When ChatGPT Goes Down, What's Your Failover?
ChatGPT was having issues yesterday for me and my wife — and it got me thinking.
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Thoughts on AI engineering, machine learning, and full-stack development
The RAM and Storage Crisis of 2026: How Hardware Shortages Are Reshaping Server Procurement
The data center industry is facing an unprecedented hardware crunch in 2026. Memory prices have skyrocketed 50-60% over the past year, with forecasts predicting another 30-40% increases. Lead times stretch 6-8 weeks and beyond. This article examines the crisis and practical strategies.
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Technology
Machine Learning
AI Engineering
Infrastructure
AI & Machine Learning
Technology Leadership
FinOps in the Age of AI: Managing Cloud Costs When Compute Bills Explode
AI workloads are driving cloud costs to unprecedented levels. Traditional optimization isn't enough anymore. Here's a practical framework for managing AI infrastructure costs without stifling innovation.
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Nvidia's $5 Trillion Milestone Reveals a Hidden Crisis: Where Will We Find the Power?
Nvidia became the first company to reach $5 trillion, with $500B in AI chip orders. But when a vendor asked for 20 megawatts of power, I realized the real bottleneck isn't chips—it's electricity.
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Python's Still Got It: The 33-Year-Old Language Just Had Its Best Year Ever
Python just posted a 7-point surge and hit 25.35% market share—the highest any language has achieved in 24 years. Here's why this matters for your tech strategy, your hiring plans, and why AI is making Python even more valuable than ever.
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Automating Your Business Operations: Why n8n is the Self-Hosted Alternative to Zapier You Need
Discover how n8n, the open-source workflow automation platform, can eliminate repetitive business tasks for a fraction of Zapier's cost. From customer onboarding to invoice processing, learn how to build powerful automations without breaking the bank.
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Claude Code Takes a Leap Forward: Autonomous Development Features Change the Game
Anthropic's latest update to Claude Code introduces groundbreaking autonomous features including checkpoints, subagents, hooks, and background tasks — fundamentally changing how developers interact with AI coding assistants.
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