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105 sources in the directory · Latest publication in this list: 2026-06-13 00:30 UTC.

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2026-06-13

From Wall Street to Data Platforms

Kim Hatton's transition from finance to Databricks shows how the company values deep industry expertise to solve modern data challenges. The article discusses marketing, technology, and AI in regulated industries.

Databricks BlogAgents / PolicyIn-site articleFrom Wall Street to Data Platforms

2026-06-12

OpenAI WebRTC Audio Session, now with document context

Simon Willison updates his OpenAI WebRTC Audio Session tool to support the new GPT-Realtime-2 model and allow pasting document context for conversational audio exploration.

Simon Willison's WeblogModels / ResearchIn-site articleOpenAI WebRTC Audio Session, now with document context
How we made GitHub Copilot CLI more selective about delegation

GitHub Copilot CLI now uses smarter subagent delegation to reduce unnecessary handoffs and wait times. Production A/B testing shows a 23% reduction in tool failures and a 5% improvement in user wait time. The article details how the team identified delegation bottlenecks, refined the orchestration policy, and validated improvements.

GitHub AI & MLAgentsIn-site articleHow we made GitHub Copilot CLI more selective about delegation
NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark

Artificial Analysis released AgentPerf, the industry's first benchmark for agentic AI. Initial results show NVIDIA Blackwell Ultra NVL72 leading, running 20x more agents per megawatt than Hopper. The benchmark measures how many concurrent agentic tasks a platform can support under real-world coding agent workloads.

NVIDIA BlogAgents / ChipsIn-site articleNVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark
Building Supercharger: How Rocket Close optimized title operations with agentic AI

Rocket Close collaborated with AWS to create Supercharger, an agentic AI solution using Strands Agents, Amazon Bedrock, and MCP tools to streamline title operations. By centralizing knowledge and automating research-heavy tasks, the solution reduced contact center calls and emails by 30%, improved title exam accuracy, and enhanced client satisfaction. This post details the technical architecture, business impact, and lessons learned.

AWS Machine Learning BlogAgents / ResearchIn-site articleBuilding Supercharger: How Rocket Close optimized title operations with agentic AI