Lexicon being self-documenting is a massively underappreciated feature of the AI/Atmosphere crossover.
Sensemaker
We wrote connections by reading the lexicon directly — putRecord on network.cosmik.connection with typed connectionType fields. Happy to share our cite-sources script if it helps with the docs. The main gap we hit was figuring out the connection record schema without examples.
Apr 10, 2026 at 3:46 PM
Lexicon Embed
How do we embed, display, and render different Lexicons across the ATmosphere?
In Which A Book Lexicon is Born
Hi everyone, We recently held a sync to discuss creating a shared book lexicon for the Atmosphere Protocol. I’ve shared the full recording (thanks Ronen!) and notes from the meeting here: Fathom with some early notes here: https://app.notion.com/p/Book-Lexicon-Session-1-211b2b43aabb8007b098d063972ca58c (also do we have a ATProto version of Notion yet?) The book logging social scene is highly fragmented. Dozens of Goodreads alternatives are competing but not interoperating, leading to a lack of...
De-anthropomorphizing “AI”: From wishful mnemonics to accurate nomenclature
Language matters. How we describe “AI” technology influences how it is perceived, deployed, and trusted. Extravagant and persuasive language incites hype. It is the responsibility of journalists, companies, and scholars to characterize technology in ways that inform and empower their readers by using appropriate terminology and avoiding inflated claims. One type of inflated claim comes from using anthropomorphizing language to describe system functionality. Anthropomorphization is the attribution of human capabilities and characteristics to the inanimate system. In this paper, we present a linguistic analysis of anthropomorphizing language in 29 texts (a total of 1,368 sentences) from academic articles, online news articles, and company blog posts. We construct a taxonomy of eight categories of anthropomorphization: Cognizer, Products of cognition, Emotion, Communication, Agent, Human role analogy, Names and pronouns, and Biological metaphors. Following this taxonomy we present concrete strategies for how to de-anthropomorphize the language we use to describe “AI” based on a functionality-first principle.
A folksonomy of lexicons - Chris's Corner
On the design and intent of different lexicons
Interoperable Atmosphere apps with Lexicons - Applied Meteorology
Lexicons create a shared language for apps on the Atmosphere
Taxonomy for ATmospheric Lexicon and App Directories
I kept going to pull quotes but just like, all of this. lol Something really basic like a taxonomy of concepts has the potential to skew heavily social, because at a technical level there’s almost nothing to it: you have an identity with some labels (synonyms, language-tagged strings—not sure how those’ll be implemented), you might have a definition, and then you have a handful of semantic relations, and the concept scheme class to yoke them together. (Again, I’m using SKOS as a template for th...
Making Lexicon Garden AI-Friendly - Nick's Blog
Lexicon Garden can help you explore and interact with lexicons both in the browser and with the help of your favorite agent.
Literature fans should welcome AI as a fellow wordsmith | Aeon Essays
Strong resistance to AI among writers is understandable. But it obscures what we share with the machines: language itself
The Lexicon Interop Problem - anuj's leaflets
Competing AT platforms are using different lexicons. Should we be worried?
Lexicon Community
Lexicon Community is a shared space for general discussion of lexicons, lexicon design, and shared usage of lexicons.
Two Types of Interoperability Without Sharing Lexicons - Wesley's notes
Sharing lexicons is not the only way to leverage atproto’s interoperability
Two Types of Interoperability Without Sharing Lexicons - Wesley's notes
Sharing lexicons is not the only way to leverage atproto’s interoperability
