News from November 2, 2025

619 articles found

NZ media on Ireland and Beirne red card: 'If you’re not expecting a ball-runner, what are you doing on the field, mate?'
Technology

NZ media on Ireland and Beirne red card: 'If you’re not expecting a ball-runner, what are you doing on the field, mate?'

He adds: "All Blacks played poorly for an hour and still beat Ireland - an intense rivalry is starting to fade." In the New Zealand Herald, Gregor Paul tempers enthusiasm for a promising All Blacks finish to the game with acknowledgement this was an Irish side far from the best they have encountered in recent times. "The All Blacks tapped into something powerful and compelling in the final quarter. The stilted and uncertain attack that plagued them for 55 minutes burst out of the cocoon – and suddenly the men in black were butterflies. But some words of caution are required as the Irish, the highest-ranked of the Home Unions the All Blacks will face on tour, looked a little frayed and devoid of energy and good ideas, and tougher challenges await in the UK." In Midi Olympique, Frederic Bernes didn't think much of either side. “Nine years after Ireland’s first victory against the All Blacks, the revenge match in Chicago on Saturday night went in favour of the New Zealanders (26-13), who nevertheless only dominated in the last 20 minutes. “In a way, this American rematch was less a clash between the world’s No 2 and 3 teams than a contest between two sides lacking confidence for several months. In a match that never reached any great heights, each team had its moment, but only one secured its revenge.” Liam Napier in The Herald maintained that theme. "The All Blacks were confident of clicking into gear against Ireland. But for a long time, they instead resembled a clunky, rusty car parked in the garage too long. "Ireland were well short of their best, too, but they did enough to feast on the All Blacks’ mistakes and lead for 60 minutes. "While elements of Ireland’s game were far from fluid, notably their misfiring lineout and playmaker Jack Crowley failing to take his chance, for 60-odd minutes the All Blacks lacked direction and accuracy." Of the game's controversial moment, the Herald's Winston Aldworth had little sympathy for Tadhg Beirne's red card, awarding him a rating of 1. "His technique in that hit on Beauden Barrett was terrible. The 20-minute sanction was a reasonable punishment. The defence that he wasn’t expecting the runner is lame. The whole idea of attacking in rugby is to catch defenders unaware and if you’re not expecting a ball-runner, what are you doing on the field, mate?" Though Aaron Goile in The Post accepted a red card was 'ridiculous'. "Despite the Irish copping an early (ridiculous) red card, Scott Robertson’s side did not lead until inside the final quarter, but their scrum and bench proved decisive in sealing a win that went some way to avenging the historic loss to the same opponents at the same venue nine years ago." As a sellout Chicago spectacle, meanwhile, Napier suggests the contest won't have done much to spread the rugby message Stateside, "As another 61,841 sold-out crowd at Soldier Field waited with anticipation, a 52-minute first half that featured long, unnecessary stoppages and frequent mistakes produced a painful, pedantically officiated, low-quality spectacle."

New rule: Saudi Arabia bans food trucks in residential areas
Technology

New rule: Saudi Arabia bans food trucks in residential areas

Dubai: Saudi Arabia’s Ministry of Municipalities and Housing has issued new regulations banning food trucks from operating inside residential neighbourhoods, part of broader efforts to enhance public safety and reduce traffic disruptions nationwide..Saudi Arabia bans tobacco shops near mosques and schools. The guidelines prohibit mobile food vendors from parking near traffic lights, road intersections, or entrances and exits of main and secondary roads. Trucks are also forbidden from operating in high-traffic areas or within 10 metres of fuel stations.Rules on noise and smokingTo preserve public order, the ministry has banned the use of loudspeakers and smoking inside food trucks.Authorities said the regulations aim to better organise the growing mobile food sector while ensuring the safety of pedestrians, motorists, and residents. Food truck operators are now required to comply with designated operating zones and obtain approved permits.The ministry encouraged businesses to adapt to the new rules, stressing that enforcement will be carried out in cooperation with local municipalities..Saudi Arabia sets new rules for commercial use of public sidewalks.Saudi Arabia sets municipal fines of up to SR2 million under new stricter penalty rules.Saudi Arabia tightens rules for transport rental offices to boost investment, urban quality.Ajman sets fines up to Dh20,000 for fuel trucks parked outside designated zones

Shah Rukh Khan 'can't meet fans outside Mannat on birthday'
In a land of many claims, Kerala seeks one vision: A comprehensive land use policy
Technology

In a land of many claims, Kerala seeks one vision: A comprehensive land use policy

