Looks like it supports alternative proof of employment. They don't require disclosing identity as long as they are convinced you work for these companies.

And you propose that how exactly? Every method they mention has identity attached to it in some way. They specifically want to be able to deduplicate submissions too, so I don't see what non-identifying options you're imagining they might accept either.

I don't have solutions but I have similar experiences about this. It's probably a difficult problem since there are so many different queries and differences in the geospatial data.

I think "understand this directory deeply" just gives more focus for the instruction. So it's like "burn more tokens for this phase than you normally would".

It looks like typical "memorization" in image generation models. The author likely just prompted the image.

The model makers attempt to add guardrails to prevent this but it's not perfect. It seems a lot of large AI models basically just copy the training data and add slight modifications

Remember, mass copyright infringement is prosecuted if you're Aaron Schwartz but legal if you're an AI megacorp.

> It seems a lot of large AI models basically just copy the training data and add slight modifications

Copyright laundering is the fundamental purpose of LLMs, yes. It's why all the big companies are pushing it so much: they can finally freely ignore copyright law by laundering it through an AI.

> It seems a lot of large AI models basically just copy the training data and add slight modifications

This happens even to human artists who aren't trying to plagiarize - for example, guitarists often come up with a riff that turns out to be very close to one they heard years ago, even if it feels original to them in the moment.

That's interesting. Here is more information https://sqlite.org/th3.html

The roots of SQLite are in defence industry projects of US Navy and General Dynamics. Seems like TH3 might be of interest for these sort of users.

The bar is higher for AI in most cases.

Genetics may predispose for nicotine addiction, obesity, alcoholism, etc. This is intended design of genetic studies which look at multiple genes, like twin studies, GWAS studies, etc.

I think the studies which find a single gene variant which would have large impact on lifespan would be interesting. Not sure if variants like that exist though.

Geneticist would say it's intended design of twin studies. Your example doesn't show AIDS is a genetic defect, but that genetics may predispose/protect against it.

Environmental effects are not necessarily modifiable. It includes randomness, background radiation, unknown risk factors, anything which is not genetic.