it truly aims to democratise AI, or merely dominate it.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Google brings Gemini AI shortcut to Android home screens

Google has launched a new AI Mode shortcut in Android Search, offering direct home-screen access to its Gemini-powered tools. The upgrade brings conversational AI to everyday mobile searches, enabling users to ask complex questions and receive context-rich responses without leaving the home screen.

AI Mode, introduced in Google Labs and now available on a wide range of Android devices, marks a leap in integrating AI across Android’s ecosystem. The feature’s rise from a limited beta to mass adoption follows enhancements powered by Gemini 2.5 Pro and Deep Search, now with 100 million monthly users.

Key functions include multimodal inputs, advanced planning tools, and even the ability for AI to call businesses to verify local information. These capabilities are already live for paid subscribers, while core features remain free, drawing comparisons with rivals such as ChatGPT and Bing AI.

Privacy concerns surfaced as real-time interactions expand, but Google claims strong data protection controls are in place. As AI-powered results blend into traditional search, SEO strategies and user trust will be tested, signalling a new era in mobile discovery and digital engagement.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

NASA launches twin satellites to study space storms

NASA has launched two TRACERS satellites aboard a SpaceX Falcon 9 rocket to study space weather near Earth’s poles.

These identical spacecraft will probe the polar cusps in Earth’s magnetic field better to understand the origins and dynamics of geomagnetic storms.

Magnetic reconnection, a process where solar wind collides with Earth’s magnetosphere, is central in triggering auroras and potentially damaging solar storms.

Using tandem satellites, scientists can now monitor changes in real time, offering insights that single-orbiting spacecraft could not provide.

The mission aims to record around 3,000 reconnection events over the next year, helping researchers determine how solar energy enters Earth’s system.

By doing so, they hope to improve forecasting of disruptive space weather events that can impact GPS, satellites, and power grids.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

Finnish researchers extend quantum coherence beyond one millisecond

Aalto University researchers have achieved a milestone in quantum computing by extending the coherence time of a superconducting transmon qubit beyond one millisecond. The breakthrough significantly improves how long quantum states remain stable, enabling more reliable operations.

The Finnish team used ultra-pure materials and precision engineering techniques to fabricate the qubit, achieving a median coherence time of 541 microseconds and a peak of 1057 microseconds.

Unlike earlier coherence records set by more exotic qubit types, Aalto’s success came within the widely used transmon framework, making it easier for others to replicate. The researchers published detailed fabrication methods to help advance consistency across labs globally.

Crossing the millisecond mark opens new possibilities for scalable quantum systems, reducing the burden of error correction. Finland’s growing leadership in the field is further solidified as other research teams explore Aalto’s reproducible approach.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

LegalOn raises 50 million to expand AI legal tools

LegalOn Technologies has secured 50 million dollars in Series E funding to expand its AI-powered contract review platform.

The Japanese startup, backed by SoftBank and Goldman Sachs, aims to streamline legal work by reducing the time spent reviewing and managing documents.

Its core product, Review, identifies contract risks and suggests edits using expert-built legal playbooks. The company says it improves accuracy while cutting review time by up to 85 percent across 7,000 client organisations in Japan, the US and the UK.

LegalOn plans to develop AI agents to handle tasks before and after the review process, including contract tracking and workflow integration. A new tool, Matter Management, enables teams to efficiently assign contract responsibilities, collaborate, and link documents.

While legal AI adoption grows, CEO Daniel Lewis insists the technology will support rather than replace lawyers. He believes professionals who embrace AI will gain the most leverage, as human oversight remains vital to legal judgement.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!

AI and quantum tech reshape global business

AI and quantum computing are reshaping global industries as investment surges and innovation accelerates across sectors like finance, healthcare and logistics. Microsoft and Amazon are driving a major shift in AI infrastructure, transforming cloud services into profitable platforms.

Quantum computing is moving beyond theory, with real-world applications emerging in pharmaceuticals and e-commerce. Google’s development of quantum-inspired algorithms for virtual shopping and faster analytics demonstrates its potential to revolutionise decision-making.

Sustainability is also gaining ground, with companies adopting AI-powered solutions for renewable energy and eco-friendly manufacturing. At the same time, digital banks are integrating AI to challenge legacy finance systems, offering personalised, accessible services.

Despite rapid progress, ethical concerns and regulatory challenges are mounting. Data privacy, AI bias, and antitrust issues highlight the need for responsible innovation, with industry leaders urged to balance risk and growth for long-term societal benefit.

Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!