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DeepSeek AI Researchers Introduce Engram: A Conditional M...

Transformers use attention and Mixture-of-the experts to grow computation, but they still lack a native way to perform knowledge lookup.

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Thursday, January 15, 2026 ๐Ÿ“– 1 min read
DeepSeek AI Researchers Introduce Engram: A Conditional M...
Image: MarkTechPost

Whatโ€™s Happening

Not gonna lie, Transformers use attention and Mixture-of-the experts to grow computation, but they still lack a native way to perform knowledge lookup.

They re-compute the same local patterns again and again, which wastes depth and FLOPs. (and honestly, same)

DeepSeekโ€™s new Engram module targets exactly this gap by adding a conditional memory axis that works alongside MoE rather than replacing it.

Why This Matters

The AI space continues to evolve at a wild pace, with developments like this becoming more common.

As AI capabilities expand, weโ€™re seeing more announcements like this reshape the industry.

The Bottom Line

This story is still developing, and weโ€™ll keep you updated as more info drops.

We want to hear your thoughts on this.

โœจ

Originally reported by MarkTechPost

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