In the 1960s, France became the third country, after the US and Soviet Union, to independently place a satellite (Astérix) into orbit, and the only country to send an animal into space and – crucially, for Félicette the catstronaut – bring it back alive. A decade later, the Franco-British Concorde flicked passengers across the Atlantic in three and a half hours and the TGV began to propel them through the countryside first at 250km/h (155mph), and then 320km/h. Then, in the late 1980s, the French space agency designed a crewed spaceplane, Hermès, that corrected for the Nasa space shuttle’s vulnerability by being integrated into its launch vehicle rather than perched atop it.
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"You don't go from one uncrewed launch of SLS [Artemis I], wait three years, go around the Moon [Artemis II], wait three years and land on it."
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I completely ignored Anthropic’s advice and wrote a more elaborate test prompt based on a use case I’m familiar with and therefore can audit the agent’s code quality. In 2021, I wrote a script to scrape YouTube video metadata from videos on a given channel using YouTube’s Data API, but the API is poorly and counterintuitively documented and my Python scripts aren’t great. I subscribe to the SiIvagunner YouTube account which, as a part of the channel’s gimmick (musical swaps with different melodies than the ones expected), posts hundreds of videos per month with nondescript thumbnails and titles, making it nonobvious which videos are the best other than the view counts. The video metadata could be used to surface good videos I missed, so I had a fun idea to test Opus 4.5: