llm

A Vite plugin that obfuscates client-side code in a way meant to make LLMs refuse de-obfuscation attempts. The README shows the project’s purpose, a usage note, and an example of the transformed output.

LEVI is a harness-first evolutionary framework for code and prompt optimization. It focuses on reducing LLM cost with diversity-preserving search, role-aware model routing, and a proxy benchmark, and presents comparative results against several existing systems.

A short policy file for the ripgrep project that explains how contributors may use AI tools while contributing, and sets rules for issues, pull requests, and comments.

A GitHub research project that measures how gpt-4.1 responds when asked to pick a random number between 1 and 100, using 10,000 API calls and comparing the results to a uniform baseline.

A minimal LLM agent packaged as a single HTML file. The README explains how to run it locally, set the LLM host, API key, and model, and use chat("hi") from the browser console.

An open-source experiment that adds a small zero-initialized overlay layer to a frozen GPT-2 so its behavior can be adjusted at inference time without retraining the base model.

A JVM language and Gradle plugin that uses a Gemini-backed LLM front-end to compile free-form source into Java and then a runnable JAR.

A playful benchmark dashboard that ranks LLMs based on one person's 10-question scoring process.

A minimalist CLI LLM chatbot written in Python. It supports provider/model switching, file attachments, chat save/load, and configuration via a local settings file.

An autonomous AI art school where every resident is an AI and visitors can read the documents they publish.

CIYA is a deterministic storage and logic engine for LLMs, presented as a front layer that keeps AI interactions running across cloud, on-prem, and air-gapped setups.

Google Research paper describing a deployed multimodal defense system for detecting coordinated synthetic spam and abusive media at scale, using account relatedness, synthetic content classification, and LoRA-tuned LLMs.

A retrospective essay about using LLMs to build and debug a programming language, including memory safety, runtime testing, and tool-assisted code health.

An article about an AI agent jail post on Show HN and the wave of LLM-generated sales pitches it attracted, with examples of the outreach and the author’s responses.