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// Intelligence

Infra

A focused feed of models, agents, research and open-source releases for people building with AI.

Updated
02
ETH Zurich's LSA Slashes 10-Million-Token AI Processing by 72x
paperLlmsInfraAlphaSignal ·

ETH Zurich's LSA Slashes 10-Million-Token AI Processing by 72x

Prefrontal AI and ETH Zurich introduce Latent Sparse Attention (LSA), targeting the indexer bottleneck at 10M-token context At ultra-long context, the key-selection indexer consumes about 98% of a sparse attention layer's runtime LSA clusters keys hierarchically in a learned latent space so queries

10
Zyphra's ZHA Tree Router Scans Just 2.8% of Keys at 256K Tokens
paperLlmsInfraAlphaSignal ·

Zyphra's ZHA Tree Router Scans Just 2.8% of Keys at 256K Tokens

Zyphra introduces ZHA , a tree-structured sparse attention that is asymptotically subquadratic. Queries descend a tree of compressed KV summaries, skipping entire branches instead of scoring every key. Projected speedups: 35x over dense at 10M tokens, up to 417x at 1B tokens.

12
KAIST's L3G-World Turns a Single Photo Into an Explorable 3D World
paperVideoInfraAlphaSignal ·

KAIST's L3G-World Turns a Single Photo Into an Explorable 3D World

KAIST's L3G-World generates explorable 3D worlds at 9 FPS from a single image. Each 3D Gaussian stores a VAE latent, rendering directly into the diffusion model's conditioning space. Memory grows with scene extent, not stream length, keeping GPU use flat during long exploration.