Generative AI music takes ethical turn with Beatoven.ai’s Maestro launch

Beatoven.ai has launched Maestro, a generative AI model for instrumental music that will later expand to vocals and sound effects. The company claims it is the first fully licensed AI model, ensuring royalties for artists and rights holders.

Trained on licensed datasets from partners such as Rightsify and Symphonic Music, Maestro avoids scraping issues and guarantees attribution. Beatoven.ai, with two million users and 15 million tracks generated, says Maestro can be fine-tuned for new genres.

The platform also includes tools for catalogue owners, allowing labels and publishers to analyse music, generate metadata, and enhance back-catalogue discovery. CEO Mansoor Rahimat Khan said Maestro builds an ‘AI-powered music ecosystem’ designed to push creativity forward rather than mimic it.

Industry figures praised the approach. Ed Newton-Rex of Fairly Trained said Maestro proves AI can be ethical, while Musical AI’s Sean Power called it a fair licensing model. Beatoven.ai also plans to expand its API into gaming, film, and virtual production.

The launch highlights the wider debate over licensing versus scraping. Scraping often exploits copyrighted works without payment, while licensed datasets ensure royalties, higher-quality outputs, and long-term trust. Advocates argue that licensing offers a more sustainable and fairer path for GenAI music.

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Publishers set to earn from Comet Plus, Perplexity’s new initiative

Perplexity has announced Comet Plus, a new service that will pay premium publishers to provide high-quality news content as an alternative to clickbait. The company has not disclosed its roster of partners or payment structure, though reports suggest a pool of $42.5 million.

Publishers have long criticised AI services for exploiting their work without compensation. Perplexity, backed by Amazon’s Jeff Bezos, said Comet Plus will create a fairer system and reward journalists for producing trusted content in the era of AI.

The platform introduces a revenue model based on three streams: human visits, search citations, and agent actions. Perplexity argues this approach better reflects how people consume information today, whether by browsing manually, seeking AI-generated answers, or using AI agents.

The company stated that the initiative aims to rebuild trust between readers and publishers, while ensuring that journalism thrives in a changing digital economy. The initial group of publishing partners will be revealed later.

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Netflix limits AI use in productions with new rules

Netflix has issued detailed guidance for production companies on the approved use of generative AI. The guidelines allow AI tools for early ideation tasks such as moodboards or reference images, but stricter oversight applies beyond that stage.

The company outlined five guiding principles. These include ensuring generated content does not replicate copyrighted works, maintaining security of inputs, avoiding use of AI in final deliverables, and prohibiting storage or reuse of production data by AI tools.

Enterprises or vendors working on Netflix content must pass the platform’s AI compliance checks at every stage.

Netflix has already used AI to reduce VFX costs on projects like The Eternaut, but has moved to formalise boundaries around how and when the technology is applied.

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Meta teams up with Midjourney for AI video and image tools

Meta has confirmed a new partnership with Midjourney to license its AI image and video generation technology. The collaboration, announced by Meta Chief AI Officer Alexandr Wang, will see Meta integrate Midjourney’s tools into upcoming models and products.

Midjourney will remain independent following the deal. CEO David Holz said the startup, which has never taken external investment, will continue operating on its own. The company launched its first video model earlier this year and has grown rapidly, reportedly reaching $200 million in revenue by 2023.

Midjourney is currently being sued by Disney and Universal for alleged copyright infringement in AI training data. Meta faces similar challenges, although courts have often sided with tech firms in recent decisions.

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Musicians report surge in AI fakes appearing on Spotify and iTunes

Folk singer Emily Portman has become the latest artist targeted by fraudsters releasing AI-generated music in her name. Fans alerted her to a fake album called Orca appearing on Spotify and iTunes, which she said sounded uncannily like her style but was created without her consent.

Portman has filed copyright complaints, but says the platforms were slow to act, and she has yet to regain control of her Spotify profile. Other artists, including Josh Kaufman, Jeff Tweedy, Father John Misty, Sam Beam, Teddy Thompson, and Jakob Dylan, have faced similar cases in recent weeks.

Many of the fake releases appear to originate from the same source, using similar AI artwork and citing record labels with Indonesian names. The tracks are often credited to the same songwriter, Zyan Maliq Mahardika, whose name also appears on imitations of artists in other genres.

Industry analysts say streaming platforms and distributors are struggling to keep pace with AI-driven fraud. Tatiana Cirisano of Midia Research noted that fraudsters exploit passive listeners to generate streaming revenue, while services themselves are turning to AI and machine learning to detect impostors.

Observers warn the issue is likely to worsen before it improves, drawing comparisons to the early days of online piracy. Artists and rights holders may face further challenges as law enforcement attempts to catch up with the evolving abuse of AI.

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Nexon investigates AI-generated TikTok ads for The First Descendant

Nexon launched an investigation after players spotted several suspicious adverts for The First Descendant on TikTok that appeared to have been generated by AI.

One advertisement allegedly used a content creator’s likeness without permission, sparking concerns about the misuse of digital identities.

The company issued a statement acknowledging ‘irregularities’ in its TikTok Creative Challenge, a campaign that lets creators voluntarily submit content for advertising.

While Nexon confirmed that all videos had been verified through TikTok’s system, it admitted that some submissions may have been produced in inappropriate circumstances.

Nexon apologised for the delay in informing players, saying the review took longer than expected. It confirmed that a joint investigation with TikTok is underway to determine what happened, and it was promised that updates would be provided once the process is complete.

The developer has not yet addressed the allegation from creator DanieltheDemon, who claims his likeness was used without consent.

