A storage that can be used to keep memory across sections.

This claims an innovative “holographic memory” that is apparently more compact and requires less infrastructure than RAG.

An in-depth article about working with LLMs from a senior engineering perspective.

An incredible article on the “anatomy” of large language models. Probably in large enough models some layers form a kind of circuitry for a specific purpose, e.g. solving math problems.

Convert PDF to markdown JSON quickly with high accuracy - datalab-to/marker

A tool that gives more context to agent, based on a curated set of API documentation.

via: https://news.ycombinator.com/item?id=47317132

Human DX optimizes for discoverability. Agent DX optimizes for predictability. What I learned building a CLI for agents first.

An LLM benchmark testing the model’s push back (or lack thereof) against BS.

MCP server that reduces Claude Code context consumption by 98%. 315 KB becomes 5.4 KB.

The following is not allowed in postmarketOS:

Submitting contributions fully or in part created by generative AI tools to postmarketOS.

Recommending generative AI tools to other community members for solving problems in the postmarketOS space.

Love to see the second point especially.

Interactive AI timeline tracking 194 Large Language Models from 2017 to 2026. Explore the history of ChatGPT, GPT-4, Claude, Gemini, LLaMA, Mistral, DeepSeek and every major LLM ever released.