faang - Robotic Content

Run real-time and async inference on the same infrastructure with GKE Inference Gateway

by AI Generated Robotic ContentFAANG April 2, 2026Comments are Disabled

As AI workloads transition from experimental prototypes to production-grade services, the infrastructure supporting them faces a growing utilization gap. Enterprises today typically face a binary choice: build for high-concurrency, low-latency real-time requests, or optimize for high-throughput, “async” processing. In Kubernetes environments, these requirements are traditionally handled by separate, siloed GPU and TPU accelerator clusters. Real-time …

ProText: A Benchmark Dataset for Measuring (Mis)gendering in Long-Form Texts

by AI Generated Robotic ContentFAANG April 1, 2026Comments are Disabled

We introduce ProText, a dataset for measuring gendering and misgendering in stylistically diverse long-form English texts. ProText spans three dimensions: Theme nouns (names, occupations, titles, kinship terms), Theme category (stereotypically male, stereotypically female, gender-neutral/non-gendered), and Pronoun category (masculine, feminine, gender-neutral, none). The dataset is designed to probe (mis)gendering in text transformations such as summarization and …

Build reliable AI agents with Amazon Bedrock AgentCore Evaluations

by AI Generated Robotic ContentFAANG April 1, 2026Comments are Disabled

Your AI agent worked in the demo, impressed stakeholders, handled test scenarios, and seemed ready for production. Then you deployed it, and the picture changed. Real users experienced wrong tool calls, inconsistent responses, and failure modes nobody anticipated during testing. The result is a gap between expected agent behavior and actual user experience in production. …

Entropy-Preserving Reinforcement Learning

by AI Generated Robotic ContentFAANG March 31, 2026Comments are Disabled

Policy gradient algorithms have driven many recent advancements in language model reasoning. An appealing property is their ability to learn from exploration on their own trajectories, a process crucial for fostering diverse and creative solutions. As we show in this paper, many policy gradient algorithms naturally reduce the entropy—and thus the diversity of explored trajectories—as …

How Ring scales global customer support with Amazon Bedrock Knowledge Bases

by AI Generated Robotic ContentFAANG March 31, 2026Comments are Disabled

This post is cowritten with David Kim, and Premjit Singh from Ring. Scaling self-service support globally presents challenges beyond translation. In this post, we show you how Ring, Amazon’s home security subsidiary, built a production-ready, multi-locale Retrieval-Augmented Generation (RAG)-based support chatbot using Amazon Bedrock Knowledge Bases. By eliminating per-Region infrastructure deployments, Ring reduced the cost …

Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

by AI Generated Robotic ContentFAANG March 29, 2026Comments are Disabled

Existing feed-forward 3D Gaussian Splatting methods predict pixel-aligned primitives, leading to a quadratic growth in primitive count as resolution increases. This fundamentally limits their scalability, making high-resolution synthesis such as 4K intractable. We introduce LGTM (Less Gaussians, Texture More), a feed-forward framework that overcomes this resolution scaling barrier. By predicting compact Gaussian primitives coupled with …

To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models

by AI Generated Robotic ContentFAANG March 28, 2026Comments are Disabled

State Space Models (SSMs) have become the leading alternative to Transformers for sequence modeling. Their primary advantage is efficiency in long-context and long-form generation, enabled by fixed-size memory and linear scaling of computational complexity. We begin this work by showing a simple theoretical result stating that SSMs cannot accurately solve any “truly long-form” generation problem …

How to build production-ready AI agents with Google-managed MCP servers

by AI Generated Robotic ContentFAANG March 28, 2026Comments are Disabled

As developers build AI agents with more sophisticated reasoning systems, they require higher-quality fuel–in the form of enterprise data and specialized tools–to drive real business value. To get the most out of that octane-rich mix, we offer Google-managed model context protocol (MCP) servers: an engine purpose-built for AI agents to interact securely with Google and …

Drop-In Perceptual Optimization for 3D Gaussian Splatting

by AI Generated Robotic ContentFAANG March 27, 2026Comments are Disabled

Despite their output being ultimately consumed by human viewers, 3D Gaussian Splatting (3DGS) methods often rely on ad-hoc combinations of pixel-level losses, resulting in blurry renderings. To address this, we systematically explore perceptual optimization strategies for 3DGS by searching over a diverse set of distortion losses. We conduct the first-of-its-kind large-scale human subjective study on …

Frontend Engineering at Palantir: Redefining Real-Time Map Collaboration

by AI Generated Robotic ContentFAANG March 27, 2026Comments are Disabled

How we built lightweight, real-time map collaboration for teams operating at the edge. About This Series Frontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but …