Development

ILO launches grievance apps for Indonesian workers

The International Labour Organization (ILO) has launched upgraded grievance apps to enhance workplace conditions in Indonesia’s garment, footwear and palm oil sectors. The Jakarta launch on 29 October advances decent work and strengthens industrial relations.

The initiative was developed in close collaboration with trade union confederations, federations and networks representing more than 100,000 workers nationwide.

The new apps, including SoPaN SPN, Teman Garteks, Hallo Siola and a palm oil platform, use AI for categorisation, tagging, follow-ups and satisfaction ratings. The upgrades make complaint processes quicker, clearer and more accessible for all workers.

Each platform allows workers to submit grievances with supporting evidence, which are then reviewed and addressed by union administrators through negotiation or mediation.

Funded by Canada, the ILO’s RealGains project tackles labour challenges and expands the platforms beyond the garment sector. Using technology in grievance systems, the ILO aims to boost social dialogue, safeguard workers’ rights and support businesses.

Officials highlighted that these tools could deliver direct benefits to hundreds of thousands of employees across key industries in Indonesia.

Experts emphasised that effective grievance channels are critical for sustainable industrial relations. AI apps streamline complaints and empower workers, promoting safer and fairer workplaces nationwide.

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OpenAI unveils new gpt-oss-safeguard models for adaptive content safety

Yesterday, OpenAI launched gpt-oss-safeguard, a pair of open-weight reasoning models designed to classify content according to developer-specified safety policies.

Available in 120b and 20b sizes, these models allow developers to apply and revise policies during inference instead of relying on pre-trained classifiers.

They produce explanations of their reasoning, making policy enforcement transparent and adaptable. The models are downloadable under an Apache 2.0 licence, encouraging experimentation and modification.

The system excels in situations where potential risks evolve quickly, data is limited, or nuanced judgements are required.

Unlike traditional classifiers that infer policies from pre-labelled data, gpt-oss-safeguard interprets developer-provided policies directly, enabling more precise and flexible moderation.

The models have been tested internally and externally, showing competitive performance against OpenAI’s own Safety Reasoner and prior reasoning models. They can also support non-safety tasks, such as custom content labelling, depending on the developer’s goals.

OpenAI developed these models alongside ROOST and other partners, building a community to improve open safety tools collaboratively.

While gpt-oss-safeguard is computationally intensive and may not always surpass classifiers trained on extensive datasets, it offers a dynamic approach to content moderation and risk assessment.

Developers can integrate the models into their systems to classify messages, reviews, or chat content with transparent reasoning instead of static rule sets.

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Automakers and freight partners join NVIDIA and Uber to accelerate level 4 deployments

NVIDIA and Uber partner on level 4-ready fleets using the DRIVE AGX Hyperion 10, aiming to scale a unified human-and-robot driver network from 2027. A joint AI data factory on NVIDIA Cosmos will curate training data, aiming to reach 100,000 vehicles over time.

DRIVE AGX Hyperion 10 is a reference compute and sensor stack for level 4 readiness across cars, vans, and trucks. Automakers can pair validated hardware with compatible autonomy software to speed safer, scalable, AI-defined mobility. Passenger and freight services gain faster paths from prototype to fleet.

Stellantis, Lucid, and Mercedes-Benz are preparing passenger platforms on Hyperion 10. Aurora, Volvo Autonomous Solutions, and Waabi are extending level 4 capability to long-haul trucking. Avride, May Mobility, Momenta, Nuro, Pony.ai, Wayve, and WeRide continue to build on NVIDIA DRIVE.

The production platform pairs dual DRIVE AGX Thor on Blackwell with DriveOS and a qualified multimodal sensor suite. Cameras, radar, lidar, and ultrasonics deliver 360-degree coverage. Modular design plus PCIe, Ethernet, confidential computing, and liquid cooling support upgrades and uptime.

NVIDIA is also launching Halos, a cloud-to-vehicle AI safety and certification system with an ANSI-accredited inspection lab and certification program. A multimodal AV dataset and reasoning VLA models aim to improve urban driving, testing, and validation for deployments.