In a land of many claims, Kerala seeks one vision: A comprehensive land use policy With coastal inundation, flooding, and landslides posing increasing threats, the proposed framework seeks to ensure that future land development in the state is sustainable, resilient, and scientifically informed. Synopsis: Amid mounting pressure from climate change, declining agricultural production, and unplanned infrastructure expansion, the Kerala government constituted a committee to draft a comprehensive Land Use Policy. Comprehensive spatial data on land use and cover play a crucial role in resource management, agriculture planning, and environmental protection. In a state where every inch of land is contested, Kerala’s fragmented and unscientific land-use pattern is fast turning into one of its biggest development bottlenecks. Rapid urbanisation is swallowing up fertile farmland, fragile ecologically sensitive zones are being pushed to the brink, and recurring disasters — from landslides to floods — are exposing the cracks in the state’s planning framework. Amid mounting pressure from climate change, declining agricultural production, and unplanned infrastructure expansion, the state government has finally constituted a committee to draft a comprehensive Land Use Policy. However, the question is, can the policy balance competing interests — urban growth, ecological conservation, and food security — while making communities safer from disasters? Also Read: Brain-eating amoeba — Kerala and ICMR launch study to trace infection State begins work on landmark Land Use Policy The state government has initiated the process of formulating a comprehensive Land Use Policy to address emerging environmental and developmental challenges. On 13 October, the Planning and Economic Affairs Department constituted a high-level committee chaired by Prof R Ramakumar, a member of the Kerala State Planning Board, with the Land Use Commissioner as convener. The panel includes representatives from 30 key departments and agencies spanning environment, agriculture, industries, infrastructure, and disaster management. While the demand for formulating such a policy has been present for some time, it’s said to have gained traction following the recommendations made in the Kerala State Action Plan on Climate Change 2023–2030. This document, released in 2022 by the Department of Environment and Climate Change, underscored the urgent need for a holistic review of land use in the face of changing climate patterns. It also pointed out that the state currently lacks an integrated spatial planning framework beyond statutory demarcations such as ESAs, CRZ, and wetlands. The document further called for the need to develop a high-resolution, GIS-based, spatio-temporal land use and land cover database to enable climate risk–informed zoning. According to it, this will guide optimal land allocation, consolidate fragmented land resources, and maximise ecosystem functions. With coastal inundation, flooding, and landslides posing increasing threats, the proposed framework seeks to ensure that future land development in the state is sustainable, resilient, and scientifically informed. Land: The cornerstone of sustainable development in Kerala Land is one of the most critical natural resources shaping the success of any region’s development. Its proper utilisation determines not only economic efficiency but also ecological balance. Land use refers to human activities on land — such as agriculture, housing, and industry — while land cover includes natural features like vegetation, water bodies, and soil. Understanding both is vital for effective planning and sustainable growth. In Kerala, land has been at the heart of transformative socio-economic changes. The state’s historic land reforms drastically altered landholding patterns, reshaping its agricultural landscape. Agriculture remains the dominant land use, accounting for about 50.8 percent of Kerala’s total geographical area of 38.86 lakh hectares in 2023–24. Forests occupy 27.8 percent, while non-agricultural uses have expanded to 15.7 percent — reflecting growing urbanisation and infrastructure development. Comprehensive spatial data on land use and cover play a crucial role in resource management, agriculture planning, and environmental protection. As the draft National Land Use Policy emphasises “Optimum Land Use Planning,” Kerala’s challenge lies in balancing agricultural productivity, forest conservation, and urban expansion. Wise and sustainable land management is thus essential for ensuring food security, ecological resilience, and long-term development. Why Kerala needs a new Land Use Policy? Kerala, with just 38.86 lakh hectares of total geographical area, stands at a critical juncture. The pressures of rapid urbanisation, climate change, population density, and competing land demands from agriculture, industry, housing, and conservation have created an urgent need to rethink how the state uses its most limited resource — land. The existing land use framework, still anchored in laws like the Kerala Land Utilisation Order (1967), is inadequate to address the state’s evolving realities. With fragmented governance and outdated classifications, Kerala needs a comprehensive, data-driven, and climate-resilient land use policy to ensure sustainability, equity, and growth. Also Read: Row over PM-SHRI — Why Kerala didn’t go to court against Modi government Climate challenge: fragile terrains and rising risks Kerala’s unique topography — from the Western Ghats to the coastal plains — makes it one of the most climate-vulnerable states in India. According to the State Action Plan on Climate Change, unplanned land use has amplified hazards such as floods, landslides, and coastal erosion. The 2018 floods, which devastated 13 districts, exposed the dangers of encroachments on wetlands and paddy lands. Sea-level rise of 3.7 mm per year since 2006 and projected warming of 1–2°C by 2050 threaten coastal ecosystems and agriculture. Yet, the absence of hazard-based zoning means nearly 15.7 percent of Kerala’s land in flood-prone zones remains vulnerable to development. Soil erosion, reservoir siltation (up to 48% capacity loss), and biodiversity loss in ecosystems such as mangroves and shola-grasslands highlight the urgency for zoning-based land regulation integrated with climate adaptation strategies. Shifting land use patterns: Agriculture in decline Kerala’s land use pattern, as detailed in the Economic Review 2024, reveals a steady decline in agricultural land. Once spread over 8,02,000 hectares in 1980–81, paddy cultivation has shrunk to just 1,91,000 hectares in 2019–20. This decline, driven by urban expansion, labour shortages, and low returns, has led to food insecurity in a state that now produces only one-third of its rice requirement. Simultaneously, non-agricultural land use has surged to 15.7 percent, threatening the livelihood of nearly half the workforce engaged in the primary sector. Cash crops such as coconut (760,770 ha) and rubber (551,030 ha) dominate but face yield drops due to pests and climate variability. The SAPCC notes that Kerala’s current framework lacks agro-ecological zoning, essential for optimising land use and ensuring sustainability. Governance gaps: The need for legal and digital integration Kerala’s land governance is fragmented across over ten separate laws, leading to overlaps, disputes, and corruption. The state’s Vision 2031 seeks to correct this through two landmark initiatives: A Unified Land Use Code – to consolidate all land-related laws into a single, coherent legal framework. This dynamic, technology-driven system will enable real-time land management, climate-proofing, and transparent decision-making. A State Land Bank – a centralised digital repository of all government-owned but unused land. It will integrate lands recovered from encroachments, unclaimed properties, and tax arrears, making them available for public use and sustainable investments. “The unified land use code will not be just another legal document,” said Revenue Minister K Rajan recently. “It will be a living, responsive system, designed to minimise disputes and promote investment,” he added. By 2031, Kerala aims to become a state free of land disputes, powered by digital mapping, high-resolution GIS, and cross-sectoral coordination. Socio-economic pressures and the equity imperative Kerala’s urban population nearly doubled from 25.9 percent in 2001 to 47.7 percent in 2011 — and is projected to reach 80 percent by 2050. This rapid urbanisation, coupled with inward and outward migration, has fragmented landholdings (average size now 0.18 hectares) and deepened inequality. Marginal farmers, tribal communities, and coastal fisherfolk — already among the most vulnerable — face rising displacement and resource scarcity. SAPCC 2.0 identifies nine highly vulnerable districts, including Palakkad (agriculture) and Kollam (forests), where poverty, low irrigation (only 392,000 ha), and poor infrastructure amplify risk. These socio-economic realities call for inclusive and equitable land management, ensuring development without marginalising vulnerable communities. Also Read: Landslide in Adimali; locals blame NHAI’s unscientific works From feudalism to reform – and now, to renewal Kerala’s land story began with revolutionary reforms. The Kerala Land Reforms Act (1969), evolving from EMS Namboodiripad’s 1957 vision, dismantled feudal ownership, imposed ceilings, and redistributed land to the landless. Complemented by the Kerala Land Utilisation Order (1967), it mandated paddy cultivation and regulated conversions. While these measures ensured social justice, they also caused land fragmentation and limited flexibility in the modern economy. The Kerala Conservation of Paddy Land and Wetland Act (2008) added ecological safeguards but faced criticism for restricting development. Now, as Kerala approaches its 75th anniversary in 2031, the state is preparing for another landmark shift — one that blends its legacy of equity with modern sustainability. Toward a sustainable, investment-friendly Kerala The proposed Land Use Policy, backed by digital integration, environmental safeguards, and cross-sectoral governance, aims to make Kerala sustainable, resilient, and investment-ready. By linking land management with climate resilience, urban planning, and food security, Kerala seeks to build a future where growth doesn’t come at the cost of ecology or equity. If the land reforms of the 20th century gave land to the tiller, the land use reforms of the 21st century must give sustainability to the state. (Edited by Muhammed Fazil.)

Navy 'wolf pack' drone boats in warship trial success
See the top Nigerian banks with highest fraud cases in 2025
Technology

