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Lehane backs OpenAI’s Australia presence as AI copyright debate heats up

OpenAI signalled a break with Australia’s tech lobby on copyright, with global affairs chief Chris Lehane telling SXSW Sydney the company’s models are ‘going to be in Australia, one way or the other’, regardless of reforms or data-mining exemptions.

Lehane framed two global approaches: US-style fair use that enables ‘frontier’ AI, versus a tighter, historical copyright that narrows scope, saying OpenAI will work under either regime. Asked if Australia risked losing datacentres without loser laws, he replied ‘No’.

Pressed on launching and monetising Sora 2 before copyright issues are settled, Lehane argued innovation precedes adaptation and said OpenAI aims to ‘benefit everyone’. The company paused videos featuring Martin Luther King Jr.’s likeness after family complaints.

Lehane described the US-China AI rivalry as a ‘very real competition’ over values, predicting that one ecosystem will become the default. He said US-led frontier models would reflect democratic norms, while China’s would ‘probably’ align with autocratic ones.

To sustain a ‘democratic lead’, Lehane said allies must add gigawatt-scale power capacity each week to build AI infrastructure. He called Australia uniquely positioned, citing high AI usage, a 30,000-strong developer base, fibre links to Asia, Five Eyes membership, and fast-growing renewables.

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AI Infrastructure Partnership and BlackRock consortium acquire Aligned Data Centers

A consortium comprising the Artificial Intelligence Infrastructure Partnership, MGX, and BlackRock’s Global Infrastructure Partners has announced the acquisition of Aligned Data Centers for an estimated forty billion dollars.

The move marks a major step towards expanding the infrastructure underpinning global AI and cloud growth.

Aligned, headquartered in Dallas, operates more than fifty campuses and five gigawatts of capacity across the US and Latin America. The company is known for its patented air, liquid, and hybrid cooling systems that enhance efficiency and sustainability, particularly in high-density AI environments.

Under the consortium, Aligned will accelerate the development of scalable and energy-efficient data facilities to meet rising global demand.

The Artificial Intelligence Infrastructure Partnership was founded by BlackRock, GIP, MGX, Microsoft, and NVIDIA to advance large-scale AI infrastructure investment.

Backed by sovereign wealth funds from Kuwait and Singapore, it aims to mobilise thirty billion dollars in equity and up to one hundred billion, including debt.

The Aligned acquisition represents its first major investment and positions the company as a cornerstone of the group’s strategy.

Executives from BlackRock, MGX, and GIP said the deal reflects a shared commitment to building sustainable, resilient infrastructure for the AI era.

Aligned CEO Andrew Schaap added that the partnership would strengthen the company’s global reach and innovation capacity, redefining standards for digital infrastructure in an increasingly AI-driven economy.

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Adaptive optics meets AI for cellular-scale eye care

AI is moving from lab demos to frontline eye care, with clinicians using algorithms alongside routine fundus photos to spot disease before symptoms appear. The aim is simple: catch diabetic retinopathy early enough to prevent avoidable vision loss and speed referrals for treatment.

New imaging workflows pair adaptive optics with machine learning to shrink scan times from hours to minutes while preserving single-cell detail. At the US National Eye Institute, models recover retinal pigment epithelium features and clean noisy OCT data to make standard scans more informative.

Duke University’s open-source DCAOSLO goes further by combining multiplexed light signals with AI to capture cellular-scale images quickly. The approach eases patient strain and raises the odds of getting diagnostic-quality data in busy clinics.

Clinic-ready diagnostics are already changing triage. LumineticsCore, the first FDA-cleared AI to detect more-than-mild diabetic retinopathy from primary-care images, flags who needs urgent referral in seconds, enabling earlier laser or pharmacologic therapy.

Researchers also see the retina as a window on wider health, linking vascular and choroidal biomarkers to diabetes, hypertension and cardiovascular risk. Standardised AI tools promise more reproducible reads, support for trials and, ultimately, home-based monitoring that extends specialist insight beyond the clinic.

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Capita hit with £14 million fine after major data breach

The UK outsourcing firm Capita has been fined £14 million after a cyber-attack exposed the personal data of 6.6 million people. Sensitive information, including financial details, home addresses, passport images, and criminal records, was compromised.

