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product#transformer📝 BlogAnalyzed: Jan 21, 2026 00:02

X Opens Sources Core Recommendation System: A Leap Forward for AI Transparency!

Published:Jan 20, 2026 23:50
1 min read
Techmeme

Analysis

X's decision to open source its core recommendation system is a significant move towards transparency in AI. This allows developers and researchers to examine and learn from the system's inner workings, driving innovation in recommendation algorithms. The use of a Grok-based transformer model indicates cutting-edge technology.
Reference

“X says it has open sourced its “core recommendation system” on GitHub and that the system “ranks everything using a Grok-based transformer model”.”

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Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 06:55

IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation

Published:Dec 23, 2025 02:13
1 min read
ArXiv

Analysis

This article introduces a novel recommendation system, IGDMRec, which leverages graph diffusion techniques conditioned on user behavior for multimodal data. The focus is on improving recommendation accuracy by considering both item features and user interactions. The use of graph diffusion suggests an attempt to capture complex relationships within the data. The multimodal aspect implies the system handles different data types (e.g., text, images).
Reference

“The article is a research paper, so it doesn't contain direct quotes in the typical news sense. The core concept revolves around 'Behavior Conditioned Item Graph Diffusion' for multimodal recommendation.”

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