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Meta releases Muse Wonder AI models to challenge Anthropic and OpenAI
Meta says the new models add active memory and active focus for long-running tasks, and Wonder Full is limited to paid coding subscribers.
- On Monday, Meta released Muse Wonder, an advanced AI model designed to power digital assistants and improve task execution for "personal and professional agents" without stalling on real-world tasks.
- This launch follows a 14-month organizational overhaul by Meta Chief Executive Officer Mark Zuckerberg, who invested billions into the newly formed Meta Superintelligence Labs to restore competitive edge.
- Meta claims the model rivals top industry benchmarks and offers "strongest safeguards to date" against "cyber misuse," with subscription access starting at $20 for personal users and $50 for developers.
- AI Chief Alexandr Wang said Meta distinguishes itself by targeting broad consumer use cases rather than narrowly focusing on coding, aiming to resolve real-world tasks like booking reservations.
- The company positions the release as a "major leap toward personal superintelligence," though external testing remains necessary to verify whether performance matches internal benchmark claims.
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Meta presented the Muse Wonder and the Muse Wonder Full, two new models of artificial intelligence (IA) that mark the company's entry into the segment of the most advanced AI systems. Among the main innovations are the performance in complex tasks and a memory capacity designed to track the needs of users to [...]
·Lisboa, Portugal
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The new models received active memory, improved programming capabilities, and support for long-term agent tasks.
·Kyiv, Ukraine
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Meta says its new AI models on par with OpenAI, Anthropic
Meta on Monday unveiled two new "frontier" artificial intelligence models called Wonder and Wonder Full, which the company claims perform at a level comparable to that of OpenAI's ChatGPT and Anthropic's Claude.
·Chennai, India
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Total News Sources130
Leaning Left13Leaning Right17Center13Last UpdatedBias Distribution40% Right
Bias Distribution
- 40% of the sources lean Right
40% Right
L 30%
C 30%
R 40%
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