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.
RESEARCH
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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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Hedged Requests Reduce P99.99 DRAM Read Latency
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Hedged requests (apparently inspired by the Tail at Scale paper by myself and Luiz Barroso) applied within a single machine to replicating data across DRAM channels and issuing reads to all channels, using the one that comes back first. ~5-15X reduction in p99.99 read latency.
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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 -
Necessary but insufficient: AI’s next decade outlook
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it is necessary but not sufficient; see my article “next decade in AI”
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Do Guns Cause Effects Equate to General Intelligence?
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guns cause reliable effects on a general basis. does that make general intelligence? sending you off to mute
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AI Hype Cycle: Initial Enthusiasm Meeting Reality Check
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or a psychological effect of initial enthusiasm and hype gradually facing reality?