Content Policy

New Meta smart glasses target sports enthusiasts

Meta is set to launch a new pair of AI-powered smart glasses under the Oakley brand, targeting sports users. Scheduled for release on 20 June, the glasses mark an expansion of Meta’s partnership with eyewear giant EssilorLuxottica.

Oakley’s sporty design and outdoor functionality make it ideal for active users, a market Meta aims to capture with this launch. The glasses will feature a central camera and likely retail for around $360.

This follows the success of Meta’s Ray-Ban smart glasses, which include AI assistant integration and hands-free visual capture. Over two million pairs have been sold since 2023, according to EssilorLuxottica’s CEO.

Meta CEO Mark Zuckerberg continues to push smart eyewear as a long-term replacement for smartphones. With high-fashion Prada smart glasses also in development, Meta is betting on wearable tech becoming the next frontier in computing.

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Canva rolls out text-to-video tool for creators

Canva has launched a new tool powered by Google’s Veo 3 model, allowing users to generate short cinematic video clips using simple text prompts. Known as ‘Create a Video Clip’, the feature produces eight-second videos with sound directly inside the Canva platform.

This marks one of the first commercial uses of Veo 3, which debuted last month. The AI tool is available to Canva Pro, Teams, Enterprise and Nonprofit users, who can generate up to five clips per month initially.

Danny Wu, Canva’s head of AI products, said the feature simplifies video creation with synchronised dialogue, sound effects and editing options. Users can integrate the clips into presentations, social media designs or other formats via Canva’s built-in video editor.

Canva is also extending the tool to users of Leonardo.Ai, a related image generation service. The feature is protected by Canva Shield, a content moderation and indemnity framework aimed at enterprise-level security and trust.

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ChatGPT now supports MCP for business data access, but safety risks remain

OpenAI has officially enabled support for Anthropic’s Model Context Protocol (MCP) in ChatGPT, allowing businesses to connect their internal tools directly to the chatbot through Deep Research.

The development enables employees to retrieve company data from previously siloed systems, offering real-time access to documents and search results via custom-built MCP servers.

Adopting MCP — an open industry protocol recently embraced by OpenAI, Google and Microsoft — opens new possibilities and presents security risks.

OpenAI advises users to avoid third-party MCP servers unless hosted by the official service provider, warning that unverified connections may carry prompt injections or hidden malicious directives. Users are urged to report suspicious activity and avoid exposing sensitive data during integration.

To connect tools, developers must set up an MCP server and create a tailored connector within ChatGPT, complete with detailed instructions. The feature is now live for ChatGPT Enterprise, Team and Edu users, who can share the connector across their workspace as a trusted data source.

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Is AI distorting our view of the Milky Way’s black hole?

A new AI model has created a fresh image of Sagittarius A*, the supermassive black hole at the centre of our galaxy, suggesting it is spinning close to its maximum speed.

The model was trained on noisy data from the Event Horizon Telescope, a globe-spanning network of radio telescopes, using information once dismissed due to atmospheric interference.

Researchers believe this AI-enhanced image shows the black hole’s rotational axis pointing towards Earth, offering potential insights into how radiation and matter behave near such cosmic giants.

By using previously considered unusable data, scientists hope to improve our understanding of black hole dynamics.

However, not all physicists are confident in the results.

Nobel Prize-winning astrophysicist Reinhard Genzel has voiced concern over the reliability of models built on compromised data, stressing that AI should not be treated as a miracle fix. He warned that the new image might be distorted due to the poor quality of its underlying information.

The researchers plan to test their model against newer and more reliable data to address these concerns. Their goal is to refine the AI further and provide more accurate simulations of black holes in the future.

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Deepfake technology fuels new harassment risks

A growing threat of AI-generated media is reshaping workplace harassment, with deepfakes used to impersonate colleagues and circulate fabricated explicit content in the US. Recent studies found that almost all deepfakes were sexually explicit by 2023, often targeting women.

Organisations risk liability under existing laws if deepfake incidents create hostile work environments. New legislation like the TAKE IT DOWN Act and Florida’s Brooke’s Law now mandates rapid removal of non-consensual intimate imagery.

Employers are also bracing for proposed rules requiring strict authentication of AI-generated evidence in legal proceedings. Industry experts advise an urgent review of harassment and acceptable use policies, clear incident response plans and targeted training for HR, legal and IT teams.

Protective measures include auditing insurance coverage for synthetic media claims and staying abreast of evolving state and federal regulations. Forward-looking employers already embed deepfake awareness into their harassment prevention and cybersecurity training to safeguard workplace dignity.

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Meta AI adds pop-up warning after users share sensitive info

Meta has introduced a new pop-up in its Meta AI app, alerting users that any prompts they share may be made public. While AI chat interactions are rarely private by design, many users appeared unaware that their conversations could be published for others to see.

The Discovery feed in the Meta AI app had previously featured conversations that included intimate details—such as break-up confessions, attempts at self-diagnosis, and private photo edits.

According to multiple reports last week, these were often shared unknowingly by users who may not have realised the implications of the app’s sharing functions. Mashable confirmed this by finding such examples directly in the feed.

Now, when a user taps the ‘Share’ button on a Meta AI conversation, a new warning appears: ‘Prompts you post are public and visible to everyone. Your prompts may be suggested by Meta on other Meta apps. Avoid sharing personal or sensitive information.’ A ‘Post to feed’ button then appears below.

Although the sharing step has always required users to confirm, Business Insider reports that the feature wasn’t clearly explained—leading some users to publish their conversations unintentionally. The new alert aims to clarify that process.

