@paul @codinghorror @thomasfuchs

It’s a miracle this works as well as it does.

But knowing how it works, you can see where the “hallucinations” come from: if you ask for a legal brief and there is no precedent in the stats for the argument, it will generate words that statistically best fit the question, including fake cites if that statistically seems to fit

@paul @codinghorror @thomasfuchs

So in this sense the weather model knows what atmosphere is how to simulate it

By contrast, language models don’t understand what paragraphs, sentences, or words mean. They are just statistical models which pick a sequence of words and punctuation that closely match what a likely response to your prompt should look like.

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@paul @codinghorror @thomasfuchs good question!

Weather models simulate the atmosphere. They do this by subdividing the map into sections, simulating the section, then integrating the result. Each loop of simulation is for a period of time (eg an hour of simulated time). Loop for however many hours into the future you want to predict.

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@codinghorror @thomasfuchs this is incorrect. Weather models do understand weather and simulate the atmosphere to achieve their predictions. Randomness is sometimes introduced to see different outcomes if the initial measured conditions aren’t quite right

It’s not statistical in the sense of a language model. Also putting in “looking at studies” in your prompts might just be cluing the generator to make a more serious sounding answer that matches you language

@film_girl
As a mini fan…. *cries*

Something something accessibility for small hands and old arthritis hands

@PadraigOCinneide @marcoarment
Obama is the same generation.

WWII Vets served from 1953 to 1993. That’s longer than the boomers. Even if you exclude Eisenhower, it’s still longer than the boomers have been in power

Sorry, but we GenX just don’t matter. Good luck Millenials, and please give me better insurance.