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andre
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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
updated
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20 days ago
achang/atradebot_collect_09_to_12_2025
published
a dataset
20 days ago
achang/atradebot_collect_09_to_12_2025
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achang/atradebot_collect_09_to_12_2025
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20 days ago
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14.4k
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achang/atradebot_collect_01_to_09_2025
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Sep 6, 2025
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achang/atradebot_collect_01_to_07_2025
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achang/atradebot_collect_01_to_03_2025
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achang/atradebot_dataset
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achang/test_stock
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achang/plot_qa
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achang/stocks_one_nvda_v3_weekly
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achang/stock_nvda
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achang/stocks_alloc_small0
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achang/stock_group
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achang/stock_forecast_0
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achang/stock_news_0
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achang/scipapers_1kseq
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achang/form_bbox
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achang/draw_svg
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achang/doclayout_txtnum_large
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achang/render_text_large
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achang/doclayout_txtnum
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achang/xview2_segmentation
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achang/doclayout_box
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achang/render_text
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