NASA's Perseverance rover completed the first AI-planned drive on Mars using Anthropic's Claude. Here's the technical breakdown of how vision-language models are transforming space exploration.
Anthropic just dropped Claude Opus 4.6 with game-changing features: agent teams that work in parallel, a 1 million token context window, and benchmarks that put OpenAI on notice. Here's everything you need to know.
Anthropic spent millions on Super Bowl commercials pledging Claude will remain ad-free forever, taking direct aim at OpenAI's ad-supported ChatGPT model. A business model war is brewing.
Anthropic launches domain-specific plugins for Claude Cowork with MCP integrations for Slack, Figma, Salesforce, and more. AI agents now work like specialized teammates across business functions.
Anthropic releases Claude Sonnet 5 codenamed Fennec with 82.1% SWE-Bench score, surpassing Opus 4.5. Optimized for Google's Antigravity TPU with 1M token context at $3/M input tokens.
Goldman Sachs partnered with Anthropic to build autonomous AI agents for accounting and compliance. Here's how they did it, what they learned, and what other enterprises can take from this deployment.
OpenAI and Anthropic released their flagship coding models on the same day. We compare GPT-5.3 Codex and Claude Opus 4.6 across benchmarks, pricing, developer experience, and real-world coding tasks.
Anthropic's Claude Opus 4.6 discovered over 500 previously unknown high-severity vulnerabilities in open-source software. Here's what this means for cybersecurity, developers, and the future of AI-powered security research.
Model Context Protocol is the new standard for connecting AI to external tools. Here's a practical guide to building, deploying, and debugging MCP servers — with real code examples from production.
A comprehensive guide to building production-ready AI applications in 2026. Compare GPT-4.5, Claude Opus 4.5, and Gemini 2.0, learn best practices for prompt engineering, and optimize costs.
GitHub Copilot vs Cursor vs Claude Code - which AI assistant actually saves you time? A practical comparison based on real-world testing and developer workflows.