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Stephen Moore

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liked a model about 1 hour ago
IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct
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tomg-group-umd/huginn-0125
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The Architecture of 2026: Beyond the Token Trap 🚀 We are witnessing a tectonic shift in Transformer architecture. It’s no longer just about "predicting the next token"—it’s about executing latent plans on a high-speed data highway. What happens when we combine DeepSeek’s stability with Google’s strategic intelligence? 1️⃣ The Infrastructure: DeepSeek’s mHC Moving from a single-lane residual stream to a multi-lane highway. Using the Birkhoff Polytope, mHC ensures mathematical stability (Identity Mapping) while routing specialized data through dedicated lanes. 2️⃣ The Intelligence: Google’s Meta-Controller An internal AI unit that lives inside the Transformer. It escapes the "Token Trap" by extracting data to create a latent plan, steering the model via Temporal Abstraction. The Synergy: In a Topological Transformer, the Meta-Controller finally has the "dedicated lanes" it needs to steer complex reasoning without causing gradient explosions. We aren't just making models bigger; we are making them architecturally smarter. 🧠 #MachineLearning #DeepSeek #GoogleAI #Transformer #AIArchitecture
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