Thirty crypto executives have urged Finance Minister Rachel Reeves to adopt a national stablecoin strategy, warning the UK could fall behind faster-moving markets. Their letter warned that the UK could remain a ‘rule-taker’ in digital assets without regulation.
The executives criticised the UK’s current legal definition of stablecoins as outdated and misleading, likening it to defining a cheque merely as’ paper concerning currency.’
They argue that stablecoins should be recognised as digital payment rails already used globally. Signatories include Coinbase, Kraken, Copper, Fireblocks, BitGo, and VanEck leaders, calling for regulation that treats stablecoins as financial infrastructure rather than risks.
Analysts stress stablecoins remain essential, acting as the ‘cash equivalent’ for digital assets and enabling faster blockchain transfers than traditional banking.
Industry experts, including HSBC’s Daragh Maher, emphasised that growth depends on a suitable regulatory environment. Clear rules could strengthen the UK’s global financial role and let stablecoins play a key part in its digital finance system.
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The Commonwealth Bank of Australia has reversed plans to cut 45 customer service roles following union pressure over the use of AI in its call centres.
The Finance Sector Union argued that CBA was not transparent about call volumes, taking the case to the Workplace Relations Tribunal. Staff reported rising workloads despite claims that the bank’s voice bot reduced calls by 2,000 weekly.
CBA admitted its redundancy assessment was flawed, stating that it had not fully considered the business needs. Impacted employees are being offered the option to remain in their current roles, relocate within the firm, or depart.
The Bank of Australia apologised and pledged to review internal processes. Chief executive Matt Comyn has promoted AI adoption, including a new partnership with OpenAI, but the union called the reversal a ‘massive win’ for workers.
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Google has announced that Gemini will soon power its smart home platform, replacing Google Assistant on existing Nest speakers and displays from October. The feature will launch initially as an early preview.
Gemini for Home promises more natural conversations and can manage complex household tasks, including controlling smart devices, creating calendars, and handling lists or timers through natural language commands. It will also support Gemini Live for ongoing dialogue.
Google says the upgrade is designed to serve all household members and visitors, offering hands-free help and integration with streaming platforms. The move signals a renewed focus on Google Home, a product line that has been largely overlooked in recent years.
The announcement hints at potential new hardware, given that Google’s last Nest Hub was released in 2021 and the Nest Audio speaker dates back to 2020.
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Meta has frozen hiring in its AI division, halting a spree that had drawn top researchers with lucrative offers. The company described the pause as basic organisational planning, aimed at building a more stable structure for its superintelligence ambitions.
The freeze, first reported by the Wall Street Journal, began last week and prevents employees in the unit from transferring to other teams. Its duration has not been communicated, and Meta declined to comment on the number of hires already made.
The decision follows growing tensions inside the newly created Superintelligence Labs, where long-serving researchers have voiced concerns over disparities in pay and recognition compared with recruits.
Alexandr Wang, who leads the division, recently told staff that superintelligence is approaching and that significant changes are necessary to prepare. His email outlined Meta’s most significant reorganisation of its AI efforts.
The pause also comes amid investor scrutiny, as analysts warn that heavy reliance on stock-based compensation to attract talent could fuel innovation or dilute shareholder value without precise results.
Despite these concerns, Meta’s stock has risen by about 28% since the start of the year, reflecting continued investor confidence in the company’s long-term prospects.
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Private conversations with xAI’s chatbot Grok have been exposed online, raising serious concerns over user privacy and AI safety. Forbes found that Grok’s ‘share’ button created public URLs, later indexed by Google and other search engines.
The leaked content is troubling, ranging from questions on hacking crypto wallets to instructions on drug production and even violent plots. Although xAI bans harmful use, some users still received dangerous responses, which are now publicly accessible online.
The exposure occurred because search engines automatically indexed the shareable links, a flaw echoing previous issues with other AI platforms, including OpenAI’s ChatGPT. Designed for convenience, the feature exposed sensitive chats, damaging trust in xAI’s privacy promises.
The incident pressures AI developers to integrate stronger privacy safeguards, such as blocking the indexing of shared content and enforcing privacy-by-design principles. Users may hesitate to use chatbots without fixes, fearing their data could reappear online.
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Imagine dreaming of your next holiday and feeling a rush of excitement. That emotion is when your attention is most engaged. Neuro-contextual advertising aims to meet you at such emotional peaks.
Neuro-contextual AI goes beyond page-level relevance. It interprets emotional signals of interest and intent in real time while preserving user privacy. It asks why users interact with content at a specific moment, not just what they view.
When ads align with emotion, interest and intention, engagement rises. A car ad may shift tone accordingly, action-fuelled visuals for thrill seekers and softer, nostalgic tones for someone browsing family stories.
Emotions shape memory and decisions. Emotionally intelligent advertising fosters connection, meaning and loyalty rather than just attention.
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A new study reveals that prominent AI models now show a marked preference for AI‑generated content over that created by humans.
Tests involving GPT‑3.5, GPT-4 and Llama 3.1 demonstrated a consistent bias, with models selecting AI‑authored text significantly more often than human‑written equivalents.
Researchers warn this tendency could marginalise human creativity, especially in fields like education, hiring and the arts, where original thought is crucial.
There are concerns that such bias may arise not by accident but by design flaws embedded within the development of these systems.
Policymakers and developers are urged to tackle this bias head‑on to ensure future AI complements rather than replaces human contribution.
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Google Translate may soon evolve into a full-featured language learning tool, introducing AI-powered lessons rivalling apps like Duolingo.
The latest Translate app release recently uncovered a hidden feature called Practice. It enables users to take part in interactive learning scenarios.
Early tests allow learners to choose languages such as Spanish and French, then engage with situational exercises from beginner to advanced levels.
The tool personalises lessons using AI, adapting difficulty and content based on a user’s goals, such as preparing for specific trips.
Users can track progress, receive daily practice reminders, and customise prompts for listening and speaking drills through a dedicated settings panel.
The feature resembles gamified learning apps and may join Google’s premium AI offerings, though pricing and launch plans remain unconfirmed.
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Meta is launching a research lab focused on superintelligence, led by Scale AI founder Alexandr Wang, in an attempt to regain ground in the global AI race.
Mark Zuckerberg is reportedly in talks to invest billions into Scale, reflecting strong confidence in Wang’s data-driven approach and industry influence.
While Meta’s past efforts with its Llama models gained traction, its latest release, Llama 4, failed to meet expectations and drew criticism.
Wang’s appointment arrives during an ongoing talent exodus from Meta, with several senior AI researchers departing for rivals or founding startups.
The new lab is separate from Meta’s existing FAIR division, led by Yann LeCun, who has dismissed the idea of chasing superintelligence. Meta’s partnership with Scale mirrors deals by Microsoft, Amazon, and Google, aiming to secure top AI talent without formal acquisitions.
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