Anthropic Wins Limited U.S. Approval To Release Mythos 5 To Trusted Partners

The U.S. government has authorized Anthropic to provide its Mythos 5 model to a limited group of around 100 companies and federal agencies, easing restrictions imposed earlier this month on the company’s most advanced AI systems.

Commerce Department Eases Restrictions On Mythos 5

According to a letter seen by CNBC, U.S. Commerce Secretary Howard Lutnick said “appropriate safeguards are in place” to allow selected trusted partners to access Claude Mythos 5.

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The decision follows two weeks of discussions between Anthropic and the Trump administration over access to the company’s latest models, Mythos 5 and Fable 5.

For now, the authorization applies only to Mythos 5. Restrictions on Fable 5 remain in place.

A Narrow Opening, Not A Full Reversal

Addressed to Anthropic co-founder Tom Brown, the letter follows reports that he has led discussions with the White House after CEO Dario Amodei stepped back from direct negotiations.

Earlier this month, Anthropic suspended access to both models after receiving an export-control directive requiring the company to block access for all foreign nationals, including its own employees, regardless of whether they were inside or outside the United States.

Those restrictions came shortly after Anthropic introduced the two models. At launch, the company described them as state-of-the-art across multiple industry benchmarks, with Fable 5 including additional safeguards for high-risk applications.

OpenAI Moves Faster On Broader Rollout

On the same day, OpenAI introduced three new AI models, saying access would initially be limited to a small group of trusted partners in line with a request from the U.S. government.

The company said it plans to make GPT-5.6 Sol, Terra and Luna more broadly available in the coming weeks and confirmed that government officials had been briefed on the models before their release.

Anthropic’s Tense Relationship With Washington

Relations between Anthropic and the Trump administration have become increasingly strained this year.

Earlier, the Department of Defense designated the company a supply chain risk following disagreements over the use of its AI models, preventing certain defense contractors from using Claude models in military-related work.

Anthropic is challenging that designation in court, and the case remains ongoing.

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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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