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Pinterest's Ads team developed transformer-based behavioral sequence models to improve ad candidate generation using users' offsite activity history.
This post identifies a late-phase instability mechanism in production-scale reinforcement learning for tool-using agents, caused by tool-conditioned variance amplification.
This article traces the career journey of Peter Coles, Airbnb's Head Economist for Policy and Director of Data Science, from academia to tech industry leadership.
Josh Clemm, VP of Engineering at Dropbox, explains how Dash uses knowledge graphs, MCP, and DSPy to build a universal work search and AI assistant.
This article covers the engineering challenges behind building an animated ASCII banner for GitHub Copilot CLI, requiring over 6,000 lines of TypeScript.
This post introduces Gemini CLI hooks, a mechanism to customize the AI agent's behavior by running scripts at predefined lifecycle points without modifying its source code.
LiteRT is Google's universal on-device AI inference framework evolved from TensorFlow Lite, now with full GPU and NPU acceleration across platforms.
This guide walks through setting up a local Kubernetes Gateway API experimental environment using kind (Kubernetes in Docker) for learning and testing purposes.
Cluster API v1.12.0 introduces two major features—in-place updates and chained upgrades—to reduce friction in Kubernetes cluster lifecycle operations.
WhatsApp rolled out a Rust-based media validation library to billions of devices as a defense-in-depth security layer against malicious files.
This post describes a proof-of-concept Matrix homeserver ported to Cloudflare Workers, eliminating traditional operational overhead while adding post-quantum cryptography.
Supabase PrivateLink is now available, enabling secure private connectivity to Supabase databases without routing traffic over the public internet.
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