SMRTR AIMay 6, 2026Ars Technica

Google's Gemma 4 open AI models use "speculative decoding" to get up to 3x faster

SMRTR summary

Google's Gemma 4 AI models just got significantly faster through a technique called speculative decoding, which uses small "drafter" models to predict upcoming tokens while the main model is still processing — cutting generation time by up to 3x on consumer hardware where memory speed is a common bottleneck.

SMRTR provides this summary for quick context. The original article belongs to Ars Technica.

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...