A recent study reveals that large language models such as ChatGPT-4, Claude, Vicuna, and Wayfarer still struggle to replicate natural human conversation. Researchers found AI over-imitates, misuses filler words, and struggles with natural openings and closings, revealing its artificial nature.
The research, led by Eric Mayor with contributions from Lucas Bietti and Adrian Bangerter, compared transcripts of human phone conversations with AI-generated ones. AI can speak correctly, but subtle social cues like timing, phrasing, and discourse markers remain hard to mimic.
Misplaced words such as ‘so’ or ‘well’ and awkward conversation transitions make AI dialogue recognisably non-human. Openings and endings also pose a challenge. Humans naturally engage in small talk or closing phrases such as ‘see you soon’ or ‘alright, then,’ which AI systems often fail to reproduce convincingly.
These gaps in social nuance, researchers argue, prevent large language models from consistently fooling people in conversation tests.
Despite rapid progress, experts caution that AI may never fully capture all elements of human interaction, such as empathy and social timing. Advances may narrow the gap, but key differences will likely remain, keeping AI speech subtly distinguishable from real human dialogue.
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The Pan American Health Organization (PAHO) has released a guide with practical advice on creating effective AI prompts for public health. The guide AI prompt design for public health helps professionals use AI responsibly to generate accurate and culturally appropriate content.
PAHO says generative AI aids in public health alerts, reports, and educational materials, but its effectiveness depends on clear instructions. The guide highlights that well-crafted prompts enable AI systems to generate meaningful content efficiently, reducing review time while maintaining quality.
The organisation advises health institutions to treat prompts as ‘living protocols’ that can be tested and refined to suit different audiences and languages. It also recommends developing prompt libraries to improve consistency across public health operations.
Human oversight remains crucial, especially when AI-generated content could influence public behaviour or policy decisions.
The initiative forms part of PAHO’s broader Digital Literacy Programme, which seeks to strengthen the digital skills of health professionals throughout the Americas. Better prompt design aims to boost communication, accelerate decision-making, and advance digital transformation in healthcare.
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The South Korean firm, Samsung Electronics, has redesigned its official Newsroom, transforming it into a multimedia platform built around visuals, video and AI-driven features.
A revamped site that aligns with the growing dominance of visual communication, aiming to make corporate storytelling more intuitive, engaging and accessible.
The updated homepage features an expanded horizontal carousel showcasing videos, graphics and feature stories with hover-based summaries for quick insight. Users can browse by theme, play videos directly and enjoy a seamless experience across all Samsung devices.
A redesign by Samsung that also introduces an integrated media hub with improved press tools, content filters and high-resolution downloads. Journalists can now save full articles, videos and images in one click, simplifying access to media materials.
AI integration adds smart summaries and upgraded search capabilities, including tag- and image-based discovery. These tools enhance relevance and retrieval speed, while flexible sorting and keyword highlighting refine user experience.
As Samsung celebrates a decade since launching its Newsroom, such a transformation marks a step toward a more dynamic, interactive communication model designed for both consumers and media professionals in the AI era.
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Under the revised terms, WhatsApp will not allow providers of AI or machine-learning technologies, including large language models, generative AI platforms, or general-purpose AI assistants, to use the WhatsApp Business Solution when such technologies are the primary functionality being provided.
Meta says the Business API was designed for companies to communicate with their customers, not as a distribution channel for standalone AI assistants. The company emphasises that this update does not affect businesses using AI for defined functions like customer support, reservations or order tracking.
The move is significant for the AI ecosystem. Several startups and major players had offered their assistants via WhatsApp, including the likes of OpenAI (ChatGPT), Perplexity AI and others. These will now have to rethink how they integrate or distribute on WhatsApp.
Meta also notes that the volume of messages from these chatbots imposed strain on WhatsApp’s infrastructure and deviated from the intended business-to-customer messaging model. Furthermore, by limiting such usage Meta retains stronger control over how its platform is monetised.
For third-party AI providers, the implication is clear: WhatsApp will no longer serve as a platform for generic assistants but rather for business workflows or task-specific bots. This redefinition realigns the platform’s strategy and draws a clearer boundary between enterprise usage and public-facing AI services.
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Equity’s general secretary, Paul W Fleming, announced plans to mobilise tens of thousands of actors through subject access requests under data-protection law, compelling companies to disclose whether they have used performers’ data in AI content.
The move follows growing numbers of complaints from actors about alleged mis-use of their likenesses or voices in AI material. One prominent case involves Scottish actor Briony Monroe, who claims her facial features and mannerisms were used to create the synthetic performer ‘Tilly Norwood’. The AI-studio behind the character denies the allegations.
Equity says the strategy is intended to ‘make it so hard for tech companies and producers to not enter into collective rights’ deals. It argues that existing legislation is being circumvented as foundational AI models are trained using data from actors, but with little transparency or compensation.
The trade body Pact, representing studios and producers, acknowledges the importance of AI but counters that without accessing new tools firms may fall behind commercially. Pact complains about the lack of transparency from companies on what data is used to train AI systems.
In essence, the standoff reflects deeper tensions in the creative industries: how to balance innovation, performer rights and transparency in an era when digital likenesses and synthetic ‘actors’ are emerging rapidly.
