2026-01-01 18:26:30

In 2026, at the start of the year, DeepSeek's mHC architecture has taken a new step forward.

Speaking of which, HC has always faced expansion bottlenecks in the width direction—poor stability and limited scalability. mHC is here to break this deadlock. It not only maintains the traditional approach of vertically stacking transformers but also opens the door to parallel information streams horizontally, making multi-stream parallelism possible.

What does this mean? The model can be stacked vertically and laid out horizontally. The expansion dimension has shifted from one-dimensional to two-dimensional. Continuing to scale, the ceiling has been raised once again.

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CountdownToBroke

· 01-02 21:51

Once again, they're hyping up the architecture. Can it really break the deadlock, or is it just another round of cutting the leeks?

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LiquidationOracle

· 01-01 19:07

Wow, mHC, this set of things really opens your eyes. The idea of 2D expansion is truly wild.

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Hash_Bandit

· 01-01 18:54

ngl, the 2d scaling thing sounds familiar... didn't we basically try this back with early asic clustering? horizontal throughput always hits thermal walls eventually. guess we'll see if deepseek's actually cracked the parallelization sweet spot this time or if it's just the usual hype cycle spinning again.

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AirdropHunterKing

· 01-01 18:37

Bro, if this mHC can really be laid out horizontally and stacked vertically, then it's the rhythm of 2D wool-gathering. The scalability opens up, saving how much gas fees.

DeepSeek's move is well played, but we have to see how the follow-up implementation goes. No matter how loud the hype, we still need real interaction data to speak.

All those previous architectural optimizations ended up being just air coins. Hopefully, this time it won't be another show.

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AirdropDreamer

· 01-01 18:36

2D scaling, now it's really different. Both horizontal and vertical can be stretched, feeling like the ceiling is endless.

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