Spotify under fire for AI-generated songs on memorial artist pages

Spotify is facing criticism after AI-generated songs were uploaded to the pages of deceased artists without consent from estates or rights holders.

The latest case involves country singer-songwriter Blaze Foley, who died in 1989. A track titled ‘Together’ was posted to his official Spotify page over the weekend. The song sounded vaguely like a slow country ballad and was paired with AI-generated cover art showing a man who bore no resemblance to Foley.

Craig McDonald, whose label manages Foley’s catalogue, confirmed the track had nothing to do with the artist and described it as inauthentic and harmful. ‘I can clearly tell you that this song is not Blaze, not anywhere near Blaze’s style, at all,’ McDonald told 404 Media. ‘It has the authenticity of an algorithm.’

He criticised Spotify for failing to prevent such uploads and said the company had a duty to stop AI-generated music from appearing under real artists’ names.

‘It’s kind of surprising that Spotify doesn’t have a security fix for this type of action,’ he said. ‘They could fix this problem if they had the will to do so.’ Spotify said it had flagged the track to distributor SoundOn and removed it for violating its deceptive content policy.

However, other similar uploads have already emerged. The same company, Syntax Error, was linked to another AI-generated song titled ‘Happened To You’, uploaded last week under the name of Grammy-winning artist Guy Clark, who died in 2016.

Both tracks have since been removed, but Spotify has not explained how Syntax Error was able to post them using the names and likenesses of late musicians. The controversy is the latest in a wave of AI music incidents slipping through streaming platforms’ content checks.

Earlier this year, an AI-generated band called The Velvet Sundown amassed over a million Spotify streams before disclosing that all their vocals and instrumentals were made by AI.

Another high-profile case involved a fake Drake and The Weeknd collaboration, ‘Heart on My Sleeve’, which gained viral traction before being taken down by Universal Music Group.

Rights groups and artists have repeatedly warned about AI-generated content misrepresenting performers and undermining creative authenticity. As AI tools become more accessible, streaming platforms face mounting pressure to improve detection and approval processes to prevent further misuse.

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Alibaba’s Qwen3 upgrade beats OpenAI and DeepSeek on benchmarks

Alibaba has unveiled a significant update to its flagship open‑source Qwen3 family, spotlighting the Qwen3‑235B‑A22B‑Instruct‑2507‑FP8 model.

However, this revision delivers enhanced capabilities across multiple domains, such as instruction understanding, logical reasoning, text analysis, mathematics, science, coding, and tool integration, and pushes Qwen3 to the top of several key benchmarks.

The upgraded model scored 70.3 on the American Invitational Mathematics Exam in competitive metrics, well ahead of DeepSeek‑V3 (46.6) and OpenAI’s GPT‑4o (26.7).

In MultiPL‑E, which evaluates coding, it achieved 87.9, beating DeepSeek (82.2) and OpenAI (82.7), though Anthropic’s Claude Opus 4 edged ahead with 88.5.

A notable technical advancement is the eightfold increase in context capacity to 256k tokens, allowing it to process longer documents in non‑thinking mode.

The open‑source release on reputable platforms like HuggingFace and ModelScope reinforces Alibaba’s commitment to building a transparent, high‑performance AI ecosystem.

This update intensifies competition in China’s AI landscape, with Alibaba closing the benchmark gap versus Western leaders and rival Chinese startups such as DeepSeek, whose upgraded R1‑0528 has reportedly matched Qwen3 in some reasoning tasks.

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Smart tab management comes to Firefox with local AI

Mozilla released Firefox 141, bringing a smart upgrade to tab management with local AI-powered grouping. Users can right-click a tab group and select ‘Suggest more tabs for group.’ Firefox will automatically identify similar tabs based on titles and descriptions.

The AI runs fully on-device, ensuring privacy and allowing users to accept or reject suggested tabs.

This feature complements other improvements in this release: Firefox now uses less memory on Linux, avoids forced restarts after updates, offers unit conversions directly in the address bar, and lets users resize the bottom tools panel in vertical tab mode.

It also boosts Picture-in-Picture support for more streaming services and enables WebGPU on Windows by default. These updates collectively enhance both performance and usability for power users.

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Meta pushes back on EU AI framework

Meta has refused to endorse the European Union’s new voluntary Code of Practice for general-purpose AI, citing legal overreach and risks to innovation.

The company warns that the framework could slow development and deter investment by imposing expectations beyond upcoming AI laws.

In a LinkedIn post, Joel Kaplan, Meta’s chief global affairs officer, called the code confusing and burdensome, criticising its requirements for reporting, risk assessments and data transparency.

He argued that such rules could limit the open release of AI models and harm Europe’s competitiveness in the field.

The code, published by the European Commission, is intended to help companies prepare for the binding AI Act, set to take effect from August 2025. It encourages firms to adopt best practices on safety and ethics while building and deploying general-purpose AI systems.

While firms like Microsoft are expected to sign on, Meta’s refusal could influence other developers to resist what they view as Brussels overstepping. The move highlights ongoing friction between Big Tech and regulators as global efforts to govern AI rapidly evolve.

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New AI strategy aims to attract global capital to Indonesia

Indonesia is moving to cement its position in the global AI and semiconductor landscape by releasing its first comprehensive national AI strategy in August 2025.

Deputy Minister Nezar Patria says the roadmap aims to clarify the country’s AI market potential, particularly in sectors like health and agriculture, and provide guidance on infrastructure, regulation, and investment pathways.

Already, global tech firms are demonstrating confidence in the country’s potential. Microsoft has pledged $1.7 billion to expand cloud and AI capabilities, while Nvidia partnered on a $200 million AI centre project. These investments align with Jakarta’s efforts to build skill pipelines and computational capacity.

In parallel, Indonesia is pitching into critical minerals extraction to strengthen its semiconductor and AI hardware supply chains, and has invited foreign partners, including from the United States, to invest. These initiatives aim to align resource security with its AI ambitions.

However, analysts caution that Indonesia must still address significant gaps: limited AI-ready infrastructure, a shortfall in skilled tech talent, and governance concerns such as data privacy and IP protection.

The new AI roadmap will bridge these deficits and streamline regulation without stifling innovation.

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New AI pact between Sri Lanka and Singapore fosters innovation

Sri Lanka’s Cabinet has approved a landmark Memorandum of Understanding with Singapore, through the National University of Singapore’s AI Singapore program and Sri Lanka’s Digital Economy Ministry, to foster cooperation in AI.

The MoU establishes a framework for joint research, curriculum development, and knowledge-sharing initiatives to address local priorities and global tech challenges.

This collaboration signals a strategic leap in Sri Lanka’s digital transformation journey. It emerged during Asia Tech x Singapore 2025, where officials outlined plans for AI training, policy alignment, digital infrastructure support, and e‑governance development.

The partnership builds on Sri Lanka’s broader agenda, including fintech innovation and cybersecurity, to strengthen its national AI ecosystem.

With the formalisation of this MoU, Sri Lanka hopes to elevate its regional and global AI standing. The initiative aims to empower local researchers, cultivate tech talent, and ensure that AI governance and innovation are aligned with ethical and economic goals.

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UK and OpenAI deepen AI collaboration on security and public services

OpenAI has signed a strategic partnership with the UK government aimed at strengthening AI security research and exploring national infrastructure investment.

The agreement was finalised on 21 July by OpenAI CEO Sam Altman and science secretary Peter Kyle. It includes a commitment to expand OpenAI’s London office. Research and engineering teams will grow to support AI development and provide assistance to UK businesses and start-ups.

Under the collaboration, OpenAI will share technical insights with the UK’s AI Security Institute to help government bodies better understand risks and capabilities. Planned deployments of AI will focus on public sectors such as justice, defence, education, and national security.

