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#6192: What Actually Happens When You Train a Model
Data in, model out — except the "data" is pairs, the split is the whole game, and one leaked speaker can fake your score.
#6191: What Actually Happens During Fine-Tuning
Sixteen bytes per parameter in, two out — a walk through the forward pass, backward pass, and optimizer that turn a dataset into new weights.
#6190: When Your AI API Quietly Changes Under You
Same API name, different model behind it. How to tell when the thing you tested stops being the thing you're using.
#6189: What "Real" Improvement Actually Means in AI Evals
A p-value isn't the probability your result was luck. Here's what chance actually means in AI benchmarks — and why bold numbers need cross-examinat...
#6188: Every Way Linux Relieves Memory Pressure
Zram, zswap, swappiness, and the OOM killers — the full ladder Linux climbs when RAM runs out, and what to actually run.
#6187: Can Your Laptop Borrow Your Desktop's RAM?
Two gigabytes free on the laptop, sixty-four idle on the desktop next door. Can swap over the network actually help?
#6186: A Virtual Disk Inside Your Linux Filesystem
Loop devices let a plain file act as a real disk — format it, encrypt it, mount it from fstab. Here's what works, and what bites back.
#6185: Why AI Labs Sell a Tier Above the Flagship
Fable, Deep Think, SuperGrok Heavy — what the $300/month top tier actually does that the flagship can't.
#6184: Anthropic's Unreleased Model Two, Explained
Anthropic trained a model better than what it sells — and never released it. What that gap actually tells us.
#6183: Private Podcast Feeds: Tokens, Buckets, and Basic Auth
How do you keep a podcast feed for four people away from everyone else? Tokens, buckets, and the auth podcast apps barely support.