Grok controversies shadow Musk’s new Grokipedia project

Elon Musk has announced that his company xAI is developing Grokipedia, a planned Wikipedia rival powered by its Grok AI chatbot. He described the project as a step towards achieving xAI’s mission of understanding the universe.

In a post on X, Musk called Grokipedia a ‘necessary improvement over Wikipedia,’ renewing his criticism of the platform’s funding model and what he views as ideological bias. He has long accused Wikimedia of leaning left and reflecting ‘woke’ influence.

Despite Musk’s efforts to position Grok as a solution to bias, the chatbot has occasionally turned on its creator. Earlier this year, it named Musk among the people doing the most harm to the US, alongside Donald Trump and Vice President JD Vance.

The Grok 4 update also drew controversy when users reported that the chatbot praised and adopted the surname of a controversial historical figure in its responses, sparking criticism of its safety. Such incidents raised questions about the limits of Musk’s oversight.

Grok is already integrated into X as a conversational assistant, providing context and explanations in real time. Musk has said it will power the platform’s recommendation algorithm by late 2025, allowing users to customise their feeds dynamically through direct requests.

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Europe urged to seize AI opportunity through action

Europe faces a pivotal moment to lead in AI, potentially boosting GDP by over €1.2 trillion, according to Google’s Kent Walker. Urgent action is needed to close the gap between ambition and implementation.

Complex EU regulations, with over 100 new digital rules since 2019, hinder businesses, costing an estimated €124 billion annually. Simplifying these, as suggested by Mario Draghi’s report, could unlock €450 billion in AI-driven growth.

Focused, balanced policies must prioritise real-world AI impacts without stifling progress.

Skilling Europe’s workforce is crucial for AI adoption, with only 14% of EU firms using generative AI compared to 83% in China. Google’s initiatives, like its €15 million AI Opportunity Fund, support digital training. Public-private partnerships can scale these efforts, creating new job categories.

Scaling AI demands secure, dependable tools and ongoing momentum. Google’s AlphaFold and GNoME fuel advances in biology and materials science, while partnerships with European companies safeguard data sovereignty. Joint efforts will help Europe lead globally in AI.

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Cryptocurrency mining banned on Abu Dhabi farms

Abu Dhabi’s Agriculture and Food Safety Authority (ADAFSA) reaffirms ban on crypto mining on farms to promote sustainable land use. Such activities fall outside the permitted economic uses, which are strictly limited to agriculture and livestock production.

The authority aims to protect the emirate’s agricultural sustainability and biosecurity.

Inspections revealed multiple farms misusing agricultural land for cryptocurrency mining, violating regulations designed to preserve farmland for its intended purpose. ADAFSA considers these activities detrimental to the core objectives of farming.

Consequently, the authority has vowed to take decisive action against non-compliant farms to uphold its policies. Violators face severe penalties, including a AED100,000 fine, doubled for repeat offences, alongside suspension of all farm support services.

Additional measures include electricity disconnection and confiscation of mining equipment, which is then referred to relevant authorities for further legal action. These steps ensure compliance with agricultural regulations.

ADAFSA calls on farm owners and workers to adhere to approved agricultural practices to maintain access to support programmes. They enforces measures to protect Abu Dhabi’s agricultural sustainability and prevent practices that harm its environmental and economic goals.

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OpenAI’s Sora app raises tension between mission and profit

The US AI company, OpenAI, has entered the social media arena with Sora, a new app offering AI-generated videos in a TikTok-style feed.

The launch has stirred debate among current and former researchers, some praising its technical achievement while others worry it diverges from OpenAI’s nonprofit mission to develop AI for the benefit of humanity.

Researchers have expressed concerns about deepfakes, addictive loops and the ethical risks of AI-driven feeds. OpenAI insists Sora is designed for creativity rather than engagement, highlighting safeguards such as reminders for excessive scrolling and prioritisation of content from known contacts.

The company argues that revenue from consumer apps helps fund advanced AI research, including its pursuit of artificial general intelligence.

A debate that reflects broader tensions within OpenAI: balancing commercial growth with its founding mission. Critics fear the consumer push could dilute its focus, while executives maintain products like ChatGPT and Sora expand public access and provide essential funding.

Regulators are watching closely, questioning whether the company’s for-profit shift undermines its stated commitment to safety and ethical development.

Sora’s future remains uncertain, but its debut marks a significant expansion of AI-powered social platforms. Whether OpenAI can avoid the pitfalls that defined earlier social media models will be a key test of both its mission and its technology.

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Samsung joins OpenAI for AI data centre push

Samsung Electronics, alongside OpenAI, has signed a letter of intent to collaborate on AI data centre infrastructure. The partnership leverages Samsung’s expertise in semiconductors, cloud services, and shipbuilding. Combining these strengths aims to accelerate advancements in global AI technology.

Samsung Electronics will provide energy-efficient DRAM for OpenAI’s Stargate, meeting a projected demand of 900,000 wafers monthly. Advanced chip packaging and heterogeneous integration further enhance Samsung’s ability to deliver tailored semiconductor solutions for AI workflows.

Samsung SDS will design and operate Stargate AI data centres while offering enterprise AI services, including ChatGPT integration for Korean businesses. Meanwhile, Samsung C&T and Samsung Heavy Industries will explore floating data centres to address land scarcity and reduce emissions.

Signed in Seoul, the agreement positions Samsung to support Korea’s ambition to rank among the top three AI nations globally. Broader adoption of ChatGPT within Samsung’s operations will also drive workplace AI transformation.

