Muse Glimmer-30B long-context: real 100k-token AA-LCR, not synthetic needle tests
TimDarcet · x · 2026-10-21
TimDarcet says agents shouldn't compact after every tool call, and Muse Glimmer-30B's long-context performance is solid: AA-LCR uses thinking + question answering with 100k-token prompts on realistic data rather than synthetic needle-in-a-haystack tests, and the model follows instructions well in agent settings.
Related event: Meta's Muse-Glimmer-30B: On-Device Agent Trained on Simulated Digital Lives(9 posts)→
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