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Grammarly becomes Superhuman with unified AI tools for work

Superhuman, formerly known as Grammarly, is bundling its writing tools, workspace platform, and email client with a new AI assistant suite. The company says the rebrand reflects a push to unify generative AI features that streamline workplace tasks and online communication for subscribers.

Grammarly acquired Coda and Superhuman Mail earlier this year and added Superhuman Go. The bundle arrives as a single plan. Go’s agents brainstorm, gather information, send emails, and schedule meetings to reduce app switching.

Superhuman Mail organises inboxes and drafts replies in your voice. Coda pulls data from other apps into documents, tables, and dashboards. An upcoming update lets Coda act on that data to automate plans and tasks.

CEO Shishir Mehrotra says the aim is ambient, integrated AI. Built on Grammarly’s infrastructure, the tools work in place without prompting or pasting. The bundle targets teams seeking consistent AI across writing, email, and knowledge work.

Analysts will watch brand overlap with the existing Superhuman email app and enterprise pricing. Success depends on trust, data controls, and measurable time savings versus point tools. Rollout specifics, including regions, will follow.

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Experts caution that AI growth could double data centre energy use

AI’s rapid growth is fuelling a surge in electricity consumption across the United States, with data centres emerging as major contributors. Analysts warn that expanding AI infrastructure is pushing up national energy demand and could drive higher electricity bills for homes and businesses.

The US hosts more than 4,000 data centres, concentrated mainly in Virginia, Texas and California. Many now operate high-performance AI systems that consume up to 30 times more electricity than traditional facilities, according to energy experts.

The International Energy Agency reported that US data centres used a record 183 terawatt-hours of electricity in 2024, about 4% of national demand. That figure could more than double by 2030, reaching 426 terawatt-hours, as companies race to expand cloud and AI capacity.

With 60% of energy use tied to servers and processing hardware, the shift toward AI-driven computing poses growing challenges for green energy infrastructure. Researchers say that without major efficiency gains, the nation’s power grid will struggle to keep pace with AI’s accelerating appetite for electricity.

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Microsoft restores Azure services after global outage

The US tech giant, Microsoft, has resolved a global outage affecting its Azure cloud services, which disrupted access to Office 365, Minecraft, and numerous other websites.

The company attributed the incident to a configuration change that triggered DNS issues, impacting businesses and consumers worldwide.

An outage that affected high-profile services, including Heathrow Airport, NatWest, Starbucks, and New Zealand’s police and parliament websites.

Microsoft restored access after several hours, but the event highlighted the fragility of the internet due to the concentration of cloud services among a few major providers.

Experts noted that reliance on platforms such as Azure, Amazon Web Services, and Google Cloud creates systemic risks. Even minor configuration errors can ripple across thousands of interconnected systems, affecting payment processing, government operations, and online services.

Despite the disruption, Microsoft’s swift fix mitigated long-term impact. The company reiterated the importance of robust infrastructure and contingency planning as the global economy increasingly depends on cloud computing.

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Report reveals major barriers to UK workforce AI skills development

A new government analysis has identified deep-rooted barriers preventing widespread development of AI skills in the UK’s workforce. The research highlights systemic challenges across education, funding, and awareness, threatening the country’s ambition to build an inclusive and competitive AI economy.

UK experts found widespread confusion over what constitutes AI skills, with inconsistent terminology creating mismatches between training, qualifications, and labour market needs. Many learners and employers still conflate digital literacy with AI competence.

The report also revealed fragmented training provision, limited curriculum responsiveness, and fragile funding cycles that hinder long-term learning. Many adults lack even basic digital literacy, while small organisations and community programmes struggle to sustain AI courses beyond pilot stages.

Employers were found to have an incomplete understanding of their own AI skills needs, particularly within SMEs and public sector organisations. Without clearer frameworks, planning tools, and consistent investment, experts warn the UK risks falling behind in responsible AI adoption and workforce readiness.

