Royal Unibrew embraces hybrid AI-human teams

Denmark’s Royal Unibrew has introduced five AI-generated ‘colleagues’ into its workforce, in a move the brewer describes as a step towards unlocking the full potential of its staff.

Designed by Danish firm Manifold AI, the digital assistants are integrated into daily operations, assisting with tasks such as market analysis, data management, and food pairing. Each AI has a name, backstory and face, which, according to the company, has significantly increased engagement among employees.

The virtual colleagues – named KondiKai, Athena, Prometheus, Moller and Ella – are used across departments via chat and email. Their arrival has helped streamline routine tasks, allowing human employees to focus on creative and strategic work.

According to staff, their input has improved efficiency, particularly by reducing time spent on searching past reports or handling emails. AI agent Athena, for example, assists with real-time market insights and report navigation for Royal Unibrew’s analysts.

While employees have welcomed the AI tools, managers caution that human judgement remains essential.

Marketing director Michala Svane believes the blend of digital and human capabilities can create more agile teams, but others stress the need for critical thinking when relying on machine-generated input.

Experts also raise questions about the long-term effects of such hybrid teams, including the psychological and social dynamics of working alongside AI ‘colleagues’.

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DOJ adds to Google’s antitrust trial the AI-driven search monopoly

The US Department of Justice (DOJ) launched its opening arguments this week in a landmark antitrust trial against Google, aiming to curb the tech giant’s dominance in online search and prevent it from leveraging AI to entrench its position further.

Prosecutors argue that Google’s market control is bolstered by exclusive contracts, such as being the default smartphone search engine, and now by integrating AI tools that guide users back to its ecosystem. 

The DOJ calls for decisive action, including the potential sale of Google’s Chrome browser and changes to its default settings agreements with device manufacturers.

Central to the DOJ’s argument is the concern that Google’s AI products, including its Gemini app installed on Samsung devices, create feedback loops reinforcing its search monopoly

Court documents reveal that Google pays Samsung a significant monthly sum for this privilege, with the deal potentially extending into 2028. 

The DOJ contends that remedies must be forward-looking to ensure competition as generative AI becomes increasingly intertwined with search.

Google, however, rejects the proposed measures as excessive. Its legal team argues that competitors perform well in AI without regulatory intervention and that forced divestitures or licensing obligations would harm innovation. 

The company insists that AI falls outside the scope of the case, which is focused on traditional search, and has pledged to appeal any adverse ruling. 

A key concern for Google is the DOJ’s suggestion that, should other remedies fail, the court could mandate the breakup of its Android mobile business, a move Google claims would disrupt the wider digital ecosystem.

DOJ officials emphasised that the legal remedies proposed are nonpartisan and reflect a consistent policy direction. Meanwhile, other tech giants, including Meta, are also under increasing scrutiny, with separate trials looming over market dominance and acquisitions.

AI startup caught in Dev Mode trademark row

Figma has issued a cease-and-desist letter to Swedish AI startup Loveable over the use of the term ‘Dev Mode,’ a name Figma trademarked in 2023.

Loveable recently introduced its own Dev Mode feature, prompting the design platform to demand the startup stop using the name, citing its established use and intellectual property rights.

Figma’s version of Dev Mode helps bridge the gap between designers and developers, while Loveable’s tool allows users to preview and edit code without linking to GitHub.

Despite their differing functions, Figma insists on protecting the trademark, even though ‘developer mode’ is a widely used phrase across many software platforms. Companies such as Atlassian and Wix have used similar terminology long before Figma obtained the trademark.

The legal move arrives as Figma prepares for an initial public offering, following Adobe’s failed acquisition attempt in 2023. The sudden emphasis on brand protection suggests the company is taking extra care with its intellectual assets ahead of its potential stock market debut.

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TSMC profits surge despite trade concerns

Taiwan Semiconductor Manufacturing Company (TSMC) posted a significant jump in quarterly profits, driven by robust demand for AI chips. Net income rose by just over 60% year-on-year to NT$360.7bn (£9.77bn), outpacing analysts’ expectations.

Revenue also grew by 41.6% compared to the same period in 2024, although it dipped slightly from the previous quarter due to weaker smartphone sales.

The world’s largest contract chipmaker has not yet seen any major changes in customer behaviour, including from Apple and Nvidia, despite increasing uncertainty over potential US tariffs on Taiwanese semiconductors.

While concerns about trade tensions grow, particularly with former President Donald Trump suggesting the US should reclaim chip production, TSMC says it is continuing with business as usual for now.

Instead of scaling back, TSMC is expanding its investment in the US, with plans to spend up to $160bn. Analysts believe this move could help the firm argue for a more favourable position should tariff negotiations intensify.

The company’s Chief Financial Officer, Wendell Huang, acknowledged the risks posed by changing trade policies but said revenue growth is still expected in the next quarter.

Despite global pressures, TSMC remains optimistic, forecasting revenue between $28.4bn and $29.2bn. Although the company’s shares have fallen more than 20% so far this year, some analysts say the stock is now undervalued and well-positioned to rebound once market conditions stabilise.

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Gemini Live screensharing now free for all Android users

Google has announced that Gemini Live’s screen and camera sharing capabilities will now be free for all Android users through the Gemini app.

The AI feature, which enables the app to interpret and respond to real-time visuals from a device’s screen or camera, had initially launched exclusively for Pixel 9 and Samsung Galaxy S25 users.

The company originally planned to restrict wider access to those subscribed to Gemini Advanced, but has now reversed that decision following strong user feedback. Google confirmed the broader rollout is beginning today and will continue over the coming weeks.

A promotional video released by the company demonstrates the feature in action, with a user pointing their phone camera at an aquarium while Gemini provides information about the marine life.

