The AI Had an Authoritative Source. It Was Still Wrong.
These articles come from lessons learned while building Eterna Clarity and the operating system I use to run it. One of the most reassuring things an AI can do is show you where its answer came from. Search the web. Retrieve the document. Cite the source. Point to the record that supposedly supports the decision. That is a real improvement over asking a model to answer from memory and hoping it…
The AI system, Eterna Clarity, had a beneficial feature: the ability to display the source of its answers. Retrieving and citing sources is a significant improvement over relying on the model's memory. However, an unexpected issue arose when the source was authoritative yet the decision remained incorrect. The problem stemmed from the source being relevant but not specific to the AI's selection.
This highlighted a critical distinction between trustworthy sources and relevant proof. Humans can make the same mistake, trusting a credible source without verifying its relevance to the specific claim being made. The key distinction is whether the evidence truly supports the claim or action proposed. Eterna's deterministic gate ensured that a selection required authoritative evidence, but it overlooked the question of whether the evidence was authoritative for the specific candidate being selected.
This oversight exposed the need for a more precise relationship between evidence and candidates. The solution involved modifying the evidence records to link explicitly to the candidates they support. This change ensured that when a strict gate was enabled, the selection had to be supported by a cited authoritative evidence item that was deterministically linked to the exact candidate.
By separating the determination of truth and consequences from the interpretation and proposal of semantic models, Eterna created a hybrid Engine. The model excels at interpreting language, understanding ambiguous evidence, and synthesizing information, while the software ensures exact state and enforces contract rules. This separation allows the AI to propose actions without making them true and ensures that the AI remains focused on its strengths.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
