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#pinterest

The latest AI and developer news about #pinterest, with the original source and a short summary.

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Pinterest Introduces Event-Time Partition Finalization for Stream-Based DB Ingestion

·2026.09.26 00:00

Pinterest Unveils 3-Tower Engagement Co-Train Model: Achieves 1% CTR Lift and 30ms Latency

·2026.09.18 00:00

Pinterest Reduces Costs by Up to 30% with SSD Serving and Quantization in Manas Embedding Search Platform

·2026.09.15 09:00

Evolution of Pinterest's Embedding Search Platform

·2026.09.12 00:00

Building a Pinterest VLM Serving Stack Based on NVIDIA Dynamo

·3·2026.09.11 08:00

AI Adoption Is a Fundamental Shift in Operating Models, Not Just Adding Tools: Evolving AI Teams Through the Pinterest Case Study

·2026.09.02 00:00

Scaling Conditional Learning Retrieval for Pinterest Home Feed

·2026.08.26 23:00

Pinner Progression: Driving Pinterest's Weekly Active User (WAU) Growth Through Improved Use-Case Representation

·2026.07.28 01:00

Securing Infrastructure at Scale: Introducing Pinterest's Resource Provisioner Pipeline (RPP)

·2026.07.23 01:00

How Pinterest Achieved Near-Linear Training Scalability for Its Foundation Model

·2026.06.26 01:00

Automated Schema Evolution in Pinterest's Next-Generation DB Ingestion Framework

·2026.06.25 03:00

Making User Sequence Data More Cost-Efficient, Faster, and Easier to Use

·2026.05.22 01:00

An Engineer's Guide to Better AI Skills: Implementing a Test Process for Agent Optimization

·2026.05.13 01:00

Network Efficiency for ML Workloads (Part 1): Feature Trimmer

·2026.05.02 01:00

From Clicks to Conversions: Designing Pinterest's Shopping Conversion Candidate Generation

·2026.04.28 01:00

Finding a Zombie in the System: A Real-World Case of a CPU Bottleneck

·2026.04.16 01:00

Performance for Everyone

·2026.04.09 01:00

Pinterest Home Feed's Multi-Objective Optimization Evolution

·2026.04.08 01:00

Building an MCP Ecosystem at Pinterest

·2026.03.20 01:00

Pinterest Unifies Ads Engagement Modeling Across Multiple Surfaces

·2026.03.04 05:00

Closing the Gap: Diagnosing the Online–Offline Discrepancy in Pinterest's L1 Conversion Model

·2026.02.28 02:00

Piqama: Pinterest's Quota Management Ecosystem

·2026.02.25 02:00

How Pinterest drastically reduced Apache Spark OOM errors

·2026.02.18 02:00

Lightweight Ad Engagement Prediction with Two-Tower Models Served on GPU

·2026.02.14 08:00

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#pinterest | AI Briefing