The controversy has added to ongoing debates about AI’s role in advertising and protecting creators’ rights.

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The dark side of AI: Seven fears that won’t go away

AI has been hailed as the most transformative technology of our age, but with that power comes unease. From replacing jobs to spreading lies online, the risks attached to AI are no longer abstract; they are already reshaping lives. While governments and tech leaders promise safeguards, uncertainty fuels public anxiety.

Perhaps the most immediate concern is employment. Machines are proving cheaper and faster than humans in the software development and graphic design industries. Talk of a future “post-scarcity” economy, where robot labour frees people from work, remains speculative. Workers see only lost opportunities now, while policymakers struggle to offer coordinated solutions.

Environmental costs are another hidden consequence. Training large AI models demands enormous data centres that consume vast amounts of electricity and water. Critics argue that supposed future efficiencies cannot justify today’s pollution, which sometimes rivals small nations’ carbon footprint.

Privacy fears are also escalating. AI-driven surveillance—from facial recognition in public spaces to workplace monitoring—raises questions about whether personal freedom will survive in an era of constant observation. Many fear that “smart” devices and cameras may soon leave nowhere to hide.

Then there is the spectre of weaponisation. AI is already integrated into warfare, with autonomous drones and robotic systems assisting soldiers. While fully self-governing lethal machines are not yet in use, military experts warn that it is only a matter of time before battlefields become dominated by algorithmic decision-makers.

Artists and writers, meanwhile, worry about intellectual property theft. AI systems trained on creative works without permission or payment have sparked lawsuits and protests, leaving cultural workers feeling exploited by tech giants eager for training data.

Misinformation represents another urgent risk. Deepfakes and AI-generated propaganda are flooding social media, eroding trust in institutions and amplifying extremist views. The danger lies not only in falsehoods themselves but in the echo chambers algorithms create, where users are pushed toward ever more radical beliefs.

And hovering above it all is the fear of runaway AI. Although science fiction often exaggerates this threat, researchers take seriously the possibility of systems evolving in ways we cannot predict or control. Calls for global safeguards and transparency have grown louder, yet solutions remain elusive.

In the end, fear alone cannot guide us. Addressing these risks requires not just caution but decisive governance and ethical frameworks. Only then can humanity hope to steer AI toward progress rather than peril.

Source: Forbes

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Musk threatens legal action against Apple over AI App rankings

Elon Musk has announced plans to sue Apple, accusing the company of unfairly favouring OpenAI’s ChatGPT over his xAI app Grok on the App Store.

Musk claims that Apple’s ranking practices make it impossible for any AI app except OpenAI’s to reach the top spot, calling this behaviour an ‘unequivocal antitrust violation’. ChatGPT holds the number one position on Apple’s App Store, while Grok ranks fifth.

Musk expressed frustration on social media, questioning why his X app, which he describes as ‘the number one news app in the world,’ has not received higher placement. He suggested that Apple’s ranking decisions might be politically motivated.

The dispute highlights growing tensions as AI companies compete for prominence on major platforms.

Apple and Musk’s xAI have not responded yet to requests for comment.

The controversy unfolds amid increasing scrutiny of App Store policies and their impact on competition, especially within the fast-evolving AI sector.

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Fintiv accuses Apple for allegedy stealing its trade secrets

US Texas-based company Fintiv, which provides mobile financial services, has filed a legal complaint against Apple, alleging that it stole trade secrets from its predecessor, CorFire, to develop Apple Pay.

The complaint claims that Apple employees held several meetings with CorFire to discuss the implementation of CorFire’s mobile wallet solutions and that CorFire had uploaded proprietary information to a shared site maintained by Apple.

According to the lawsuit, the two companies signed a non-disclosure agreement (NDA), giving Apple access to CorFire’s confidential information, which Apple allegedly misappropriated after abandoning plans for a partnership.

According to the IPWatchdog, Fintiv has been involved in ongoing litigation over its mobile wallet patents. Recently, it lost two key appeals: one against PayPal, which upheld the dismissal of its patent infringement claims, and another against Apple, in which the court confirmed specific patent claims were invalid.

However, in May, Fintiv secured a partial victory when the Federal Circuit reversed a lower court’s ruling that Apple did not infringe one of its patents (US Patent No. 8,843,125), allowing that part of the case to proceed. Apple had not commented publicly as of the article’s publication.

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Riverlane deploys Deltaflow 2 QEC in first UK commercial quantum integration

Riverlane has deployed its Deltaflow 2 quantum error correction (QEC) technology in a UK commercial quantum setting for the first time. The system introduces streaming quantum memory, enabling real-time error correction fast enough to preserve data across thousands of operations.

Deltaflow 2 combines a custom QEC chip with FPGA hardware and Riverlane’s software stack, supporting superconducting, spin, trapped-ion, and neutral-atom qubit platforms. It has been integrated with high-performance classical systems and a digital twin for noise simulation and monitoring.

Control hardware from Qblox delivers high-fidelity readout and ultra-low-latency links to enable real-time QEC. The deployment will validate error correction routines and benchmark system performance, forming the basis for future integration with OQC’s superconducting qubits.

The project is part of the UK Government-funded DECIDE programme, which aims to strengthen national capability in quantum error correction. Riverlane and OQC plan to demonstrate live QEC during quantum operations, supporting the creation of logical qubits for scalable systems.

Riverlane is also partnering with Infleqtion, Rigetti Computing, and others through the UK’s National Quantum Computing Centre. The company says growing industry demand reflects QEC’s shift from research to deployment, positioning Deltaflow 2 as a commercially viable, universally compatible tool.

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