The story behind how LinkedIn created Apache Kafka

Apple committed to making iPhone chips at Texas Instruments' new U.S. factories. CNBC got an exclusive first look inside TI's $60 billion megaproject.

I use my line scan camera to take cool pictures of trains and other stuff.

American allies around the world, once eager to replace their own aging fighter fleets, are suddenly hesitating on purchases or even canceling orders altogether

My preferred deployment stack for Python-built static sites.

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions.

A way of generating points on a sphere that is intuitively clear and efficient. Comparison to the more common algorithm.

The felt cap—one of only three surviving examples of its kind—was recently conserved by a museum in England

Over two years ago I installed Acronis True Image for Crucial in order to migrate my data to a new SSD I had just purchased. It worked. I then left True Image installed “just in case”, and what har…

For a handful of months, RHDI provided an archive.org mirror of the site's file archives. The site's servers synced with the backup daily to ensure it was up to date. This was done to allow for data h...

You’ve likely read lots of blog posts stating that it takes 23 minutes and 15 seconds to get back to work after an interruption, context switch, or meeting. Thus, “do you have five minutes” ends up not only costing those few minutes, but instead about half…

Tesla insiders have been unloading their shares at an impressive rate. Excluding CEO Elon Musk, Tesla executives and board members...

Exploratory interfaces for navigating photos

The ultimate Amiga games & demo scene setup for MiSTer & Pocket FPGAs, emulators, and real hardware. Open source, community driven. Formerly known as MegaAGS.

Our nihilistic politics are a product of the crushing ennui and spiritual vacancy of modern life.

LLM models are plateauing, but true AGI isn't about scaling the next breakthrough model—it's about engineering the right context, memory, and workflow systems. AGI is fundamentally a systems engineering problem, not a model training problem.

This article is part of the series JEG2's Questions.
In a previous article of this series I talked about how we must remain ever vigilant against what is making it into our code. I talked about the need to always analyze the cost of everything we are agreeing…

It's not that hard to build a coding agent. 300 lines of code running in a loop with LLM tokens. You just keep throwing tokens at the loop, and then you've got yourself an agent.