Netflix Conductor 4.0: Scaling Workflows to 30,000 Tasks with Asynchronous EvaluationA workflow orchestrator can coordinate thousands of operations and still hit a scalability ceiling—not because individual tasks are too expensive, but because the engine spends too much time deciding 2d ago · 4 min readaidatalegends.hashnode.dev
OpenAI Dots: A Persistent Cloud Agent for 4,000+ AppsOpenAI says Dots are always-on agents running on GPT-6 Astra with a dedicated cloud computer, and that they reach over 4,000 apps through a plugin ecosystem. For engineers, the interesting question is4d ago · 3 min readaidatalegends.hashnode.dev
GPT-6.1 Sol on Amazon Bedrock: Near-Astra performance at a fraction of the costOpenAI has introduced GPT-6.1 Sol, a new model designed to bring much of GPT-6 Astra's capability to workloads where cost matters. The headline is simple: OpenAI says GPT-6.1 Sol approaches GPT-6 Astr4d ago · 5 min readaidatalegends.hashnode.dev
Databricks Lakehouse Platform for Real-Time, Agentic Data and AI WorkloadsFor years, data engineering has often meant connecting systems that were never designed to work together. ERP data lives in one place. Manufacturing data lives somewhere else. Application events arriv4d ago · 4 min readaidatalegends.hashnode.dev
Google Research Proposes Contextual Integrity Policy Engines and Multi-Agent Benchmarks for Agentic PrivacyAI agents are becoming increasingly capable of doing things on our behalf. They can read documents, access databases, call APIs, use external tools, communicate with other agents, and execute long-run4d ago · 5 min readaidatalegends.hashnode.dev