What is Machine Learning?

How computers learn patterns from data: the foundation for everything from stock price prediction to ChatGPT.

Oct 7 • 

Justin

28

Technically Monthly (October 2025)

Why AI models hallucinate, why building MCP servers is hard, and the scaling law driving trillion-dollar AI bets.

Oct 1 • 

Justin

 and 

David

21

September 2025

The scaling law and the “bitter lesson” of AI

AI experts all HATE this one law!!!

Sep 23 • 

Nicole Errera

26

1

A deep dive into MCP and its associated servers

A brief history of the protocol, why it can be hard to use, and how FastMCP came to be.

Sep 16 • 

Justin

49

Why do models hallucinate?

AI models inherently make stuff up. What can we do about it?

Sep 9 • 

Nicole Errera

39

Technically Monthly (September 2025)

A beginner’s guide to AI model architectures, why open source licenses aren’t as simple as “free to use,” the evolving role of product documentation…

Sep 2 • 

Justin

 and 

David

23

August 2025

Databricks is apparently worth $100B. What do they even do?

Or perhaps more accurately: what does Databricks NOT do?

Aug 25 • 

Justin

39

What's documentation?

Why sometimes, you need to tell people how to do things

Aug 19 • 

Justin

36

1

The beginner’s guide to AI model architectures

Unlike an onion, hopefully these neural network layers won't make you cry.

Aug 5 • 

Nicole Errera

39

3

July 2025

Technically Monthly (August 2025)

Why GPUs are a great fit for AI, how generative models actually work, and how JavaScript became the most popular programming language in the world.

Jul 31 • 

Justin

 and 

David

13

What's JavaScript?

From humble origins to the most popular programming language in the world.

Jul 15 • 

Justin

44

1

The post about GPUs

Why these chips pair perfectly with AI, and how NVIDIA became the most valuable company in the world.

Jul 8 • 

Justin

80