DeepSeek kicked off 2026 with a new AI training method for scaling

businessinsider.com

8 points·quietproof··2 comments

The irony is cosmic. Chip sanctions were supposed to strangle Chinese AI, instead they turned Deepseek into the most efficient neural architects on the planet. While Western labs lazily throw infinite compute at problems (because they can), these guys are forced to squeeze every FLOP out of last-gen hardware. mHC is essentially their answer to bandwidth scarcity.

If this works, Google and OpenAI will be copying their homework in six months just to save billions on their own clusters

We can see a pattern in AI history where constraints produce architectural breakthroughs. CNNs came out of hardware limits, RNN/LSTMs were responses to memory scarcity, and now mHC appears to be an efficiency-driven innovation born from bandwidth ceilings.

What call my attention here more than anything is that mHC isn't simply "doing more with less". I would say MoE would better fit this description. Instead, it introduces a geometric constraint that changes the optimization landscape itself. I find this to be more profound.

If the approach survives independent replication, it won't just be China's workaround to sanctions. It would potentially be an architectural contribution the whole field adopts for cost reasons. Efficiency breakthroughs tend to travel fast.

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