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Niantic's AI spinoff, Niantic Spatial, is developing large geospatial models to power real-world AI applications, aiming to map and understand the physical world.

Designing Instagram's feed requires balancing high write and read loads, focusing on media storage and low-latency delivery.

New research reveals Google AI Overviews appear for a subset of queries, and top rankings still matter for visibility.
AI agents are moving beyond simple tasks to complex workflows, while GPU shortages continue to drive up costs, and persistent security vulnerabilities plague the tech landscape.

Scan your codebase for quantum-vulnerable crypto and generate a CBOM with a free GitHub Action.

Benchmarking reveals critical performance differences when LLMs exceed 24GB VRAM, with vLLM failing outright while others degrade severely.

Webhooks are the internet's nervous system. Learn to keep them running reliably with robust retry strategies.

Developers grapple with complex backend logic; manual methods fragment systems, hindering efficient planning and implementation.

LLMs enable turning subjective data into numerical metrics, raising questions about its impact on growth and development.

A comprehensive guide to passing AI engineer interviews, synthesizing data from job descriptions and candidate experiences.

Understand Python's inner workings beyond syntax with code tracing to debug faster and write more predictable code.

A deep dive into H64LM, a research project reimplementing key LLM components in PyTorch to understand modern architectures.

Choosing the right data isolation for your SaaS app is critical. Here's a practical guide for Next.js, Prisma, and PostgreSQL.

Tensey visualizes tensor shapes, parameter counts, and FLOPs, exporting runnable PyTorch code.