A quick glitch in the matrix...

In partnership with

It sounds completely backward, but it’s the absolute truth: I just gave away a funded AI business scholarship to trigger a $1,000 matrix payday.

The old paradigm tells you to hoard your resources and protect your lack. The abundance model proves that the more frictionless access points you create for others, the faster your own automated system cycles. 🔄

I am looking to award a few specific entry spots this week to people ready to run a fast sprint. If you want to see the math behind the loop, reply with the word "LOOP" and I’ll send over the short overview video.

Bradley Woods

Fine-Tuning Is Overrated. Learn When It Actually Matters.

Every engineer building with LLMs eventually hits the fine-tuning question. The answer is usually "not yet."

In this free online session, Gauntlet AI Lead Instructor Aaron Gallant breaks down fine-tuning, PEFT, and QLoRA – what they actually do, what they cost, and when they're worth reaching for over prompt engineering or better context.

You'll walk away understanding how to synthesize training data from frontier models, how parameter-efficient techniques let you train on a laptop, and why the real bottleneck is always the data, not the model.

If you've been curious about fine-tuning but aren't sure it's the right move for your use case, this is the session.

Live. Free. No upsell. Wednesday, June 3 at 5 PM CT. Register here.

Save Your Spot