We're also releasing Contemplating mode, which orchestrates multiple agents that reason in parallel. This allows Muse Spark to compete with the extreme reasoning modes of frontier models such as Gemini Deep Think and GPT Pro. Contemplating will be rolling out gradually in
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Meta Introduces Muse Spark, Its New Multimodal Model
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Introducing Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. Muse Spark is available today at meta.ai and the Meta AI app. We're also making it available in private preview via API to select partners, and we hope to open-source future versions of the model. Learn more: go.meta.me/43ea00 [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-08 16:05 UTC
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Muse Spark: Meta AI for Health, Science, and Math
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6/ muse spark powers a meta ai that sees and understands the world around you, pulls from real conversations across our apps, and reasons through complex questions in health, science, and math. built for the 3 billion people already using our apps every day.
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Larger Models in Development with Open-Source Plans
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7/ this is step one. bigger models are already in development with infrastructure scaling to match. private api preview open to select partners today, with plans to open-source future versions. incredibly proud of the MSL team. excited for what’s to come!
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New Contemplating Mode for Complex Scientific Reasoning Tasks
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3/ we’re also releasing contemplating mode, which orchestrates multiple agents that reason in parallel designed to handle complex scientific & reasoning queries. in our testing we found it competitive w/ other extreme reasoning models such as Gemini Deep Think & GPT Pro.
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Muse Spark Safety Evaluations and Refusal Behavior Across High-Risk Domains
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4/ we conducted extensive safety evaluations before deployment, both before and after applying mitigations across frontier risk categories, behavioral alignment, and adversarial robustness. we found muse spark demonstrated strong refusal behavior across high-risk domains such as
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Muse Spark: Meta’s Most Powerful Multimodal Reasoning Model
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2/ muse spark is a natively multimodal reasoning model w/ support for tool-use, visual chain of thought, & multi-agent orchestration. it's the most powerful model that meta has released. through its training process, we saw predictable scaling across pretraining, RL, & test-time
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MSL Releases Muse Spark, New AI Model Powering Meta AI
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1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai.
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Meta Introduces Muse Spark, New Superintelligent Multimodal AI Model
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Excited to share what we've been building at Meta Superintelligence Labs! We just released Muse Spark, our first AI model. It's a natively multimodal reasoning model and the first step on our path to personal superintelligence. We've overhauled our entire stack to support scaling, and this is just the beginning. ai.meta.com/blog/introducing… [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-08 16:00 UTC
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Anthropic Launches Mythos Model with Record SWE-Bench Performance
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I run growth at @AnthropicAI
. My job is to get our models into as many hands as possible. Mythos is by far the strongest model we've ever trained, and it's been a step-function change for us internally. It hit 93.9% SWE-bench Verified, found a ton of critical bugs including a