Find your next rabbit hole.

An AI podcast and newsletter combining interviews with researchers and builders, commentary, and Nathan Labenz’s educational AI Scouting Reports.

An open-source generative AI workflow platform that grew from diffusion experiments into local and cloud tools for creative production.

Ahmad Awais’s company, formerly Langbase, builds a coding agent that learns developers’ preferences from their interactions and carries them across projects.

CoreWeave combines GPU infrastructure, model-serving tools, shared-cluster scheduling and agent execution in a capital-intensive AI cloud.

A British AI company whose work evolved from codebase retrieval and the Genie software-engineering agent to secure deployments and the planned Lumen Sovereign model.

From Statsbot’s metric-to-SQL infrastructure to an open-source semantic layer and first-party agentic analytics.

CuspAI develops generative AI and molecular-simulation tools for materials discovery, combining computational design with industrial expertise and experimental feedback.

Databricks combines data engineering, analytics, model development, and agent infrastructure in a shared platform, building on its origins in Berkeley research and Apache Spark.

DatologyAI builds automated training-data curation infrastructure, with research spanning synthetic pretraining data, multilingual datasets, fast embeddings, vision-language models and autonomous data research.

Daytona shifted from development environments for human engineers to stateful computers for AI agents, pairing fast sandbox startup with persistent state and infrastructure for bursty research workloads.

The AI research organization behind AlphaGo and AlphaFold, combined with Google Brain in 2023 to form Google DeepMind and develop Gemini.

A Hangzhou AI company whose model generations connect sparse computation, compressed attention, reinforcement learning and GPU communication with changing products and economics.