Nutshell: make expandable, embeddable explanations

Explorable Explanations

a hub for learning through play

Konrad Hinsen's blog

A much cited essay by Bret Victor, "Explorable Explanations", argues for supporting and encouraging active reading in communicating ideas. Explanatory text should thus be complemented by interactive visualizations and computational demonstrations, allowing the reader to actively engage with the ideas. If you haven't read Victor's essay yet, please do so now, and then come back here. It's not very long. What I am going to discuss is a variation on Victor's proposal, and I won't repeat his well-presented arguments.

Explorable Explanations

An active reader asks questions, considers alternatives, questions assumptions, and even questions the trustworthiness of the author. An active reader tries to generalize specific examples, and devise specific examples for generalities. An active reader doesn't passively sponge up information, but uses the author's argument as a springboard for critical thought and deep understanding.

Wikum: Bridging Discussion Forums and Wikis Using Recursive Summarization

Large-scale discussions between many participants abound on the internet today, on topics ranging from political arguments to group coordination. But as these discussions grow to tens of thousands of posts, they become ever more difficult for a reader to digest. In this article, we describe a workflow called recursive summarization, implemented in our Wikum prototype, that enables a large population of readers or editors to work in small doses to refine out the main points of the discussion. More than just a single summary, our workflow produces a summary tree that enables a reader to explore distinct subtopics at multiple levels of detail based on their interests. We describe lab evaluations showing that (i) Wikum can be used more effectively than a control to quickly construct a summary tree and (ii) the summary tree is more effective than the original discussion in helping readers identify and explore the main topics.

Summarize with built-in AI  |  AI on Chrome  |  Chrome for Developers

Distill lengthy articles, complex documents, or even lively chat conversations into concise and insightful summaries.

Systems that defy detailed understanding

Last week, I wrote about the mindset that computer systems can be understood, and behaviors can be explained, if we’re willing to dig deep enough into the stack of abstractions our software is built atop. Some of the ensuing discussion on Twitter and elsewhere lead me to write this followup, in which I want to run through a few classes of systems where I’ve found pursuing in-detail understanding of the system wasn’t the right answer.

Creative Reading: Scaffolding Reading for Transformation

However, recent work on augmenting reading largely focuses on making reading more efficient, especially in knowledge-intensive contexts where people must rapidly make sense of research papers and other complex documents (Lo et al., 2024). These systems often aim to help readers skim, summarize, and synthesize large volumes of information in order to reduce cognitive effort and accelerate document- and corpus-level sensemaking at scale (Gu et al., 2025; Lo et al., 2024; Fok et al., 2023). At one extreme, the form of reading implicitly envisioned by these systems may resemble what we call “reading to discard”: extracting the essential, actionable informational core of a document as quickly and efficiently as possible, so that the rest can be swiftly tossed aside—much like we often process inbound mail. This motivates us to ask what scaffolding approaches might resist “reading to discard,” what alternative forms of reading we might scaffold, and what alternative views and values of reading might guide the conversation.

Chasing RATs: Tracing Reading for and as Creative Activity

Creativity research has privileged making over the interpretive labor that precedes and shapes it. We introduce Reading Activity Traces (RATs), a proposal that treats reading -- broadly defined to include navigating, interpreting, and curating media across interconnected sources -- as creative activity both for future artifacts and as a form of creation in its own right. By tracing trajectories of traversal, association, and reflection as inspectable artifacts, RATs render visible the creative work that algorithmic feeds and AI summarization increasingly compress and automate away. We illustrate this through WikiRAT, a speculative instantiation on Wikipedia, and open new ground for reflective practice, reader modeling, collective sensemaking, and understanding what is lost when human interpretation is automated -- towards designing intelligent tools that preserve it.

Readwise: Get the most out of what you read

Easily revisit and learn from your highlights and annotations.

Yet another snippet extension

Contains an introduction, installation instructions and other important notes.

I don't want the details

Why reasonable explanations are one of the easiest ways to avoid changing anything.

Potluck: Dynamic documents as personal software

Gradually enriching text documents into interactive applications

Progressive Summarization: A Practical Technique for Designing Discoverable Notes - Forte Labs

Modern digital tools make it easy to “capture” information from a wide variety of sources. We know how to snap a picture, type out some notes, record a video, or scan a document. Getting this content from the outside world into the digital world is trivial. It’s even easier to get content that is already digital from one app to another. We know how to copy and paste text, save an image from a webpage, archive an email attachment, or import a video file.

chenxiachan/textfold

Fold papers, web pages, files, and AI replies into five levels of detail. Zoom from an overview to the original text.