Estimating your memory bandwidth(lemire.me)

52 points by ingve 2 years ago | 11 comments

Understanding Mesh Allocator(veera.app)

60 points by signa11 2 years ago | 10 comments

Memory access is O(N^[1/3])(vitalik.eth.limo)

158 points by jxmorris12 1 year ago | 117 comments

Going faster than memcpy(squadrick.dev)

125 points by snihalani 1 year ago | 63 comments

Why Your CPU Is Fast but Your Program Is Slow: Understanding the Memory Wall(prawns.dev)

21 points by prawns_1205 4 months ago | 5 comments

io_uring is faster than mmap(bitflux.ai)

266 points by ghuntley 1 year ago | 120 comments

First Steps into Memory Management in Python(tech.daniellbastos.com.br)

4 points by shellpipe 20 days ago | 0 comments

A personal blog post exploring how CPython allocates and manages memory, written as study notes before diving into garbage collection.

AI has access to a vastly larger working memory than the human brain(davidepiffer.com)

524 points by rzk 2 months ago | 452 comments

A Substack essay by Davide Piffer arguing that AI's edge over mathematicians comes from a vast symbolic working memory rather than superior reasoning.

Hello World(thecoder08.github.io)

386 points by fbrusch 2 years ago | 65 comments

A blog post taking a deep dive into the layers of abstraction behind a modern Hello World program written in C.

Programming with Less Than Nothing(joshmoody.org)

407 points by signa11 1 year ago | 138 comments

A blog post by Josh Moody presenting a fictional interview where FizzBuzz is implemented in JavaScript using only S and K combinators.

PHP2Shell: AI uncovers critical RCE in PHP(wiz.io)

398 points by danlark1 5 days ago | 184 comments

Wiz Research blog post detailing PHP2Shell, critical memory-safety and pre-auth RCE vulnerabilities in the core PHP engine found with help of frontier AI models.

I built a programming language that LLMs can't use(blog.picheta.me)

244 points by dom96 8 days ago | 179 comments

Blog post by Dominik Picheta introducing KillSwitch, a programming language he designed so that large language models cannot use it.