Pulumi ESC’s new OIDC token provider replaces long-lived stored API keys with short-lived credentials that expire automatically. Here’s why that matters for your infrastructure.
Microsoft’s 2.8 Trillion Parameter Model Is a Signal, Not Just a Stat
Microsoft’s MAI-Base-2 is a 2.8 trillion parameter Mixture of Experts model designed for enterprise agentic tasks. Here’s what it means for businesses using Azure.
How Netflix Keeps GPU Infrastructure Running Through Hardware Failures
A GPU can pass every cloud provider health check and still corrupt a training job. Netflix published their four-layer reliability system for GPU infrastructure this week, and the lessons apply well beyond their scale.
AI Agents That Get Better Without Being Retrained: Google’s Harness² Explained
Google Research just published Harness², an open-source framework that lets AI agents automatically refine their own prompts, tools, and memory between tasks — no model retraining required. Here’s what it means for businesses building AI workflows.
AWS Lambda Web Functions: Deploy Your Express App Without Rewriting Anything
Most AWS Lambda tutorials start with the same awkward step: take your web application and break it into a pile of event-handler functions. Every route becomes its own Lambda. Your Express middleware disappears. Your Next.js app becomes an archaeology project.
Claude Now Manages Its Own AI Agents. Here’s What That Means for Business Automation.
You hand a project to one AI assistant and it’s done in minutes. You hand it something bigger, and suddenly you need five assistants, a coordinator, and someone keeping track of who passed what to whom. Anthropic just changed who
Atlassian and OpenAI Just Made Jira Smarter. Your Dev Team Will Feel It.
Atlassian and OpenAI Just Made Jira Smarter. Your Dev Team Will Feel It. Three thousand Atlassian developers already use Codex in their daily workflow. That’s not a beta test or a pilot program. It’s production-scale adoption, and it sets the
Microsoft Built Its Own AI Chip. Here’s Why That Changes AI Costs.
Microsoft Built Its Own AI Chip. Here’s Why That Changes AI Costs. The world runs AI on NVIDIA hardware. That single dependency has made GPU supply chains a strategic bottleneck for companies building AI products, driven up the cost of
DigitalOcean MicroVMs Pause When Idle and Resume in Milliseconds. Here Is Why That Matters for Your Infrastructure Bill.
Running a CI/CD pipeline that fires a hundred short jobs a day? Or an AI coding agent that needs a clean, isolated environment for each task? You’ve probably been paying for servers that sit idle between those bursts — because
Microsoft Just Released an AI Model That Is 35x Faster Than GPT-6 Sol, and It Does Not Write a Single Word
Most AI costs in a real workflow don’t come from the big expensive model. They come from the dozens of small questions your system needs to answer before the big model ever speaks: Is this request safe to process? Which