The field guide distils key linguistic and formatting traits commonly found in AI output, such as overblown symbolism, promotional tone, repetitive transitions, rule-of-three phrasing and editorial commentary that breaks Wikipedia’s standards.
The initiative stems from the community’s ongoing challenge against AI-generated content, which has grown enough to warrant the creation of a dedicated project named WikiProject AI Cleanup.
Volunteers have developed tools like speedy deletion policies to quickly remove suspicious entries and tagged over 500 articles for review.
While the guide aims to strengthen detection, editors caution that it should not be treated as a shortcut but should complement human judgement, oversight, and trusted community processes. Such layered scrutiny helps preserve Wikipedia’s reputation for reliability.
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The proprietary software firm Atlassian is entering the AI browser market with a $610 million deal to acquire The Browser Company of New York, creator of Arc and Dia. The move signals an attempt to turn browsers into intelligent assistants instead of leaving them as passive tools.
Traditional browsers are blank slates, forcing users to juggle tabs and applications without context. Arc and Dia promise a different approach by connecting tasks, offering in-line AI support, and adapting to user behaviour. Atlassian believes these features could transform productivity for knowledge workers.
Analysts note, however, that AI browsers are still experimental. While they offer potential to integrate workflows and reduce distractions, rivals like Chrome, Edge and Safari already dominate with established ecosystems and security features. Convincing users to change habits may prove difficult.
Industry observers suggest Atlassian’s move is more a long-term bet on natural language and agentic browsing than an immediate market shift. For now, AI browsers remain promising but unproven alternatives to conventional tools.
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Private backing for UK AI companies has reached £2.9 billion, with average deals of £5.9 million, driving record growth across the sector. Ministers say investment is spreading regionally, with the number of firms in the Midlands, Yorkshire, Wales, and the North West doubling in just three years.
At Mansion House, Technology Secretary Peter Kyle urged industry to cut red tape, expand data centres, and attract global talent. He emphasised that public trust, supported by AI assurance measures, is crucial for growth.
The assurance roadmap aims to add billions to the economy by creating a dedicated profession to review AI systems for safety, ethics, and accountability. Independent experts will be tasked with certifying systems, while a consortium of professional bodies develops a code of ethics to guide standards.
Further initiatives include £2.7m to boost regulator capacity and AI projects for Ofgem, the Civil Aviation Authority, and the Office for Nuclear Regulation, covering energy, aviation, and nuclear waste.
Officials say these measures will help position the UK as a world leader in AI innovation, while ensuring growth is matched with robust oversight and public confidence in the technology.
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A new study by the European Travel Commission shows that national tourism organisations (NTOs) are experimenting with AI but are facing gaps in strategy and skills.
Marketing teams are leading the way, applying AI in content generation and workflow streamlining, whereas research departments primarily view the tools as exploratory. Despite uneven readiness, most staff show enthusiasm, with little resistance reported.
The survey highlights challenges, including limited budgets, sparse training, and the absence of a clear roadmap. Early adopters report tangible productivity gains, but most NTOs are still running small pilots rather than embedding AI across operations.
Recommendations include ring-fencing time for structured experiments, offering role-specific upskilling, and scaling budgets aligned with results. The report also urges the creation of shared learning spaces and providing practical support to help organisations transition from testing to sustained adoption.
ETC President Miguel Sanz said AI offers clear opportunities for tourism boards, but uneven capacity means shared tools and targeted investment will be essential to ensure innovation benefits all members.
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According to people familiar with the plans, Chinese startup DeepSeek is developing an AI model with enhanced agent features to compete with US firms such as OpenAI.
The Hangzhou-based company intends for the system to perform multi-step tasks with limited input and adapt from its previous actions.
Founder Liang Wenfeng has urged his team to prepare the release before the end of 2025. The project follows DeepSeek’s earlier success with R1, a reasoning-focused model launched in January that attracted attention for its low development costs.
Since then, DeepSeek has delivered only incremental updates while rivals in China and the US have accelerated new product launches.
The shift towards AI agents reflects a broader industry move to develop tools capable of managing complex real-world tasks, from research to coding, with less reliance on users. OpenAI, Anthropic, Microsoft, and Manus AI have already introduced similar projects.
Most systems still require significant oversight, highlighting the challenges of building fully autonomous agents.
