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The browser wars just shifted into high gear, but this time it’s not about JavaScript performance or CSS features. Firefox 141 landed with production-ready WebGPU support, Safari’s implementation is gaining momentum, and suddenly the browser has become a legitimate platform for AI inference. This isn’t another “coming soon” story—teams are shipping WebGPU-powered AI applications today. […]

Google’s August AI announcements buried the useful updates under flashy consumer features and hardware launches. While everyone focused on new Pixel devices and image editing tricks, the real story is about enterprise capabilities that fundamentally change how teams analyze data, solve complex problems, and prototype ideas. Here’s what actually matters for teams building products and

Most mobile AI today is either terrible or fake. Apps that claim “AI-powered” features are usually just making API calls to OpenAI or Google, burning through your data plan and battery while sending your private information to servers you’ll never see. Liquid AI just changed that equation with LFM2 and LEAP—tools that make genuinely intelligent

Amazon Bedrock AgentCore: Bringing Agentic AI to Production The gap between building an impressive AI agent demo and shipping it to production has historically been enormous. With Amazon Bedrock AgentCore, AWS closes much of that gap. AgentCore provides the unglamorous but critical infrastructure needed to run AI agents at enterprise scale, while Amazon Q Developer

The AI agent worked perfectly in the demo. It could answer questions, search through documents, and even schedule meetings by talking to Slack. But when the enterprise AI team tried to deploy it for 500 users across multiple departments, everything broke. Authentication failed. Memory leaked between sessions. The integration with Salesforce required custom middleware. Observability

The CFO’s question was direct: “Why are we still paying 40% more for database performance we could get cheaper on Graviton?” The engineering team had been putting off the migration for months, citing complexity and uncertainty about .NET compatibility. But the numbers from AWS’s latest Graviton 4 benchmarks made the conversation impossible to avoid. In

The urgency to prepare for a post-quantum world is growing. The cryptographic systems that underpin today’s digital infrastructure, including RSA, ECDSA, and Diffie-Hellman, will be rendered insecure by advances in quantum computing. The challenge is not only technological, but strategic: how do organizations begin to prepare, without knowing exactly when the threat will fully materialize?

The attack happened at 3:17 AM on a Tuesday. A healthcare startup’s AWS root account fell to a sophisticated phishing campaign that bypassed their SMS-based MFA. Within hours, attackers had spun up cryptocurrency mining instances across multiple regions and exfiltrated patient data from their RDS databases. This scenario plays out more often than AWS customers

As the world advances toward a quantum-powered future, organizations must confront a growing yet underappreciated cybersecurity risk: the inevitable obsolescence of current encryption standards. The arrival of fault-tolerant quantum computers may not have a precise calendar date, but their threat to digital infrastructure is real, and irreversible once it materializes. Unlike Y2K, there will be

The notification arrived at 3 AM: “Critical SOC 2 audit finding – unauthorized data access detected.” What started as a routine quarterly review had uncovered a fundamental architectural flaw that threatened the company’s largest enterprise contract. The issue wasn’t a security breach or a failed control—it was an architectural decision made eighteen months earlier that