







See this post on Semble to find connections and similar articles.
Modular: The Claude C Compiler: What It Reveals About the Future of Software
Compilers occupy a special place in computer science. They're a canonical course in computer science education. Building one is a rite of passage. It forces you to confront how software actually works, by examining languages, abstractions, hardware, and the boundary between human intent and machine execution.

Our interfaces have lost their senses
We programmed them by punching cards, plugging in wires, and flipping switches. Programmers walked among banks of switches and cables, physically choreographing their logic. Being on a computer used to be a full-body experience.
The Missing Discipline in Computer Science
On Teaching Computer Scientists to Ask “Why”

Computational statistics
Computational statistics, or statistical computing, is the study which is the intersection of statistics and computer science, and refers to the statistical methods that are enabled by using computational methods. It is the area of computational science specific to the mathematical science of statistics. This area is fast developing. The view that the broader concept of computing must be taught as part of general statistical education is gaining momentum.
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
Drinking from the Firehose: Learning Computer Graphics Techniques and Programming
Graphics researchers waiting in the water fountain line at SIGGRAPH Yellowstone. Computer graphics as a field is broad, deep, complex, and intimidating. More than half a century of rapid progress driven by academic research and industry practices underly it. Parts delve pretty far into physics, math, signal processing, systems programming (and more). And performance is always at a premium—so simple, straightforward techniques are often not possible, and high-level programming abstractions not usable.

LotusNotes
I tend to focus on the origin of the computer within the military. Particularly in the early days of digital computing, the military was a key customer, and fundamental concepts of modern computing arose in universities and laboratories serving military contracts. Of course, the war would not last forever, and computing had applications in so many other fields—fields that, nonetheless, started out as beneficiaries of military largesse.
Neuroscience needs a career path for software engineers
Few institutions have mechanisms for the type of long-term positions that would best benefit the science.

Telepath: building a new kind of computer
So, we made a thing: Let’s back up: for as long as I can remember, I’ve been obsessed with computers, fascinated not just by what they can do but what they could become. Like many, I took my early inspiration from science fiction. I dreamed of someday having something like the Enterprise’s computer. And why not? Science fiction has always driven scientists, engineers, and inventors to create real things that change the world.

</> htmx ~ Yes, and...
In this essay, Carson Gross discusses his advice to young people interested in computer science worried about the future given the advancements in AI.
IBM's "Man & Computer" (1967)

Legislation as Code | Version: 2

Governing Digital Legal Systems: Insights on Artificial Intelligence and Rules as Code · MIT Computational Law Report
Hamish Fraser
Leibniz book
Konrad Hinsen's blog
Konrad Hinsen's blog
Konrad Hinsen's blog
Konrad Hinsen's blog
Konrad Hinsen's blog

Introducing System One Models and Jev - TypeSafe AI Blog
Message from our CEO: After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last…

On-device intelligence for every product
SaaS Isn’t Dead. Sameness Is. - The Phoenix Architecture

Codifying a ChatGPT workflow into a malleable GUI

MercuryOS