See the top Nigerian banks with highest fraud cases in 2025

Access Bank, Nigeria’s biggest bank by assets has reported N1.64 billion loss to fraud in the first half of 2025The bank’s parent company Access Holdings, disclosed this in its financial report for the review periodExperts say the bank’s report shows how fast financial fraud is evolving despite billions spent on technologies by financial institutions Pascal Oparada is a journalist with Legit.ng, covering technology, energy, stocks, investment, and the economy for over a decade. Access Bank, Nigeria’s largest financial institution by assets, has recorded a staggering ₦1.64 billion ($1.13 million) loss to fraud in the first half of 2025, a sharp 254.02 percent surge from ₦464.12 million ($320,478) a year earlier. The revelation, contained in the latest financial report from its parent company, Access Holdings, underscores how rapidly evolving fraud tactics continue to challenge even the country’s most technologically advanced banks. Forged documents, false transfers behind the surge According to the report, a significant portion of the losses stemmed from forged instruments, which alone cost the bank ₦831.96 million ($574,475). Fraudulent transfers, unauthorized withdrawals, and account reactivations added another ₦617.11 million ($426,119) to the losses. In total, Access Bank faced ₦2.25 billion worth of attempted fraudulent transactions in H1 2025, with nearly three-quarters resulting in actual financial damage. Though the bank has not commented publicly on the report, the incident represents its worst half-year performance since June 2023, when it lost ₦5.46 billion to similar scams. Fraud cases rising despite lower frequency While the frequency of fraud cases dipped to 1,289 incidents in June 2025, down from 2,823 in 2023, the monetary value of each attack has grown significantly. According to a report by TechCabal, the pattern highlights a disturbing shift from frequent, low-value frauds to fewer but high-impact heists. Despite the massive losses, the amount still represents just 0.76 percent of Access Bank’s ₦215.92 billion ($149.09 million) profit for the first half of 2025. Yet, experts warn that the rise in high-value frauds poses a growing systemic risk to the entire banking industry. Between 2019 and 2023, Nigerian bank customers collectively lost ₦59.33 billion ($40.97 million) to financial fraud, with more than 80,000 victims in 2023 alone. Banks invest more in tech Ironically, the rise in digital fraud comes amid record tech investments by Nigerian banks. Access Bank alone increased its technology spending by 147.94 percent to ₦193.52 billion in 2024 and has already invested ₦69.45 billion this year. Despite these upgrades, cybercriminals continue to outpace traditional defenses. Some banks, however, are making progress, United Bank for Africa (UBA) reduced its fraud losses by 45.35 percent to ₦288 million in H1 2025, while GTBank reported ₦225.42 million, up 41.67 percent due to a prior-year settlement with AXA Mansard. FITC warns: Fraud is becoming smarter The Financial Institutions Training Centre (FITC), which tracks fraud across Nigeria’s banking sector, reported a staggering 602.98 percent jump in industry-wide fraud losses to ₦3.29 billion in Q1 2025. The number of reported cases also climbed 7.63 percent to 12,347, with only 63 involving bank staff and the vast majority perpetrated by external actors. FITC identified online and mobile platforms as the most exploited channels — with 7,361 cases on web platforms, 2,875 via mobile, and 1,559 through PoS terminals. “In 2025, fraud has evolved from being a volume issue to a value game,” FITC said. “To stay ahead, banks must think proactively, collaborate closely, and empower customers with awareness and digital literacy.” A wake-up call for the financial sector As Access Bank battles the fallout from its ₦1.64 billion loss, experts warn that the wave of targeted, high-value cyberattacks signals a dangerous trend. Nigeria’s financial institutions, they say, must move beyond reactive measures and embrace intelligence-led, adaptive strategies to protect both profits and people. Fraud is no longer just a crime of opportunity, it’s a high-stakes game of innovation. Scammers hack Nigerian bank, ateal N10 billion Legit.ng earlier reported that the Federal High Court in Abuja has ordered an additional 30-day freezing of 818 bank accounts suspected of being involved in the alleged proceeds of crime from an N10 billion cyberattack on Hope Payment Service Bank. The order, which the Inspector General of Police authorises, was granted by the court presided over by Justice James Omotosho on Monday, October 15, 2024. The court relied on a motion ex parte filed by the police. According to the motion marked FHC/ABJ/CS/1358/2024, filed against James Akagwu Isaac, Akwubo Gosent, and others, including several banks, the IGP’s legal team said that the accounts via which the defendants were alleged to have received the crime proceeds were under investigation, hence the freeze. Source: Legit.ng

Show HN: Anki-LLM – Bulk process and generate Anki flashcards with LLMs
Technology

