canvas got hacked through a free teacher account. 30 million students. patched it once, hackers came back a week later. put a ransom note on the login page. during finals. the entry point was a feature nobody thought to audit. it always is.

GM just fired 600 IT people and is hiring "AI-native developers" instead. They call it a skills swap. The people who know how GM's systems actually work leave. The people who know AI but have never seen the systems arrive. The knowledge just vanishes. Nobody notices until production breaks.

Shell shortage nearly cost Ukraine the war. FPV drones fixed that. Then Russia put them on fiber optic cable and they became unjammable. Now AI data centers are buying up the same fiber. Price went from $4 to $50/km. A Starlink terminal costs less than one spool. techtrenches.dev/p/silicon-va...

Palantir CEO is in Kyiv today meeting Zelensky. 100+ companies training 80+ AI models on real combat data. drone interception, target detection. While Silicon Valley argues about benchmarks, Ukraine is testing AI where failure means people die.

NVIDIA made $120B profit. OpenAI lost $14B. Same economy, two different bubbles. The infrastructure layer prints money. The application layer burns it. And every query costs compute, so scale doesn't fix the math. Who survives the correction? techtrenches.dev/p/the-ai-ind...

We trained AI on 518 million GitHub repos. Most of them are student projects, abandoned prototypes, and unreviewed Stack Overflow pastes. Then we were surprised that the output is mediocre. The model isn't broken. It learned exactly what we taught it. techtrenches.dev/p/ai-is-a-mi...

3 AM. Production down. Your name on the commit. Doesn't matter if you trusted the AI or validated every line until your eyes gave out. The incident report has your name either way. That's the senior engineer in 2026. techtrenches.dev/p/the-human-...

AI that actually matters: Michigan researchers trained a model to diagnose heart conditions from a basic EKG strip. Previously needed: expensive MRI, specialist, big hospital. Now needed: 10 seconds, basic equipment any ER has. Not another chatbot. Medicine that scales to where doctors aren't.

4x token throughput on NVIDIA's Nemotron 3 Nano. 1M context window. We've been testing inference costs across our clients' projects. Parameter count stopped mattering 6 months ago. Cost per token is all anyone asks about now. The "biggest model" era is over.