In a similar move, Microsoft has launched its own AI tool, Copilot Vision, for free via the Edge browser.

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OpenAI deploys new safeguards for AI models to curb biothreat risks

OpenAI has introduced a new monitoring system to reduce the risk of its latest AI models, o3 and o4-mini, being misused to create chemical or biological threats.

The ‘safety-focused reasoning monitor’ is built to detect prompts related to dangerous materials and instruct the AI models to withhold potentially harmful advice, instead of providing answers that could aid bad actors.

These newer models represent a major leap in capability compared to previous versions, especially in their ability to respond to prompts about biological weapons. To counteract this, OpenAI’s internal red teams spent 1,000 hours identifying unsafe interactions.

Simulated tests showed the safety monitor successfully blocked 98.7% of risky prompts, although OpenAI admits the system does not account for users trying again with different wording, a gap still covered by human oversight instead of relying solely on automation.

Despite assurances that neither o3 nor o4-mini meets OpenAI’s ‘high risk’ threshold, the company acknowledges these models are more effective at answering dangerous questions than earlier ones like o1 and GPT-4.

Similar monitoring tools are also being used to block harmful image generation in other models, yet critics argue OpenAI should do more.

Concerns have been raised over rushed testing timelines and the lack of a safety report for GPT-4.1, which was launched this week instead of being accompanied by transparency documentation.

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AMD warns of financial hit from US AI chip export ban

AMD has warned that new US government restrictions on exporting AI chips to China and several other countries could materially affect its earnings.

The company said it may face charges of up to $800 million related to unsold inventory, purchase commitments, and reserves if it fails to secure export licences for its MI308 GPUs, now subject to strict control measures.

In a filing to the US Securities and Exchange Commission, AMD confirmed it would seek the necessary licences but admitted there is no guarantee they will be granted.

The move follows broader export restrictions aimed at protecting national security interests, with US officials arguing that unrestricted access to advanced chips would weaken the country’s strategic lead in AI, instead of preserving it.

AMD’s stock dropped around 6% following the announcement. Competitors are also feeling the impact. Nvidia expects charges of $5.5 billion from similar restrictions, and Intel’s Gaudi hardware line has reportedly been affected as well.

The US Commerce Department has defended the move as necessary to safeguard economic and national interests.

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Businesses face Meta account lockouts

Small businesses are increasingly falling victim to scams targeting their Instagram and Facebook accounts, with many reporting long and frustrating recovery processes.

Wedding dress designer Catherine Deane, whose Instagram account was hacked through a fake verification link, described the experience as ‘devastating’ and said it took four months and persistent efforts to regain access.

Despite repeated emails to Meta, the issue was only resolved after a team member contacted someone within the company directly.

Cybersecurity experts say such cases are far from isolated. Jonas Borchgrevink, head of US-based firm Hacked.com, said thousands of business accounts are compromised every day, with some clients paying for help after months of failed recovery attempts.

Scammers often pose as Meta support, using convincing branding and AI-generated messages to trick victims into revealing passwords or verifying accounts on fake websites. These tactics allow them to gain control of business profiles and demand ransoms or post fraudulent content.

Meta has declined to disclose the full scale of the problem but says it encourages users to enable security features like two-factor authentication and regularly check their account safety. Some businesses, however, report being locked out despite not being hacked.

Others say Meta has wrongly removed pages without notice, with limited recourse or explanation. Calls are growing for the company to improve its support systems and take faster action to help affected businesses recover access to their vital online platforms.

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xAI pushes Grok forward with memory update

Elon Musk’s AI venture, xAI, has introduced a new ‘memory’ feature for its Grok chatbot in a bid to compete more closely with established rivals like ChatGPT and Google’s Gemini.

The update allows Grok to remember details from past conversations, enabling it to provide more personalised responses when asked for advice or recommendations, instead of offering generic answers.

Unlike before, Grok can now ‘learn’ a user’s preferences over time, provided it’s used frequently enough. The move mirrors similar features from competitors, with ChatGPT already referencing full chat histories and Gemini using persistent memory to shape its replies.

According to xAI, the memory is fully transparent. Users can view what Grok has remembered and choose to delete specific entries at any time.

The memory function is currently available in beta on Grok’s website and mobile apps, although not yet accessible to users in the EU or UK.

Instead of being automatically enabled, it can be turned off in the settings menu under Data Controls. Deleting individual memories is also possible via the web chat interface, with Android support expected shortly.

xAI has confirmed it is working on adding memory support to Grok’s version on X. However, this expansion aims to deepen the bot’s integration with users’ digital lives instead of limiting the experience to one platform.

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Quantum spin breakthrough at room temperature

South Korean researchers have discovered a way to generate much stronger spin currents at room temperature, potentially transforming the future of electronics.

By using a mechanism called longitudinal spin pumping and a special iron-rhodium material, the team showed that quantum magnetisation dynamics, once thought to only occur at extremely low temperatures, can take place in everyday conditions.

These currents were found to be 10 times stronger than those created through traditional methods, offering a major boost for low-power, high-performance devices.

Instead of relying on the movement of electric charge, spintronics makes use of the electron’s spin, which reduces energy loss and heat generation. This advancement could be particularly beneficial for Magnetoresistive Random Access Memory (MRAM), a type of memory that depends on spin currents to function.

Researchers believe their findings may significantly cut power consumption in MRAM, which is already being explored by companies like Samsung for next-generation AI computing systems.

The study, carried out by teams at KAIST and Sogang University, used a combination of ultrafast measurement experiments and theoretical analysis to validate the discovery. Experts say the results could lead to a new era of energy-efficient memory and processor technologies.

Instead of stopping here, the researchers now plan to develop novel spintronic device architectures and explore other quantum-based mechanisms to push the limits of what modern electronics can achieve.

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