In Daedalus, ThoughtSeeds and regular hypotheses operate at very different levels of the research process:
Scale and Dynamism: A regular hypothesis represents the overarching scientific proposition being tested by the mock study
. It is defined and frozen in the study packet before the run begins
and is formally evaluated in the final scientific report
. In contrast, ThoughtSeeds are “small candidate ideas or working hypotheses”
. Rather than remaining static throughout a study, they are highly dynamic elements that “can be activated, compared, developed, or suppressed as a system works through a problem”
.
Operational Purpose: While a regular hypothesis is the subject of the formal scientific investigation
, ThoughtSeeds are “engineering and research constructs”
. They are designed to help researchers study the internal mechanics of the AI itself—specifically to observe memory, attention, coordination, and how ideas develop inside the artificial system
.
Visibility in Reports: The primary scientific hypothesis is a public-facing component that must be clearly outlined in both the Daedalus primary study report
and the final public journal article
. ThoughtSeeds, however, represent the sub-symbolic, internal coordination of the system as it works, acting alongside functional global-workspace architectures to manage the system’s memory and attention
.
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