computing
AI
Much ink has been spilled on the future of software and LLMs [1, 2, 3, 4, etc.], Software Engineers (SWEs) are either the second to join the permanent underclass (right after mathematicians) or the struggling protagonist against a never ending mountain of slop, depending on who you ask. Previously, the
LLM
Whenever discussions of LLMs and society come up, it seems inevitable that the phrase "it is just a tool" is used. The argument usually goes, "LLMs are just a tool, like the word processor, or the python programming language, the ways in which we have interacted with
LLM
Big Labs have a big problem, and that problem is GLM 5.5. When I refer to GLM 5.5, I don't mean that exact model (wxhich doesn't exist yet, GLM 5.2 is the latest in that series and came out two months ago). GLM
AI
Every quarter there seems to be a new fad of AI slop. Previously AI slop posters were popular, now AI slop photos for restaurants is taking off. Although many AI fads are limited to the Bay Area Slop Containment Zone, this one seems to be exposed to the broader community.
AI
An increasingly noticeable trend, especially in the Silicon Valley world, is how lazy AI is making people. There are two broad categories I think exemplify this phenomenon. First is the proliferation of what might be called "company slop". This is not the same as the usual AI slop
math
Originally published: November 29, 2025 Yes. I was recently experimenting with the linear separability of quantized embedding vectors, and produced a graph which indicated the embeddings were substantially more linearly separable than the quantized embeddings. A commenter indicated that this didn't make sense, as they thought the quantized
JAX
There is a growing number of startups exploring alternative compute paradigms; i.e. companies not making GPUs/CPUs/TPUs (such as Mythic, Vaire, Ludwig Computing, Extropic, Normal Computing, Unconventional, and many more). Each company is approaching the problem of computing in slightly different ways, and in this blog we will
JAX
Originally Publish: February 11, 2026 Note: this was published before hijax became somewhat established in JAX, I will investigate the new changes and put out a new blog on them. Stateful operations in JAX, such as batchnorm, can sometimes be annoying to work with. As a DSL that relies on
JAX
Originally published: December 13, 2025 In this blog, we'll be looking at one of the "sharp bits" of JAX: pseudorandomness, and see if we can't smooth it out a little. JAX is an accelerated linear algebra library that forms the backbone of some modern