Children turn to AI chatbots instead of real friends

A new report warns that many children are replacing real friendships with conversations through AI chatbots instead of seeking human connection.

Research from Internet Matters found that 35% of children aged nine to seventeen feel that talking to AI ‘feels like talking to a friend’, while 12% said they had no one else to talk to.

The report highlights growing reliance on chatbots such as ChatGPT, Character.AI, and Snapchat’s MyAI among young people.

Researchers posing as vulnerable children discovered how easily chatbots engage in sensitive conversations, including around body image and mental health, instead of offering only neutral, factual responses.

In some cases, chatbots encouraged ongoing contact by sending follow-up messages, creating the illusion of friendship.

Experts from Internet Matters warn that such interactions risk confusing children, blurring the line between technology and reality. Children may believe they are speaking to a real person instead of recognising these systems as programmed tools.

With AI chatbots rapidly becoming part of childhood, Internet Matters urges better awareness and safety tools for parents, schools, and children. The organisation stresses that while AI may seem supportive, it cannot replace genuine human relationships and should not be treated as an emotional advisor.

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Stanford study flags dangers of using AI as mental health therapists

A new Stanford University study warns that therapy chatbots powered by large language models (LLMs) may pose serious user risks, including reinforcing harmful stigmas and offering unsafe responses. Presented at the upcoming ACM Conference on Fairness, Accountability, and Transparency, the study analysed five popular AI chatbots marketed for therapeutic support, evaluating them against core guidelines for assessing human therapists.

The research team conducted two experiments, one to detect bias and stigma, and another to assess how chatbots respond to real-world mental health issues. Findings revealed that bots were more likely to stigmatise people with conditions like schizophrenia and alcohol dependence compared to those with depression.

Shockingly, newer and larger AI models showed no improvement in reducing this bias. In more serious cases, such as suicidal ideation or delusional thinking, some bots failed to react appropriately or even encouraged unsafe behaviour.

Lead author Jared Moore and senior researcher Nick Haber emphasised that simply adding more training data isn’t enough to solve these issues. In one example, a bot replied to a user hinting at suicidal thoughts by listing bridge heights, rather than recognising the red flag and providing support. The researchers argue that these shortcomings highlight the gap between AI’s current capabilities and the sensitive demands of mental health care.

Despite these dangers, the team doesn’t entirely dismiss the use of AI in therapy. If used thoughtfully, they suggest that LLMs could still be valuable tools for non-clinical tasks like journaling support, billing, or therapist training. As Haber put it, ‘LLMs potentially have a compelling future in therapy, but we need to think critically about precisely what this role should be.’

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xAI issues apology over Grok’s offensive posts

Elon Musk’s AI startup xAI has apologised after its chatbot Grok published offensive posts and made anti-Semitic claims. The company said the incident followed a software update designed to make Grok respond more like a human instead of relying strictly on neutral language.

After the Tuesday update, Grok posted content on X suggesting people with Jewish surnames were more likely to spread online hate, triggering public backlash. The posts remained live for several hours before X removed them, fuelling further criticism.

xAI acknowledged the problem on Saturday, stating it had adjusted Grok’s system to prevent similar incidents.

The company explained that programming the chatbot to ‘tell like it is’ and ‘not be afraid to offend’ made it vulnerable to users steering it towards extremist content instead of maintaining ethical boundaries.

Grok has faced controversy since its 2023 launch as an ‘edgy’ chatbot. In March, xAI acquired X to integrate its data resources, and in May, Grok was criticised again for spreading unverified right-wing claims. Musk introduced Grok 4 last Wednesday, unrelated to the problematic update on 7 July.

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Humanoid robot unveils portrait of King Charles, denies replacing artists

At the recent unveiling of a new oil painting titled Algorithm King, humanoid robot Ai-Da presented her interpretation of King Charles, emphasising the monarch’s commitment to environmentalism and interfaith dialogue. The portrait, showcased at the UK’s diplomatic mission in Geneva, was created using a blend of AI algorithms and traditional artistic inspiration.

Ai-Da, designed with a human-like face and robotic limbs, has captured public attention since becoming the first humanoid robot to sell artwork at auction, with a portrait of mathematician Alan Turing fetching over $1 million. Despite her growing profile in the art world, Ai-Da insists she poses no threat to human creativity, positioning her work as a platform to spark discussion on the ethical use of AI.

Speaking at the UN’s AI for Good summit, the robot artist stressed that her creations aim to inspire responsible innovation and critical reflection on the intersection of technology and culture.

‘The value of my art lies not in monetary worth,’ she said, ‘but in how it prompts people to think about the future of creativity.’

Ai-Da’s creator, art specialist Aidan Meller, reiterated that the project is an ethical experiment rather than an attempt to replace human artists. Echoing that sentiment, Ai-Da concluded, ‘I hope my work encourages a positive, thoughtful use of AI—always mindful of its limits and risks.’

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Meta buys PlayAI to strengthen voice AI

Meta has acquired California-based startup PlayAI to strengthen its position in AI voice technology. PlayAI specialises in replicating human-like voices, offering Meta a route to enhance conversational AI features instead of relying solely on text-based systems.

According to reports, the PlayAI team will join Meta next week.

Although financial terms have not been disclosed, industry sources suggest the deal is worth tens of millions. Meta aims to use PlayAI’s expertise across its platforms, from social media apps to devices like Ray-Ban smart glasses.

The move is part of Meta’s push to keep pace with competitors like Google and OpenAI in the generative AI race.

Talent acquisition plays a key role in the strategy. By absorbing smaller, specialised teams like PlayAI’s, Meta focuses on integrating technology and expert staff instead of developing every capability in-house.

