#LLM

More AI agents isn't always better. A joint study from Google and MIT provides a quantitative answer to the optimal size and structure of AI agent systems, with key guidelines for developers and decision-makers.

AI coding agents from OpenAI, Anthropic, and Google are transforming software development. Understand how LLM technology works, its potential pitfalls, and what developers need to know.

When an OpenAI researcher claimed GPT-5 solved 10 unsolved math problems, Google DeepMind's CEO called it 'embarrassing.' Here's the real story behind the AI hype and what it means for actual progress.

From LLM to hallucination, understand the essential AI terms you need to know in 2025. A jargon-free guide for beginners.

Palona AI, led by Google and Meta veterans, pivots from D2C chatbots to a full-stack AI operating system for restaurants. We analyze their tech—an orchestration layer for 'shifting sand' LLMs, a custom 'Muffin' memory system, and the 'GRACE' framework—for building a vertical AI powerhouse.

We tested AI on the classic game Minesweeper. Our analysis reveals the true capabilities and critical flaws of modern AI in the future of software development.

AI pioneer Yann LeCun launches AMI Labs with a €3B valuation to build 'world models,' a direct challenge to the LLM dominance of OpenAI. Here's why it matters.

Google's Gemini 3 Flash is more than a faster AI model. It's a strategic move to commoditize AI, shifting the battle from performance to scale. Here's why it matters.

OpenAI's new GPT-5.2 model signals a major shift from creative AI to reliable 'agentic workflows.' We analyze why this changes the enterprise AI landscape.

Our analysis of OpenAI's GPT-5.2 reveals a major strategic pivot from AI copilots to autonomous agents, fundamentally altering the future of work and enterprise AI.