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The scaling law and the “bitter lesson” of AI
AI experts all HATE this one law!!!
Sep 23
•
Nicole Errera
22
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
47
Why do models hallucinate?
AI models inherently make stuff up. What can we do about it?
Sep 9
•
Nicole Errera
38
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
22
August 2025
Databricks is apparently worth $100B. What do they even do?
Or perhaps more accurately: what does Databricks NOT do?
Aug 25
•
Justin
38
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
Technically Monthly (July 2025)
How AI models “think” and “reason”, why code takes so long to ship, how developers choose cloud infrastructure, and more.
Jul 2
•
Justin
and
David
16
June 2025
Developers hate this one thing (all about code reviews)
Why code reviews take so long, how Al tools like CodeRabbit are speeding them up, and what great teams do to ensure clean code.
Jun 17
•
Justin
25
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