Uploaded October 2025 | Updated September 2026, 2 hours ago

Thanks Sam! #short

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$Qwen3-Next: 10x faster, 10% cost ! Efficiency breakthroughs don’t come often, but this one looks real! Alibaba just dropped Qwen3-Next-80B-A3B, an 80B MoE model with only 3B active parameters at inference. The result? Really fast generation at 10% of the cost of a small model (eg. Qwen 32B). What’s new here: • Ultra-sparse MoE with 512 experts (Instruct + Thinking variants). • Hybrid attention with a gated mechanism, giving speedups where most models slow down. • Multi-Token Prediction to supercharge speculative decoding. • Trained on 15T tokens at a fraction of Qwen3-32B’s cost. • “Thinking” variant even outperforms Gemini-2.5-Flash-Thinking in benchmarks. • 256K native context (scalable to 1M). Why it matters: This model challenges the efficiency ceiling set by Mixtral and DeepSeek, while rivaling Qwen3-235B in reasoning with only 3B actrive parameters(!!). If these claims hold up outside benchmarks, we’re looking at a new efficiency baseline for frontier open LLMs. Which model do you want me to cover next? Drop it in the comments and I’ll tag you. I’m Louis-François, PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀 #AIresearch #LLMs #ainews #short$

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