DTN 001: Innovation is Down Bad

Plus: Chinese researchers claim to break encryption, fungi are eating your CDs, and only $4B worth of crypto was stolen last year.

Welcome to The Deep Tech Newsletter, a weekly exploration of the business, science, and engineering behind the world’s most important frontier technologies.

The Big Picture

“The number of science and technology research papers published has skyrocketed over the past few decades — but the ‘disruptiveness’ of those papers has dropped. Data from millions of manuscripts show that, compared with the mid-twentieth century, research done in the 2000s was much more likely to incrementally push science forward than to veer off in a new direction and render previous work obsolete. Analysis of patents from 1976 to 2010 showed the same trend. (Nature)

“Based in El Segundo, California, Aerojet makes a range of rockets, including hypersonic engines and electric power systems…Aerojet agreed in December 2020 to be bought by Lockheed Martin Corp. [but] that deal was terminated after the Federal Trade Commission moved to block it on antitrust grounds. The deal would follow L3Harris’s agreement in October to buy Viasat Inc.’s tactical data links division, which was seen as helping compete with larger Pentagon suppliers such as Raytheon and Lockheed Martin.” (Bloomberg)

Cryposat has launched the second of its isolated computational environments, a CubeSat named Crypto2, into low Earth orbit. The small satellite is no larger than a mug, but boasts 30 times more computational power than the company’s first satellite that launched in May 2022. Cryptosat aims to improve cryptographic security for sensitive operations by isolating computational environments in orbit where they cannot be so easily targeted.(The Block)

“The method, outlined in a scientific paper published in late December, could be used to break the RSA algorithm that underpins most online encryption using a quantum machine with only 372 qubits — or quantum bits. “As far as I can tell, the paper isn’t wrong,” said Peter Shor. He added, however, that the Chinese researchers had “failed to address how fast the algorithm will run”, and said that it was possible it “will still take millions of years.” (Financial Times)

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