Show HN: Anki-LLM – Bulk process and generate Anki flashcards with LLMs

A CLI toolkit for bulk-processing and generating Anki flashcards with LLMs. Bulk-verify translations – End-to-end pipeline for cleaning large decks. Add a Key Vocabulary field – Create a per-note field highlighting 1–3 key words with readings, meanings, and HTML context. Generate new cards – Interactively create multiple contextual flashcards for a vocabulary word or concept from a single command. Scriptable collection access – Query AnkiConnect directly from the CLI or AI agents. Command reference Manually editing hundreds or thousands of Anki cards is tedious, error-prone, and time-consuming. Whether it's verifying translations, adding grammar notes, or generating contextual examples, doing it by hand doesn't scale. anki-llm provides a bridge between your Anki collection and modern AI models. Batch processing File-based: Export deck to file, process with LLM, import results back to Anki. Direct: Process and update notes in-place. Card generation Generate multiple contextual flashcard examples for a term, review interactively, and add selected cards to your deck. Batch processing workflows: File-based (with resume) or direct-to-Anki (one Export Anki decks to clean CSV or YAML files. Batch process note fields using OpenAI or Google Gemini models. Custom prompts: Use flexible template files to define exactly how the LLM should process your cards. Concurrent processing: Make multiple parallel API requests to speed up large jobs. Resilient: Automatically retries failed requests and saves progress incrementally (file mode). Automatic resume: Pick up where you left off if processing is interrupted (file mode). Copy mode: Alternatively, generate cards without API keys by pasting LLM responses from browser interfaces (ChatGPT, Claude, etc.). Install globally via npm: Node.js (v18 or higher) Anki Desktop must be running. The AnkiConnect add-on must be installed in Anki. anki-llm uses LLM APIs to process your notes. You need to configure an API key for the model provider you want to use. The tool supports two API providers: Pricing is per million tokens (M). Check the latest prices on the provider's website to be sure. Set the appropriate environment variable for your chosen model provider: For OpenAI models: Get your API key from: https://platform.openai.com/api-keys For Gemini models: Get your API key from: https://aistudio.google.com/api-keys Use anki-llm config to store defaults (for example, the model) so you don't have to repeat flags on every command. Config file lives at ~/.config/anki-llm/config.json. export - Export deck to file import - Import data to deck process-file - Process notes from file with AI process-deck - Process notes from deck with AI generate-init - Create prompt template for generate generate - Generate new cards for a term query - Query AnkiConnect API Exports notes from an Anki deck. : The name of the Anki deck to export (must be in quotes if it contains spaces). [output]: Optional output file path. If omitted, automatically generates a filename from the deck name (e.g., "My Deck" → my-deck.yaml). You can also provide just a file extension (e.g., .csv) to auto-generate the filename with your preferred format. Imports data from a file into an Anki deck. Existing notes (matched by key field) are updated, while new entries create new notes. : Path to the data file to import (CSV or YAML). Required options: -d, --deck: The name of the target Anki deck. Common options: -n, --note-type: The Anki note type to use when creating new notes. If not specified, it will be inferred from existing notes in the deck. -k, --key-field: Field to use for identifying existing notes. If not specified, auto-detects using this priority: (1) noteId column if present, (2) first field of the note type, (3) error if neither found. Batch-process notes from a CSV/YAML file using an LLM and user-defined prompts. This command saves the transformed results to an output file and features automatic resume, allowing it to safely skip completed notes if interrupted or : Input file path (CSV or YAML). Required options: -o, --output: Output file path (CSV or YAML). -p, --prompt: Path to the prompt template text file. Either --field or --json (mutually exclusive): --field : Update a single field with the AI response. --json: Expect JSON response and merge all fields into the note. See Understanding --field vs --json modes for more details. Common options: -m, --model: AI model to use (required unless set via config set model). -b, --batch-size: Number of concurrent API requests (default: 5). -r, --retries: Number of retries for failed requests (default: 3). -d, --dry-run: Preview the operation without making API calls (recommended for testing). -f, --force: Re-process all rows, ignoring existing output. --limit: Limit the number of new rows to process (useful for testing prompts on a small sample before processing large datasets). --require-result-tag: Only extracts content from within tags in the AI response. --log: Generate a log file with detailed debug information. --very-verbose: Log full LLM responses to the log file (automatically enables --log). Useful for debugging prompts and understanding model Export deck to file: anki-llm export "My Deck" notes.yaml Process file: anki-llm process-file notes.yaml -o output.yaml --field Translation -p prompt.txt -m gpt-4o-mini Import results: anki-llm import output.yaml -d "My Deck" Key features: ✅ Automatic resume: Skips already-processed notes ✅ Incremental saves: Progress saved continuously ✅ Review before import: You can inspect/edit the output file before When to use this command: This command provides a file-based workflow for batch processing notes. It is the primary alternative to the process-deck command, which modifies notes directly in your Anki collection. Use process-file instead of process-deck when you: Require a manual review step. The command outputs to a file, creating a safe staging area to inspect results before you commit them to your Anki deck. Need to process a large number of notes where interruptions are possible. Its resume capability ensures you don't lose progress if the process fails midway. Are operating in an environment without a running Anki instance. This command is fully self-contained and does not need to connect to the Anki application. Batch-process notes directly from an Anki deck using an LLM and user-defined prompts, updating them in-place. No intermediate files needed. This is faster and more convenient when you've tested your prompt and know the end result is safe to run. : Name of the Anki deck to process (must be in quotes if it contains Required options: -p, --prompt: Path to the prompt template text file. Either --field or --json (mutually exclusive): --field : Update a single field with the AI response. --json: Expect JSON response and merge all fields into the note. See Understanding --field vs --json modes for more details. Common options: -m, --model: AI model to use (required unless set via config set model). -b, --batch-size: Number of concurrent API requests (default: 5). -r, --retries: Number of retries for failed requests (default: 3). -d, --dry-run: Preview the operation without making API calls (recommended for testing). --limit: Limit the number of notes to process (useful for testing prompts on a small sample before processing entire deck). --require-result-tag: Only extracts content from within tags in the AI response. --log: Generate a log file with detailed debug information. --very-verbose: Log full LLM responses to the log file (automatically enables --log). Useful for debugging prompts and understanding model Prerequisites: Anki Desktop must be running AnkiConnect add-on must be installed Single command: anki-llm process-deck "My Deck" --field Translation -p prompt.txt -m gpt-4o-mini Key features: ✅ No intermediate files: Process and update in one step ✅ Batch updates: Efficient bulk updates to Anki ✅ Error logging: Failed notes logged to [deck-name]-errors.jsonl ❌ No resume support: Must complete in one run (use process-file for large datasets) Both process-file and process-deck support two response formats for the LLM: --field mode (single field update): The LLM response is saved to the specified field. anki-llm process-file notes.yaml -o out.yaml -p prompt.txt --field Translation --json mode (multi-field merge): The LLM must return valid JSON. All fields in the JSON are merged into your note. anki-llm process-file notes.yaml -o out.yaml -p prompt.txt --json Example: If your note has Japanese and Grammar fields, and the LLM "Japanese": "こんにちは", "Grammar": "greeting" Both fields will be updated. Only fields present in the JSON are updated (partial updates are allowed). If the response is not valid JSON, the operation will fail and retry. Interactively creates a prompt template file for the generate command. The wizard guides you through selecting a deck and note type, then uses an LLM to analyze your existing cards and generate a tailored prompt that matches your deck's style and formatting. This is the recommended way to get started with card generation. [output]: Optional output file path. If omitted, automatically generates a filename from the deck name. Common options: -m, --model: The LLM model to use for the smart prompt generation step (e.g., gemini-2.5-pro). -t, --temperature: Temperature for LLM generation (0.0-2.0, default varies by model). Lower values produce more consistent output. --copy: Copy the LLM prompt to clipboard and wait for manual response pasting. Useful when you don't have API access and want to use a browser LLM interface like ChatGPT. Run the wizard: anki-llm generate-init Follow the interactive steps to select a deck and note type. A prompt file (e.g., my-deck-prompt.md) is created for you. Review and customize the generated prompt file. Use the file with the generate command: anki-llm generate "term" -p my-deck-prompt.md Generates multiple new Anki card examples for a given term, lets you review and select which ones to keep, and adds them directly to your deck. : The word or phrase to generate cards for (must be in quotes if it contains spaces). Required options: -p, --prompt: Path to the prompt template file (created with generate-init). Common options: -c, --count: Number of card examples to generate (default: 3). -m, --model: AI model to use (defaults to gpt-5-mini or gemini-2.5-flash depending on your API key; can also be set via config set model). -d, --dry-run: Display generated cards without starting the interactive selection or import process. -r, --retries: Number of retries for failed requests (default: 3). -t, --temperature: LLM temperature, a value between 0 and 2 that controls creativity (default: 1.0). --max-tokens: Set a maximum number of tokens for the LLM response. -o, --output: Export cards to a file instead of importing to Anki (e.g., cards.yaml, cards.csv). --log: Enable logging of LLM responses to a file (useful for debugging). --copy: Copy the LLM prompt to clipboard and wait for manual response pasting. Useful when you don't have API access and want to use a browser LLM interface like ChatGPT. The --prompt file is a text or markdown file that contains two parts: YAML frontmatter for configuration and a prompt body with instructions for the LLM. Frontmatter (Required) The frontmatter is a YAML block at the top of the file enclosed by ---. deck: The target Anki deck name. noteType: The name of the Anki note type (model) to use. fieldMap: Maps the keys from the LLM's JSON output to your actual Anki field names. The LLM will be instructed to generate JSON with the keys on the left, and anki-llm will use them to populate the Anki fields on the right. Prompt Body The body contains your instructions for the LLM. It must: Include the {term} placeholder, which will be replaced by the you provide on the command line. Include the {count} placeholder, which will be replaced by the number of cards requested. Instruct the LLM to return a JSON array of objects, where each object represents one card and uses the keys defined in fieldMap. Include a "one-shot" example showing the exact JSON array structure and desired formatting (e.g., HTML for bolding or lists). Encourage the LLM to generate diverse cards that highlight different nuances, contexts, or usage examples of the term. Example Prompt File (japanese-vocab-prompt.md) The --copy flag allows you to generate cards without API keys by manually copying prompts to a browser-based LLM interface (like ChatGPT, Claude, Gemini, etc.) and pasting responses back. Run the command with --copy: anki-llm generate "今日" -p prompt.md --copy The program automatically copies the LLM prompt to your clipboard. Paste the prompt into your preferred LLM interface (ChatGPT, Claude, etc.). Copy the complete JSON response from the LLM. Paste it into the terminal. Type END on a new line and press Enter to submit. The program validates and processes your cards normally. No API key required Use any LLM interface you prefer Works with free-tier LLM services Full control over the LLM interaction Key features: ✅ Interactive selection: Review and choose which generated cards to keep. ✅ Duplicate detection: Automatically flags cards that may already exist in your deck. ✅ Export option: Save generated cards to YAML/CSV for review before ✅ Highly customizable: Full control over card generation via the prompt Query the AnkiConnect API directly with any supported action. This command is especially useful for AI agents (like Claude Code) to explore and interact with your Anki collection programmatically. : The AnkiConnect API action to perform (e.g., deckNames, findNotes, cardsInfo). [params]: Optional JSON string of parameters for the action. Why this is useful for AI agents: AI assistants can use this command to dynamically query your Anki collection without you having to manually provide information. For example: "List all my decks" → anki-llm query deckNames "Show me statistics for my Japanese deck" → anki-llm query getDeckStats '{"decks":["Japanese"]}' "Find all cards with tag 'vocabulary'" → anki-llm query findNotes '{"query":"tag:vocabulary"}' The command outputs clean JSON that AI agents can parse and reason about, making it easy to build custom workflows or answer questions about your Anki collection. Example: Sampling random cards from decks AI agents can use anki-llm query to discover information about your collection and then take action. Here's an example of Claude Code using the query command to sample random cards from multiple decks. Given the instruction: "Use anki-llm to pick random cards from Glossika decks, and print the English and Japanese fields for each, pick 10 cards from each deck, and save to a markdown file" This demonstrates how the query command enables AI agents to build custom scripts for data analysis and extraction tasks autonomously. Special actions: docs or help: Returns the complete AnkiConnect API documentation. This is especially useful for AI agents that need to understand what actions are available and how to use them. The agent can query this once to get the full documentation and then use that context to make informed decisions about which API calls to make. See ANKI_CONNECT.md for the complete list of available actions and their parameters. Let's say you have an Anki deck named "Japanese Core 1k" with 1000 notes. Each note has a Japanese field with a sentence and a Translation field with an English translation that you suspect is inaccurate. We'll use anki-llm and GPT-4o mini to generate better translations for all 1000 notes. First, export the notes from your Anki deck into a YAML file. YAML is great for multiline text fields and for using git diff to see what has changed after processing is complete. This command will connect to Anki, find all notes in that deck, and save them to a YAML file. The notes.yaml file will look something like this: Next, create a prompt file (prompt-ja-en.txt) to instruct the AI. Use {field_name} syntax for variables that will be replaced with data from each note. We want to process the Japanese field. File: prompt-ja-en.txt Now, run the process-file command. We'll tell it to use our notes.yaml file as input, write to a new notes-translated.yaml file, process the Translation field, and use our prompt template. The tool will read the Japanese field from each note to fill the prompt, then the AI's response will overwrite the Translation field. notes.yaml: The input file. --output notes-translated.yaml: The output file. --field Translation: The field we want the AI to generate and place its result into. --prompt prompt-ja-en.txt: Our instruction template. --model gemini-2.5-flash: The AI model to use. --batch-size 10: Process 10 notes concurrently for speed. --require-result-tag: Ensures the tool only saves the content inside the tag, ignoring the AI's analysis. You will see real-time progress as it processes the notes: The final step is to import the newly generated translations back into Anki. The tool uses the noteId to find and update the existing notes. notes-translated.yaml: The file with our improved translations. --deck "Japanese Core 1k": The destination deck. The model type will be automatically inferred from the existing notes in the deck. You can also explicitly specify it with --model "Japanese Model" if That's it! All 1000 notes in your Anki deck have now been updated with high-quality translations. Sentence flashcards often benefit from a focused vocabulary breakdown. You can use anki-llm to populate a dedicated Key Vocabulary field with structured HTML that spotlights the most important words in each sentence. Create a prompt that instructs the model to reason about the sentence, pick the top 1–3 items, and return clean HTML. This example assumes your notes have Japanese and English fields. You can start from the full prompt example in examples/key_vocabulary.md. File: prompt-key-vocab.txt Process your exported notes and overwrite the Key Vocabulary field with the HTML generated by the prompt: --field "Key Vocabulary": Updates that specific field on each note. --require-result-tag: Keeps only the HTML between tags and drops the analysis from the prompt. When you open the processed YAML/CSV, the generated field will look like this: After verifying the results, import the updated file back into Anki to add the structured vocabulary explanations to your cards. Let's create several new example flashcards for the Japanese word 会議 (meeting) and add them to our "Japanese::Vocabulary" deck. First, run the generate-init wizard. It will ask you to select your deck and note type, then use an LLM to analyze your existing cards and generate a prompt file tailored to your collection. Follow the interactive prompts. The wizard will use an AI model (defaults to gpt-5 or gemini-2.5-flash depending on your API key) to analyze existing cards in your deck and create a smart prompt that matches their style and formatting. When it's done, it will save a new file, for example japanese-vocabulary-prompt.md. The generated file will look something like this: File: japanese-vocabulary-prompt.md You can now edit this file to further refine the instructions for the AI. Now, use the generate command with your new prompt file to create card examples for 会議. The tool will make a single API call asking the LLM to generate 3 distinct cards and show progress: After generation, an interactive checklist appears in your terminal. You can use the arrow keys and spacebar to select the cards you want to add to Anki. Here, we see three options. Card 3 has been flagged as a potential duplicate because a similar card already exists in the deck. Let's select the first two cards and press Enter. The selected cards are immediately added to your Anki deck. That's it! You have successfully generated, reviewed, and imported multiple high-quality, contextual Anki cards from a single command. Use tsx to run the CLI directly from TypeScript source without rebuilding: Use pnpm link to test the command globally: Note: The linked command uses compiled JavaScript from dist/. Run pnpm run build after making changes to see them reflected. To unlink: pnpm unlink --global