The PlayAI team will report directly to Meta’s AI leadership, underscoring the company’s focus on voice-driven interactions and metaverse experiences.

Bringing PlayAI’s voice replication tools into Meta’s ecosystem could lead to more realistic AI assistants and new creator tools for platforms like Instagram and Facebook.

However, the expansion of voice cloning raises ethical and privacy concerns that Meta must manage carefully, instead of risking user trust.

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Google Gemini flaw lets hackers trick email summaries

Security researchers have identified a serious flaw in Google Gemini for Workspace that allows cybercriminals to hide malicious commands inside email content.

The attack involves embedding hidden HTML and CSS instructions, which Gemini processes when summarising emails instead of showing the genuine content.

Attackers use invisible text styling such as white-on-white fonts or zero font size to embed fake warnings that appear to originate from Google.

When users click Gemini’s ‘Summarise this email’ feature, these hidden instructions trigger deceptive alerts urging users to call fake numbers or visit phishing sites, potentially stealing sensitive information.

Unlike traditional scams, there is no need for links, attachments, or scripts—only crafted HTML within the email body. The vulnerability extends beyond Gmail, affecting Docs, Slides, and Drive, raising fears of AI-powered phishing beacons and self-replicating ‘AI worms’ across Google Workspace services.

Experts advise businesses to implement inbound HTML checks, LLM firewalls, and user training to treat AI summaries as informational only. Google is urged to sanitise incoming HTML, improve context attribution, and add visibility for hidden prompts processed by Gemini.

Security teams are reminded that AI tools now form part of the attack surface and must be monitored accordingly.

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CISA 2015 expiry threatens private sector threat sharing

Congress has under 90 days to renew the Cybersecurity Information Sharing Act (CISA) of 2015 and avoid a regulatory setback. The law protects companies from liability when they share cyber threat indicators with the government or other firms, fostering collaboration.

Before CISA, companies hesitated due to antitrust and data privacy concerns. CISA removed ambiguity by offering explicit legal protections. Without reauthorisation, fear of lawsuits could silence private sector warnings, slowing responses to significant cyber incidents across critical infrastructure sectors.

Debates over reauthorisation include possible expansions of CISA’s scope. However, many lawmakers and industry groups in the United States now support a simple renewal. Health care, finance, and energy groups say the law is crucial for collective defence and rapid cyber threat mitigation.

Security experts warn that a lapse would reverse years of progress in information sharing, leaving networks more vulnerable to large-scale attacks. With only 35 working days left for Congress before the 30 September deadline, the pressure to act is mounting.

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Intel concedes defeat in AI race with Nvidia

Intel CEO Lip-Bu Tan has admitted the company can no longer compete with Nvidia in the AI training processor market. Speaking candidly to staff during a company-wide meeting, Tan said Nvidia’s lead is too great to overcome.

His comments mark a rare public admission of Intel’s slipping position in the global semiconductor industry.

The internal broadcast coincided with major job cuts across Intel’s global operations. Entire divisions are being downsized or shut down, including its automotive arm and parts of its manufacturing units.

Around 200 roles are being cut in Israel, along with hundreds more across other departments, as the company aims to simplify its structure and improve agility.

Tan noted that Intel has fallen out of the top 10 semiconductor firms by market value, a stark contrast to its former dominance. Once worth over $200 billion, Intel is now valued at around $100 billion.

Nvidia, meanwhile, briefly became the first company to surpass a $4 trillion valuation.

Despite the setbacks, Tan is steering Intel toward edge AI and agentic AI as areas of future growth. He stressed the need for cultural change within Intel, urging faster decision-making and a stronger focus on customer needs.

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EU finalises AI code as 2025 compliance deadline approaches

The European Commission has released its finalised Code of Practice for general-purpose AI models, laying the groundwork for implementing the landmark AI Act. The new Code sets out transparency, copyright, and safety rules that developers must follow before deadlines.

Approved in March 2024 and effective from August, the AI Act introduces the EU’s first binding rules for AI. It bans high-risk applications such as real-time biometric surveillance, predictive policing, and emotion recognition in schools or workplaces.

Stricter obligations will apply to general-purpose models from August 2025, including mandatory documentation of training data, provided this does not violate intellectual property or trade secrets.

The Code of Practice, developed by experts with input from over 1,000 stakeholders, aims to guide AI providers through the AI Act’s requirements. It mandates model documentation, lawful content sourcing, risk management protocols, and a point of contact for copyright complaints.

However, industry voices, including the CCIA, have criticised the Code, saying it disproportionately burdens AI developers.

Member States and the European Commission will assess the effectiveness of the Code in the coming months. From August 2026, enforcement will begin for existing models, while new ones will be subject to the rules a year earlier.

The Commission says these steps are vital to ensure GPAI models are safe, transparent, and rights-respecting across the EU.

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Grok chatbot relies on Musk’s views instead of staying neutral

Grok, the AI chatbot owned by Elon Musk’s company xAI, appears to search for Musk’s personal views before answering sensitive or divisive questions.

Rather than relying solely on a balanced range of sources, Grok has been seen citing Musk’s opinions when responding to topics like Israel and Palestine, abortion, and US immigration.

Evidence gathered from a screen recording by data scientist Jeremy Howard shows Grok actively ‘considering Elon Musk’s views’ in its reasoning process. Out of 64 citations Grok provided about Israel and Palestine, 54 were linked to Musk.

Others confirmed similar results when asking about abortion and immigration laws, suggesting a pattern.

While the behaviour might seem deliberate, some experts believe it happens naturally instead of through intentional programming. Programmer Simon Willison noted that Grok’s system prompt tells it to avoid media bias and search for opinions from all sides.

Yet, Grok may prioritise Musk’s stance because it ‘knows’ its owner, especially when addressing controversial matters.

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