Mythos AI has installed its Advanced Pilot Assistance System (APAS) on the CB Pacific, a chemical tanker operated by CB Tankers under the Lomar group. The deployment marks the beginning of a year-long trial to introduce advanced bridge intelligence to the commercial shipping industry.
APAS uses a radar-first perception system that integrates with existing ship radars, processing multiple data streams to deliver prioritised alerts. By reducing its reliance on machine vision, the system aims to eliminate distractions, enhance decision-making, and improve navigation safety.
The CB Pacific, equipped with Furuno radar and consistent routes, will serve as a testbed to evaluate APAS performance in live conditions. Trials will assess collision prediction, safe navigation, signal processing, and compliance with maritime rules.
Mythos AI emphasises that APAS is designed to support crews, not replace them. CEO Geoff Douglass said the installation marks the company’s first operational use of the system on a tanker and a milestone in its wider commercial roadmap.
For LomarLabs, the pilot showcases its hands-on innovation model, offering vessel access and oversight to facilitate collaboration with startups. Managing Director Stylianos Papageorgiou said the radar-first architecture shows how modular autonomy can be advanced through trust, time, and fleet partnerships.
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Financial services firms are adapting rapidly to the rise of AI in cybersecurity, according to David Ramirez, CISO at Broadridge. He said AI is changing the balance between attackers and defenders while also reshaping the skills security teams require.
On the defensive side, AI is already streamlining governance, risk management and compliance tasks, while also speeding up incident detection and training. He highlighted its growing role in areas like access management and data loss prevention.
He also stressed the importance of aligning cyber strategy with business goals and improving board-level visibility. While AI tools are advancing quickly, he urged CISOs not to lose sight of risk assessments and fundamentals in building resilient systems.
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OpenAI has reportedly placed a $10bn order with Broadcom to mass-produce custom AI chips, due for shipment in 2026. Sources told the Financial Times that the move would help reduce OpenAI’s dependence on Nvidia, its primary supplier.
Sam Altman recently said OpenAI will use ‘well over 1m GPUs’ by the end of 2025, highlighting the company’s accelerating demand for computing power. In contrast, Elon Musk’s xAI is expected to double its Nvidia Hopper GPUs to around 200,000.
Broadcom confirmed a large custom chip order during its latest earnings call, without naming the buyer. The company’s AI revenue rose 63 percent to $5.2bn, chip sales grew 57 percent to $9.1bn, and shares gained nearly 5 percent.
The new order is expected to be for internal use rather than external customers. Industry observers suggest that OpenAI’s decision signals a strategic shift, allowing the ChatGPT maker to secure supply for its AI expansion while diversifying beyond Nvidia.
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The European Union Aviation Safety Agency (EASA) has published survey results probing the ethical outlook of aviation professionals on AI deployment, released during its AI Days event in Cologne.
The AI Days conference gathered nearly 200 on-site attendees from across the globe, with even more participating online.
The survey measured acceptance, trust and comfort across eight hypothetical AI use cases, yielding an average acceptance score of 4.4 out of 7. Despite growing interest, two-thirds of respondents declined at least one scenario.
Their key concerns included limitations of AI performance, privacy and data protection, accountability, safety risks and the potential for workforce de-skilling. A clear majority called for stronger regulation and oversight by EASA and national authorities.
In a keynote address, Christine Berg from the European Commission highlighted that AI in aviation is already practical, optimising air traffic flow and predictive maintenance, while emphasising the need for explainable, reliable and certifiable systems under the EU AI Act.
Survey findings will feed into EASA’s AI Roadmap and prompt public consultations as the agency advances policy and regulatory frameworks.
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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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WhatsApp has fixed a vulnerability that exposed Apple device users to highly targeted cyberattacks. The flaw was chained with an iOS and iPadOS bug, allowing hackers to access sensitive data.
According to researchers at Amnesty’s Security Lab, the malicious campaign lasted around 90 days and impacted fewer than 200 people. WhatsApp notified victims directly, which urged all users to update their apps immediately.
Apple has also acknowledged the issue and released security patches to close the cybersecurity loophole. Experts warn that other apps beyond WhatsApp may have been exploited in the same campaign.
The identity of those behind the spyware attacks remains unclear. Both companies have stressed that prompt updates are the best protection for users against similar threats.
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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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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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