Simon Willison details how Claude Fable 5 autonomously debugged a CSS scrollbar bug using numerous creative techniques, including writing test pages, injecting JavaScript, and building a CORS server. The session cost ~$12.11 and highlights both the power and danger of unsandboxed coding agents.

Mercedes-Benz Korea built a unified semantic layer on Databricks, migrating over 500 KPIs from Power BI to Unity Catalog, leveraging Genie and Agent Bricks to enable consistent semantics for BI and AI. An automated DAX-to-Metric-View transpiler accelerated the migration, providing a reference for other markets.

Databricks formalizes its Forward Deployed Engineering (FDE) organization to accelerate customer business outcomes with AI, combining the Lakehouse platform with embedded engineering, a global partner network, and direct R&D interlock. The team has worked with over 1,900 customers in the past year, including Fox, JPMC, and Qualcomm, delivering measurable results such as doubled search success rates, massive data migrations, and reduced workflow times from days to minutes.

Benchling's Head of AI Nicholas Larus-Stone discusses building agents for life sciences on the Max Agency podcast. He explains their multi-model approach for quality, production trace review processes, and how agents compress workflows to accelerate scientific discovery. Benchling AI launched in October 2025 on top of a 14-year-old data platform.

Databricks' Zerobus Ingest is a serverless streaming API that enables petabyte-scale data pipelines without manual infrastructure management. Using dynamic partitioning and zero-copy protobuf decoding, it ingested 1 PB from NASA's NEOWISE dataset in 24 hours, sustaining 12 GB/s throughput.

This post demonstrates an intelligent document processing pipeline that consists of both on-demand inference and batch inference options on Amazon Bedrock to enable the flexibility on the document processing time and cost.

ERGO Hestia modernized its real-time pricing engine with Databricks Lakebase and Mosaic AI Model Serving, bringing data, features, and decisions into one lakehouse-native platform for millisecond pricing, faster model deployment, and unified governance.

Databricks launched its inaugural Student Fellows cohort, selecting a highly diverse group of students from over 5,000 applications across hundreds of universities worldwide. The fellows, chosen for campus leadership and technical expertise, will bridge academic theory and real-world data/AI practice through workshops, hackathons, and mentorship programs.