SMRTR AIDec 3, 2025Daily.dev

A Technical Tour of the DeepSeek Models from V3 to V3.2

SMRTR summary

DeepSeek released V3.2, a major upgrade from their previous models that combines sparse attention for better efficiency with hybrid reasoning capabilities in a single model. The new version incorporates DeepSeek Sparse Attention (DSA) that reduces computational complexity from quadratic to linear, self-verification techniques borrowed from their specialized math model, and improved reinforcement learning training methods.

SMRTR provides this summary for quick context. The original article belongs to Daily.dev.

Read the original article
SMRTR AI

Get the next batch of curated stories in your inbox.

This archive is built from SMRTR newsletter stories. Subscribe for hand-picked stories without the extra noise.

Related Stories

Browse AI
AIAug 27, 2026

SpaceKit AI

SpaceKit AI is a public research hub for Growformer, an ML system with a promote-freeze neural substrate, language model experiments, neural cellular automata, and reproducible...

AIAug 27, 2026

Small Models Have Arrived

Small AI models are now 10x cheaper than before, making high-volume consumer and business AI apps financially viable—tasks costing $1 now cost ~$0.10, enabling affordable,...

AIAug 27, 2026

Why I Am Right About AI

The piece satirizes tech-bro certainty about AI replacing writers, using absurd logic and fake statistics to parody real thought leaders—exposing how hollow and self-serving those...