Muse Spark Open, the Most Capable US Open‑Weight Model to Date(research.meta.ai)
38 points by meetpateltech | 1 comments
Meta blog post announcing Muse Spark Open, an open-weight AI model billed as the most capable US open-weight model to date.
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Introducing Muse Spark 1.3(research.meta.ai)
60 points by scrlk | 13 comments
Muse Code and Muse Spark 1.2(research.meta.ai)
314 points by paulkrush | 242 comments
Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows(research.meta.ai)
1156 points by riordan | 624 comments
Meta blog post announcing Muse Glimmer, an open 30B-parameter agentic model designed to run locally on devices for always-on agent workflows.
Muse Spark 1.1(ai.meta.com)
393 points by ot | 196 comments
Meta AI blog post announcing Muse Spark 1.1, a new Meta AI model offered through a paid developer API.
Muse Spark: Scaling towards personal superintelligence(ai.meta.com)
372 points by chabons | 351 comments
Meta AI blog post announcing Muse Spark, a new model from Meta Superintelligence Labs framed as a step toward personal superintelligence.
Related stories
Muse Spark 1.1(ai.meta.com)
393 points by ot | 196 comments
Meta AI blog post announcing Muse Spark 1.1, a new Meta AI model offered through a paid developer API.
Muse Spark: Scaling towards personal superintelligence(ai.meta.com)
372 points by chabons | 351 comments
Meta AI blog post announcing Muse Spark, a new model from Meta Superintelligence Labs framed as a step toward personal superintelligence.
Muse Spark Open, the Most Capable US Open‑Weight Model to Date(research.meta.ai)
38 points by meetpateltech | 1 comments
Meta blog post announcing Muse Spark Open, an open-weight AI model billed as the most capable US open-weight model to date.
Muse Spark 1.3(developer.meta.com)
670 points by bvaldivielso | 435 comments
Meta developer product page for Muse Spark 1.3, an AI model trained for agentic workflows and optimized for coding performance and reliable tool calling.
Training LLMs from ground zero as a startup(yitay.net)
360 points by swyx | 92 comments
Yi Tay's blog post on the experience of training large language models from scratch at a startup (Reka), covering compute, infrastructure, and lessons learned.
Apple ML Research: Muse Spark Open with MLX on Mac Studio(machinelearning.apple.com)
355 points by antipaul | 188 comments
Apple Machine Learning Research post on running large LLM inference locally and distributed across Mac Studio machines using MLX and RDMA.