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.

Python fits into quantitative and algorithmic trading education because it connects ideas with implementation. It removes ...

Sophie Koonin discusses the realities of large-scale technical migrations, using Monzo’s shift to TypeScript as a roadmap. She explains how to handle "bends in the road," from documentation and ...

ProEssentials v10 introduces pe_query.py, the only charting AI tool that validates code against the compiled DLL binary ...

Earlier this week, Dan Blanchard, maintainer of a Python character encoding detection library called chardet, released a new version of the library under a new software license. In doing so, he may ...

Someone spent a couple of hours with the AI-generated vibe-coded operating system Vib-OS, and it's about as bad as you'd expect, probably worse.

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

New malware spreads via fake GitHub downloads, stealing browser passwords, crypto wallets, Discord tokens, and credit card ...

A resistor in the cloud is worth two in the hand.

Operational penetration testing is a process of simulating real-world attacks on OT systems to identify vulnerabilities before cybercriminals can exploit them, either physically or remotely. OT ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...