OpenAI and Oracle join forces for massive AI data centre expansion

OpenAI had signed a significant cloud computing deal with Oracle worth $30 billion per year, aiming to secure around 4.5GW of capacity through the Stargate joint venture, in which Oracle is a key investor.

Oracle plans to develop several large-scale data centres across the United States, including a potential expansion of its Abilene, Texas, site from 1.2GW to 2GW.

According to reports from Bloomberg and the Financial Times, other locations under consideration include Michigan, Wisconsin, Wyoming, New Mexico, Georgia, Ohio, and Pennsylvania.

In addition to its collaboration with Oracle, OpenAI continues using Microsoft Azure as its primary cloud provider and works with CoreWeave and Google. Notably, OpenAI leverages Google’s custom TPUs in some operations.

Despite the partnerships, OpenAI is pursuing plans to build its data centre infrastructure. The company also intends to construct a Stargate campus in the United Arab Emirates, in collaboration with Oracle, Nvidia, Cisco, SoftBank, and G42, and is scouting global locations for future facilities.

The massive investment underscores OpenAI’s growing compute needs and the global scale of its AI ambitions.

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Croatia turns bus stops into AI-powered health stations

Croatia has introduced a groundbreaking public health campaign that uses AI and interactive billboards to tackle undiagnosed spinal issues. The initiative, led by Croatia Poliklinika, has provided over 100,000 free posture screenings and reached nearly 78% of the country’s population.

By converting bus stops into makeshift health stations, the project enables passers-by to receive posture checks via AI-powered digital billboards. The system analyses spine alignment at eight points and offers instant feedback, encouraging users to seek specialist help through a QR code.

The campaign has sparked immediate behavioural change, with 97% of people adjusting their posture during the scan. Since its launch, Croatia has seen a 46% rise in preventive spine check-ups, turning passive advertising spaces into tools for public well-being.

Croatia Poliklinika, which operates nine clinics nationwide, says the project demonstrates how digital infrastructure can reshape healthcare accessibility. The success is being hailed as a model for how technology can redefine public health engagement in everyday spaces.

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Grammarly invests in email with Superhuman acquisition

Grammarly announced on Tuesday that it has acquired email client Superhuman to expand its AI capabilities within its productivity suite.

Financial details of the deal were not disclosed by either company. Superhuman, founded by Rahul Vohra, Vivek Sodera and Conrad Irwin, has raised over $114 million from investors such as a16z and Tiger Global, with a last valuation of $825 million.

Grammarly CEO Shishir Mehrotra said the acquisition will enable the company to bring enhanced AI collaboration to millions more professionals, adding that email is not just another app but a crucial platform where users spend significant time.

Superhuman’s CEO Rahul Vohra and his team are joining Grammarly, promising to invest further in improving the Superhuman experience and building AI agents that collaborate across everyday communication tools.

Recently, Superhuman introduced AI-powered features like scheduling, replies and email categorisation. Grammarly aims to leverage the technology to build smarter AI agents for email, which remains a top use case for its customers.

The move follows Grammarly’s acquisition of productivity software Coda last year and the promotion of Shishir Mehrotra to CEO.

In May, Grammarly secured $1 billion from General Catalyst through a non-dilutive investment, repaid by a capped percentage of revenue generated using the funds instead of equity.

The Superhuman deal further signals Grammarly’s commitment to integrating AI deeply into professional communication.

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Gemini AI suite expands to help teachers plan and students learn

Google has unveiled a major expansion of its Gemini AI tools tailored for classroom use, launching over 30 features to support teachers and students. These updates include personalised AI-powered lesson planning, content generation, and interactive study guides.

Teachers can now create custom AI tutors, known as ‘Gems’, to assist students with specific academic needs using their own teaching materials. Google’s AI reading assistant is also gaining real-time support features through the Read Along tool in Classroom, enhancing literacy development for younger users.

Students and teachers will benefit from wider access to Google Vids, the company’s video creation app, enabling them to create instructional content and complete multimedia assignments.

Additional features aim to monitor student progress, manage AI permissions, improve data security, and streamline classroom content delivery using new Class tools.

