247 karma · joined October 7, 2021
This led to the first AI-related project I undertook that really blew my mind. I wrote a python script that read the captions, then sent them to ChatGPT with a prompt that asked it to get the exact coordinates of any locations mentioned, and to get dates for captions that mentioned a holiday or other even, but not a date, e.g.: "Christmas 1987," my birthday, which I included in the prompt, etc. I was then able to apply the results to the exif data the majority of the photos.
Now when I open Google Photos, my timeline stretches back to the day I was born, and the location heatmap shows the where photos were taken on extensive road tripping we did as a family.
https://www.irs.gov/e-file-providers/free-file-fillable-form...
It's amazing and in some ways frightening that I had an interesting problem, and within a couple hours I had a fully functional app that completely solved it.
In the United States, the Environmental Protection Agency assumes the typical car is driven 15,000 miles (24,000 km) per year. According to the New York Times, in the 1960s and 1970s, the typical car reached its end of life around 100,000 miles (160,000 km). Due in part to manufacturing improvements, such as tighter tolerances and better anti-corrosion coatings, in 2012 the typical car was estimated to last for 200,000 miles (320,000 km) with the average car in 2024 lasting 160,545 miles according to the website Junk Car Reaper.
Can you cite a source for this? There's no question that they're vastly more complex, but I would think that modern car manufacturing is far more exacting (and efficient) than in the past.
If you're saying that older cars are more repairable, I'm happy to agree with you, even without a source to back up that claim.