Tutorials, product updates, and ideas to help you build and ship AI applications faster.
OpenAI's GPT-5.5 leans hard into agentic work. Codex jumped from 3 to 4 million weekly developers in two weeks. Here's what changes for your engineering team.
Anthropic shipped Claude Opus 4.7, Claude Design, and a hosted Managed Agents service in eight days. Together they signal where production AI is going next.
Meta's Llama 4 Scout ships with a 10 million token context window — the largest of any open model. Here's what changes when memory stops being the bottleneck.
Q1 2026 venture funding hit a record 300 billion globally, with 80 percent flowing into AI. Four mega-rounds took 188 billion of that. Here's what the concentration signals.
EY processes 1.4 trillion lines of audit data with AI agents. Reddit cut case resolution times 84 percent. Here's what enterprise agentic AI actually looks like in 2026.
AI agents can perform complex tasks autonomously, moving beyond simple text generation to interact with your business systems, with 40% of enterprise apps expected to use them by 2026.
Morgan Stanley projects AI infrastructure spending to hit $200 billion by 2028. Understand the core components and how to build an AI engine that drives real business value.
An AI scored 83.1% finding software bugs, far outperforming others. Here's what that means for your business cybersecurity strategy.
Proprietary LLMs aren't the only game in town anymore. Discover how open-source models like Llama 4 and Gemma 4 offer cost savings, privacy, and customization for your business in 2026.
The era of single, monolithic AI models is fading. Discover how hybrid architectures like MoE and RAG are reshaping LLM capabilities, offering new trade-offs for businesses.
Discover how Model Context Protocol (MCP) slashes AI integration costs by an average of 37%, giving your business a competitive edge.
Learn how Retrieval-Augmented Generation (RAG) lets AI answer questions using your private data, with costs around $0.001 per query and latency under 800ms.
A deep dive into Google's TurboQuant, revealing how it cuts large language model memory needs by 6x with minimal quality loss, making AI cheaper and faster.
NVIDIA's new Ising models use AI to fix quantum computers' biggest problems, speeding up development by up to 2.5x.
Understand the EU AI Act's impact on your business by 2026, covering risk tiers, generative AI rules, and compliance for companies serving EU users, with fines up to €35M.
An AI code assistant hallucination leads to a new supply chain attack called slopsquatting, impacting software security. Learn how it works and how to protect yourself.