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Global alliance strengthens response to crypto crime

Global experts are stepping up efforts to combat the misuse of cryptocurrencies as criminal networks become increasingly sophisticated.

The 9th Global Conference on Criminal Finances and Cryptoassets was held in Vienna and co-organised by Europol, the UNODC and the Basel Institute on Governance. The event brought together over 250 participants and 1,000 online attendees to discuss how to strengthen the global response.

Delegates emphasised the need for unified standards, stronger cooperation and greater investment in training to tackle the evolving threats posed by crypto-enabled crime.

Speakers warned that blockchain misuse has expanded beyond scams to include terrorism financing, sanctions evasion and organised money laundering. Europol’s Burkhard Mühl said tackling these complex crimes needs greater innovation and collaboration.

Advanced tracing tools and successful cross-border operations demonstrate progress, yet significant legislative and capacity gaps remain.

Participants urged harmonised standards and quicker information sharing between financial institutions and virtual asset providers. The Wolfsberg Group noted that private sector collaboration is as vital as public partnerships in disrupting illicit crypto activity.

Building capacity through hands-on training and peer learning was also identified as a priority. According to Elizabeth Andersen of the Basel Institute, equipping agencies with the skills to trace and recover illicit assets can transform how nations respond to crypto-related crime.

Experts agreed that continued dialogue, shared expertise and consistent standards are key to ensuring innovation in blockchain benefits society rather than enabling criminal networks.

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Top institutes team up with Google DeepMind to spearhead AI-assisted mathematics

AI for Math Initiative pairs Google DeepMind with five elite institutes to apply advanced AI to open problems and proofs. Partners include Imperial, IAS, IHES, the Simons Institute at UC Berkeley, and TIFR. The goal is to accelerate discovery, tooling, and training.

Google support spans funding and access to Gemini Deep Think, AlphaEvolve for algorithm discovery, and AlphaProof for formal reasoning. Combined systems complement human intuition, scale exploration, and tighten feedback loops between theory and applied AI.

Recent benchmarks show rapid gains. Deep Think enabled Gemini to reach gold-medal IMO performance, perfectly solving five of six problems for 35 points. AlphaGeometry and AlphaProof earlier achieved silver-level competence on Olympiad-style tasks.

AlphaEvolve pushed the frontiers of analysis, geometry, combinatorics, and number theory, improving the best results on 1/5 of 50 open problems. Researchers also uncovered a 4×4 matrix-multiplication method that uses 48 multiplications, surpassing the 1969 record.

Partners will co-develop datasets, standards, and open tools, while studying limits where AI helps or hinders progress. Workstreams include formal verification, conjecture generation, and proof search, emphasising reproducibility, transparency, and responsible collaboration.

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Humanoid robots set to power Foxconn’s new Nvidia server plant in Houston

Foxconn will add humanoid robots to a new Houston plant building Nvidia AI servers from early 2026. Announced at Nvidia’s developer conference, the move deepens their partnership and positions the site as a US showcase for AI-driven manufacturing.

Humanoid systems based on Nvidia’s Isaac GR00T N are built to perceive parts, adapt on the line, and work with people. Unlike fixed industrial arms, they handle delicate assembly and switch tasks via software updates. Goals include flexible throughput, faster retooling, and fewer stoppages.

AI models are trained in simulation using digital twins and reinforcement learning to improve accuracy and safety. On the line, robots self-tune as analytics predict maintenance and balance workloads, unlocking gains across logistics, assembly, testing, and quality control.

Texas, US, offers proximity to a growing semiconductor and AI cluster, as well as policy support for domestic capacity. Foxconn also plans expansions in Wisconsin and California to meet global demand for AI servers. Scaling output should ease supply pressures around Nvidia-class compute in data centres.

Job roles will shift as routine tasks automate and oversight becomes data-driven. Human workers focus on design, line configuration, and AI supervision, with safety gates for collaboration. Analysts see a template for Industry 4.0 factories running near-continuously with rapid changeovers.

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