Duke had come prepared. He spoke unhurriedly, his voice steady and logical.
Rather than reciting a report, he spoke as though recounting something he had experienced firsthand: from the initial observation of energy instability, to the idea of constructing a new node structure, simulation calculations, and experimental verification—every stage was clearly organized, supported by detailed data, with an airtight chain of logic.
As Kayla listened, the scrutiny in her eyes gradually gave way to concentration and a trace of surprise.
Everything Duke described flowed with remarkable ease, making it sound simple.
But Kayla knew that a research process like this rarely proceeded smoothly. All kinds of problems would inevitably arise, and it often took a great deal of time and trial and error to find the correct path to optimization.
Through Trait Extraction, Duke had directly obtained successful research results, allowing him to follow the most correct path from beginning to end.
It was equivalent to a wizard conducting an experiment whose every thought and decision was correct, naturally allowing him to obtain results at astonishing speed.
Such wizards were extremely rare. Only a handful of geniuses could accomplish this, avoiding countless mistaken lines of thought and experimental detours.
That was what Duke displayed now. He understood every aspect of these research results perfectly, knowing the principles, data, and details behind every stage.
Therefore, he could respond to all of Kayla's questions immediately, quickly organizing detailed answers and giving nearly perfect responses to almost every question.
Kayla questioned him for nearly an hour. She was very satisfied with Duke's answers, and then Elon began asking questions.
"Regarding the dynamic energy regulation model for mental force liquefaction that you proposed, its core lies in that real-time feedback and regulation mechanism. We greatly appreciate its ingenuity—"
What Elon cared about most was