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In total there are 10 separate investigations – or modules as they are called. So far only two, looking at pandemic preparedness and government decision-making, have been completed.
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Фото: Abdul Khaliq Achakzai / Reuters
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.
I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained: