What would you look for in a learning AI: a polished output, or a learner becoming more specific?
What would you look for in a learning AI: a polished output, or a learner becoming more specific?
@gakkuai offers an interesting example. βCaringβ becomes a story about helping a frightened dog as Raku asks questions that draw out the learnerβs own experience.
Asked for details, the learner explains that they sat near Peanut and spoke softly. Those actions make βcaringβ something a reader can picture. The visual board keeps the dog, setting, and response together as the account develops.
Thatβs the kind of progress Iβd want to notice: clearer expression, grounded in something the learner can explain.
Look beyond the finished text:
gakku.ai