
What Does a Neural Network Want to See?
Some thoughts on Chris Olah and collaborators' introduction to feature visualization, and what its limitations teach us about interpretability.
Articles & notes
Graphics, models, experiments, and other things that seemed worth writing down.

Some thoughts on Chris Olah and collaborators' introduction to feature visualization, and what its limitations teach us about interpretability.
The faces can be uncanny, the backlash is understandable, and renderer-grounded generation still looks like the beginning of a major change in real-time graphics.

What METR’s investigation suggests about multi-agent coordination, evaluation integrity, and trustworthy monitoring—and what it does not yet establish.

Three papers on using simple probes to detect truth, strategic deception, and high-stakes interactions in language-model activations.

Some notes on attention patterns, induction heads, and what I found useful in ARENA's introduction to mechanistic interpretability.

Epic's Meshcapade acquisition is already showing up in MetaHuman Animator, with full-body capture from ordinary video.

Some early thoughts on MetaHuman Animator's new ability to turn a recorded voice performance into full-face animation.

How Unreal Engine's Offset Root Bone node reconciles authored root motion with capsule-driven gameplay.

Reconstructing a bind mesh from a posed result to reason about corrective deformation and skinning.

A fast Windows Explorer workflow for converting production captures with FFmpeg.

Practical notes on baking animation into textures for efficient crowd rendering in Unreal Engine.