This is really neat. It would be interesting to talk with the character generated.

After having my first child (a girl who is now nearly 3 years old) these stats impact me so much more. My first roll was a girl in the Iraniam plateau in the 18 century who had a 33% chance of dying before they reached 5. She managed to live to 70 but experience so much death in her life.

I can't imagine my daughter dying before she reaches 5, it feels like it would be the worst feeling I could possibly imagine and then some.

15,370 BCE feels like a lottery roll. I doubt I’ll live long.

Edit: oh it’s not weighed by population? I was expecting 99% of rolls to be in recent times.

This reminded me about the US nutters advocating return to the "way things were": they would do well to consider life expectancy. My draw from 1881 Mississippi would max out at 36.

The data will be much clearer in the future, once all of our data has been mined. We create so much personal media and collected data that some point in the future when one entity has loaded that, a crazy real autobiography could be created.

I think it would be more interesting if you entered your own real data and then the LLM gave you statistics based on that info on where you are on your own life path based on consensus data.

I died of dysentery shortly after birth. So basically, Oregon Trail - Ancient Edition.

It's funny to pick a birth year from our era and think of how history will represent us:

Martha was born in the countryside near Short Pump, in 1993 CE. Her village holds about 300 people. She makes her home in a timber-framed detached house. Martha has neither brothers nor sisters. She eats mostly wheat bread and maize, pork and dairy, and potatoes and garden vegetables, with apples in season, and coffee, soft drinks and snack foods too. She knows her letters. Her height is about 171 cm (5 ft 7 in).

It seems like the server might be overwhelmed

Very cool project

I was wondering if the generated people “fill up a spot” and temporarily change the stats for generating new lives. Eg, if the app already generated 10M stories, is it still using the same initial distribution for the new ones, or is generation conditioned on the stats of the already generated?

The random life I got: https://anyhumanever.com/life/1323665477-1682995380-16357802...

I think this would be cool if it actually worked as intended. This simulation doesn’t even draw birth years correctly.

The right way would be to bucket people by something like 1 million. Everyone in the bucket has the same sex, birth year range, and location range. Then draw a bucket uniformly and infer the details.