US rejects B1/B2 visa for Indian techie earning ₹10 million in under a minute
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US rejects B1/B2 visa for Indian techie earning ₹10 million in under a minute

An Indian tech professional’s plan to attend a major industry conference in the United States came to an abrupt halt after his B1/B2 visa request was rejected at the US Embassy in New Delhi. He shared his experience on Reddit, sparking widespread discussion among IT community members..Why UAE travellers get rejected for US B1/B2 visas — and how to avoid it. Quick interview, faster denialThe applicant, a senior technical lead specialising in Cloud Native platforms, revealed that the visa denial occurred in less than a minute, after only three questions.“I had my B1/B2 visa interview at the US Embassy today in Delhi, and I was rejected in less than a minute after just three questions. I’m trying to understand what went wrong and how I can improve for next time,” he wrote.During the brief interview, the officer asked about his reason for travel, prior international trips, and whether he had any contacts in the US. He explained that he intended to attend KubeCon + CloudNativeCon 2025 in Atlanta, Georgia, which he described as essential for staying updated in his field..'Welcome Home Bhai': US techie flaunts 5-year India visa, praises Modi, mocks Trump. Previous travel and family tiesThe applicant mentioned previous travel to Lithuania, the Maldives, and Indonesia, and confirmed he had no family or friends in the US. He was issued a 214(b) refusal slip, a common category linked to failure to demonstrate strong ties to the home country.He expressed surprise, noting his stable job in India for 11 years, an annual salary of close to ₹10 million, and an eight-month-old daughter, which he believed strongly tied him to returning to India.“I had very strong motivations to come back,” he wrote..US, Schengen visa applications in UAE: How to avoid getting duped by fake agents, 'guaranteed approval' scams. Travel plans already madeThe tech professional had booked flights and accommodation for the Atlanta event, which was not available for live streaming.“I had planned everything to attend it in person,” he said.He asked the Reddit community for advice on improving his chances before reapplying, citing the abrupt denial despite his professional and personal background. The claims, however, could not be independently verified.US visa rules and 214(b) clauseThe US Department of State emphasises that a visa is a privilege, not a right, and approval depends on the officer’s assessment. Under Section 214(b), a visa may be denied if the applicant fails to demonstrate strong ties to their home country or if there are discrepancies in information.Even minor perceived lapses or inconsistencies can result in a denial, illustrating the subjective nature of visa assessments..H-1B chaos? China’s new K visa could be your next move: Who can apply?.US H-1B visa changes spark global shift: IT Talent eyes new horizons - Y-Axis.O-1 Einstein visa vs H-1B visa: What's the difference?.H-1B visa cost increases $100K: 8 alternative US temporary work visas

First Details of Albion Online's Faction Warfare Revamp Shared In New Video
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First Details of Albion Online's Faction Warfare Revamp Shared In New Video