Initially, the fine was £45 million, but it was reduced after Capita improved its cybersecurity, supported affected individuals, and engaged with regulators.

A breach that affected 325 of the 600 pension schemes Capita manages, highlighting risks for organisations handling large-scale sensitive data.

The Information Commissioner’s Office (ICO) criticised Capita for failing to secure personal information, emphasising that proper security measures could have prevented the incident.

Experts note that holding companies financially accountable reinforces the importance of data protection and sends a message to the market.

Capita’s CEO said the company has strengthened its cyber defences and remains vigilant to prevent future breaches.

The UK government has advised companies like Capita to prepare contingency plans following a rise in nationally significant cyberattacks, a trend also seen at Co-op, M&S, Harrods, and Jaguar Land Rover earlier in the year.

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Microsoft to support UAE investment analytics with responsible AI tools

The UAE Ministry of Investment and Microsoft signed a Memorandum of Understanding at GITEX Global 2025 to apply AI to investment analytics, financial forecasting, and retail optimisation. The deal aims to strengthen data governance across the investment ecosystem.

Under the MoU, Microsoft will support upskilling through its AI National Skilling Initiative, targeting 100,000 government employees. Training will focus on practical adoption, responsible use, and measurable outcomes, in line with the UAE’s National AI Strategy 2031.

Both parties will promote best practices in data management using Azure services such as Data Catalog and Purview. Workshops and knowledge-sharing sessions with local experts will standardise governance. Strong controls are positioned as the foundation for trustworthy AI at scale.

The agreement was signed by His Excellency Mohammad Alhawi and Amr Kamel. Officials say the collaboration will embed AI agents into workflows while maintaining compliance. Investment teams are expected to gain real-time insights and automation that shorten the time to action.

The partnership supports the ambition to make the UAE a leader in AI-enabled investment. It also signals deeper public–private collaboration on sovereign capabilities. With skills, standards, and use cases in place, the ministry aims to attract capital and accelerate diversification.

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Agentic AI at scale with Salesforce and AWS

Salesforce and AWS outlined a tighter partnership on agentic AI, citing rapid growth in enterprise agents and usage. They set four pillars for the ‘Agentic Enterprise’: unified data, interoperable agents, modernised contact centres and streamlined procurement via AWS Marketplace.

Data 360 ‘Zero Copy’ accesses Amazon Redshift without duplication, while Data 360 Clean Rooms integrate with AWS Clean Rooms for privacy-preserving collaboration. 1-800Accountant reports agents resolving most routine inquiries so human experts focus on higher-value work.

Agentforce supports open standards such as Model Context Protocol and Agent2Agent to coordinate multi-vendor agents. Pilots link Bedrock-based agents and Slack integrations that surface Quick Suite tools, with Anthropic and Amazon Nova models available inside Salesforce’s trust boundary.

Contact centres extend agentic workflows through Salesforce Contact Center with Amazon Connect, adding voice self-service plus real-time transcription and sentiment. Complex issues hand off to representatives with full context, and Toyota Motor North America plans automation for service tasks.

Procurement scales via AWS Marketplace, where Salesforce surpassed $2bn in lifetime sales across 30 countries. AgentExchange listings provide prebuilt, customisable agents and workflows, helping enterprises adopt agentic AI faster with governance and security intact.

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New Cisco study shows most companies aren’t AI-ready

Most firms are still struggling to turn AI pilots into measurable value, Cisco’s 2025 AI Readiness Index finds. Only 13% are ‘AI-ready’, having scaled deployments with results. The rest face gaps in data, security and governance.

Southeast Asia outperforms the global average at 16% ready. Indonesia reaches 23% and Thailand 21%, ahead of Europe at 11% and the Americas at 14%. Cisco says lower tech debt helps some emerging markets leapfrog.

Infrastructure debt is mounting: limited GPU capacity, fragmented data and constrained networks slow progress. Just 34% say their tech stack can adapt and scale for evolving compute needs. Most remain stuck in pilots.

