Vast technology differences simultaneously
INNOVATION
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Dell GB10s Cluster Runs Trinity-Large 398B Model 17-18 Tokens
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3x Dell GB10s, 128GB unified memory each, 384GB memory for the cluster, mesh connected over 200Gbps QSFP, currently running Trinity-Large-Thinking (398B) Q4_K_M 17-18 t/s. Will review this model in time. Using as coding agent and via Hermes. pic.twitter.com/u2fKP1V0NE
— Harrison Kinsley (@Sentdex) 8 avril 20263x Dell GB10s, 128GB unified memory each, 384GB memory for the cluster, mesh connected over 200Gbps QSFP, currently running Trinity-Large-Thinking (398B) Q4_K_M 17-18 t/s. Will review this model in time. Using as coding agent and via Hermes.
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Open-source builders deserve 1000x more recognition and rewards
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100%! the open-source builders and maintainers should be celebrated and rewarded 1000x more!
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Meta Unveils Muse Spark and Contemplating Mode
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BREAKING : META ANNOUNCED MUSE SPARK, THE FIRST MSL MODEL, AND A NEW MUSE SPARK CONTEMPLATING MODE! Muse Spark Contemplating mode scored 58.4% on HLE with tools! "We’re also releasing Contemplating mode, which orchestrates multiple agents that reason in parallel. This allows
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Meta AI becomes publicly available today
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it will be publicly available today! go to http://
meta.ai! -
DISCO: AI-Designed Enzymes Through Diffusion Co-design
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More sequence-structure co-design brings a happy tear to my eye https://t.co/ScQ0mhsA6e
— Jason Yim (@json_yim) 8 avril 2026More sequence-structure co-design brings a happy tear to my eye Jarrid Rector-Brooks (@jarridrb) What if AI could invent enzymes that nature hasn’t seen? 👩🔬🧑🔬 Introducing 🪩 DISCO: Diffusion for Sequence-structure CO-design 14 rounds of directed evolution and over a year of wet lab work. That's what it took to engineer an enzyme for selective C(sp³)–H insertion, one of the most challenging transformations in organic chemistry. DISCO surpasses this with a single plate. No pre-specified catalytic residues, no template, no theozyme, no inverse folding, just joint diffusion over protein sequence and structure. 📝 Blog: disco-design.github.io/ 📄 Paper: arxiv.org/abs/2604.05181 💻 Code: github.com/DISCO-design/DISC… — https://nitter.net/jarridrb/status/2041893841301860542#m
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Muse Spark: Advanced Visual AI for Interactive STEM and Home Solutions
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Muse Spark is built from the ground up to integrate visual information across domains and tools. It achieves strong performance on visual STEM questions, entity recognition, and localization, enabling interactive experiences like troubleshooting your home appliances with dynamic… pic.twitter.com/8d1tNpeQ0m
— AI at Meta (@AIatMeta) 8 avril 2026Muse Spark is built from the ground up to integrate visual information across domains and tools. It achieves strong performance on visual STEM questions, entity recognition, and localization, enabling interactive experiences like troubleshooting your home appliances with dynamic
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Muse Spark: First Step in AI Scaling Ladder
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Muse Spark is the first step on our scaling ladder and the first product of a ground-up overhaul of our AI efforts. It offers competitive performance in multimodal perception, reasoning, health, and agentic tasks. We continue to invest in areas with current performance gaps,
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Muse Spark Launches Contemplating Mode for Advanced Reasoning
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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]
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