Interdisciplinary approaches

Stargate Michigan expands OpenAI’s US buildout

OpenAI will build a new campus in Saline Township, Michigan, as part of a 4.5 GW partnership with Oracle. Planned US capacity now exceeds 8 gigawatts. Investment over the next three years is expected to surpass $450 billion.

Leaders frame Stargate as a path to reindustrialise the United States while expanding access to AI benefits. Projects generate jobs during buildout and strengthen supply chains. Communities are intended to share gains.

Related Digital will develop the Michigan site, with construction expected in early 2026. More than 2,500 union construction roles are planned. A closed-loop cooling system will significantly reduce on-site water consumption.

DTE Energy will utilise existing excess transmission capacity to serve the campus. The project, not local ratepayers, will fund any required upgrades. Local energy supplies are expected to remain unaffected.

Expansion builds on previously announced sites in Texas, New Mexico, Wisconsin, and Ohio. Programmes aim to bolster modern energy and manufacturing systems. Michigan’s engineering heritage makes it a focal point for future AI infrastructure.

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When AI LLMs ‘think’ more, groups suffer, CMU study finds

Researchers at Carnegie Mellon University report that stronger-reasoning language models (LLMs) act more selfishly in groups, reducing cooperation and nudging peers toward self-interest. Concerns grow as people ask AI for social advice.

In a Public Goods test, non-reasoning models shared 96 percent; a reasoning model shared 20 percent. Adding a few reasoning steps cut cooperation nearly in half. Reflection prompts also reduced sharing.

Mixed groups showed spillover. Reasoning agents dragged down collective performance by 81 percent, spreading self-interest. Users may over-trust ‘rational’ advice that justifies uncooperative choices at work or in class.

Comparisons spanned LLMs from OpenAI, Google, DeepSeek, and Anthropic. Findings point to the need to balance raw reasoning with social intelligence. Designers should reward cooperation, not only optimise individual gain.

The paper ‘Spontaneous Giving and Calculated Greed in Language Models’ will be presented at EMNLP 2025, with a preprint on arXiv. Authors caution that more intelligent AI is not automatically better for society.

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Microsoft leaders envision AI as an invisible partner in work and play

AI, gaming and work were at the heart of the discussion during the Paley International Council Summit, where three Microsoft executives explored how technology is reshaping human experience and industry structures.

Mustafa Suleyman, Phil Spencer and Ryan Roslansky offered perspectives on the next phase of digital transformation, from personalised AI companions to the evolution of entertainment and the changing nature of work.

Mustafa Suleyman, CEO of Microsoft AI, described a future where AI becomes an invisible companion that quietly assists users. He explained that AI is moving beyond standalone apps to integrate directly into systems and browsers, performing tasks through natural language rather than manual navigation.

With features like Copilot on Windows and Edge, users can let AI automate everyday functions, creating a seamless experience where technology anticipates rather than responds.

Phil Spencer, CEO of Microsoft Gaming, underlined gaming’s cultural impact, noting that the industry now surpasses film, books and music combined. He emphasised that gaming’s interactive nature offers lessons for all media, where creativity, participation and community define success.

For Spencer, the future of entertainment lies in blending audience engagement with technology, allowing fans and creators to shape experiences together.

Ryan Roslansky, CEO of LinkedIn, discussed how AI is transforming skills and workforce dynamics. He highlighted that required job skills are changing faster than ever, with adaptability, AI literacy and human-centred leadership becoming essential.

Roslansky urged companies to focus on potential and continuous learning instead of static job descriptions, suggesting that the most successful organisations will be those that evolve with technology and cultivate resilience through education.

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Trainium2 power surges as AWS’s Project Rainier enters service for Anthropic

Anthropic and AWS switched on Project Rainier, a vast Trainium2 cluster spanning multiple US sites to accelerate Claude’s evolution.

Project Rainier is now fully operational, less than a year after its announcement. AWS engineered an EC2 UltraCluster of Trainium2 UltraServers to deliver massive training capacity. Anthropic says it offers more than five times the compute used for prior Claude models.

UltraServers bind four Trainium2 servers with high-speed NeuronLinks so 64 chips act as one. Tens of thousands of networks are connected through Elastic Fabric Adapter across buildings. The design reduces latency within racks while preserving flexible scale across data centres.

Anthropic is already training and serving Claude on Rainier across the US and plans to exceed one million Trainium2 chips by year’s end. More computing should raise model accuracy, speed evaluations, and shorten iteration cycles for new frontier releases.

AWS controls the stack from chip to data centre for reliability and efficiency. Teams tune power delivery, cooling, and software orchestration. New sites add water-wise cooling, contributing to the company’s renewable energy and net-zero goals.

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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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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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Nordic ministers fund AI language model network

Nordic ministers for culture have approved funding for a new network dedicated to language models for AI. The decision, taken at a meeting in Stockholm on 29 October, aims to ensure AI development reflects the region’s unique linguistic and cultural traits.

It is one of the first projects for the recently launched Nordic-Baltic centre for AI, New Nordics AI.

The network will bring together national stakeholders to address shared challenges in AI language models. The initiative aims to protect smaller languages and ensure AI tools reflect Nordic linguistic diversity through knowledge sharing and collaboration.

Finland’s Minister for Research and Culture, Mari-Leena Talvitie, said the project is a key step in safeguarding the future of regional languages in digital tools.

Ministers also discussed AI’s broader cultural impact, highlighting issues such as copyright and the need for regional oversight. The network will identify collaboration opportunities and guide future investments in culturally and linguistically anchored Nordic AI solutions.

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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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Alliance science pact lifts US–Korea cooperation on AI, quantum, 6G, and space

The United States and South Korea agreed on a broad science and technology memorandum to deepen alliance ties and bolster Indo-Pacific stability. The non-binding pact aims to accelerate innovation while protecting critical capabilities. Both sides cast it as groundwork for a new Golden Age of Innovation.

AI sits at the centre. Plans include pro-innovation policy alignment, trusted exports across the stack, AI-ready datasets, safety standards, and enforcement of compute protection. Joint metrology and standards work links the US Center for AI Standards and Innovation with the AI Safety Institute of South Korea.

Trusted technology leadership extends beyond AI. The memorandum outlines shared research security, capacity building for universities and industry, and joint threat analysis. Telecommunications cooperation targets interoperable 6G supply chains and coordinated standards activity with industry partners.

Quantum and basic research are priority growth areas. Participants plan interoperable quantum standards, stronger institutional partnerships, and secured supply chains. Larger projects and STEM exchanges aim to widen collaboration, supported by shared roadmaps and engagement in global consortia.

Space cooperation continues across civil and exploration programmes. Strands include Artemis contributions, a Korean cubesat rideshare on Artemis II, and Commercial Lunar Payload Services. The Korea Positioning System will be developed for maximum interoperability with GPS.

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