{"by":"riordan","descendants":600,"id":49241679,"kids":[49241998,49244353,49243977,49244699,49245534,49242626,49242784,49245180,49249223,49242292,49252850,49242023,49242050,49242821,49254124,49245575,49247828,49243317,49247883,49243020,49242164,49249080,49241912,49248112,49245518,49242452,49242008,49242071,49244816,49242585,49243581,49246146,49251241,49241989,49242079,49243803,49248725,49244516,49248796,49248677,49243763,49245264,49245236,49249562,49253213,49242269,49245168,49249050,49242129,49244093,49243698,49249261,49247547,49242595,49246493,49247737,49243313,49246050,49244637,49244234,49242083,49245037,49245294,49244951,49244941,49245505,49254027,49254040,49244266,49245223,49244607,49246949,49245805,49243056,49245317,49244612,49248263,49248850,49243941,49242100,49243205,49245053,49247511,49242308],"score":1098,"time":1786356602,"title":"Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows","type":"story","url":"https://research.meta.ai/blog/introducing-muse-glimmer-open-agentic-model"}