MIT Technology Review’s Puzzle Corner welcomes new contributors in September/October 2026 edition
Michael S. Branicky, Edward Faulkner, and Abe Kunin lead the latest instalment, which also highlights coverage of AI models, the Enhanced Games, and cybersecurity risks.

MIT Technology Review has published the September/October 2026 edition of its Puzzle Corner column, continuing a tradition that began when editor emeritus Allan Gottlieb launched the series in 1966. The latest instalment is curated by Michael S. Branicky, who holds a ScD from 1995, and represents the work of the Puzzle Corner Puzzle Crew, known as PC2.
The crew also includes Edward Faulkner, who graduated in 2003 with a Master of Engineering in 2004, and Abe Kunin, a 2003 graduate. Together, they present a new set of challenges for readers while simultaneously providing solutions to the puzzles featured in the preceding May/June issue.
Readers interested in contributing to the column are encouraged to submit problems, solutions, and comments to [email protected]. The deadline for these submissions is 1 October 2026. Those wishing to review past editions can access back issues through 2022 at cs.nyu.edu/~gottlieb/tr, with more recent archives available at technologyreview.com/puzzle-corner.
Beyond the puzzles, the publication highlights several other recent articles. These include details on a new model released by Subquadratic, noting that some observers remain skeptical of the development. The issue also covers the Enhanced Games, where dozens of athletes competed using performance-enhancing drugs, with organisers hoping to sell supplements such as peptides.
The edition further addresses cybersecurity vulnerabilities, warning that systems can be tricked into performing harmful actions, such as revealing methods to sabotage an aircraft’s navigation system. Additionally, the publication examines social issues, including reports of donor-conceived individuals finding hundreds of siblings, with suggestions that an international cap on donations could help prevent such outcomes.

