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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The UK’s National Cyber Security Centre has released version 4.0 of its Cyber Assessment Framework to help organisations protect essential services from rising cyber threats.
An updated CAF that provides a structured approach for assessing and improving cybersecurity and resilience across critical sectors.
Version 4.0 introduces a deeper focus on attacker methods and motivations to inform risk decisions, ensures software in essential services is developed and maintained securely, and strengthens guidance on threat detection through security monitoring and threat hunting.
AI-related cyber risks are also now covered more thoroughly throughout the framework.
The CAF primarily supports energy, healthcare, transport, digital infrastructure, and government organisations, helping them meet regulatory obligations such as the NIS Regulations.
Developed in consultation with UK cyber regulators, the framework provides clear benchmarks for assessing security outcomes relative to threat levels.
Authorities encourage system owners to adopt CAF 4.0 alongside complementary tools such as Cyber Essentials, the Cyber Resilience Audit, and Cyber Adversary Simulation services. These combined measures enhance confidence and resilience across the nation’s critical infrastructure.
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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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The US Federal Trade Commission has launched an inquiry into AI chatbots that act as digital companions, raising concerns about their impact on children and teenagers.
Seven firms, including Alphabet, Meta, OpenAI and Snap, have been asked to provide information about how they address risks linked to ΑΙ chatbots designed to mimic human relationships.
Chairman Andrew Ferguson said protecting children online was a top priority, stressing the need to balance safety with maintaining US leadership in AI. Regulators fear minors may be particularly vulnerable to forming emotional bonds with AI chatbots that simulate friendship and empathy.
An inquiry that will investigate how companies develop AI chatbot personalities, monetise user interactions and enforce age restrictions. It will also assess how personal information from conversations is handled and whether privacy laws are being respected.
Other companies receiving orders include Character.AI and Elon Musk’s xAI.
The probe follows growing public concern over the psychological effects of generative AI on young people.
Last month, the parents of a 16-year-old who died by suicide sued OpenAI, alleging ChatGPT provided harmful instructions. The company later pledged corrective measures, admitting its chatbot does not always recommend mental health support during prolonged conversations.
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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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Vietnam’s National Credit Information Centre (CIC), a key financial data hub under the State Bank of Vietnam, confirmed a cybersecurity attack, according to the Vietnam Cyber Emergency Response Centre (VNCERT). Initial investigations suggest the attack was a deliberate attempt by cybercriminals to steal personal data.
VNCERT reported signs of unauthorized data access and potential leaks of sensitive information. The Department of Cybersecurity and High-Tech Crime Prevention has tasked VNCERT with leading the incident response and coordinating with major cybersecurity firms, including Viettel, VNPT, and NCS.
Authorities have deployed technical measures to contain the breach, assess its scope, and preserve the integrity of the national financial system. Evidence is being gathered for possible legal proceedings, while the full extent of compromised data remains under investigation.
VNCERT has warned individuals and organisations not to download, share, or exploit any leaked data, citing Vietnam’s data protection laws. Government agencies and financial institutions have been urged to audit their systems and comply with national cybersecurity standards.
Cybersecurity expert Ngô Minh Hiếu noted that critical banking data, such as passwords and credit card numbers, is not stored in CIC, suggesting financial transactions remain unaffected.
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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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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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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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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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