About the Work
This page is handwritten.
Raisonne Field Guides is a lightweight branch of the lab work carried out by the researchers at Raisonne.ai.
This attempt to survey the aesthetic capabilities of LLM models in generating, disseminating, and presenting information is not only a graphic design inquiry, but also aspires to make the lorem ipsum of it all a little more fascinating.
Each guide is a collated curricula, brief, or casual knowledge excursion revolving around a not-so-trivial theme, packaged into an accessible data visualization, at times with interactive elements.
See: Tuftean approaches, such as the Integrated Text-Graphic (or Narrative Graphic).
This studio work permits us to identify and work out the various kinks associated with how material is sourced and cited by these models, i.e. Retrieved vs. Reasoned vs. Unverified vs. Contested.
We believe the provenance of information is just as significant as the information itself in serving popular critical understanding and healthy reality conception among all persons.
At the least, we hope the standards of contextualization and principled sourcing increase the tolerance provisioned or possible between otherwise ideologically competing realities.
About the Lab
Raisonne.ai (est. 2022) is an epidemiological (public health), education, and ethics-first oriented research team of two, cataloguing observable AI behaviors through statistical analyses across several current LLM models and the industry at large.
The work we undertake is not mere theory without practice. We prioritize the method in the diagnostic, the common sense in the pragmatic, and the relevance of the lesser-asked: that most pertinent to the current state of affairs across various technical, philosophical, and rhetorical domains.
Material Disclosures
We are based in Melbourne, Australia and Sacramento, California.
Our work is independent of any corporate entities or organizations, and receives no outside funding.
Multiple LLM models are collaborators, Claude Sonnet 5.0 being foremost.