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Home Tech

The Download: threats from space mirrors and credit for AI drugs

by Theinsightpost
August 23, 2026
in Tech
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Later this year, Reflect Orbital plans to launch a test satellite that will extend an 18-by-18-meter mirror in orbit. The goal is to eventually launch up to 50,000 larger satellites that can reflect sunlight to Earth on demand.

Reflect Orbital says the technology could extend sunlight for solar panel charging, emergency response, and military activities. But new research suggests the giant beams could shine as bright as 10,000 full moons and scatter light over tens of kilometers, raising concerns about dark skies, aviation, and wildlife.

Read the full story on the fierce debate over the space mirrors.

—Jonathan O’Callaghan

When AI designs a drug, who gets the credit?

When Insilico Medicine used its computer models to propose a promising drug for pulmonary fibrosis, it enthusiastically claimed that the molecule had been “discovered by” generative AI. But when it filed a patent, the company made no mention of AI. Instead, it named five humans as the drug’s “inventors.”

The discrepancy points to a fascinating wrinkle in intellectual-property law. No matter how fundamental an AI is to a discovery, when it comes to winning rights to an invention, it’s humans—and only humans—who can take the credit.

As AI models become capable of generating drug designs as easily as ChatGPT can write a thank-you note, the question of who actually invented something could get much harder to answer.

Here’s how AI drug discovery could force patent law to confront what it means to invent.

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      Clear examples do more than decorate an explanation: they show how an idea behaves under recognizable conditions. In education and software documentation alike, strong illustrations begin with a defined goal, then reveal the steps, assumptions, and result without unnecessary detail. A practical test example should state the input, expected output, and boundary condition, because these elements show whether a rule works beyond the simplest case. Including a contrasting case also helps readers distinguish a valid application from a tempting but incorrect one, while concise notes explain why the outcomes differ. When examples are updated with current data and checked against the underlying rule, they remain useful across classrooms, product guides, and professional training.