Capacity development

OpenAI moves to for-profit with Microsoft deal

Microsoft and OpenAI have agreed to new non-binding terms that will allow OpenAI to restructure into a for-profit company, marking a significant shift in their long-standing partnership.

The agreement sets the stage for OpenAI to raise capital, pursue additional cloud partnerships, and eventually go public, while Microsoft retains access to its technology.

The previous deal gave Microsoft exclusive rights to sell OpenAI tools via Azure and made it the primary provider of compute power. OpenAI has since expanded its options, including a $300 billion cloud deal with Oracle and an agreement with Google, allowing it to develop its own data centre project, Stargate.

OpenAI aims to maintain its nonprofit arm, which will receive more than $100 billion from the projected $500 billion private market valuation.

Regulatory approval from the attorneys general of California and Delaware is required for the new structure, with OpenAI targeting completion by the end of the year to secure key funding.

Both companies continue to compete across AI products, from consumer chatbots to business tools, while Microsoft works on building its own AI models to reduce reliance on OpenAI technology.

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Qwen3-Next strengthens Alibaba’s position in global AI race

Alibaba has open-sourced its latest AI model, Qwen3-Next, claiming it is ten times more powerful and cheaper to train than its predecessor.

Developed by Alibaba Cloud, the 80-billion-parameter model reportedly performs on par with the company’s flagship Qwen3-235B-A22B while remaining optimised for deployment on consumer-grade hardware.

Qwen3-Next introduces innovations such as hybrid attention for long text processing, high-sparsity mixture-of-experts architecture, and multi-token prediction strategies. These upgrades boost both efficiency and model stability during training.

Alibaba also released Qwen3-Next-80B-A3B-Thinking, a reasoning-focused model that outperformed its own Qwen3-32B-Thinking and Google’s Gemini-2.5-Flash-Thinking in benchmark tests.

The release strengthens Alibaba’s position as a major player in open-source AI, following last week’s preview of its 1-trillion-parameter Qwen-3-Max model, which ranked sixth on UC Berkeley’s LMArena leaderboard.

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Japan plans first national AI strategy

Japan is preparing its first national AI basic plan to boost AI adoption in public institutions and beyond. The draft sets out four core policies to balance innovation with risk management, with final Cabinet approval expected later this year.

The plan targets low AI usage rates in the country, around 20% for individuals and 50% for corporations. Policies include accelerating AI adoption, strengthening development capacity, leading in AI governance, and fostering continuous social transformation toward an AI-integrated society.

Government bodies and municipalities are expected to lead by example, improving efficiency and enhancing defence capabilities.

High-quality data, a key factor in AI accuracy, is a national strength. The plan stresses the importance of human-AI collaboration, calls for robust copyright and liability frameworks, and identifies risks such as errors, disinformation, and threats to national security.

Authorities plan thorough investigations of rights infringements and aim to help shape international AI rules.

The draft will be presented at the AI strategy headquarters meeting, chaired by Prime Minister Shigeru Ishiba, before being refined by an expert panel and finalised within the year.

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Bank of Russia plans crypto derivatives access for funds

The Bank of Russia plans to allow investment funds to purchase cryptocurrency derivatives next year, a senior official confirmed at the Capital Markets 2025 forum. Currently, only brokers can offer such instruments to qualified investors.

Deputy head of the bank’s Investment Finance Intermediation Department, Valery Krasinsky, explained that the move aims to level the playing field for management companies. Futures on Bitcoin ETFs are available via brokers, and mutual funds could soon access them under new rules.

Access to crypto funds will remain limited to highly qualified investors. Individuals must meet strict financial thresholds, including securities and deposits exceeding 100 million rubles or an annual income of over 50 million.

The CBR is also finalising a list of base assets for derivative financial instruments, with a draft regulatory act expected in 2026.

Authorities have indicated a cautious expansion of investor access. The Ministry of Finance is considering easing the criteria for ‘highly qualified’ investors, signalling a gradual opening of Russia’s crypto market while preserving the dominance of traditional stock and bond investments.

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Nurabot to assist nurses with routine tasks

Global health care faces a severe shortage of workers, with WHO projecting a deficit of 4.5 million nurses by 2030. Around one-third of nurses already experience burnout, and high turnover rates exacerbate staffing pressures.

Foxconn’s new AI-powered nursing robot, Nurabot, is designed to assist with repetitive and physically demanding tasks, potentially reducing nurses’ workload by up to 30%.

Nurabot moves autonomously around hospital wards, delivers medication, and guides patients, using a combination of Foxconn’s Chinese large language model and NVIDIA’s AI platforms.

Built with Kawasaki Heavy Industries, the robot was adapted and trained virtually to navigate hospital wards safely. Testing at Taichung Veterans General Hospital since April 2025 has shown promising results, with Foxconn planning a commercial launch in early 2026.

