Agentic Postgres: Postgres for Agentic Apps with Fast Forking and AI-Ready Features

Tiger Data, the company behind TimescaleDB, has launched Agentic Postgres, a Postgres-based database designed for both AI agents and developers. It extends Postgres with fast forking, an MCP server, native BM25 and vector search, and includes a CLI for terminal access.

Meta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization

Now stable, Ax is an open-source platform from Meta designed to help researchers and engineers apply machine learning to complex, resource-intensive experimentation. Over the past several years, Meta has used Ax to improve AI models, accelerate machine learning research, tune production infrastructure, and more.

Google Metrax Brings Predefined Model Evaluation Metrics to JAX

Recently open-sourced by Google, Metrax is a JAX library providing standardized, performant metrics implementations for classification, regression, NLP, vision, and audio models.

Neptune Combines AI‑Assisted Infrastructure as Code and Cloud Deployments

Now available in beta, Neptune is a conversational AI agent designed to act like an AI platform engineer, handling the provisioning, wiring, and configuration of the cloud services needed to run a containerized app. Neptune is both language and cloud-agnostic, with support for AWS, GCP, and Azure.

Microsoft Research Develops Novel Approaches to Enforce Privacy in AI Models

A team of AI researchers at Microsoft introduces two novel approaches for enforcing contextual integrity in large language models: PrivacyChecker, an open-source lightweight module that acts as a privacy shield during inference, and CI-CoT + CI-RL, an advanced training method designed to teach models to reason about privacy.