Allegra A. Beal Cohen's blog about knowledge curation, new interfaces, and large-scale qualitative data.
What matters in the age of AI is taste
the case for why a curated personal knowledge base has never mattered more
The rise of community-curated knowledge networks
The Internet put thousands of years of human thought at our fingertips, and enabled billions of people to create content. At least 2.5…
Ontology-Driven Observability: Building an End-to-End Knowledge Graph at Netflix Scale
Prasanna Vijayanathan, Renzo Sanchez-Silva
Knowledge doesn't just accumulate. It develops between people. - Marginalia
Announcing Assemblage, the visual builder for Semble.so collections
Why LLM Wiki? 🧠 Future Of Knowledge For Agentic AI & Humans
Konrad Hinsen's blog
Knowledge refinement is the ever ongoing process in science (and beyond it) that shepherds knowledge from lab notebooks into journal articles and then on to review articles, monographs, reference handbooks, university textbooks, and finally professional domain expertise and school education for a wider public. It has been going on for a few centuries, but we hardly talk about it. In fact, I made up the term because I couldn't find an established one. Computational knowledge has not yet found its place in the knowledge refinement process. Why not? And what can we do to make it happen?
From Social Network to Sense Making
How the Open Knowledge Format can improve data sharing | Google Cloud Blog
Learn how the Open Knowledge Format helps secure data sharing and improves collaboration across teams with standardized documentation.
How the Open Knowledge Format can improve data sharing | Google Cloud Blog
Learn how the Open Knowledge Format helps secure data sharing and improves collaboration across teams with standardized documentation.
Notion’s Knowledge Board
Evaluating how models perform across a range of knowledge work tasks, using live anonymized traffic and judged by models from Anthropic, OpenAI, and Google. An ongoing experiment.
A Novel Kuhnian Ontology for Epistemic Classification of STM...
Despite rapid gains in scale, research evaluation still relies on opaque, lagging proxies. To serve the scientific community, we pursue transparency: reproducible, auditable epistemic...
Orrery, a Knowledge Graph That Adapts to Its Corpus
Orrery is our open-source knowledge graph that gets deeper as you feed it: domains that hit critical mass earn their own custom extraction specs, agents get an API, and humans get a galaxy. The whole …
Avoiding Digital Productivity Traps - Cal Newport
Last week in this newsletter, I summarized some interesting results from a study that analyzed the behavior of 164,000 knowledge workers. It found that introducing ... Read more
Constructing a New Knowledge Infrastructure
A knowledge commons could support evidence-based policymaking, but it will require coordination with the communities monitoring pollution.
Open Knowledge Repository