Meta Platforms has unveiled V-JEPA 2, an open-source AI model designed to help machines understand and interact with the physical world more like humans do.
The technology allows AI agents, including delivery robots and autonomous vehicles, to observe object movement and predict how those objects may behave in response to actions.
The company explained that just as people intuitively understand that a ball tossed into the air will fall due to gravity, AI systems using V-JEPA 2 gain a similar ability to reason about cause and effect in the real world.
Trained using video data, the model recognises patterns in how humans and objects move and interact, helping machines learn to reach, grasp, and reposition items more naturally.
Meta described the tool as a step forward in building AI that can think ahead, plan actions and respond intelligently to dynamic environments. In lab tests, robots powered by V-JEPA 2 performed simple tasks that relied on spatial awareness and object handling.
The company, led by CEO Mark Zuckerberg, is ramping up its AI initiatives to compete with rivals like Microsoft, Google, and OpenAI. By improving machine reasoning through world models such as V-JEPA 2, Meta aims to accelerate its progress toward more advanced AI.
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Apple is rolling out Apple Intelligence, its generative AI platform, across popular apps including Messages, Mail, and Notes. Introduced in late 2024 and expanded in 2025, the platform blends text and image generation, redesigned Siri features, and integrations with ChatGPT.
The AI-enhanced Siri can now edit photos, summarise content, and interact across apps with contextual awareness. Writing tools offer grammar suggestions, tone adjustments, and content generation, while image tools allow for Genmoji creation and prompt-based visuals via the Image Playground app.
Unlike competitors, Apple uses on-device processing for many tasks, prioritising privacy. More complex queries are sent to its Private Cloud Compute system running on Apple Silicon, with a visible fallback if offline. Additional features like Visual Intelligence and Live Translation are expected later in 2025.
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Meta and TikTok have taken their fight against an the EU supervisory fee to Europe’s second-highest court, arguing that the charges are disproportionate and based on flawed calculations.
The fee, introduced under the Digital Services Act (DSA), requires major online platforms to pay 0.05% of their annual global net income to cover the European Commission’s oversight costs.
Meta questioned the Commission’s methodology, claiming the levy was based on the entire group’s revenue instead of the specific EU-based subsidiary.
The company’s lawyer told judges it still lacked clarity on how the fee was calculated, describing the process as opaque and inconsistent with the spirit of the law.
TikTok also criticised the charge, alleging inaccurate and discriminatory data inflated its payment.
Its legal team argued that user numbers were double-counted when people switched between devices. The Commission had wrongly calculated fees based on group profits rather than platform-specific earnings.
The Commission defended its approach, saying group resources should bear the cost when consolidated accounts are used. A ruling is expected from the General Court sometime next year.
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Orange Business and Toshiba Europe have launched France’s first commercial quantum-safe network service in Paris.
The Orange Quantum Defender, now living in the greater Paris region, aims to shield organisations from cyber threats posed by future quantum computing capabilities.
The service combines Toshiba’s Quantum Key Distribution and Post-Quantum Cryptography technologies to protect sensitive data with a multi-layered approach. A major French financial institution already uses the network to safeguard its critical infrastructure.
After years of testing, the partners confirmed the system works over existing fibre networks, cutting costs and easing enterprise adoption.
Leaders at both companies say the launch marks a turning point in cybersecurity preparedness for the quantum age.
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Two of Hollywood’s most powerful studios, Disney and Universal, have launched a copyright infringement lawsuit against the AI firm Midjourney, accusing it of illegally replicating iconic characters.
The studios claim the San Francisco-based company copied their creative works without permission, describing it as a ‘bottomless pit of plagiarism’.
Characters such as Darth Vader, Elsa, and the Minions were cited in the 143-page complaint, which alleges Midjourney used these images to train its AI system and generate similar content.
Disney and Universal argue that the AI firm failed to invest in the creative process, yet profited heavily from the output — reportedly earning $US300 million in paid subscriptions last year.
Despite early attempts by the studios to raise concerns and propose safeguards already adopted by other AI developers,
Midjourney allegedly ignored them and pressed ahead with further product releases. The company, which calls itself a small, self-funded team of 11, has declined to comment on the lawsuit directly but insists it has a long future ahead.
Disney’s legal chief, Horacio Gutierrez, stressed the importance of protecting creative works that result from decades of investment. While supporting AI as a tool for innovation, he maintained that ‘piracy is piracy’, regardless of whether humans or machines carry it out.
The studios are seeking damages and a court order to stop the AI firm from continuing its alleged copyright violations.
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Wikipedia has paused a controversial trial of AI-generated article summaries following intense backlash from its community of volunteer editors.
The Wikimedia Foundation had planned a two-week opt-in test for mobile users using summaries produced by Aya, an open-weight AI model developed by Cohere.
However, the reaction from editors was swift and overwhelmingly negative. The discussion page became flooded with objections, with contributors arguing that such summaries risked undermining the site’s reputation for neutrality and accuracy.
