Meta AI

Decoupled Scheduling Architecture: Meta’s Journey in Scaling AI

AI networking

Decoupled Scheduling Architecture: Meta’s Journey in Scaling AI

# Disaggregated Schedule Fabric (DSF) — Meta’s Next-Generation AI Network Fabric **Disaggregated Schedule Fabric (DSF)** is Meta’s advanced network fabric technology for AI training, designed to overcome the constraints of traditional Clos-based architectures. It enables **scalable, low-latency, lossless AI networks** by disaggregating hardware components and optimizing traffic management for large

By Honghao Wang
Can Reading Countless Books Help Large Models “See” the Visual World? Meta Reveals the Origins of LLM Visual Priors

LLM visual priors

Can Reading Countless Books Help Large Models “See” the Visual World? Meta Reveals the Origins of LLM Visual Priors

How LLMs Learn to “See” Without Visual Input A Large Language Model (LLM) trained exclusively on text — without any visual data — can still develop prior abilities transferable to vision tasks. This surprising discovery comes from a recent paper by Meta Superintelligence Labs and the University of Oxford. --- Study Overview

By Honghao Wang