Wikipedia

Three standards bodies tried to fix DC connectors. The box of mystery bricks in your closet is the result.

A few hundred crafted documents can shift a model's stance. Here's how data poisoning actually works.

When hiding in plain sight makes you more conspicuous, it's time to refine the approach.

The legal gray area of crowdsourcing orphaned product manuals and what it means for preservation.

Tacit knowledge is walking out the door. Here's how to capture it before it's gone.

One reader explains why he now trusts AI more than Wikipedia on contested topics like Israel and Zionism.

Why swapping Google for Exa transformed our show's accuracy — and what agentic search does differently.

A deep dive into the Y-shaped tunnel, the bump-and-hollow geometry, and the silent history of the zip.

Why can't we just delete stolen data from AI models? It's not a database—it's a baked cake.

We go behind the curtain of the AI data pipeline, revealing the messy, multi-billion-dollar war over data curation.

Is your brain too logical for movies? Explore why "non-fiction bias" makes it harder to enjoy stories and why fiction still matters.

Is Wikipedia still a neutral gold standard, or has it become a battlefield for ideologues? We dive into the systemic collapse of digital truth.

Building an AI model from scratch? It's a brutal reality of trillions of tokens and millions in GPUs. Discover the hidden costs of modern AI.

Ever wonder if your AI is secretly American? We're unpacking the invisible, US-centric worldview embedded in leading Western AI models.