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Cars.com launches Carson AI to transform online car shopping

The US tech company, Cars.com, has unveiled Carson, a multilingual AI search engine designed to revolutionise the online car shopping experience.

Instead of relying on complex filters, Carson interprets natural language queries such as ‘a reliable car for a family of five’ or ‘a used truck under $30,000’, instantly producing targeted results tailored to each shopper’s needs.

A new AI feature that already powers around 15% of all web and mobile searches on Cars.com, with early data showing that users engaging with Carson return to the site twice as often and save three times more vehicles.

They also generate twice as many leads and convert 30% more frequently from search to vehicle detail pages.

Cars.com aims to simplify decision-making for its 25 million monthly shoppers, 70% of whom begin their search without knowing which brand or model to choose.

Carson helps these undecided users explore lifestyle, emotional and practical preferences while guiding them through Cars.com’s award-winning listings.

Further updates will introduce AI-generated summaries, personalised comparisons and search refinement suggestions.

Cars.com’s parent company, Cars Commerce, plans to expand its use of AI-driven tools to strengthen its role at the forefront of automotive retail innovation, offering a more efficient and intelligent marketplace for both consumers and dealerships.

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Meta launches AI app in Europe with new Vibes video feed

Meta has launched its new AI app across Europe, featuring Vibes, an interactive feed dedicated to creating and sharing short AI-generated videos. The platform brings together media generation, remixing and collaboration tools designed to encourage creativity and social expression.

Vibes first debuted in the US, where Meta reported a tenfold rise in AI media creation since launch. European users can now use text prompts to generate, edit and animate videos, or remix existing clips by adding music, visuals and personalised styles.

The app also serves as a central hub for users’ Meta AI assistants and connected AI glasses. People can chat with the assistant, receive creative ideas, or enhance their photos and animations using advanced AI-powered editing tools integrated within the same experience.

Meta said the rollout marks a new stage in its effort to make AI-driven creativity more accessible. The company plans to expand the app’s capabilities further, promising additional features that combine entertainment, collaboration and real-time content generation.

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Coca-Cola enhances its AI-powered Christmas ad to fix last year’s visual flaws

Coca-Cola has released an improved AI-generated Christmas commercial after last year’s debut campaign drew criticism for its unsettling visuals.

The latest ‘Holidays Are Coming’ ads, developed in part by San Francisco-based Silverside, showcase more natural animation and a wider range of festive creatures, instead of the overly lifelike characters that previously unsettled audiences.

The new version avoids the ‘uncanny valley’ effect that plagued 2024’s ads. The use of generative AI by Coca-Cola reflects a wider advertising trend focused on speed and cost efficiency, even as creative professionals warn about its potential impact on traditional jobs.

Despite the efficiency gains, AI-assisted advertising remains labour-intensive. Teams of digital artists refine the content frame by frame to ensure realistic and emotionally engaging visuals.

Industry data show that 30% of commercials and online videos in 2025 were created or enhanced using generative AI, compared with 22% in 2023.

Coca-Cola’s move follows similar initiatives by major firms, including Google’s first fully AI-generated ad spot launched last month, signalling that generative AI is now becoming a mainstream creative tool across global marketing.

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How Google uses AI to support teachers and inspire students

Google is redefining education with AI designed to enhance learning, rather than replace teachers. The company has unveiled new tools grounded in learning science to support both educators and students, aiming to make learning more effective, efficient and engaging.

Through its Gemini platform, users can follow guided learning paths that encourage discovery rather than passive answers.

YouTube and Search now include conversational features that allow students to ask questions as they learn, while NotebookLM can transform personal materials into quizzes or immersive study aids.

Instructors can also utilise Google Classroom’s free AI tools for lesson planning and administrative support, thereby freeing up time for direct student engagement.

Google emphasises that its goal is to preserve the human essence of education while using AI to expand understanding. The company also addresses challenges linked to AI in learning, such as cheating, fairness, accuracy and critical thinking.

It is exploring assessment models that cannot be easily replicated by AI, including debates, projects, and oral examinations.

The firm pledges to develop its tools responsibly by collaborating with educators, parents and policymakers. By combining the art of teaching with the science of AI-driven learning, Google seeks to make education more personal, equitable and inspiring for all.

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UNESCO adopts first global ethical framework for neurotechnology

UNESCO has approved the world’s first global framework on the ethics of neurotechnology, setting new standards to ensure that advances in brain science respect human rights and dignity. The Recommendation, adopted by member states and entering into force on 12 November, establishes safeguards to ensure neurotechnological innovation benefits those in need without compromising mental privacy.

Launched in 2019 under Director-General Audrey Azoulay, the initiative builds on UNESCO’s earlier work on AI ethics. Azoulay described neurotechnology as a ‘new frontier of human progress’ that demands strict ethical boundaries to protect the inviolability of the human mind. The framework reflects UNESCO’s belief that technology should serve humanity responsibly and inclusively.

Neurotechnology, which enables direct interaction with the nervous system, is rapidly expanding, with investment in the sector rising by 700% between 2014 and 2021. While medical uses, such as deep brain stimulation and brain–computer interfaces, offer hope for people with Parkinson’s disease or disabilities, consumer devices that read neural data pose serious privacy concerns. Many users unknowingly share sensitive information about their emotions or mental states through everyday gadgets.

The Recommendation calls on governments to regulate these technologies, ensure they remain accessible, and protect vulnerable groups, especially children and workers. It urges bans on non-therapeutic use in young people and warns against monitoring employees’ mental activity or productivity without explicit consent.

UNESCO also stresses the need for transparency and better regulation of products that may alter behaviour or foster addiction.