By placing AI directly into the hands of educators, Google aims to offer more engaging and responsive learning, while keeping its tools aligned with classroom goals and policies. The rollout continues Google’s bid to take the lead in the evolving AI-driven edtech space.

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Meta launches AI superintelligence lab to compete with rivals

Meta has launched a new division called Meta Superintelligence Labs to accelerate its AI ambitions and close the gap with rivals such as OpenAI and Google.

The lab will be led by Alexandr Wang, former CEO of Scale AI, following Meta’s $14.3 billion investment in the data-labeling company. Former GitHub CEO Nat Friedman and SSI co-founder Daniel Gross will also hold key roles in the initiative.

Mark Zuckerberg announced the new effort in an internal memo, stating that Meta is now focused on developing superintelligent AI systems capable of matching or even outperforming humans. He described this as the beginning of a new era and reaffirmed Meta’s commitment to leading the field.

The lab’s mission is to push AI to a point where it can solve complex tasks more effectively than current models.

To meet these goals, Meta has been aggressively recruiting AI researchers from top competitors. Reports suggest that OpenAI employees have been offered signing bonuses as high as $100 million to join Meta.

New hires include talent from Anthropic and Google, although Meta has reportedly avoided deeper recruitment from Anthropic due to concerns over culture fit.

Meta’s move comes in response to the lukewarm reception of its Llama 4 model and mounting pressure from more advanced AI products released by competitors.

The company hopes that by combining high-level leadership, fresh talent and massive investment, its new lab can deliver breakthrough results and reposition Meta as a serious contender in the race for AGI.

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Apple may use ChatGPT or Claude to power Siri

Apple is reportedly in talks with OpenAI and Anthropic as it considers outsourcing AI technology for its voice assistant, Siri.

The discussions are said to include the possibility of training versions of ChatGPT or Claude to run on Apple’s cloud infrastructure. According to Bloomberg’s Mark Gurman, Apple is currently leaning towards Anthropic’s Claude as a better fit for Siri, although no final decision has been made.

While Apple already allows users to access ChatGPT through its Apple Intelligence platform, the integration is currently optional and user-driven.

What is now under consideration would mark a significant shift, such as choosing a third-party model to power Siri directly. The initiative comes as the company struggles to keep pace in a rapidly advancing AI market dominated by Google, OpenAI, and others.

Apple is still developing its large language models under a project codenamed LLM Siri. However, these in-house systems are reportedly lagging behind leading models already available.

Should Apple proceed with a third-party integration, it would signal a rare admission that its internal AI efforts are not enough to compete at the highest level.

Once celebrated for breakthrough innovations like the iPhone, Apple has faced growing criticism for a lack of fresh ideas. With rivals embedding generative AI into everyday tools, the pressure is mounting.

If Siri remains limited — still unable to answer basic questions — Apple risks alienating even its most loyal users. Whether through partnership or internal progress, the company now faces a narrowing window to prove it still leads, instead of follows.

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Africa risks being left behind in global AI development

Africa is falling far behind in the global race to develop AI, according to a new report by Oxford University.

The study mapped the location of advanced AI infrastructure and revealed that only 32 countries — just 16% of the world — currently operate major AI data centres.

These facilities are essential for training and developing modern AI systems. In contrast, most African nations remain dependent on foreign technology providers, limiting their control over digital development.

Rather than building local capacity, Africa has essentially been treated as a market for AI products developed elsewhere. Regional leaders have often focused on distributing global tech tools instead of investing in infrastructure for homegrown innovation.

One notable exception is Strive Masiyiwa’s Cassava Technologies, which recently partnered with Nvidia to launch the continent’s first AI factory, which is located in South Africa. The project aims to expand across Egypt, Kenya, Morocco and Nigeria.

Unlike typical data centres, an AI factory is explicitly built to support the full AI lifecycle, from raw data to trained models. Nvidia’s GPUs will power the facility, enabling ‘AI as a service’ to be used by governments, businesses, and researchers across the continent.

Cassava’s model offers a more sustainable vision, where African data is used to create local solutions, instead of exporting value abroad.

Experts argue that Africa needs more such initiatives to reduce dependence and participate meaningfully in the AI economy. An AI Fund supported by leading African nations could help finance new factories and infrastructure.

