The six figures below condense the argument of the Grounded AI field report into images. Each corresponds to a specific section of the paper. The paper is the reference; these are the proof that the argument can be seen at a glance.
Figure 1 of 6
The two modes of AI use
Ungrounded operation has no visible inputs. Grounded operation does. That is the entire point.
Corresponds to §1 (the misconception) and §2 (what a language model actually is). The left panel is the failure mode most readers have seen. The right panel is the workflow this paper documents.
Figure 2 of 6
How substring verification works
Every published quotation must substring-match its source row. The build fails otherwise.
Corresponds to §4. The check is small, mechanical, and fast — not an interpretive judgement. Its effect is to make hallucinated quotations impossible to ship. Real fragment from The Bitcoin Report, Vol. 53, June 26, 2013.
Figure 3 of 6
The corpus layer
Inputs to the archive, outputs from it. The model sits between, operating on records rather than on training memory.
Corresponds to §3. The archive is a single SQLite database of roughly 570,000 records augmented by transcripts of ~5,000 episodes. It is local, private, indexed, and addressable by source label.
Figure 4 of 6
When the data contradicted the brief
The author assumed Today in Bitcoin ran daily 2017–2020. The archive said otherwise. The published version reflects the data.
Corresponds to §5.1. The brief was wrong; the corpus was the corrective. This is methodology in action: when the data contradicts the assumption, the data wins.
Figure 5 of 6
When the record is ambiguous, the publication is ambiguous
The Jason King case study: documented charitable activity on one side, documented community concern on the other, no resolution in the record, no resolution in the publication.
Corresponds to §5.4. A reliable summary of a contradictory record sounds contradictory. The report does not adjudicate because the record does not.
Figure 6 of 6
Three rules for the non-technical reader
Three questions any reader can ask of any AI-assisted output, without writing code.
Corresponds to §7. These are forms of ordinary editorial skepticism. They happen to be sufficient. The takeaway poster of the paper.