LDP and JIP lawmakers discuss Lower House seats reduction in Tokyo on Nov. 21. Prime Minister Sanae Takaichi and Japan Innovation Party (Nippon Ishin no Kai) leader Hirofumi Yoshimura agreed Monday to submit a bill during the current parliamentary session that will reduce the number of Lower House seats by 10%, fulfilling a key goal of their coalition agreement. Introducing and passing a bill to reduce the number of parliamentary seats in the lower chamber was a core demand for the JIP in exchange for agreeing to a coalition government with Takaichi and the Liberal Democratic Party. "Takaichi and I agreed to submit a seat-reduction bill during the current parliamentary session," Yoshimura said on his X account. "To ensure the bill's effectiveness -- and taking into account the opposition parties' views -- we agreed on a plan that will reduce seats by 10% in single-seat constituencies and proportional representation seats, rather than reducing seats only in the proportional representation system."

Yoshimura origami is a classical folding pattern that has inspired many deployable structure designs. Its applications span from space exploration, kinetic architectures, and soft robots to even everyday household items. However, despite its wide usage, Yoshimura has been fixated on a set of design constraints to ensure its flat-foldability. Through extensive kinematic analysis and prototype tests, this study presents a new Yoshimura that intentionally defies these constraints. Remarkably, one can impart a unique meta-stability by using the Golden Ratio angle to define the triangular facets of a generalized Yoshimura. As a result, when its facets are strategically popped out, a ``Golden Ratio Yoshimura'' boom with $m$ modules can be theoretically reconfigured into $8^m$ geometrically unique and load-bearing shapes. This result not only challenges the existing design norms but also opens up a new avenue to create deployable and versatile structural systems.

Some of the largest employers in the world are increasingly, and in some cases controversially, relying on AI-based technologies to hire new workers. Companies like Tesla, Accenture and LinkedIn are using technology from Pymetrics to better vet qualified candidates and reduce the time and resources required for what has traditionally been a labor-intensive hiring process. The company, which boasts more than 80 global clients, uses a blend of data science and I/O psychology to create its "people recommendation engine." The Pymetrics platform is designed to improve employee retention while also increasing efficiency and diversity throughout the recruiting process. The results are parsed by AI to generate measurements related to candidates' problem-solving skills, ability to multitask and even their levels of altruism.