One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
I remember the first time I remembered a smell. This was remembering to the extent that it stopped me in my tracks, taking me back to a specific moment, a specific place and a specific feeling. The smell was that of a bike shop. Mainly rubber, with notes of oil and plastic and a strong hint of sheer excitement. In that instant I was about 10 years old, in Bache Brothers Cycles at Lye Cross, near Stourbridge, in the West Midlands. My grandad was next to me, with the shop man. I was getting a bike for my birthday.
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"This sort of semiconductor would go on to be in the 5G tower in which you get your mobile phone signal, it's going to be in the car charger you plug an EV into, it's going to be in the latest planes."