As of this week, Meta AI’s Discovery feed features mostly AI-generated images and more generic prompts, often from official Meta accounts. For users concerned about privacy, there is an option in the app’s settings to opt out of the Discovery feed altogether.

Still, experts advise against entering personal or sensitive information into AI chatbots, including Meta AI. Adjusting privacy settings and avoiding the ‘Share’ feature are the best ways to protect your data.

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Social media overtakes TV as main news source in the US

Social media and video platforms have officially overtaken traditional television and news websites as the primary way Americans consume news, according to new research from the Reuters Institute. Over half of respondents (54%) now turn to platforms like Facebook, YouTube, and X (formerly Twitter) for their news, surpassing TV (50%) and dedicated news websites or apps (48%).

The study highlights the growing dominance of personality-driven news, particularly through social video, with figures like podcaster Joe Rogan reaching nearly a quarter of the population weekly. That shift poses serious challenges for traditional media outlets as more users gravitate toward influencers and creators who present news in a casual or partisan style.

There is concern, however, about the accuracy of this new media landscape. Nearly half of global respondents identify online influencers as major sources of false or misleading information, on par with politicians.

At the same time, populist leaders are increasingly using sympathetic online hosts to bypass tough questions from mainstream journalists, often spreading unchecked narratives. The report also notes a rise in AI tools for news consumption, especially among Gen Z, though public trust in AI’s ability to deliver reliable news remains low.

Despite the rise of alternative platforms like Threads and Mastodon, they’ve struggled to gain traction. Even as user habits change, one constant remains: people still value reliable news sources, even if they turn to them less often.

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Workplace deepfake abuse: What employers must know

Deepfake technology—AI-generated videos, images, and audio—has entered the workplace in alarming ways.

Once difficult to produce, deepfakes are now widely accessible and are being used to harass, impersonate, or intimidate employees. These synthetic media attacks can cause deep psychological harm, damage reputations, and expose employers to serious legal risks.

While US federal law hasn’t yet caught up, new legislation like the Take It Down Act and Florida’s Brooke’s Law require platforms to remove non-consensual deepfake content within 48 hours.

Meanwhile, employers could face claims under existing workplace laws if they fail to act on deepfake harassment. Inaction may lead to lawsuits for creating a hostile environment or for negligent oversight.

Most workplace policies still don’t mention synthetic media and something like this creates blind spots, especially during investigations, where fake images or audio could wrongly influence decisions.

Employers need to shift how they assess evidence and protect both accused and accuser fairly. It’s time to update handbooks, train staff, and build clear response plans that include digital impersonation and deepfake abuse.

By treating deepfakes as a modern form of harassment instead of just a tech issue, organisations can respond faster, protect staff, and maintain trust. Proactive training, updated policies, and legal awareness will be crucial to workplace safety in the age of AI.

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Anubis ransomware threatens permanent data loss

A new ransomware threat known as Anubis is making waves in the cybersecurity world, combining file encryption with aggressive monetisation tactics and a rare file-wiping feature that prevents data recovery.

Victims discover their files renamed with the .anubis extension and are presented with a ransom note warning that stolen data will be leaked unless payment is made.

What sets Anubis apart is its ability to permanently erase file contents using a command that overwrites them with zero-byte shells. Although the filenames remain, the data inside is lost forever, rendering recovery impossible.

Researchers have flagged the destructive feature as highly unusual for ransomware, typically seen in cyberespionage rather than financially motivated attacks.

The malware also attempts to change the victim’s desktop wallpaper to reinforce the impact, although in current samples, the image file was missing. Anubis spreads through phishing emails and uses tactics like command-line scripting and stolen tokens to escalate privileges and evade defences.

It operates as a ransomware-as-a-service model, meaning less-skilled cybercriminals can rent and use it easily.

Security experts urge organisations to treat Anubis as more than a typical ransomware threat. Besides strong backup practices, firms are advised to improve email security, limit user privileges, and train staff to spot phishing attempts.

As attackers look to profit from stolen access and unrecoverable destruction, prevention becomes the only true line of defence.

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ChatGPT and generative AI have polluted the internet — and may have broken themselves

The explosion of generative AI tools like ChatGPT has flooded the internet with low-quality, AI-generated content, making it harder for future models to learn from authentic human knowledge.

As AI continues to train on increasingly polluted data, a loop forms in which AI imitates already machine-made content, leading to a steady drop in originality and usefulness. The worrying trend is referred to as ‘model collapse’.

To illustrate the risk, researchers compare clean pre-AI data to ‘low-background steel’ — a rare kind of steel made before nuclear testing in 1945, which remains vital for specific medical and scientific uses.

Just as modern steel became contaminated by radiation, modern data is being tainted by artificial content. Cambridge researcher Maurice Chiodo notes that pre-2022 data is now seen as ‘safe, fine, clean’, while everything after is considered ‘dirty’.

A key concern is that techniques like retrieval-augmented generation, which allow AI to pull real-time data from the internet, risk spreading even more flawed content. Some research already shows that it leads to more ‘unsafe’ outputs.

If developers rely on such polluted data, scaling models by adding more information becomes far less effective, potentially hitting a wall in progress.

Chiodo argues that future AI development could be severely limited without a clean data reserve. He and his colleagues urge the introduction of clear labelling and tighter controls on AI content.

However, industry resistance to regulation might make meaningful reform difficult, raising doubts about whether the pollution can be reversed.

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