Adoption plans are ambitious: 83% intend to deploy AI agents, with almost 40% expecting them to support staff within a year. Yet only one in three have change-management programmes, risking stalled workplace integration.

The leaders pair strong digital foundations with clear governance and cybersecurity embedded by design. Cisco urges broader collaboration among industry, government and tech firms, arguing that trust, regulation and investment will determine who monetises AI first.

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Scaling a cell ‘language’ model yields new immunotherapy leads

Yale University and Google unveiled Cell2Sentence-Scale 27B, a 27-billion-parameter model built on Gemma to decode the ‘language’ of cells. The system generated a novel hypothesis about cancer cell behaviour, and CEO Sundar Pichai called it ‘an exciting milestone’ for AI in science.

The work targets a core problem in immunotherapy: many tumours are ‘cold’ and evade immune detection. Making them visible requires boosting antigen presentation. C2S-Scale sought a ‘conditional amplifier’ drug that boosts signals only in immune-context-positive settings.

Smaller models lacked the reasoning to solve the problem, but scaling to 27B parameters unlocked the capability. The team then simulated 4,000 drugs across patient samples. The model flagged context-specific boosters of antigen presentation, with 10–30% already known and the rest entirely novel.

Researchers emphasise that conditional amplification aims to raise immune signals only where key proteins are present. That could reduce off-target effects and make ‘cold’ tumours discoverable. The result hints at AI-guided routes to more precise cancer therapies.

Google has released C2S-Scale 27B on GitHub and Hugging Face for the community to explore. The approach blends large-scale language modelling with cell biology, signalling a new toolkit for hypothesis generation, drug prioritisation, and patient-relevant testing.

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Starcloud launches data centres into space

A new era in data technology is emerging as Starcloud, a member of NVIDIA’s Inception startup program, prepares to send its first AI-driven satellite into orbit next month.

The mission marks the debut of NVIDIA’s H100 GPU in space and represents a decisive step toward the creation of large-scale orbital data centres designed to meet the planet’s soaring demand for AI.

By operating data centres in space, Starcloud aims to cut energy costs by tenfold and significantly reduce carbon emissions. The vacuum of space will serve as a natural cooling system, while constant exposure to solar energy will eliminate the need for batteries or backup power.

According to CEO Philip Johnston, the only environmental cost will come from the launch itself, resulting in substantial carbon savings over the data centre’s lifetime.

Starcloud’s technology could transform how Earth observation data is processed. Instead of transmitting raw information back to the ground, satellites will analyse it in real time, improving responses to wildfires, weather changes, and agricultural needs.

The company plans to run Google’s open AI model Gemma on its satellite and eventually integrate NVIDIA’s next-generation Blackwell GPUs, boosting computing power even further.

Johnston predicts that within a decade, most new data centres will be built in orbit. If achieved, Starcloud’s innovation could mark the beginning of a sustainable digital revolution powered by the stars instead of the grid.

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Humanity AI launches $500M initiative to build a people-centred future

A coalition of ten leading philanthropic foundations has pledged $500 million over five years to ensure that AI evolves in ways that strengthen humanity rather than marginalise it.

The initiative, called Humanity AI, brings together organisations such as the Ford, MacArthur, Mellon, and Mozilla foundations to promote a people-driven vision for AI that enhances creativity, democracy, and security.

As AI increasingly shapes every aspect of daily life, the coalition seeks to place citizens at the centre of the conversation instead of leaving decisions to a few technology firms.

It plans to support new research, advocacy, and partnerships that safeguard democratic rights, protect creative ownership, and promote equitable access to education and employment.

The initiative also prioritises the ethical use of AI in safety and economic systems, ensuring innovation does not come at the expense of human welfare.

John Palfrey, president of the MacArthur Foundation, said Humanity AI aims to shift power back to the public by funding technologists and advocates committed to responsible innovation.

Michele Jawando of the Omidyar Network added that the future of AI should be designed by people collectively, not predetermined by algorithms or corporate agendas.

Rockefeller Philanthropy Advisors will oversee the fund, which begins issuing grants in 2026. Humanity AI invites additional partners to join in creating a future where people shape technology instead of being shaped by it.

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