The ageing population and rising patient demand are straining health care systems worldwide. Experts say AI robots can boost efficiency and save the workforce, but issues remain, including patient preference, hospital design, safety, and data ethics.

Hospitals may need redesigns to accommodate free-moving humanoid robots effectively.

While robots like Nurabot cannot replace nurses, they can support staff by handling routine tasks and freeing professionals to provide critical patient care. The smart hospital market, worth $72.24 billion in 2025, shows rising investment in AI and robotics to address staff shortages and ageing populations.

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Egypt launches AI readiness report with EU support

Egypt has released its first AI Readiness Assessment Report, developed by the Ministry of Communications and Information Technology with UNESCO Cairo and supported by the EU funding.

The report reviews Egypt’s legal, policy, institutional and technical environment, highlighting the strengths and gaps in the country’s digital transformation journey. It emphasises ensuring that AI development is human-centred and responsibly governed.

EU officials praised Egypt’s growing leadership in ethical AI governance and reiterated their support for an inclusive digital transition. Cooperation between Egypt and the EU is expected to deepen in digital policy and capacity-building areas.

The assessment aims to guide future investments and reforms, ensuring that AI strengthens sustainable development and benefits all segments of Egyptian society.

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AI smart glasses give blind users new independence

Smart glasses powered by AI give people with vision loss new ways to navigate daily life, from cooking to crossing the street.

Users like Andrew Tutty in Ontario say the devices restore independence, helping with tasks such as identifying food or matching clothes. Others, like Emilee Schevers, rely on them to confirm traffic signals before crossing the road.

The AI glasses, developed by Meta, are cheaper than many other assistive devices, which can cost thousands. They connect to smartphones, using voice commands and apps like Be My Eyes to describe surroundings or link with volunteers.

Experts, however, caution that the glasses come with significant privacy concerns. Built-in cameras stream everything within view to large tech firms, raising questions about surveillance, data use and algorithmic reliability.

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AI and cyber priorities headline massive US defence budget bill

The US House of Representatives has passed an $848 billion defence policy bill with new provisions for cybersecurity and AI. Lawmakers voted 231 to 196 to approve the chamber’s version of the National Defence Authorisation Act (NDAA).

The bill mandates that the National Security Agency brief Congress on plans for its Cybersecurity Coordination Centre and requires annual reports from combatant commands on the levels of support provided by US Cyber Command.

It also calls for a software bill of materials for AI-enabled technology that the Department of Defence uses. The Pentagon will be authorised to create up to 12 generative AI projects to improve cybersecurity and intelligence operations.

An adopted amendment allows the NSA to share threat intelligence with the private sector to protect US telecommunications networks. Another requirement is that the Pentagon study the National Guard’s role in cyber response at the federal and state levels.

Proposals to renew the Cybersecurity Information Sharing Act and the State and Local Cybersecurity Grant Program were excluded from the final text. The Senate is expected to approve its version of the NDAA next week.

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CoreWeave scales rapidly to meet AI growth

Nvidia-backed CoreWeave says peak AI investment is still far off, as demand for compute capacity from OpenAI, hyperscalers, enterprises, and governments continues to surge. CEO Michael Intrator said CoreWeave is rapidly scaling to meet soaring global GPU demand.

CoreWeave shares have fallen around 20% despite strong market interest over the past month. The decline follows a higher-than-expected Q2 net loss, $1 billion in capital expenditure, and a projected $500 million this quarter, raising debt concerns.

Since the IPO lockup expiry, insider stock sales have added to the downward pressure.

Intrator defended the company’s strategy, describing debt as the most efficient way to fund growth. Analysts warn CoreWeave shares could stay volatile, though strong AI infrastructure demand supports long-term optimism.

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BingX introduces world’s first AI-powered crypto trading tool

BingX, a leading cryptocurrency exchange and Web3 AI company, has unveiled BingX AI Master, the world’s first AI-powered crypto trading strategist. The tool makes trading more innovative and more accessible, using AI optimisation with strategies from five leading digital investors.

BingX AI Master guides users through the entire trading process, from generating ideas to executing trades and reviewing results. Key features include 24/7 strategy ideas, instant alerts, AI backtesting, dynamic orders, and transparent performance reviews.

BingX has introduced a trading competition with a 3,000,000 USDT prize pool to mark the launch. Users can compete directly against BingX AI Master, with additional rewards from task-based lucky draws, trading volume contests, and the AI 1v1 Arena.

Founded in 2018, BingX serves over 20 million users worldwide and offers a full suite of AI-driven trading tools. The company expands its AI portfolio with BingX AI Master and AI Bingo, reinforcing its role in AI-driven crypto trading.

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