Some expressed concerns that inserting AI content would override Wikipedia’s long-standing collaborative approach by effectively installing a single, unverifiable voice atop articles.
Editors warned that AI-generated summaries lacked proper sourcing and could compromise the site’s credibility. Recent AI blunders by other tech giants, including Google’s glue-on-pizza mishap and Apple’s false death alert, were cited as cautionary examples of reputational risk.
For many, the possibility of similar errors appearing on Wikipedia was unacceptable.
Marshall Miller of the Wikimedia Foundation acknowledged the misstep in communication and confirmed the project’s suspension.
While the Foundation remains interested in exploring AI to improve accessibility, it has committed to ensuring any future implementation involves direct participation from the Wikipedia community.
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What began as a company powering 3D games in the 1990s has evolved into the backbone of the global AI revolution. Nvidia, once best known for its Riva TNT2 chips in consumer graphics cards like the Elsa Erazor III, now sits at the centre of scientific computing, defence, and national-scale innovation.
While gaming remains part of its identity—with record revenue of $3.8 billion in Q1 FY2026—it now accounts for less than 9% of Nvidia’s $44.1 billion total revenue. The company’s trajectory reflects its founder Jensen Huang’s ambition to lead beyond the gaming space, targeting AI, supercomputing, and global infrastructure.
Recent announcements reinforce this shift. Huang joined UK Prime Minister Sir Keir Starmer to open London Tech Week, affirming Nvidia’s commitment to launch an AI lab in the UK, as the government commits £1 billion to AI compute by 2030.
Nvidia also revealed its Rubin-Vera superchip will power Germany’s ‘Blue Lion’ supercomputer, and its Grace Hopper platform is at the heart of Jupiter—Europe’s first exascale AI system, located at the Jülich Supercomputing Centre.
Nvidia’s presence now spans continents and disciplines, from powering national research to driving breakthroughs in climate modelling, quantum computing, and structural biology.
‘AI will supercharge scientific discovery and industrial innovation,’ said Huang. And with systems like Jupiter poised to run a quintillion operations per second, the company’s growth story is far from over.
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Global R&D spending now exceeds $2 trillion a year, yet many companies still rely on intuition rather than evidence to shape innovation strategies—often at great cost.
TechNext, co-founded by Anuraag Singh and MIT’s Prof. Christopher L. Magee, aims to change that with a newly patented system that delivers data-driven forecasts for technology performance.
Built on large-scale empirical datasets and proprietary algorithms, the system enables organisations to anticipate which technologies are likely to improve most rapidly.
‘R&D has become one of the fastest-growing expenses for companies, yet most decisions still rely on intuition rather than data,’ said Singh. ‘We have been flying blind’
The tool has already drawn attention from major stakeholders, including the United States Air Force, multinational firms, VCs, and think tanks.
By quantifying the future of technologies—from autonomous vehicle perception systems to clean energy infrastructure—TechNext promises to help decision-makers avoid expensive dead ends and focus on long-term winners.
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The round was led by ClearSky, with backing from Phoenix Financial, Glilot Capital Partners, SentinelOne, Hanaco Ventures, and others, bringing the company’s total funding to $84 million in just over two years.
Since emerging from stealth in early 2023, Guardz has built a global presence, partnering with hundreds of MSPs to secure thousands of small and mid-sized businesses.
With the new capital, the company aims to accelerate go-to-market efforts and enhance its platform with more automation, compliance tools, and cyber insurance capabilities.
The Guardz platform integrates threat protection across identities, email, endpoints, cloud, and data into a single engine. Combining AI-driven automation with human-led Managed Detection and Response (MDR), it provides 24/7 monitoring and rapid response to threats.
Seamless integrations with Microsoft 365 and Google Workspace allow MSPs to pre-emptively detect suspicious activity and respond in real time.
‘Our goal is to empower MSPs with enterprise-grade security tools to protect the global economy’s most vulnerable targets — small and mid-sized businesses,’ said Guardz CEO and co-founder Dor Eisner. ‘This funding allows us to further that mission and help businesses thrive in a secure environment.’
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The UK government has unveiled new guidance for schools that promotes the use of AI to reduce teacher workloads and increase face-to-face time with pupils.
The Department for Education (DfE) says AI could take over time-consuming administrative tasks such as lesson planning, report writing, and email drafting—allowing educators to focus more on classroom teaching.
The guidance, aimed at schools and colleges in the UK, highlights how AI can assist with formative assessments like quizzes and low-stakes feedback, while stressing that teachers must verify outputs for accuracy and data safety.
It also recommends using only school-approved tools and limits AI use to tasks that support rather than replace teaching expertise.
Education unions welcomed the move but said investment is needed to make it work. Leaders from the NAHT and ASCL praised AI’s potential to ease pressure on staff and help address recruitment issues, but warned that schools require proper infrastructure and training.
Education Secretary Bridget Phillipson said the plan will free teachers to deliver more personalised support, adding: ‘We’re putting cutting-edge AI tools into the hands of our brilliant teachers to enhance how our children learn and develop.’
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