Why do you say it's not included? Why wouldn't they include it.

If every photo in streetview was included in the training data of a multimodal LLM it would be like 99.9999% of the training data/resource costs.

It just isn't plausible that anyone has actually done that. I'm sure some people include a small sample of them, though.

Why would every photo in streetview be required in order to have Geoguessr's dataset in the training data?

I’m pretty sure they are saying that Geoguessr's just pulls directly from Google Streetview. There isn’t a separate Geoguessr dataset, it just pulls from Google’s API (at least that’s what Wikipedia says).

I suspect that Geoguessr's dataset is a subset of Google Streetview, but maybe it really is just pulling everything directly

My guess would be that they pull directly from street-view, maybe with some extra filtering for interesting locations.

Why bother to create a copy, if it can be avoided, right?

Yet.

This is a good rebuttal when someone quips that we “are about to run out of data”. There’s oh so much more, just not in the form of books and blogs.

I just saw a video on Reddit where a woman still managed to take a selfie while being literally face to face with a black bear. There’s definitely way too much video training data out there for everything.

> I just saw a video on Reddit where a woman still managed to take a selfie while being literally face to face with a black bear.

This is not uncommon. Bears aren't always tearing people apart, that's a movie trope with little connection to reality. Black bears in particular are smart and social enough to befriend their food sources.

But a hungry bear, or a bear with cubs, that's a different story. Even then bears may surprise you. Once in Alaska, a mama bear got me to babysit her cubs while she went fishing -- link: https://arachnoid.com/alaska2018/bears.html .