Denny Schaedig — home

Writing & Talks

Technical writing, talks, and media on machine learning, robotics, and snow science.

Generative adversarial network symbolic illustration

Practical lessons from training

generative adversarial networks

Practical Lessons for Training GANs Progressive growing of GANs

Progressive growing of GANs and

building the Abominable SnowGAN

Progressively Growing Models Maxim — a brain for robots. Reachy Mini running the Maxim agentic robotics cognitive architecture

Building artificial minds from

biological blueprints for robots

Maxim: A Brain for Robots

A robot learned to turn toward sound.

The debugging lesson was worth more than the result

What the Robot Taught Us

Pre-registering Maxim 1.0 and reporting

where the biology lost to the LLM prior

The Honest Benchmark

A mechanism that does not run looks

exactly like one that ran and found nothing

Reachability

Bugs, limits and earned claims, each row

naming the trigger that would re-test it

A System for Not Fooling Yourself

Past about a dozen sensors per channel

the substrate stops seeing which one moved

Where Maxim Hits Its Ceiling Denny Schaedig discusses how perceptrons are similar to neurons

How the perceptron was

inspired by biological neurons

How AI Got Started Snowpack sampling with avalanche gear

How Denny is applying AI

to avalanche risk prediction

How to Teach an AI About Avalanches Denver7 interview with Ryan Fish and Denny Schaedig

ABC Denver7’s Ryan Fish joins Denny

for the first snowpack sampling of 2025–2026

Sampling with Denver7’s Ryan Fish Data Collection on Loveland Pass

Learn how you can help your

community by collecting snowpack data

Volunteer: Snowpack Data Collection