Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...

If you're still dealing with "Storage Full" alerts on your shiny new iPhone in 2026, you're doing something wrong. Whether you're recording 4K video of a weekend getaway or snapping thousands of pet ...