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EU Approves Temporary Aid Framework Covering Up To 70% Of Costs

European Commission’s Strategic Intervention

The European Commission has approved a new temporary state aid framework designed to fortify the European Union’s economy amidst ongoing instability in the Middle East. This measure focuses on supporting sectors exposed to higher costs and market disruptions.

Introducing The METSAF Framework

Known as the Temporary Framework for the Middle Eastern Crisis (METSAF), the scheme was presented by Teresa Ribera, Executive Vice-President for Competition. According to the Commission, the framework targets sectors such as agriculture, fisheries, transport, and energy-intensive industries, where cost pressures have increased.

Duration And Dynamic Adaptation

Under the decision, the framework will remain in place until December 31, 2026. Regular reviews are planned to adjust the measures in line with economic conditions and regional developments.

Sector Specific Support Measures

The 27 EU Member States will be informed about the measures under METSAF to enable rapid authorization. The Commission is also prepared to assess additional temporary measures on a case-by-case basis. For example, subsidies for fuel costs in gas-powered electricity generation may be introduced to help stabilise energy prices.

Eligible beneficiaries in agriculture, fisheries, land transport, and short-range intra-EU maritime transport can receive support covering up to 70% of additional costs linked to price increases. Calculations will be based on the difference between current and historical prices, as well as pre-crisis consumption levels.

Simplified Processing And Flexibility For Small Claims

The framework also introduces a simplified process for smaller state aid amounts. In such cases, grants may be determined using general indicators such as company size or estimated fuel consumption, without requiring detailed documentation. Support can reach up to €50,000 per beneficiary.

Complementary Adjustments For Energy Intensive Industries

METSAF also builds on the existing Clean Industries State Aid Framework (CISAF), providing additional flexibility for energy-intensive industries. Funding for electricity costs may cover up to 70% of eligible consumption. This corresponds to support for around half of total energy use and does not include additional decarbonisation requirements.

Conclusion: A Proactive Response

While the transition to a clean energy system remains a long-term objective, the framework introduces measures aimed at addressing current cost pressures. The approach focuses on supporting sectors affected by price increases while maintaining the existing policy direction.

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

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.

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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