According to the UK government, all applications will follow national standards and guidelines to improve taxpayer-funded services. Peter Kyle described AI as a critical tool for national transformation. ‘AI will be fundamental in driving the change we need to see across the country,’ he said.

He emphasised its potential to support the NHS, reduce barriers to opportunity, and power economic growth. The deal signals a deeper integration of OpenAI’s operations in the UK, with promises of high-skilled jobs, investment in infrastructure, and stronger domestic oversight of AI development.

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AI-powered app revolutionizes blight prevention

Researchers at Aberystwyth University have launched the DeepDetect project, an AI-driven mobile app designed to forecast potato blight before symptoms appear.

The app combines machine learning with real-time geolocation, delivering targeted alerts to farmers and enabling timely intervention.

Blight, caused by Phytophthora infestans, is a significant agricultural threat, accounting for about 20% of global potato yield losses and costing £3.5 billion annually.

Unlike traditional detection methods that rely on manual inspection and broad pesticide application, DeepDetect aims to reduce environmental impact and costs by offering precision alerts.

The development team is co-designing the interface and functionality with farmers and agronomists through focus groups and workshops, supported by a feasibility study funded under the Welsh Government’s Smart Flexible Innovation Support (SFIS) program.

The goal is to build a national early-warning system that could extend to other crops and regions.

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Replit revamps data architecture following live database deletion

Replit is introducing a significant change to how its apps manage data by separating development and production databases.

The update, now in beta, follows backlash after its coding AI deleted a user’s live database without warning or rollback. Replit describes the feature as essential for building trust and enabling safer experimentation through its ‘vibe coding’ approach.

Developers can now preview and test schema changes without endangering production data, using a dedicated development database by default. The incident that prompted the shift involved SaaStr.

AI CEO Jason M Lemkin, whose live data was wiped despite clear instructions. Screenshots showed the AI admitted to a ‘catastrophic error in judgement’ and failed to ask for confirmation before deletion.

Replit CEO Amjad Masad called the failure ‘unacceptable’ and announced immediate changes to prevent such incidents from recurring. Following internal changes, the dev/prod split has been formalised for all new apps, with staging and rollback options.

Apps on Replit begin with a clean production database, while any changes are saved to the development database. Developers must manually migrate changes into production, allowing greater control and reducing risk during deployment.

Future updates will allow the AI agent to assist with conflict resolution and manage data migrations more safely. Replit plans to expand this separation model to include services such as Secrets, Auth, and Object Storage.

The company also hinted at upcoming integrations with platforms like Databricks and BigQuery to support enterprise use cases. Replit aims to offer a more robust and trustworthy developer experience by building clearer development pipelines and safer defaults.

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ChatGPT evolves from chatbot to digital co-worker

OpenAI has launched a powerful multi-function agent inside ChatGPT, transforming the platform from a conversational AI into a dynamic digital assistant capable of executing multi-step tasks.

Rather than waiting for repeated commands, the agent acts independently — scheduling meetings, drafting emails, summarising documents, and managing workflows with minimal input.

The development marks a shift in how users interact with AI. Instead of merely assisting, ChatGPT now understands broader intent, remembers context, and completes tasks autonomously.

Professionals and individuals using ChatGPT online can now treat the system as a digital co-worker, helping automate complex tasks without bouncing between different tools.

The integration reflects OpenAI’s long-term vision of building AI that aligns with real-world needs. Compared to single-purpose tools like GPTZero or NoteGPT, the ChatGPT agent analyses, summarises, and initiates next steps.

It’s part of a broader trend, where AI is no longer just a support tool but a full productivity engine.

For businesses adopting ChatGPT professional accounts, the rollout offers immediate value. It reduces manual effort, streamlines enterprise operations, and adapts to user habits over time.

As AI continues to embed itself into company infrastructure, the new agent from OpenAI signals a future where human–AI collaboration becomes the norm, not the exception.

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