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Under a deal with the American Federation of Teachers (AFT) in the United States, Microsoft will contribute $12.5 million over five years, OpenAI will provide $8 million plus $2 million in technical resources, and Anthropic has pledged $500,000. The AFT plans to build AI training hubs, including one in New York, and aims to train around 400,000 teachers over five years.
At a workshop in San Antonio, dozens of teachers used AI tools such as ChatGPT, Google’s Gemini and Microsoft CoPilot to generate lesson plans, podcasts and bilingual flashcards. One teacher noted how quickly AI could generate materials: ‘It can save you so much time.’
However, the initiative raises critical questions. Educators expressed concerns about being replaced by AI, while unions emphasise that teachers must lead training content and maintain control over learning. Technology companies see this as a way to expand into education, but also face scrutiny over influence and the implications for teaching practice.
As schools increasingly adopt AI tools, experts say training must go beyond technical skills to cover ethical use, student data protection and critical thinking. The reforms reflect a broader push to prepare both teachers and students for a future defined by AI.
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More than 40 civil society organisations have asked the European Commission to investigate Ireland’s privacy regulator. Their letter questions whether the Irish Data Protection Commission (DPC) remains independent following the appointment of a former Meta lobbyist as Commissioner.
Niamh Sweeney, previously Facebook’s head of public policy for Ireland, became the DPC’s third commissioner in September. Her appointment has triggered concerns among digital rights groups that oversee compliance with the EU’s General Data Protection Regulation.
The letter calls for a formal work programme to ensure that data protection rules are enforced consistently and free from political or corporate influence. Civil society groups argue that effective oversight is essential to preserve citizens’ trust and uphold the GDPR’s credibility.
The DPC, headquartered in Dublin, supervises major tech firms such as Meta, Apple, and Google under the EU’s privacy regime. Critics have long accused it of being too lenient toward large companies operating in Ireland’s digital sector.
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As the European Commission’s public consultation on the Digital Fairness Act enters its final phase, growing criticism points to flaws in how citizen feedback is collected.
Critics say the survey’s structure favours those who support additional regulation while restricting opportunities for dissenting voices to explain their reasoning. The issue raises concerns over how such results may influence the forthcoming impact assessment.
The Call for Evidence and Public Consultation, hosted on the Have Your Say portal, allows only supporters of the Commission’s initiative to provide detailed responses. Those who oppose new regulation are reportedly limited to choosing a single option with no open field for justification.
Such an approach risks producing a partial view of European opinion rather than a balanced reflection of stakeholders’ perspectives.
Experts argue that this design contradicts the EU’s Better Regulation principles, which emphasise inclusivity and objectivity.
They urge the Commission to raise its methodological standards, ensuring surveys are neutral, questions are not loaded, and all respondents can present argument-based reasoning. Without these safeguards, consultations may become instruments of validation instead of genuine democratic participation.
Advocates for reform believe the Commission’s influence could set a positive precedent for the entire policy ecosystem. By promoting fairer consultation practices, the EU could encourage both public and private bodies to engage more transparently with Europe’s diverse digital community.
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Wikipedia’s human traffic has fallen by 8% over the past year, a decline the Wikimedia Foundation attributes to changing information habits driven by AI and social media.
The foundation’s Marshall Miller explained that updates to Wikipedia’s bot detection system revealed much of the earlier traffic surge came from undetected bots, revealing a sharper drop in genuine visits.
Miller pointed to the growing use of AI-generated search summaries and the rise of short-form video as key factors. Search engines now provide direct answers using generative AI instead of linking to external sources, while younger users increasingly turn to social video platforms rather than traditional websites.
Although Wikipedia’s knowledge continues to feed AI models, fewer people are reaching the original source.
The foundation warns that the shift poses risks to Wikipedia’s volunteer-driven ecosystem and donation-based model. With fewer visitors, fewer contributors may update content and fewer donors may provide financial support.
Miller urged AI companies and search engines to direct users back to the encyclopedia, ensuring both transparency and sustainability.
Wikipedia is responding by developing a new framework for content attribution and expanding efforts to reach new readers. The foundation also encourages users to support human-curated knowledge by citing original sources and recognising the people behind the information that powers AI systems.
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Across India, a growing number of worshippers are using AI for spiritual guidance. From chatbots like GitaGPT to robotic deities in temples, technology is changing how people connect with faith.
Apps trained on Hindu scriptures offer personalised advice, often serving as companions for those seeking comfort and purpose in a rapidly changing world.
Developers such as Vikas Sahu have built AI chatbots based on the Bhagavad Gita, attracting thousands of users in just days. Major organisations like the Isha Foundation have also adopted AI to deliver ancient wisdom through modern apps, blending spiritual teachings with accessibility.
Large religious gatherings, including the Maha Kumbh Mela, now use AI tools and virtual reality to guide and connect millions of devotees.
While many find inspiration in AI-guided spirituality, experts warn of ethical and cultural challenges. Anthropologist Holly Walters notes that users may perceive AI-generated responses as divine truth, which could distort traditional belief systems.
Oxford researcher Lyndon Drake adds that AI might challenge the authority of religious leaders, as algorithms shape interpretations of sacred texts.
Despite the risks, faith-driven AI continues to thrive. For some devotees, digital gods and chatbots offer something traditional structures often cannot- immediate, non-judgemental access to spiritual guidance at any time.
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