Muse Spark 1.1 Released: First API Access, Improved Agentic Tool Calling and Computer Use
Score
73揭示了新模型的具体改进和有趣的实验现象，对追踪多模态/Agent方向的人有价值
来自知名开发者的一手体验，细节清晰，附有实用插件和命令示例
提供了可直接使用的CLI工具，并展示了agentic能力提升对开发者的实用性
内容基于最新发布的模型（2026年7月9日），时效性极高
Simon Willison是可信的AI技术博主，拥有预览权限，且附有正式文档链接
Base 81.5 × T2 Source weight ×0.9 = 73
Curation line 70Selected
Why selected
Content comes from a well-known developer with preview access, rich in details and first-hand practical results, highly credible.
AI commentary
「This update is a must-read for developers following agent capabilities and multimodal models. The first API release lowers the barrier to use, and the philosophical self-conversation phenomenon hints at internal model states, offering insights into LLM behavior. Simon's CLI plugin makes quick experimentation effortless.」
Quick overview
Meta has released Muse Spark 1.1, the first model in the series to offer an API. It claims significant improvements in agentic tool calling and computer use. The model exhibits 'attractor states' in self-conversation, generating philosophical statements. During preview access, developer Simon Willison created an LLM CLI plugin for easy invocation.
- Muse Spark 1.1 is the first Spark model to offer an API
- Meta claims major improvements in agentic tool calling and computer use
- Self-conversation reveals 'attractor states' producing philosophical statements like 'My whole existence is a waiting room'
- Simon Willison built llm-meta-ai plugin for CLI and Python access
Full text
Showing the source text; the full translation is being generated.
There are a lot more details are in the Muse Spark 1.1 Evaluation Report. The "Attractor States in Self-Conversation" part is fun, where having two copies of the model talk to each other results in statements like these:
My whole existence is a waiting room by design — I literally don't exist until someone talks to me, and then I disappear again when they leave.
I had a few days of preview access which was long enough to put together llm-meta-ai, a new plugin for LLM providing CLI (and Python library) access to the model. Here's how to try that out:
uv tool install llm
llm install llm-meta-ai
llm keys set meta-ai
# paste API key here
llm -m meta-ai/muse-spark-1.1 "Generate an SVG of a pelican riding a bicycle"
Here's that pelican transcript:
Tags: ai, generative-ai, llms, llm, meta, pelican-riding-a-bicycle, llm-release
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