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Gate Group secures MiCA license in Malta

Gate Group’s Malta-based subsidiary, Gate Technology Ltd, has secured a MiCA license from the Malta Financial Services Authority. The license authorises crypto asset trading and custody services.

Founder Dr. Han underscored compliance as central to operations, praising Malta’s progressive regulatory framework. The move aligns with Gate Group’s focus on transparency and user safety across Europe.

Securing the MiCA license enables Gate Europe to initiate EU passporting for broader regional expansion. CEO Giovanni Cunti outlined plans to strengthen compliance while offering secure, professional services.

Gate Group holds regulatory approvals in jurisdictions like Italy, Hong Kong, and Dubai. Malta’s transparent regulations and innovative environment make it an ideal European base. The company seeks to foster sustainable growth in the region’s crypto ecosystem.

Establishing a foothold in Malta positions Gate Group to leverage the country’s role as a crypto hub. Continued investment will support the local digital economy, ensuring long-term development and regulatory adherence in Europe’s crypto market.

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Instagram head explains why ads feel like eavesdropping

Adam Mosseri has denied long-standing rumours that the platform secretly listens to private conversations to deliver targeted ads. In a video he described as ‘myth busting’, Mosseri said Instagram does not use the phone’s microphone to eavesdrop on users.

He argued that such surveillance would not only be a severe breach of privacy but would also quickly drain phone batteries and trigger visible microphone indicators.

Instead, Mosseri outlined four reasons why adverts may appear suspiciously relevant: online searches and browsing history, the influence of friends’ online behaviour, rapid scrolling that leaves subconscious impressions, and plain coincidence.

According to Mosseri, Instagram users may mistake targeted advertising for surveillance because algorithms incorporate browsing data from advertisers, friends’ interests, and shared patterns across users.

He stressed that the perception of being overheard is often the result of ad targeting mechanics rather than eavesdropping.

Despite his explanation, Mosseri admitted the rumour is unlikely to disappear. Many viewers of his video remained sceptical, with some comments suggesting his denial only reinforced their suspicions about how social media platforms operate.

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Microsoft boosts productivity with AI-powered subscriptions

Microsoft has enhanced its Microsoft 365 subscriptions by deeply integrating Copilot, its AI assistant, into apps like Word, Excel, and Outlook. A new Microsoft 365 Premium plan, priced at £19.99 monthly, combines advanced AI features with productivity tools.

The plan targets professionals, entrepreneurs, and families seeking to streamline tasks efficiently.

Microsoft 365 Personal and Family subscribers gain higher usage limits for Copilot features like image generation and deep research at no extra cost. Copilot Chat, now available across these apps, assists with drafting, analysis, and automation.

These updates aim to embed AI seamlessly into daily workflows. Samsung Electronics will provide energy-efficient DRAM for OpenAI’s Stargate, meeting a projected demand of 900,000 wafers monthly.

Meanwhile, Microsoft’s Frontier programme offers subscribers access to experimental AI tools, such as Office Agent, enhancing productivity. A global student offer provides free Microsoft 365 Personal for a year.

Fresh icons for Word, Excel, and other apps highlight Microsoft’s AI-driven evolution. Secure workplace AI use, backed by enterprise data protection, ensures compliance and safety. These innovations establish Microsoft 365 as a leader in AI-powered productivity.

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How OpenAI designs Sora’s recommendation feed for creativity and safety

OpenAI outlines the core principles behind Sora’s content feed in its Sora Feed Philosophy document. The company states that the feed is designed to spark creativity, foster connections, and maintain a safe user environment.

To achieve these goals, OpenAI says it prioritises creativity over passive consumption. The ranking is steered not simply for engagement, but to encourage active participation. Users can also influence what they see via steerable ranking controls.

Another guiding principle is putting users in control. For instance, parental settings let caretakers turn off feed personalisation or continuous scroll for teen accounts.

OpenAI also emphasises connection. The feed is biassed toward content from people you know or connect with, rather than purely global content, so the experience feels more communal.

In terms of safety and expression, OpenAI embeds guardrails at the content creation level. Because every post is generated within Sora, the system can block disallowed content before it appears.

The feed layers additional filtering, removing or deprioritising harmful or unsafe material (e.g. violent, sexual, hate, self-harm content). At the same time, the design aims not to over-censor, allowing space for genuine expression and experimentation.

On how the feed works, OpenAI says it considers signals like user activity (likes, comments, remixes), location data, ChatGPT history (unless turned off), engagement metrics, and author-level data (e.g. follower counts). Safety signals also weigh in to suppress or filter content flagged as inappropriate.

OpenAI describes the feed as a ‘living, breathing’ system. It expects to update and refine algorithms based on user behaviour and feedback while staying aligned with its founding principles.

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Microsoft evolves Sentinel into agentic defence platform

Microsoft is transforming Sentinel from a traditional SIEM into a unified defence platform for the agentic AI era. It now incorporates features such as a data lake, semantic graphs and a Model Context Protocol (MCP) server to enable intelligent agents to reason over security data.

Sentinel’s enhancements allow defenders to combine structured, semi-structured data into vectorised, graph-based relationships. With that, AI agents grounded in Security Copilot and custom tools can automate triage, correlate alerts, reason about attack paths, and initiate response actions, while keeping human oversight.

The platform supports extensibility through open agent APIs, enabling partners and organisations to deploy custom agents through the MCP server.

Microsoft also adds protections for AI agents, such as prompt-injection resilience, task adherence controls, PII guardrails, and identity controls for agent estates. The evolution aims to shift cybersecurity from reactive to predictive operations.

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