With time running out, leaders must move beyond surface-level engagement and begin coordinated action to address the continent’s growing digital divide.

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OpenInfra Summit Europe brings focus on AI and VMware alternatives

The OpenInfra Foundation and its global community will gather at the OpenInfra Summit Europe from 17 to 19 October in Paris-Saclay to explore how open source is reshaping digital infrastructure.

It will be the first summit since the Foundation joined the Linux Foundation, uniting major projects such as Linux, Kubernetes and OpenStack under the OpenInfra Blueprint. The agenda includes a strong focus on digital sovereignty, VMware migration strategies and infrastructure support for AI workloads.

Taking place at École Polytechnique in Palaiseau, the summit arrives at a time when open source software is powering nearly $9 trillion of economic activity.

With over 38% of the global OpenInfra community based in Europe, the event will focus on regional priorities like data control, security, and compliance with new EU regulations such as the Cyber Resilience Act.

Developers, IT leaders and business strategists will explore how projects like Kata Containers, Ceph and RISC-V integrate to support cost-effective, scalable infrastructure.

The summit will also mark OpenStack’s 15th anniversary, with use cases shared by the UN, BMW and nonprofit Restos du Coeur.

Attendees will witness a live VMware migration demo featuring companies like Canonical and Rackspace, highlighting real-world approaches to transitioning away from proprietary platforms. Sessions will dive into topics like CI pipelines, AI-powered infrastructure, and cloud-native operations.

As a community-led event, OpenInfra Summit Europe remains focused on collaboration.

With sponsors including Canonical, Mirantis, Red Hat and others, the gathering offers developers and organisations an opportunity to share best practices, shape open source development, and strengthen the global infrastructure ecosystem.

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Sam Altman reverses his stance on AI hardware as current computers can’t meet the demands

Sam Altman, CEO of OpenAI, has returned from his earlier position, saying that AGI would not need new hardware.

Speaking on a podcast with his brother, Altman said current computers are no longer suited for the fast-evolving demands of AI. Instead of relying on standard hardware, he now believes new solutions are necessary.

OpenAI has already started developing dedicated AI hardware, including potential custom chips, marking a shift from using general-purpose GPUs and servers.

Altman also hinted at a new device — not a wearable, nor a phone — that could serve as an AI companion. Designed to be screen-free and aware of its surroundings, the product is being co-developed with former Apple design chief Jony Ive.

The collaboration, however, has run into legal trouble. A federal judge recently ordered OpenAI and Ive to pause the promotion of the new venture after a trademark dispute with a startup named IYO, which had previously pitched similar ideas to Altman’s investment firm.

OpenAI’s recent $6.5 billion acquisition of io Products, co-founded by Ive, reflects the company’s more profound commitment to reshaping how people interact with AI.

Altman’s revised stance on hardware suggests the era of purpose-built AI devices is no longer a vision but a necessary reality.

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Meta hires top OpenAI researcher for AI superintelligence push

Meta has reportedly hired AI researcher Trapit Bansal, who previously worked closely with OpenAI co-founder Ilya Sutskever on reinforcement learning and co-created the o1 reasoning model.

Bansal joins Meta’s ambitious superintelligence team, which is focused on further pushing AI reasoning capabilities.

Former Scale AI CEO Alexandr Wang leads the new team, brought in after Meta invested $14.3 billion in the AI data labelling company.

Alongside Bansal, several other notable figures have recently joined, including three OpenAI researchers from Zurich, a former Google DeepMind expert, Jack Rae, and a senior machine learning lead from Sesame AI.

Meta CEO Mark Zuckerberg is accelerating AI recruitment by negotiating with prominent names like former GitHub CEO Nat Friedman and Safe Superintelligence co-founder Daniel Gross.

Despite these aggressive efforts, OpenAI CEO Sam Altman revealed that even $100 million joining bonuses have failed to lure key staff away from his firm.

Zuckerberg has also explored acquiring startups such as Sutskever’s Safe SuperIntelligence and Perplexity AI, further highlighting Meta’s urgency in catching up in the generative AI race.

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