Tag: LLM
Presidential Administrations, Scored by AI
Three frontier models, same question, same scale. The models approached the scoring differently, but agreed on the ordering: Trump-I is worse than Biden and Obama. Trump-II is worse than Trump-I.
Att Sverige har billig el är lockande för AI-företagen
Allt fler datacenter växer upp i Sverige. Bara en del av dem är dock till för AI, De flesta är för helt vanliga data, servrar för onlinetjänster och molntjänster av diverse slag. Det är i huvudsak US-amerikanska storföretag som Facebook, Amazon, Google och Microsoft som bygger dem.
The irrational effectiveness of the Pi harness
A month of coding with Pi, its small agent loop, and the skills and extensions I've added to it.
Privat programmiere ich ausnahmslos ohne ...
Why your prompt cache hit rate is zero: the silent invalidators
Prompt caching is a prefix match: one changing byte near the top of your prompt drops your hit rate to zero. A timestamp is the obvious culprit - here are the rest.
Am I a Rust developer?
deep knowledge, and why everyone using agents is now a site reliability engineer
DINO (Distillation with No Labels)
Breakdown of DINOv3 model that scales self-supervised learning (SSL) for images to produce our strongest universal vision backbones, enabling breakthrough performance across diverse domains.
they know React
No one ever got fired for picking React, but they're probably wasting a shit load of tokens.
ChatGPT Is a Japanese Internet Degen, or: How Fried Chicken Sent Me Down a Tokenizer Rabbit Hole
A stray piece of 2ch boilerplate in a ChatGPT answer sent me down a rabbit hole through Japanese internet history, tokenizers, training data, and one very weird token.
the expensive energy principle
could a computer scientist pay for an embodied brain
Building a Data Explorer for Historical Brewery Directories
Using an LLM OCR and NER pipeline to make 19th century directories morn accessible
Reducing Ambiguity in a SQL Agent using a domain glossary and RAG
A domain glossary can give an LLM agent context it needs to finish a task, but when that is not enough to understand importance, RAG can reduce ambiguity
No cost, no value
Why generating code makes it meaningless, why writing code by hand has value, and why toil is a critical part of the human experience.
Wikipedia and friends: learning through code
I built friendsof.wiki to surface the open knowledge graph alongside Wikipedia articles, and learned a few things along the way.
Right to repair for AI-generated codebases
we have to think through bad ideas, because they may be our future
How LLM Works
This article tears open that machinery and explains what a language model is doing at a mechanical level - why it produces the outputs it does, why identical inputs produce different outputs on different runs, and what “temperature” actually means beyond “a creativity dial.”
Limited output is a feature
Great startups don't win because they write more code, they win because they think differently.
Breaking out of the LLM cycle
How I stopped using LLM tools for everything and started writing code again.
A computer can never be held accountable
For better or for worse the things you create with LLMs are your responsibility, just like with any other tool.
Hva enn du gjør, ikke spør meg!
(Jo, spør meg)
Open models are decelerationist
people and planet need open models to win
Chronicler
A PaperMC plugin that tracks server events and generates a dynamic in-game newspaper delivered as a written book.
Woche 29 · 2026
How to stop Claude from saying load-bearing
Hack the text output of Claude Code to make life a little bit sillier.
There's no accounting for AI
or budgeting, or hiring, or anything else you took for granted
A LangGraph SQL agent with per-call observability
Building a text-to-SQL agent on top of the canonical LangGraph tutorials, then routing every model call through my own OTel-emitting proxy so I can see what it actually does
e560 — Sweating the Small Stuff
Photo by nik biziuk on Unsplash Published 6 July 2026 e560 with Andy, Michael and Michael - stickshift & phone handsets with Ian Bogost, camping at EMF Camp 2026 & Mountain Quest 2026, brain cooling, dwarf lemurs, World Cup 2026, USMNT, ThreeLions, the tokenpocalypse and a whole lot more! Andy, Michael and Michael get things...
We Are Starting to Sound Like the Thing We Built
“Stay on the road. Keep clear of the moors.“
HODLing gear in 2026
A Month Without Frontier Models
On AI Religion
- Moon Walker
300baud modem or first broadband?
At what stage of AI model evolution are we at?
Ineffizient
Mit Effizienz misst man die Ressourcennutzung – also das Verhältnis von Ergebnis zu eingesetzten Mitteln (Zeit, Geld, Material, Personal). Der Ressourcenverbrauch von LLMs ist enorm und mir erscheint es schon länger so, als ob man so etwas wie ein Auto erfunden hätte, aber dummerweise mit einem Benzinverbrauch von 10 Litern pro Kilometer. Solange ich das...
LLMs Just "Fake it `til they make it"
This is what happened when I tried to make a Language Model mimic my knowledge and behaviour for a chat-bot on my portfolio site.
What Is a Harness?
LLMs are engines. Harnesses are everything else—the wheels, brakes, dashboard, GPS—that turn a raw engine into a useful vehicle. First in a series on harnesses for the open knowledge commons.
I built a snark detector and pointed it at myself
Toward Automated Discourse Network Analysis
Discourse Network Analysis has long been limited by the price of expert judgment. Here is a design for automating it at corpus scale without surrendering command of meaning — and FineStructure, the open-source workbench I am building for it.
New Skills
Coding Skills in the Age of LLMs
Language integrated LLMs as an OCaml function
Using a local DeepSeek model as an ordinary OCaml library and building sandboxed agents from simple primitives
OpenSearch Semantic Search
My learnings on OpenSearch semantic searching
OpenSearch Semantic Search
My learnings on OpenSearch semantic searching
OpenSearch Semantic Search
My learnings on OpenSearch semantic searching
OpenSearch Semantic Search
My learnings on OpenSearch semantic searching
Treating LLMs as programming books
Thoughts on an approach for using LLMs effectively for coding without losing engagement and cognitive effort.
Treating LLMs as programming books
Thoughts on an approach for using LLMs effectively for coding without losing engagement and cognitive effort.
Det här med AI eller LLM
Det här med AI eller stora språkmodeller (LLM) som det egentligen handlar om är en fråga med en mängd aspekter och synsätt. På det sociala medium, Mastodon, som jag främst använder är de flesta väldigt negativa till Artificiell intelligens (AI).
yallmap — Yet Another LLM Proxy
Building an Anthropic-native LLM gateway in TypeScript