The Return of Language-Oriented Programming | Middle of Nowhere

Designing a Language by Asking the Language Models — using an LLM panel as a syntax usability lab (from the kaish project)

Designing a Language by Asking the Language Models — using an LLM panel as a syntax usability lab (from the kaish project) · GitHub

Large language model

A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots.[1] Biased or inaccurate training data can make an LLM's output less reliable.[2]

LLMs and World Models, Part 1

How do Large Language Models Make Sense of Their “Worlds”?

LLMs as Collaborators in Language Specification and Design (PLSS 2026) - SPLASH/ISSTA 2026

Workshop on Programming Language Standardization and Specification This workshop aims to foster cross-pollination between researchers and industry professionals with experience in programming language specification and standardization. It provides a forum where participants can share insights, case studies, and best practices, and collaboratively explore solutions to current challenges. The goal of the workshop is to improve the collective understanding of how programming languages are specified, standardized, and evolved in practice. The workshop examines specifications as the foundation ...

The two worlds of programming: why developers who make the same observations about LLMs come to opposite conclusions

Writing at the end of the world, from Hveragerði, Iceland

chad/whichlang

What programming language do LLMs default to when you don't tell them? A small benchmark.

Fast and Hard Code

People pick languages differently with LLMs.

Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via...

Despite their impressive capabilities, multilingual large language models (MLLMs) frequently exhibit inconsistent behaviour when the prompt's language changes. While such adaptation is generally...

AI Agents: Key Concepts and How They Overcome LLM Limitations

An AI agent is an autonomous software entity that is often used to augment a large language model. Here's what developers need to know.

The Case Against LLMs as Rerankers

Authors: Apoorva Joshi, Zhenmei Shi, Akshay Goindani, Hong LiuResearch Leads: Zhenmei Shi, Akshay Goindani, Hong Liu Large language models are increasingly being used for a broad range of tasks, in…

Compiling knowledge, not retrieving it: a hands-on deep dive into llm-wiki-compiler

The thesis of this piece is simple and uncomfortable: the problem of making an LLM “remember” what you’ve read isn’t solved with more…

The Myth of Deterministic Software

How I've come to terms with LLM non-determinism in software and abandoned the comforting lies we've been telling ourselves about traditional software.

Artificial

An LLM is a computer program. We should talk about it like a computer program.

Artificial

An LLM is a computer program. We should talk about it like a computer program.

Large language models reduce public knowledge sharing on online Q&A platforms

Abstract. Large language models (LLMs) are a potential substitute for human-generated data and knowledge resources. This substitution, however, can present