Microsoft's Majorana 2 Is the Quantum Chip That Made 2029 Feel Real
Microsoft's Majorana 2 hits 1,000× better qubit reliability via one material swap — and now 2029 feels like an infrastructure date, not a quantum research projection.
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Thoughts on AI engineering, machine learning, and full-stack development
$35 Billion, 20 Gigawatts: The Deal That Rewired AI Infrastructure Financing
Broadcom, Apollo, and Blackstone's $35B AI XPV Platform targets 20+ gigawatts of compute for frontier AI labs by 2028. Here's why the financing model matters more than the number.
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Xcode 27 Goes Agentic: Apple's WWDC 2026 Bet on Multi-Model Developer Infrastructure
Apple didn't just ship a new IDE at WWDC 2026 — they shipped an agent-first development platform pulling from Anthropic, Google, and OpenAI. Here's what matters for engineers.
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When the Cloud Pulls the Plug: Lessons from Railway's GCP Suspension
On May 19, 2026, an automated GCP suspension took Railway offline for hours. The lesson isn't about Railway — it's about every business running on a single hyperscaler.
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New Linux Vulnerability Found
Copy Fail, tracked as CVE-2026-31431, is a newly disclosed Linux kernel vulnerability that turns a tiny write into full local privilege escalation.
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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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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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Machine Learning
AI Engineering
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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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