Find a story
Search Spins
Search titles, summaries, and missing voices across published articles — press releases, announcements, and media coverage.
2 results for “recommendation models”
SPIN Processed News Frame: The Hype
Auto-RecSys: Harnessing Autonomous Research Agents for Industry-Scale Recommender System
Auto-RecSys is a proposed autonomous research system designed to accelerate and stabilize long-horizon experimentation on industry-scale recommender models by enabling parallel, recoverable, and self-documenting LLM-guided experimentation.
Spin 75% Needs Evidence AI Risk Moderate
arXiv Computation and Language
Sep 11, 2026
SPIN Processed News Frame: The Hype
Meta Expands Its Custom Silicon Strategy From Compute Into Networking
Meta announced MTIA 300, its first custom silicon accelerator designed specifically for training ranking and recommendation models — expanding its in-house chip strategy beyond compute into networking infrastructure.
Spin 75% Claim Present in Source AI Risk Moderate
InfoQ AI / ML / Data Engineering
Aug 28, 2026