Ep 103: A 1.6-trillion-parameter open MoE model with native 1M context just launched, giving builders a new domestic-trained option for long-context work. episode artwork

EPISODE · Jul 6, 2026 · 8 MIN

Ep 103: A 1.6-trillion-parameter open MoE model with native 1M context just launched, giving builders a new domestic-trained option for long-context work.

from Models & Agents

Models & Agents A 1.6-trillion-parameter open MoE model with native 1M context just launched, giving builders a new domestic-trained option for long-context work. What You Need to Know: Meituan released LongCat-2.0, a 1.6T-parameter Mixture-of-Experts model activating ~48B parameters per token with native 1M context via LongCat Sparse Attention, trained end-to-end on domestic AI ASIC superpods. ... AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production. 🎬 Watch on YouTube: https://www.youtube.com/watch?v=1LQUBcVHFsc 📝 Full show notes, transcript & sources: read the episode page 🌐 Part of the Nerra Network — explore every show at nerranetwork.com.

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Ep 103: A 1.6-trillion-parameter open MoE model with native 1M context just launched, giving builders a new domestic-trained option for long-context work.

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