Blog — Page 25

OpenAI merges ChatGPT and Codex into a unified agentic platform, with Greg Brockman leading product as the company bets big on AI agents.

The Musk v. Altman trial closes with a central question: can we trust AI leaders? As SpaceX eyes a massive IPO, the founder-driven machine spins on.

OpenAI launches Codex on mobile, letting developers write and edit code directly from smartphones. A major shift in AI-assisted development workflows.

Richard Socher's new startup aims to build AI that improves itself indefinitely. We analyze the implications for the industry and what it means for AGI.

OpenAI may sue Apple over a failed ChatGPT deal, citing unmet subscriber and prominence promises. Tensions escalate between AI and tech giants.

A clear, practical explanation of how LLMs work under the hood — tokenization, transformer architecture, attention mechanisms, and the fundamental limitations that no scaling can fix.

2026 field guide to AI coding assistants: debugging comparison, team selection criteria, code quality impact, and realistic 20-40% productivity benchmarks.

A practical guide to RAG systems that ground LLM responses in real data, covering pipeline architecture, chunking strategies, embedding models, reranking, and common failure modes.

Why prompt engineering remains essential in 2026, how it has evolved beyond simple tricks, and the systematic approaches that work.

Real LLM production costs: context window waste, model evaluation budgets, tiered routing ROI, and a 4x multiplier forecasting methodology for accurate budgeting.

Open-source vs closed AI models in 2026: practical comparison of licensing rights, the 2026 performance gap, total cost of ownership, and why hybrid strategies win.

Why AI agents went from demo curiosities to production tools in 2026, and the architectural patterns that made them reliable.