Temu Faces €200 Million Fine Over EU Risk Assessment Shortcomings

Regulatory Repercussions For Risk Management Lapses

Temu was fined €200 million by the European Commission for failing to implement adequate risk assessment measures under the Digital Services Act (DSA). The penalty targets the company’s handling of illegal and unsafe products sold through its platform and reflects growing regulatory scrutiny of large online marketplaces operating in the European Union.

Inadequate Risk Assessment Framework

According to the Commission, Temu relied on general e-commerce industry data rather than platform-specific evidence when assessing risks linked to illegal or dangerous products. Regulators said the company failed to properly identify, analyze and evaluate systemic risks facing EU consumers. The investigation focused on risks associated with products including electronic chargers, baby toys and jewellery sold through the platform.

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Alarming Safety Concerns

A mystery shopping exercise conducted during the investigation identified multiple safety violations involving products purchased through Temu. Several electronic chargers reportedly failed EU safety standards, with some overheating or catching fire during testing. Authorities also identified choking hazards and dangerous chemicals in baby toys, while some jewellery products were found to contain misleading labels or fail to comply with EU product regulations.

Design Flaws And Systemic Shortcomings

The probe extended beyond isolated product failures to examine the overall efficacy of Temu’s systems. The Commission highlighted that the platform’s use of recommendation systems and influencer-led promotion programs may inadvertently propagate the circulation of illegal products. Such systemic deficiencies represent a serious breach of obligations under the DSA.

Mandated Action And Future Compliance

Temu has until August 28, 2026, to submit an action plan outlining how it intends to strengthen risk assessment procedures and improve seller and product verification systems. The Commission said the company must introduce more advanced and evidence-based compliance measures to meet regulatory requirements. Temu described the fine as disproportionate and said improvements had already been implemented following the original 2024 assessment. European regulators indicated that additional sanctions remain possible if further violations or compliance failures are identified.

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Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

by THEFUTURE.TEAM

October 13, 2026

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

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According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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