All AI news
Browse, filter, and search every article in the archive. The homepage shows the last 24 hours; everything older lives here.
Databricks and NVIDIA: Building for the Agentic Era
Databricks and NVIDIA are collaborating to enhance AI capabilities for agentic systems. This partnership aims to streamline the development of autonomous AI applications, making it easier for businesses to implement advanced AI solutions.
AI coding agents taught robots how to install GPUs and cut zip ties
AI coding agents just taught robots how to install GPUs and cut zip ties. This means robots can now perform specific tasks autonomously, enhancing their utility in various environments.
Introducing the Agentic CDP: A New Species of CDP for a New Era of Agents
Databricks just launched the Agentic CDP, a new customer data platform designed for the era of AI agents. This platform aims to streamline data management and enhance the capabilities of autonomous systems in handling customer interactions.
Safeguard your agentic AI applications with the Amazon Bedrock Guardrails InvokeGuardrailChecks API
AWS just launched the InvokeGuardrailChecks API to enhance safety for agentic AI applications. This feature helps developers implement guardrails, ensuring their AI systems operate within safe boundaries.
Hands Free, AIs Forward: NVIDIA XR AI Brings Agents to AR Glasses
NVIDIA just introduced XR AI for AR glasses, integrating AI agents to enhance user interaction. This means users can now engage with their environment more intuitively through voice commands and AI assistance.
Unlocking UK house-building with AI-accelerated planning
Google DeepMind is using AI to streamline house-building planning in the UK. This innovation aims to speed up the approval process, making it easier to address housing shortages.
Introducing OpenSharing: the Next Evolution of Delta Sharing for the Agentic Era
Databricks just launched OpenSharing, an evolution of Delta Sharing designed for agentic systems. This update enhances data sharing capabilities, making it easier for AI agents to access and utilize data across different platforms.
Introducing Genie ZeroOps: Put your data and AI operations on autopilot
Databricks just launched Genie ZeroOps to automate data and AI operations. This means users can streamline workflows and reduce manual intervention in managing their AI systems.
Lakeflow: A new era of agentic data engineering
Databricks just launched Lakeflow, a new platform for agentic data engineering. It enables users to automate data workflows and manage data pipelines more efficiently using AI agents.
Introducing Genie One, Genie Agents, and Genie Ontology
Databricks just launched Genie One and Genie Agents to streamline data workflows. These tools help users automate tasks and manage data more efficiently, enhancing productivity across projects.
Unifying Data and Governance in the Agentic Era: What’s New with Azure Databricks
Azure Databricks just introduced new features to unify data and governance for AI agents. This update streamlines how organizations manage data across their AI workflows, making it easier to ensure compliance and efficiency.
Announcing Lakebase Search: agent-native retrieval built into Lakebase Postgres
Databricks just launched Lakebase Search, an agent-native retrieval feature integrated into Lakebase Postgres. This allows AI agents to efficiently access and retrieve data directly from the database, streamlining workflows for users.
Introducing CustomerLake: The Agentic CDP embedded in Databricks
Databricks just launched CustomerLake, an agentic Customer Data Platform (CDP) embedded within their platform. This allows businesses to automate data handling and insights generation, streamlining customer engagement processes.
Google Cloud's Open Knowledge Format turns scattered docs into Markdown files for AI agents
Google Cloud just launched the Open Knowledge Format, which converts scattered documents into Markdown files for AI agents. This makes it easier for AI to access and process information from various sources efficiently.

AI coding agents find the right file but miss the exact lines that matter, study shows
AI coding agents are successfully locating the right files but often overlook the specific lines of code that are crucial. This gap means developers might still need to manually check the outputs for accuracy.

Introducing Omnigent: A Meta-Harness to Combine, Control and Share Your Agents
Databricks just launched Omnigent, a new meta-harness for managing multiple AI agents. Users can now combine, control, and share their agents more efficiently, streamlining workflows across different tasks.
How we made GitHub Copilot CLI more selective about delegation
GitHub just improved Copilot CLI's delegation process to be more selective. This change helps users get more relevant suggestions and reduces unnecessary outputs during coding tasks.
NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark
NVIDIA just launched Blackwell, the first benchmark for agentic AI infrastructure. This sets a new standard for evaluating how well AI systems can operate autonomously and complete complex tasks.
Building Supercharger: How Rocket Close optimized title operations with agentic AI
Rocket Close optimized title operations using agentic AI to streamline processes. This enhancement allows for faster and more efficient title management, improving overall workflow efficiency.
Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world
Jeff Bezos’s Prometheus just raised $12 billion to develop an 'artificial general engineer' focused on the physical world. This funding aims to advance AI capabilities in real-world engineering tasks, potentially transforming industries reliant on physical labor.