The magazine’s incoming print editor says the edition backs researchers chasing synthetic blood, animal speech, and moon habitats.
MIT Technology Review’s new print editor used her introduction in the magazine’s latest edition to announce a shift toward experimental, ambitious coverage. The issue gathers reporting on ideas that mainstream labs treat as long shots, including synthetic blood, animal speech decoding, moon habitats, and brain uploading.
The editor, a science and technology journalist with more than 20 years of experience, took over the print magazine in the spring. She wrote that she spent her career balancing ambition against feasibility, and that editor in chief Mat Honan asked her to introduce both herself and the issue. The edition also brings back regular lists and infographics.
Operators reading the issue get a map of which speculative research programs still attract serious editorial and scientific attention. The editor framed technology as a discipline that applies cutting-edge research to make life better, safer, and healthier, and one that must also repair damage it causes, citing forever chemicals, traffic deaths, and AI systems that encourage risky user behavior.
The editor described the issue as the opening move in a broader willingness to experiment, not a one-time theme. Readers should watch whether the magazine keeps its revived lists and infographics and whether future editions apply the same scrutiny to ambitious AI projects that they give to synthetic biology and space research.
What matters
- MIT Technology Review’s new print editor introduced herself and a themed issue on far-fetched research.
- The issue signals editorial appetite for speculative bets, which shapes which research reaches operators.
- Watch whether later issues keep the experimental formats once the current editorial push settles.
Why it matters
Watch whether later issues keep the experimental formats once the current editorial push settles.
This GenAI News article was prepared in original wording using reporting and materials published by MIT Technology Review AI. Source reference: https://www.technologyreview.com/2026/10/21/1146053/editor-letter-we-can-do-impossible-things/.
Drafted by the GenAI News review pipeline.
