LocalGPT's architecture reveals the future: sophisticated AI tooling that runs locally, compounds knowledge over time, and never phones home your data.

Multi-agent coordination isn't just a feature—it's how AI companies will differentiate when base model capabilities plateau.

Forget ChatGPT demos. This is AI's real killer app: making physical R&D faster and cheaper through closed-loop automation.

This is the moment coding assistants become coding colleagues. Most coverage misses that 'long-horizon' means OpenAI solved the context problem.

Frontier is table stakes, not innovation. The real race is who builds the best agent orchestration, and OpenAI just admitted they're behind.

This experiment proves multi-agent AI can tackle complex engineering tasks, but everyone's focused on the wrong metrics.

This is what real AI adoption looks like - not chat apps, but models embedded where companies already keep their crown jewels: their data.