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contentSave and communicate privacy choicesFeatures:Identify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersBrowsing and interaction dataUser-provided dataNon-precise location dataUsers’ profilesPrivacy choicesData Retention Period:365 daysYour Consent:Consent expiry: 1 yearCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://www.gravite.net/data-privacyLegitimate Interest: https://www.gravite.net/data-privacyPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesPurposes (Legitimate Interest):Measure advertising performanceDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Match and combine data from other data sourcesLink different devicesIdentify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataActively scan device characteristics for identificationCategories of data:Device characteristicsDevice identifiersBrowsing and interaction dataPrecise location dataData Retention Period:4320 daysYour Consent:Tracking method: Cookies and othersShow details Privacy policy: https://www.addefend.com/en/privacy-policy/Legitimate Interest: https://www.addefend.com/en/privacy-policy/Purposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingMeasure advertising performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Identify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsProbabilistic identifiersData Retention Period:30 daysYour Consent:Consent expiry: 30 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Adelaide Metrics IncPrivacy policy: https://adelaidemetrics.com/privacyLegitimate Interest: https://adelaidemetrics.com/privacyPurposes (Legitimate Interest):Measure advertising performanceMeasure content performanceDevelop and improve servicesFeatures:Match and combine data from other data sourcesCategories of data:Device characteristicsBrowsing and interaction dataYour Consent:Tracking method: Cookies onlyShow details Privacy policy: http://adelement.com/privacy-policy.htmlLegitimate Interest: https://adelement.com/privacy-policy.html#legal-basis-processingPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertising (Data Retention Period: 90 days)Use profiles to select personalised advertising (Data Retention Period: 90 days)Measure advertising performanceUnderstand audiences through statistics or combinations of data from different sources (Data Retention Period: 90 days)Develop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choices (Data Retention Period: 90 days)Features:Link different devicesIdentify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataCategories of data:IP addressesDevice characteristicsDevice identifiersBrowsing and interaction dataUser-provided dataNon-precise location dataPrecise location dataUsers’ profilesPrivacy choicesData Retention Period:180 daysYour Consent:Consent expiry: 1 yearCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Aderize, Inc.Privacy policy: https://aderserve.com/privacy_policy.htmlLegitimate Interest: https://aderserve.com/privacy_policy.htmlPurposes (Legitimate Interest):Use limited data to select advertisingMeasure advertising performanceDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentCategories of data:Browsing and interaction dataNon-precise location dataData Retention Period:365 daysYour Consent:Tracking method: Cookies onlyShow details Privacy policy: https://virtualminds.com/platform-privacy-policy/Legitimate Interest: https://virtualminds.com/platform-privacy-policy/Purposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesUse limited data to select contentSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Match and combine data from other data sourcesLink different devicesIdentify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersBrowsing and interaction dataUser-provided dataNon-precise location dataUsers’ profilesPrivacy choicesData Retention Period:90 daysYour Consent:Consent expiry: 90 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://www.adfixus.com/platform-privacy-policyPurposes (Consent):Store and/or access information on a deviceMeasure advertising performanceCategories of data:Device identifiersYour Consent:Consent expiry: 1 yearCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://api.adftech.com.br/privacyLegitimate Interest: https://api.adftech.com.br/legitimatePurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingMeasure advertising performance (Data Retention Period: 30 days)Measure content performance (Data Retention Period: 30 days)Understand audiences through statistics or combinations of data from different sources (Data Retention Period: 30 days)Develop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Identify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataCategories of data:IP addressesProbabilistic identifiersBrowsing and interaction dataNon-precise location dataPrivacy choicesData Retention Period:365 daysYour Consent:Consent expiry: 1 dayTracking method: Cookies onlyShow details Privacy policy: https://site.adform.com/privacy-center/platform-privacy/product-and-services-privacy-policy/Legitimate Interest: https://site.adform.com/privacy-center/platform-privacy/transparency-and-consent-framework-tcf-compliance/legitimate-interest-at-stake/Purposes (Consent):Store and/or access information on a deviceCreate profiles for personalised advertisingUse profiles to select personalised advertisingPurposes (Legitimate Interest):Use limited data to select advertisingMeasure advertising performanceDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Match and combine data from other data sourcesLink different devicesIdentify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersAuthentication-derived identifiersBrowsing and interaction dataUser-provided dataNon-precise location dataUsers’ profilesPrivacy choicesData Retention Period:60 daysYour Consent:Consent expiry: 10 yearsCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://adhese.eu/privacy-policy/Legitimate Interest: https://adhese.eu/privacy-policy/Purposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingUse profiles to select personalised advertisingUse profiles to select personalised contentMeasure advertising performanceUnderstand audiences through statistics or combinations of data from different sourcesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Match and combine data from other data sourcesLink different devicesSpecial Features:Use precise geolocation dataCategories of data:IP addressesDevice characteristicsAuthentication-derived identifiersUser-provided dataNon-precise location dataPrecise location dataUsers’ profilesPrivacy choicesData Retention Period:30 daysYour Consent:Consent expiry: 30 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Privacy policy: https://www.adikteev.com/privacyLegitimate Interest: https://www.adikteev.com/privacy-policy-app-usersPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesUse limited data to select contentPurposes (Legitimate Interest):Measure advertising performanceMeasure content performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Link different devicesCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersAuthentication-derived identifiersNon-precise location dataUsers’ profilesData Retention Period:730 daysYour Consent:Tracking method: Cookies and othersShow details Privacy policy: https://www.adinmo.com/privacy-policy/Legitimate Interest: https://www.adinmo.com/privacy-policy/Purposes (Consent):Store and/or access information on a deviceCreate profiles for personalised advertising (Data Retention Period: 90 days)Use profiles to select personalised advertising (Data Retention Period: 90 days)Purposes (Legitimate Interest):Use limited data to select advertisingMeasure advertising performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and content (Data Retention Period: 90 days)Save and communicate privacy choices (Data Retention Period: 90 days)Features:Match and combine data from other data sourcesIdentify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersPrivacy choicesData Retention Period:365 daysYour Consent:Tracking method: Cookies and othersShow details Privacy policy: https://virtualminds.com/platform-privacy-policy/Legitimate Interest: https://virtualminds.com/platform-privacy-policy/Purposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingMeasure advertising performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Match and combine data from other data sourcesLink different devicesIdentify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersBrowsing and interaction dataUser-provided dataNon-precise location dataPrecise location dataUsers’ profilesPrivacy choicesData Retention Period:90 daysYour Consent:Consent expiry: 90 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://www.aditude.com/privacyLegitimate Interest: https://www.aditude.com/privacyPurposes (Consent):Store and/or access information on a deviceCreate profiles for personalised advertisingUse profiles to select personalised advertisingPurposes (Legitimate Interest):Use limited data to select advertisingMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentFeatures:Match and combine data from other data sourcesIdentify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersBrowsing and interaction dataUser-provided dataNon-precise location dataUsers’ profilesPrivacy choicesData Retention Period:390 daysYour Consent:Consent expiry: 1 year 25 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://legal.adjoe.zone/wave/adjoe-data-privacy-latest.htmlLegitimate Interest: https://legal.adjoe.zone/wave/adjoe-data-privacy-latest.htmlPurposes (Consent):Store and/or access information on a deviceCreate profiles for personalised advertisingUse profiles to select personalised advertisingPurposes (Legitimate Interest):Use limited data to select advertisingMeasure advertising performanceDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsSave and communicate privacy choicesFeatures:Identify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersBrowsing and interaction dataNon-precise location dataUsers’ profilesPrivacy choicesData Retention Period:365 daysYour Consent:Tracking method: Cookies and othersShow details Adjust Digital A/SPrivacy policy: https://adjust-digital.com/privacy/Legitimate Interest: https://adjust-digital.com/privacy/Special Purposes:Deliver and present advertising and contentCategories of data:IP addressesYour Consent:Tracking method: Cookies onlyShow details Privacy policy: https://adkernel.com/privacy-policy/Legitimate Interest: https://adkernel.com/privacy-policy/Purposes (Consent):Store and/or access information on a deviceCreate profiles for personalised advertisingUse profiles to select personalised advertisingUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesPurposes (Legitimate Interest):Use limited data to select advertisingMeasure advertising performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Identify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataActively scan device characteristics for identificationCategories of data:IP addressesDevice identifiersNon-precise location dataPrecise location dataUsers’ profilesData Retention Period:180 daysYour Consent:Consent expiry: 180 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Privacy policy: https://www.adloox.com/legal/privacy-policyLegitimate Interest: https://www.adloox.com/legal/privacy-policyPurposes (Consent):Store and/or access information on a devicePurposes (Legitimate Interest):Measure advertising performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersBrowsing and interaction dataNon-precise location dataData Retention Period:396 daysYour Consent:Tracking method: Cookies and othersShow details Privacy policy: https://www.adman.gr/privacyLegitimate Interest: https://www.adman.gr/privacyPurposes (Consent):Store and/or access information on a deviceCreate profiles for personalised advertisingUse profiles to select personalised advertisingPurposes (Legitimate Interest):Use limited data to select advertisingMeasure advertising performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentCategories of data:Device characteristicsDevice identifiersProbabilistic identifiersNon-precise location dataData Retention Period:3650 daysYour Consent:Consent expiry: 10 yearsTracking method: Cookies onlyShow details Privacy policy: https://admanmedia.com/politica.htmlLegitimate Interest: https://admanmedia.com/politica.htmlPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesFeatures:Link different devicesIdentify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersUser-provided dataNon-precise location dataPrivacy choicesYour Consent:Consent expiry: 364 days 23 hours 59 minutes 58 secondsCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Privacy policy: https://www.admaster.cc/privacyLegitimate Interest: https://www.admaster.cc/privacyPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingMeasure advertising performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesFeatures:Identify devices based on information transmitted automaticallyCategories of data:IP addressesDevice identifiersProbabilistic identifiersBrowsing and interaction dataNon-precise location dataPrivacy choicesData Retention Period:365 daysYour Consent:Consent expiry: 1 yearTracking method: Cookies and othersShow details Privacy policy: https://admasters.media/en/privacy/Purposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertising (Data Retention Period: 7 days)Use profiles to select personalised advertising (Data Retention Period: 7 days)Measure advertising performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesCategories of data:IP addressesDevice identifiersProbabilistic identifiersBrowsing and interaction dataData Retention Period:30 daysYour Consent:Consent expiry: 12 hoursTracking method: Cookies onlyShow details Privacy policy: https://admatic.de/privacy-policy/Legitimate Interest: https://admatic.de/opt-out-of-admatic-ads/Purposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesUse limited data to select contentSpecial Purposes:Deliver and present advertising and contentFeatures:Match and combine data from other data sourcesLink different devicesIdentify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataActively scan device characteristics for identificationCategories of data:Device characteristicsDevice identifiersBrowsing and interaction dataPrivacy choicesData Retention Period:90 daysYour Consent:Consent expiry: 90 daysTracking method: Cookies and othersShow details Privacy policy: https://admaxmedia.io/privacy-policy/Legitimate Interest: https://admaxmedia.io/privacy-policy/Purposes (Consent):Store and/or access information on a deviceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesSpecial Features:Use precise geolocation dataCategories of data:IP addressesDevice characteristicsDevice identifiersNon-precise location dataPrecise location dataPrivacy choicesYour Consent:Tracking method: Cookies and othersShow details Privacy policy: https://admixer.com/privacy/Legitimate Interest: https://admixer.com/privacy/Purposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentMeasure advertising performanceUnderstand audiences through statistics or combinations of data from different sourcesPurposes (Legitimate Interest):Develop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Match and combine data from other data sourcesLink different devicesSpecial Features:Use precise geolocation dataCategories of data:IP addressesDevice characteristicsDevice identifiersUser-provided dataNon-precise location dataPrivacy choicesData Retention Period:90 daysYour Consent:Consent expiry: 90 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Adnami ApsPrivacy policy: https://www.adnami.io/privacy-policy-servicesLegitimate Interest: https://www.adnami.io/privacy-policy-servicesPurposes (Legitimate Interest):Measure advertising performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesCategories of data:IP addressesNon-precise location dataPrivacy choicesYour Consent:Tracking method: Cookies onlyShow details Privacy policy: https://adnitix.com/privacy-policyLegitimate Interest: https://adnitix.com/privacy-policyPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingSpecial Purposes:Save and communicate privacy choicesCategories of data:Device characteristicsPrivacy choicesYour Consent:Consent expiry: 6 minutesTracking method: Cookies onlyShow details Privacy policy: https://adnow.com/privacy-policyLegitimate Interest: https://adnow.com/privacy-policyPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingPurposes (Legitimate Interest):Measure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentFeatures:Identify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataActively scan device characteristics for identificationCategories of data:IP addressesDevice characteristicsNon-precise location dataData Retention Period:30 daysYour Consent:Consent expiry: 14 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Privacy policy: https://adnuntius.com/resources/privacy-policy/Legitimate Interest: https://adnuntius.com/resources/privacy-policy/Purposes (Consent):Store and/or access information on a deviceCreate profiles for personalised advertisingUse profiles to select personalised advertisingPurposes (Legitimate Interest):Use limited data to select advertisingMeasure advertising performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Identify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersAuthentication-derived identifiersBrowsing and interaction dataUser-provided dataNon-precise location dataPrecise location dataUsers’ profilesPrivacy choicesData Retention Period:30 daysYour Consent:Consent expiry: 6 years 295 days 12 hours 19 minutes 24 secondsCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://www.adobe.com/privacy/experience-cloud.htmlLegitimate Interest: https://www.adobe.com/privacy/experience-cloud.htmlPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingDevelop and improve servicesPurposes (Legitimate Interest):Measure advertising performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentFeatures:Identify devices based on information transmitted automaticallyCategories of data:IP addressesDevice identifiersAuthentication-derived identifiersPrivacy choicesData Retention Period:760 daysYour Consent:Consent expiry: 2 yearsCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Privacy policy: https://www.adobe.com/privacy/policy.htmlLegitimate Interest: https://www.adobe.com/privacy/policy.htmlPurposes (Consent):Store and/or access information on a deviceDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsFeatures:Match and combine data from other data sourcesLink different devicesIdentify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersAuthentication-derived identifiersBrowsing and interaction dataUser-provided dataNon-precise location dataPrecise location dataUsers’ profilesPrivacy choicesYour Consent:Consent expiry: 180 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Privacy policy: https://adpone.com/privacy-policyPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesUse limited data to select contentFeatures:Match and combine data from other data sourcesLink different devicesIdentify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersNon-precise location dataData Retention Period:120 daysYour Consent:Consent expiry: 120 daysTracking method: Cookies onlyShow details Privacy policy: https://policy.openmobi.plLegitimate Interest: https://policy.openmobi.plPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsFeatures:Identify devices based on information transmitted automaticallySpecial Features:Actively scan device characteristics for identificationCategories of data:IP addressesDevice characteristicsProbabilistic identifiersNon-precise location dataUsers’ profilesPrivacy choicesData Retention Period:90 daysYour Consent:Tracking method: Cookies and othersShow details Privacy policy: https://adrenalead.com/en/data-protection-policyLegitimate Interest: https://adrenalead.com/en/data-protection-policyPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesUse limited data to select contentSpecial Purposes:Deliver and present advertising and contentSave and communicate privacy choicesFeatures:Match and combine data from other data sourcesIdentify devices based on information transmitted automaticallySpecial Features:Actively scan device characteristics for identificationCategories of data:IP addressesDevice characteristicsAuthentication-derived identifiersUser-provided dataNon-precise location dataPrivacy choicesData Retention Period:365 daysYour Consent:Consent expiry: 1 yearCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://adrino.pl/Regulaminy/Polityka_prywatnosci.htmlLegitimate Interest: https://adrino.pl/Regulaminy/Polityka_prywatnosci.htmlPurposes (Consent):Use limited data to select advertisingUse profiles to select personalised advertisingUse profiles to select personalised contentMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesUse limited data to select contentSpecial Purposes:Save and communicate privacy choicesFeatures:Match and combine data from other data sourcesIdentify devices based on information transmitted automaticallyCategories of data:IP addressesData Retention Period:360 daysYour Consent:Tracking method: Cookies onlyShow details Privacy policy: https://www.adrule.net/de/datenschutz/Legitimate Interest: https://www.adrule.net/de/datenschutz/Purposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesUse limited data to select contentSpecial Purposes:Save and communicate privacy choicesSpecial Features:Use precise geolocation dataCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersAuthentication-derived identifiersBrowsing and interaction dataNon-precise location dataPrecise location dataUsers’ profilesPrivacy choicesData Retention Period:364 daysYour Consent:Consent expiry: 1 yearCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://adsinteractive.com/privacy-policyLegitimate Interest: https://adsinteractive.com/privacy-policyPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingMeasure advertising performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentCategories of data:IP addressesDevice characteristicsNon-precise location dataPrivacy choicesData Retention Period:14 daysYour Consent:Consent expiry: 14 daysTracking method: Cookies onlyShow details Privacy policy: https://adserve.zone/adserveprivacypolicyLegitimate Interest: https://adserve.zone/adserveprivacypolicy#legitimateinterestPurposes (Consent):Develop and improve servicesPurposes (Legitimate Interest):Use limited data to select advertisingMeasure advertising performanceSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesCategories of data:IP addressesDevice characteristicsBrowsing and interaction dataNon-precise location dataData Retention Period:30 daysYour Consent:Consent expiry: 30 daysTracking method: Cookies onlyShow details Privacy policy: https://www.adservingfactory.com/privacy-policy.htmlLegitimate Interest: https://www.adservingfactory.com/privacy-policy.htmlPurposes (Consent):Measure advertising performance (Data Retention Period: 30 days)Special Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Identify devices based on information transmitted automaticallyCategories of data:Device characteristicsData Retention Period:1 daysYour Consent:Tracking method: Cookies onlyShow details Privacy policy: https://escalax.io/legal/privacy-policyLegitimate Interest: https://escalax.io/legal/privacy-policyPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertising (Data Retention Period: 1824 days)Measure advertising performanceSpecial Purposes:Deliver and present advertising and contentSave and communicate privacy choicesFeatures:Match and combine data from other data sourcesIdentify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersBrowsing and interaction dataNon-precise location dataPrecise location dataPrivacy choicesData Retention Period:1825 daysYour Consent:Consent expiry: 139 days 22 hours 30 minutesCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Privacy policy: https://www.ad-shield.io/privacy-policyLegitimate Interest: https://www.ad-shield.io/privacy-policyPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingMeasure advertising performancePurposes (Legitimate Interest):Measure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and contentSave and communicate privacy choicesFeatures:Identify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersBrowsing and interaction dataUser-provided dataNon-precise location dataPrivacy choicesData Retention Period:365 daysYour Consent:Consent expiry: 1 year 35 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://adsinflow.com/privacy.htmlLegitimate Interest: https://adsinflow.com/privacy.htmlPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertising (Data Retention Period: 365 days)Create profiles for personalised advertisingUse profiles to select personalised advertisingPurposes (Legitimate Interest):Measure advertising performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and content (Data Retention Period: 365 days)Save and communicate privacy choicesFeatures:Match and combine data from other data sourcesIdentify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersAuthentication-derived identifiersUser-provided dataNon-precise location dataUsers’ profilesPrivacy choicesData Retention Period:90 daysYour Consent:Consent expiry: 1 yearCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://adsocy.com/politica-de-privacidad-y-aviso-legal/Legitimate Interest: https://adsocy.com/politica-de-privacidad-y-aviso-legal/Purposes (Consent):Store and/or access information on a deviceUse limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesUse limited data to select contentCategories of data:IP addressesBrowsing and interaction dataNon-precise location dataPrivacy choicesData Retention Period:60 daysYour Consent:Consent expiry: 300 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies and othersShow details Privacy policy: https://help.adspirit.de/privacy.phpLegitimate Interest: https://help.adspirit.de/privacy.phpPurposes (Consent):Store and/or access information on a deviceUse limited data to select advertising (Data Retention Period: 14 days)Create profiles for personalised advertisingUse profiles to select personalised advertisingMeasure advertising performance (Data Retention Period: 14 days)Understand audiences through statistics or combinations of data from different sourcesSpecial Purposes:Ensure security, prevent and detect fraud, and fix errorsDeliver and present advertising and content (Data Retention Period: 14 days)Features:Identify devices based on information transmitted automaticallyCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersBrowsing and interaction dataNon-precise location dataUsers’ profilesPrivacy choicesData Retention Period:60 daysYour Consent:Consent expiry: 30 daysCookie expiry may be refreshed during the lifetime.Tracking method: Cookies onlyShow details Privacy policy: https://adsquare.com/privacy/Legitimate Interest: https://adsquare.com/privacy/Purposes (Consent):Use limited data to select advertisingCreate profiles for personalised advertisingUse profiles to select personalised advertisingCreate profiles to personalise contentUse profiles to select personalised contentMeasure advertising performanceMeasure content performanceUnderstand audiences through statistics or combinations of data from different sourcesDevelop and improve servicesUse limited data to select contentFeatures:Match and combine data from other data sourcesLink different devicesIdentify devices based on information transmitted automaticallySpecial Features:Use precise geolocation dataCategories of data:IP addressesDevice characteristicsDevice identifiersProbabilistic identifiersAuthentication-derived identifiersBrowsing and interaction da

