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FollowMeta Llama model development
Meta says Muse Spark rollout and follow-on training mark the next phase
Key takeaways
- The newest post-Llama signals are not another open-weight launch but simultaneous movement in product rollout, training methods, and compute infrastructure.
- The push to collect internal interaction data suggests Meta is building a stronger training loop for software-executing agentic AI, which could shape the capability boundary of its next models.
- Putting Muse Spark’s product performance and power build-out in the same phase suggests Meta’s model competition now depends more on deployment efficiency and sustained compute supply.
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