The cloud computing services offered by IBM will end free human support under its Basic Support tier in January 2026, opting for an AI-driven self-service model instead.
Users will lose the option to open or escalate technical cases through the portal or APIs. However, they can still report service issues via the Cloud Console and raise billing or account cases through the Support Portal.
IBM will direct customers to its Watsonx-powered AI Assistant, upgraded earlier in the year, while introducing a ‘Report an Issue’ tool to improve routing. The company plans to expand its support library to provide more detailed self-help resources.
Starting at $200 per month, paid support will remain available for organisations needing faster response times and direct technical assistance.
The company describes the change as an alignment with industry norms. AWS, Google Cloud and Microsoft Azure already provide free tiers that rely on community forums, online resources and billing support.
However, IBM Cloud holds only 2–4 percent of the market, according to Synergy Research Group, which some analysts suggest makes cost reductions in support more likely. Tencent, another provider, previously withdrew support for basic users because they were not profitable.
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Starbucks will deploy an AI-powered inventory system across all North American stores. Built with NomadGo, it automatically scans shelves using AR and computer vision to flag low stock.
Counts that once took an hour now take about 15 minutes, enabling up to eight counts weekly. The system frees staff to focus on service while providing real-time data for more intelligent supply chain decisions.
The rollout follows other digital upgrades, including a Shift Marketplace for scheduling, Green Dot Assist for AI support, and a new point-of-sale system. Together, these tools show Starbucks’ growing reliance on AI.
Competitors like McDonald’s and Chick-fil-A are also turning to AI for back-of-house operations. From accuracy scales to computer vision food checks, fast-food chains are betting heavily on automation to boost efficiency.
For Starbucks, success will be judged by fewer shortages, consistent customer experiences, and staff reinvested in service. AI-driven accuracy could become a defining advantage in an industry built on trust.
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The Federal Reserve Board will hold a conference on payments innovation on 21 October, focusing on emerging technologies in US payment systems. Regulators, academics, and industry participants will explore ways to enhance the safety, efficiency, and accessibility of payments.
Panel discussions will cover stablecoins, tokenised assets, AI in payments, and the convergence of traditional and decentralised finance. The event highlights how digital assets are increasingly viewed alongside conventional payment methods, reflecting their growing role in financial systems.
The conference will be livestreamed on the Fed’s website, with further details forthcoming.
Experts emphasise the need for clear, unified rules to enable tokenised credit and liquidity markets to scale without fragmentation. Artificial intelligence is also moving into the core of payments, with applications in fraud detection, credit assessment, and risk management.
The Fed’s event adds to a busy Q4 policy calendar, alongside initiatives from the SEC, CFTC, BIS, and MAS. Officials stress that innovation in payments is a constant, with new technologies complementing existing systems rather than replacing them.
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Hisense will debut AI-powered innovations at IFA 2025 under the theme ‘AI Your Life,’ showcasing entertainment, smart homes, and climate-friendly technologies. The company aims to make AI seamless and personal.
Entertainment highlights include the 116-inch RGB-MiniLED UX TV with 8,000 nits brightness, plus new laser projectors offering IMAX-level clarity and portability for home cinema and gaming.
Appliances get smarter with the PureFlat refrigerator, featuring a 21-inch screen for cooking, streaming, and AI art. ConnectLife agents will optimise chores and energy use in daily routines.
The U8 S Pro Air Conditioner brings presence detection, AI voice controls, and air purification, while Hisense expands into smart buildings, energy systems, and automotive climate solutions.
Combining advanced display technologies with next-gen appliances, Hisense says its innovations will empower people to live more freely and confidently across global markets.
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Language technology company Tilde has released an open AI framework designed for all European languages.
The model, named ‘TildeOpen’, was developed with the support of the European Commission and trained on the Lumi supercomputer in Finland.
According to Tilde’s head Artūrs Vasiļevskis, the project addresses a key gap in US-based AI systems, which often underperform for smaller European languages such as Latvian. By focusing on European linguistic diversity, the framework aims to provide better accessibility across the continent.
Vasiļevskis also suggested that Latvia has the potential to become an exporter of AI solutions. However, he acknowledged that development is at an early stage and that current applications remain relatively simple. The framework and user guidelines are freely accessible online.
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