Future of work

NVIDIA expands open-source AI models to boost global innovation

The US tech giant, NVIDIA, has released open-source AI models and data tools across language, biology and robotics to accelerate innovation and expand access to cutting-edge research.

New model families, Nemotron, Cosmos, Isaac GR00T and Clara, are designed to empower developers to build intelligent agents and applications with enhanced reasoning and multimodal capabilities.

The company is contributing these open models and datasets to Hugging Face, further solidifying its position as a leading supporter of open research.

Nemotron models improve reasoning for digital AI agents, while Cosmos and Isaac GR00T enable physical AI and robotic systems to perform complex simulations and behaviours. Clara advances biomedical AI, allowing scientists to analyse RNA, generate 3D protein structures and enhance medical imaging.

Major industry partners, including Amazon Robotics, ServiceNow, Palantir and PayPal, are already integrating NVIDIA’s technologies to develop next-generation AI agents.

An initiative that reflects NVIDIA’s aim to create an open ecosystem that supports both enterprise and scientific innovation through accessible, transparent and responsible AI.

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Labels press platforms to curb AI slop and protect artists

Luke Temple woke to messages about a new Here We Go Magic track he never made. An AI-generated song appeared on the band’s Spotify, Tidal, and YouTube pages, triggering fresh worries about impersonation as cheap tools flood platforms.

Platforms say defences are improving. Spotify confirmed the removal of the fake track and highlighted new safeguards against impersonation, plus a tool to flag mismatched releases pre-launch. Tidal said it removed the song and is upgrading AI detection. YouTube did not comment.

Industry teams describe a cat-and-mouse race. Bad actors exploit third-party distributors with light verification, slipping AI pastiches into official pages. Tools like Suno and Udio enable rapid cloning, encouraging volume spam that targets dormant and lesser-known acts.

Per-track revenue losses are tiny, reputational damage is not. Artists warn that identity theft and fan confusion erode trust, especially when fakes sit beside legitimate catalogues or mimic deceased performers. Labels caution that volume is outpacing takedowns across major services.

Proposed fixes include stricter distributor onboarding, verified artist controls, watermark detection, and clear AI labels for listeners. Rights holders want faster escalation and penalties for repeat offenders. Musicians monitor profiles and report issues, yet argue platforms must shoulder the heavier lift.

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NVIDIA and Nokia join forces to build the AI platform for 6G

Nokia and NVIDIA have announced a $1 billion partnership to develop an AI-powered platform that will drive the transition from 5G to 6G networks.

The collaboration will create next-generation AI-RAN systems, combining computing, sensing and connectivity to transform how the US mobile networks process data and deliver services.

However, this partnership marks a strategic step in both companies’ ambition to regain global leadership in telecommunications.

By integrating NVIDIA’s new Aerial RAN Computer and Nokia’s AI-RAN software, operators can upgrade existing networks through software updates instead of complete infrastructure replacements.

T-Mobile US will begin field tests in 2026, supported by Dell’s PowerEdge servers.

NVIDIA’s investment and collaboration with Nokia aim to strengthen the foundation for AI-native networks that can handle the rising demand from agentic, generative and physical AI applications.

These networks are expected to support future 6G use cases, including drones, autonomous vehicles and advanced augmented reality systems.

Both companies see AI-RAN as the next evolution of wireless connectivity, uniting data processing and communication at the edge for greater performance, energy efficiency and innovation.

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Most Greeks have never used AI at work

A new Focus Bari survey shows that AI is still unfamiliar territory for most Greeks.

Although more than eight in ten have heard of AI, 68 percent say they have never used it professionally. The study highlights that Greece integrates AI into its workplace more slowly than many other countries.

The survey covered 21 nations and found that 83 percent of Greeks know about AI, compared with 17 percent who do not. Only 35 percent feel well-informed, while about one in three admits to knowing little about the technology.

Similar trends appear worldwide, with Switzerland, Mexico, and Romania leading in AI awareness, while countries like Nigeria, Japan, and Australia show limited familiarity.

Globally, almost half of respondents use AI in their everyday lives, yet only one in three applies it in their work. In Greece, that gap remains wide, suggesting that AI is still seen as a distant concept rather than a professional tool.

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Adobe Firefly expands with new AI tools for audio and video creation

Adobe has unveiled major updates to its Firefly creative AI studio, introducing advanced audio, video, and imaging tools at the Adobe MAX 2025 conference.

These new features include Generate Soundtrack for licensed music creation, Generate Speech for lifelike multilingual voiceovers, and a timeline-based video editor that integrates seamlessly with Firefly’s existing creative tools.

The company also launched the Firefly Image Model 5, which can produce photorealistic 4MP images with prompt-based editing. Firefly now includes partner models from Google, OpenAI, ElevenLabs, Topaz Labs, and others, bringing the industry’s top AI capabilities into one unified workspace.

Adobe also announced Firefly Custom Models, allowing users to train AI models to match their personal creative style.

In a preview of future developments, Adobe showcased Project Moonlight, a conversational AI assistant that connects across creative apps and social channels to help creators move from concept to content in minutes.

A system that can offer tailored suggestions and automate parts of the creative process while keeping creators in complete control.

Adobe emphasised that Firefly is designed to enhance human creativity rather than replace it, offering responsible AI tools that respect intellectual property rights.

With such a release, the company continues integrating generative AI across its ecosystem to simplify production and empower creators at every stage of their workflow.

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OpenAI and Microsoft sign new $135 billion agreement to deepen AI partnership

Microsoft and OpenAI have signed a new agreement that marks the next phase of their long-standing partnership, deepening ties first formed in 2019.

The updated deal builds on years of collaboration in advancing responsible AI, positioning both organisations for long-term success while introducing new structural and operational changes.