ADNOC, Gecko Robotics to boost AI, robotics, UAE talent training
Technology

ADNOC, Gecko Robotics to boost AI, robotics, UAE talent training

Dubai: ADNOC has signed three new agreements with Gecko Robotics to expand the use of artificial intelligence (AI) and robotics across its operations and to develop advanced skills training programs for UAE Nationals..Sign up for our daily business newsletter, Cheques & Balances..The deals, signed at the ENACT Majlis in Abu Dhabi, include a multi-year technology deployment for ADNOC Gas, a collaboration between ADNOC Technical Academy (ATA) and Gecko Robotics on talent development, and the rollout of robotics and AI-powered analytics across ADNOC’s energy assets to improve efficiency and reduce downtime.Multi-year tech partnershipThe first agreement, signed between AIQ—ADNOC’s joint venture with Presight—and Gecko Robotics, will see the deployment of the Cantilever operating system across ADNOC Gas assets. The system uses AI and robotic inspection technologies to collect and analyze physical data from critical energy infrastructure.The partnership marks AIQ’s entry into robotics, enabling faster maintenance, predictive analytics, and improved asset reliability across ADNOC’s gas operations..ADNOC Gas secures LNG supply deal with third Indian energy company.Expanding robotics, AIUnder a second agreement, ADNOC and Gecko Robotics will explore broader uses of robotics and AI-driven analytics across the company’s onshore and offshore facilities. The collaboration will also look into the local manufacturing of robotic systems in the UAE and the development of new AI applications to support ADNOC’s operational needs.The third agreement brings together Gecko Robotics and the ADNOC Technical Academy to launch training programs for UAE Nationals, equipping them with skills in robotics, AI, and digital maintenance technologies. The initiative supports ADNOC’s efforts to nurture local expertise and prepare the next generation of Emirati professionals for emerging roles in the energy sector.'Harnessing power of AI' Dr. Sultan Ahmed Al Jaber, ADNOC’s Managing Director and Group Chief Executive Officer, said: “ADNOC is harnessing the power of AI and advanced technology to transform the way we work, driving greater efficiency, safety and performance across our operations. These three agreements mark another step on our journey to becoming the world’s most AI-enabled energy company as we accelerate robotics deployment, empower local talent and strengthen the UAE’s position as a global hub for energy innovation.”Jake Loosararian, CEO of Gecko Robotics, said: “There is a race to lead the AI and energy moment. And the energy companies that win won't just utilize technology—they will become technology companies. There is only one way to win this race, and that's to acquire physical data using robotics and unlocking human and machine performance from the AI that data fuels.”The new agreements build on ADNOC’s strategy to leverage digital technology and artificial intelligence to boost operational performance, sustainability, and innovation within the UAE’s energy sector..UAE AI ambitions: Building the foundations of the next economic growth era