EPISODE · Oct 21, 2025 · 24 MIN
State of AI: The Next Generation of Brain-Inspired AI
from State of AI · host Ali Mehedi
In this episode of State of AI, we explore one of the most groundbreaking innovations in artificial intelligence — SpikingBrain, a family of brain-inspired large language models (LLMs) designed for energy-efficient, long-context computation. Developed by researchers at the Chinese Academy of Sciences, SpikingBrain challenges the Transformer dominance by introducing adaptive spiking neurons, linear attention mechanisms, and a new training pipeline that mimics how the human brain processes information.We dive into the science behind SpikingBrain-7B and SpikingBrain-76B, two models that achieve up to 100× faster inference and 69% computational sparsity while consuming less than 2% of the training data used by traditional models
What this episode covers
In this episode of State of AI, we explore one of the most groundbreaking innovations in artificial intelligence — SpikingBrain, a family of brain-inspired large language models (LLMs) designed for energy-efficient, long-context computation. Developed by researchers at the Chinese Academy of Sciences, SpikingBrain challenges the Transformer dominance by introducing adaptive spiking neurons, linear attention mechanisms, and a new training pipeline that mimics how the human brain processes information.We dive into the science behind SpikingBrain-7B and SpikingBrain-76B, two models that achieve up to 100× faster inference and 69% computational sparsity while consuming less than 2% of the training data used by traditional models
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State of AI: The Next Generation of Brain-Inspired AI
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