Under the new arrangement, Microsoft supports OpenAI’s transition into a public benefit corporation (PBC) and recapitalisation. The technology giant now holds an investment valued at around $135 billion, representing about 27 percent of OpenAI Group PBC on an as-converted diluted basis.

Despite OpenAI’s recent funding rounds, Microsoft previously held a 32.5 percent stake in the for-profit entity.

The partnership maintains Microsoft’s exclusive rights to OpenAI’s frontier models and Azure API until artificial general intelligence (AGI) is achieved, but also introduces several new terms. Once AGI is declared, an independent panel will verify it.

Microsoft’s intellectual property rights are extended through 2032, including models developed after AGI with safety conditions. OpenAI may now co-develop certain products with third parties, while retaining the option to serve non-API products on any cloud provider.

OpenAI will purchase an additional $250 billion worth of Azure services, although Microsoft will no longer hold first-refusal rights for compute supply. The new framework allows both organisations to innovate independently, with Microsoft permitted to pursue AGI independently or with other partners.

The updated agreement reflects a more flexible collaboration that balances independence, growth, and shared innovation.

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Yuan says AI ‘digital twins’ could trim meetings and the workweek

AI could shorten the workweek, says Zoom’s Eric Yuan. At TechCrunch Disrupt, he pitched AI ‘digital twins’ that attend meetings, negotiate drafts, and triage email, arguing assistants will shoulder routine tasks so humans focus on judgement.

Yuan has already used an AI avatar on an investor call to show how a stand-in can speak on your behalf. He said Zoom will keep investing heavily in assistants that understand context, prioritise messages, and draft responses.

Use cases extend beyond meetings. Yuan described counterparts sending their digital twins to hash out deal terms before principals join to resolve open issues, saving hours of live negotiation and accelerating consensus across teams and time zones.

Zoom plans to infuse AI across its suite, including whiteboards and collaborative docs, so work moves even when people are offline. Yuan said assistants will surface what matters, propose actions, and help execute routine workflows securely.

If adoption scales, Yuan sees schedules changing. He floated a five-year goal where many knowledge workers shift to three or four days a week, with AI increasing throughput, reducing meeting load, and improving focus time across organisations.

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Amazon plans up to 30,000 corporate job cuts as AI automation expands

Beginning Tuesday, Amazon plans to cut up to 30,000 corporate roles, nearly 10% of its white-collar workforce, to reduce costs after pandemic over-hiring.

Cuts may hit human resources, operations, devices and services, and Amazon Web Services. According to people familiar with the policy, the company has also tightened office-attendance rules; employees who are not swiping in daily have been told they are considered to have resigned without severance.

Analysts say AI-driven productivity gains and the need to fund long-term AI infrastructure are key factors behind the reductions in staff. Executives have indicated that greater use of automation and AI to handle routine tasks will drive further reductions.

Internal planning papers reported in US media suggest the company could avoid hiring more than 500,000 US workers by 2033, yielding around $12.6 billion in savings between 2025 and 2027.

The scale and timing of the layoffs could change as financial priorities evolve. Separately, Amazon still expects a busy holiday period and plans to hire 250,000 seasonal workers for warehouses and fulfilment roles unrelated to the corporate cuts.

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A generative AI model helps athletes avoid injuries and recover faster

Researchers at the University of California, San Diego, have developed a generative AI model designed to prevent sports injuries and assist rehabilitation.

The system, named BIGE (Biomechanics-informed GenAI for Exercise Science), integrates data on human motion with biomechanical constraints such as muscle force limits to create realistic training guidance.

BIGE can generate video demonstrations of optimal movements that athletes can imitate to enhance performance or avoid injury. It can also produce adaptive motions suited for athletes recovering from injuries, offering a personalised approach to rehabilitation.

The model merges generative AI with accurate modelling, overcoming limitations of previous systems that produced anatomically unrealistic results or required heavy computational resources.

To train BIGE, researchers used motion-capture data of athletes performing squats, converting them into 3D skeletal models with precise force calculations. The project’s next phase will expand to other types of movements and individualised training models.

Beyond sports, researchers suggest the tool could predict fall risks among the elderly. Professor Andrew McCulloch described the technology as ‘the future of exercise science’, while co-author Professor Rose Yu said its methods could be widely applied across healthcare and fitness.

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FDA and patent law create dual hurdles for AI-enabled medical technologies

AI reshapes healthcare by powering more precise and adaptive medical devices and diagnostic systems.

Yet, innovators face two significant challenges: navigating the US Food and Drug Administration’s evolving regulatory framework and overcoming legal uncertainty under US patent law.

These two systems, although interconnected, serve different goals. The FDA protects patients, while patent law rewards invention.

The FDA’s latest guidance seeks to adapt oversight for AI-enabled medical technologies that change over time. Its framework for predetermined change control plans allows developers to update AI models without resubmitting complete applications, provided updates stay within approved limits.

An approach that promotes innovation while maintaining transparency, bias control and post-market safety. By clarifying how adaptive AI devices can evolve safely, the FDA aims to balance accountability with progress.

Patent protection remains more complex. US courts continue to exclude non-human inventors, creating tension when AI contributes to discoveries.

Legal precedents such as Thaler vs Vidal and Alice Corp. vs CLS Bank limit patent eligibility for algorithms or diagnostic methods that resemble abstract ideas or natural laws. Companies must show human-led innovation and technical improvement beyond routine computation to secure patents.

Aligning regulatory and intellectual property strategies is now essential. Developers who engage regulators early, design flexible change control plans and coordinate patent claims with development timelines can reduce risk and accelerate market entry.

Integrating these processes helps ensure AI technologies in healthcare advance safely while preserving inventors’ rights and innovation incentives.

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