Living documents and interactive schematics — Selin Jessa

Yuchen Jin on Twitter / X

Karpathy’s “LLM Wiki” pattern: stop using LLMs as search engines over your docs. Use them as tireless knowledge engineers who compile, cross-reference, and maintain a living wiki. Humans curate and think.Diagram generated by my Claude agent knowledge worker. https://t.co/5u5i1GeFK8 pic.twitter.com/NIaq3KlAok— Yuchen Jin (@Yuchenj_UW) April 4, 2026

Patrick Collison on Twitter / X

I want some kind of LLM workflow tool.• Ability to manage a set of input files (Markdown or similar), plus other general-purpose context.• With real-time collaboration. (And maybe some concept of snapshots or VCS integration.)• And the ability to create/manage a inference…— Patrick Collison (@patrickc) June 6, 2026

Scientific Content Management System | Curvenote

Create, manage, and publish interactive research with connected workflows, modular content, and built-in provenance. Book a demo

Kalosm

Floneum is a graph editor for local LLM workflows.

Potluck: Dynamic documents as personal software

Gradually enriching text documents into interactive applications

PiPup

A blogging platform with support for rich text, math, and diagrams.

LLM Knowledge Bases

A visual breakdown of Andrej Karpathy's approach to building personal knowledge bases powered by LLMs. Learn the 4-phase pipeline: ingest, compile, query, and maintain - with an interactive architecture diagram.

Jared Goering on Twitter / X

Saw this and immediately built it. Open-sourced the whole thing:Ingest URLs, PDFs, tweets, images → LLM compiles a linked markdown wiki → Q&A with citations, knowledge graph, contradiction linting, auto-research, export to HTML/PDF/slides.Been using it nonstop as a personal… https://t.co/ypaXlEA7pn pic.twitter.com/8Z2DLAyQjH— Jared Goering (@jaredgoering) April 4, 2026

Wiki Builder: A Claude Code Plugin for Building LLM Knowledge Bases

Wiki Builder is an open-source Claude Code plugin that turns the LLM-knowledge-base workflow into a one-command setup. Scaffold a configurable wiki, point Claude at sources, and let the agent compile durable pages, indexes, and concept maps for you.

Substrates conference series - Substrates 2026

An increasing number of researchers see their work as interactive authoring tools or software substrates for interactive computational media. By talking about “authoring tools”, we remove the divide between programmers and users; “software substrates” let us look beyond conventional programming languages and systems; and “interactive computational media” promises a more malleable and adaptable notion of tools for thought we are striving for. This workshop aims to bring together a wide range of perspectives on these matters.

Exploring Art with TypeScript, Jupyter, Polars, and Observable Plot | Deno

With Deno's Jupyter support, you can explore, interact, and create interactive charts with TypeScript and HTML. Here's a tutorial featuring data of over 130,000 famous artworks.

sosumi.ai - Apple Docs for LLMs

sosumi.ai provides Apple Developer documentation in an AI-readable format by converting JavaScript-rendered pages into Markdown.

Steps Towards an Infrastructure for Scholarly Synthesis

Sharing, reusing, and synthesizing knowledge is central to the research process, both individually, and with others. These core functions are not supported by our formal scholarly publishing infrastructure: instead of the smooth functioning of functional infrastructure, researchers resort to laborious "hacks" and workarounds to "mine" publications for what they need, and struggle to efficiently share the resulting information with others. Information scientists have proposed an alternative infrastructure based on the more appropriately granular model of a discourse graph of claims, and evidence, along with key rhetorical relationships between them. However, despite significant technical progress on standards and platforms, the predominant infrastructure remains steadfastly document-based. Drawing from infrastructure studies, we locate the current infrastructural bottlenecks in the lack of local systems that integrate discourse-centric models to augment synthesis work, from which an infrastructure for synthesis can be grown. Through 3 years of research through design and field deployment in a distributed community of hypertext notebook users, we elaborate a design vision of what can and should be built in order to grow a discourse-centric synthesis infrastructure: a thriving "installed base" of researchers authoring local, shareable discourse graphs to improve synthesis work, enhance primary research and research training, and augment collaborative research. We discuss how this design vision -- and our empirical work -- contributes steps towards a new infrastructure for synthesis, and increases HCI's capacity to advance collective intelligence and solve infrastructure-level problems.