Developed after consultations with over 8,000 contributors from academia, industry, and civil society, the framework was drafted by an international group of experts led by scientists Hervé Chneiweiss and Nita Farahany. UNESCO will now help countries translate the principles into national laws, as it has done with its 2021 AI ethics framework.

The Recommendation’s adoption, finalised at the General Conference in Samarkand, marks a new milestone in the global governance of emerging technologies.

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OpenAI outlines roadmap for AI safety, accountability and global cooperation

New recommendations have been published by OpenAI for managing rapid advances in AI, stressing the need for shared safety standards, public accountability, and resilience frameworks.

The company warned that while AI systems are increasingly capable of solving complex problems and accelerating discovery, they also pose significant risks that must be addressed collaboratively.

According to OpenAI, the next few years could bring systems capable of discoveries once thought centuries away.

The firm expects AI to transform health, materials science, drug development and education, while acknowledging that economic transitions may be disruptive and could require a rethinking of social contracts.

To ensure safe development, OpenAI proposed shared safety principles among frontier labs, new public oversight mechanisms proportional to AI capabilities, and the creation of a resilience ecosystem similar to cybersecurity.

It also called for regular reporting on AI’s societal impact to guide evidence-based policymaking.

OpenAI reiterated that the goal should be to empower individuals by making advanced AI broadly accessible, within limits defined by society, and to treat access to AI as a foundational public utility in the years ahead.

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India’s AI roadmap could add $500 billion to economy by 2035

According to the Business Software Alliance, India could add over $500 billion to its economy by 2035 through the widespread adoption of AI.

At the BSA AI Pre-Summit Forum in Delhi, the group unveiled its ‘Enterprise AI Adoption Agenda for India’, which aligns with the goals of the India–AI Impact Summit 2026 and the government’s vision for a digitally advanced economy by 2047.

The agenda outlines a comprehensive policy framework across three main areas: talent and workforce, infrastructure and data, and governance.

It recommends expanding AI training through national academies, fostering industry–government partnerships, and establishing innovation hubs with global companies to strengthen talent pipelines.

BSA also urged greater government use of AI tools, reforms to data laws, and the adoption of open industry standards for content authentication. It called for coordinated governance measures to ensure responsible AI use, particularly under the Digital Personal Data Protection Act.

BSA has introduced similar policy roadmaps in other major markets, apart from India, including the US, Japan, and ASEAN countries, as part of its global effort to promote trusted and inclusive AI adoption.

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LIBE backs new Europol Regulation despite data protection and discrimination warnings

The European Parliament’s civil liberties committee (LIBE) voted to endorse a new Europol Regulation, part of the ‘Facilitators Package’, by 59–10 with four abstentions.

Rights groups and the European Data Protection Supervisor had urged MEPs to reject the proposal, arguing the law fuels discrimination and grants Europol and Frontex unprecedented surveillance capabilities with insufficient oversight.

If approved in plenary later this month, the reform would grant Europol broader powers to collect, process and share data, including biometrics such as facial recognition, and enable exchanges with non-EU states.

Campaigners note the proposal advanced without an impact assessment, contrary to the Commission’s Better Regulation guidance.

Civil society groups warn that the changes risk normalising surveillance in migration management. Access Now’s Caterina Rodelli said MEPs had ‘greenlighted the European Commission’s long-term plan to turn Europe into a digital police state’. At the same time, Equinox’s Sarah Chander called the vote proof the EU has ‘abandoned’ humane, evidence-based policy.

EDRi’s Chloé Berthélémy said the reform legitimises ‘unaccountable and opaque data practices’, creating a ‘data black hole’ that undermines rights and the rule of law. More than 120 organisations called on MEPs to reject the text, arguing it is ‘unlawful, unsafe, and unsubstantiated’.

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New AI tool helps identify suicide-risk individuals

Researchers at Touro University have found that an AI tool can identify suicide risk that standard diagnostic methods often miss. The study, published in the Journal of Personality Assessment, shows that LLMs can analyse speech to detect patterns linked to perceived suicide risk.

Current assessment methods, such as multiple-choice questionnaires, often fail to capture the nuances of an individual’s experience.

The study used Claude 3.5 Sonnet to analyse 164 participants’ audio responses, examining future self-continuity, a key factor linked to suicide risk. The AI detected subtle cues in speech, including coherence, emotional tone, and detail, which traditional tools overlooked.

While the research focused on perceived risk rather than actual suicide attempts, identifying individuals who feel at risk is crucial for timely intervention. LLM predictions could be used in hospitals, hotlines, or therapy sessions as a new tool for mental health professionals.

Beyond suicide risk, large language models may also help detect other mental health conditions such as depression and anxiety, providing faster, more nuanced insights into patients’ mental well-being and supporting early intervention strategies.

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Naver expands physical AI ambitions with $690 million GPU investment

South Korean technology leader Naver is deepening its AI ambitions through a $690 million investment in graphics processing units from 2025.

A move that aims to strengthen its AI infrastructure and drive the development of physical AI, a field merging digital intelligence with robotics, logistics, and autonomous systems.

Beyond its internal use, Naver plans to monetise its expanded computing power by offering GPU-as-a-Service to clients across sectors, creating new revenue opportunities aligned with its AI ecosystem.

Chief Executive Choi Soo-yeon described physical AI as the firm’s next growth pillar, combining robotics, data, and generative AI to reshape both digital and industrial environments. The company already holds a significant share of the global robotics operating system market, underlining its technological maturity.

An investment that marks a strategic shift from software-based AI to infrastructure-driven intelligence, positioning Naver as a leader in integrating AI with real-world applications.

As global competition intensifies, Naver’s model of coupling high-performance computing with robotics innovation signals the emergence of South Korea as a centre for applied AI technology.

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