Model: "muse-spark"

Apr 08
not much happened today
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muse-spark llama-4-maverick glm-5.1 deepseek-v3.2 meta-ai-fair zhipu-ai deepseek multimodality tool-use visual-chain-of-thought multi-agent-systems training-efficiency model-scaling parallel-inference image-to-code coding-integration benchmarking model-architecture alexandr_wang shengjia_zhao jack_w_rae ananyaku _jasonwei artificialanlys valsai epochairesearch matthuang omarsar0 skirano mattdeitke garrytan sebastianraschka
Meta Superintelligence Labs launched Muse Spark, a natively multimodal reasoning model featuring tool use, visual chain of thought, and multi-agent orchestration. It is live on meta.ai with a private API preview and plans for future open-source versions. Independent benchmarks rank Muse Spark highly, with strong performance on tasks like TaxEval and finance, and notable efficiency gains including >10× less compute than Llama 4 Maverick. Meta highlights parallel multi-agent inference and training efficiency improvements. Community testing shows strong image-to-code and one-shot game generation capabilities. Additionally, Zhipu AI's GLM-5.1 is recognized as a leading open-weight model, resembling DeepSeek-V3.2 architecture.