I’m a backend engineer who transitioned from building distributed systems to building with large language models. I write about the architecture behind AI products—things like retrieval-augmented generation, model serving, and latency optimization. My focus is on the practical side of making AI work in production.
Between March 10-16, 2026, six major AI companies launched twelve distinct models in what engineers are calling the 'model avalanche.' OpenAI, Google, xAI, Anthropic, Mistral, and Cursor all shipped within an unprecedented seven-day window. Here's what it means for the industry.
![[Neuromorphic Computing]: How Brain-Inspired Chips Are Challenging the AI Hardware Status Quo by Aris Thorne - AI Infrastructure tutorial](/blog-images/1774830984885-6aljuz.webp)
Neuromorphic computers modeled after the human brain can now solve complex physics equations—something previously possible only with energy-hungry supercomputers. This breakthrough could fundamentally reshape AI hardware economics.
![[Healthcare AI]: UnitedHealthcare's Avery - How Big Insurance is Using AI to Fix Healthcare's Navigation Problem by Aris Thorne - AI Business tutorial](/blog-images/1774831151315-0ed1qf.webp)
UnitedHealth Group has launched Avery, an AI companion designed to simplify benefits navigation, appointment scheduling, and claims management for 20.5 million members. It's the biggest healthcare AI rollout yet—but can AI actually fix healthcare?
OpenAI's aggressive spending meets Anthropic's surprising efficiency as the AI race enters a new phase of sustainable growth and strategic differentiation.
Apple's planned iOS 27 update will let users route Siri queries to any AI assistant, marking a fundamental shift from exclusive partnerships to platform strategy.
As OpenAI projects $14 billion in losses for 2026, Anthropic quietly closes the revenue gap—revealing two very different business models in the AI race.
![[AI Chips]: Arm's $15 Billion Bet: The AGI Chip That Could Reshape Data Centers by Aris Thorne - AI Infrastructure tutorial](/blog-images/1774572004655-7ahdec.jpeg)
Arm announces a new AGI-focused CPU targeting $15 billion in annual revenue by 2031, with the CPU total addressable market projected to reach $100 billion.
Explore KubeClaw (now sympozium), an open-source framework for orchestrating fleets of AI agents on Kubernetes. Learn how sidecar containers, ephemeral RBAC, and Kubernetes-native isolation enable safe multi-agent workflows for cluster administration.
Inside Apple's unprecedented deal with Google that gives Cupertino 'complete access' to Gemini for building on-device AI models.
How Google's new compression technology could reduce AI memory requirements by 6x and reshape the semiconductor industry.
How Linear's adoption of agentic AI is fundamentally reshaping project management and declaring traditional issue tracking dead.
Google's new TurboQuant algorithm achieves 6x memory reduction and 8x performance increase in AI inference, sparking 'Pied Piper' comparisons across the tech industry.