fxwin
Joined 1 year ago
Joined 1 year ago
For me it's mostly the latter, which is a natural consequence of LLM writing. When the (time) cost-per-word goes down, there is less incentive to keep signal-to-noise ratio high, so it ends up verbose and bloated. I also believe that this is (at least partially) upstream from everything sounding identical: take two articles on two different subjects - when SNR is high, there isn't really much room for them to become similar (The ingredient list for a risotto will never read the same as the ingredient list for pizza), but when 80% of them is fluff, they can blend together more easily (To take the recipe comparison, this would be the background/story part above the recipe), especially when written by the same LLM
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This is the main reason I heavily dislike the obviously AI generated Flyers, posters and menus you see so often nowadays. When i look at your menu, flyer or poster, the main thing I want to know is "What is this and what can i expect from it?". Real photos of your actual food, embedded in an AI generated layout/design? Good! Great even! "Chatgpt, please make me a flyer for my burger joint"? might as well have a no pictures plaintext flyer/menu.
I'm not sure I'm following? A raise in temperature doesnt in itself cause any particular wildfire, drought or tsunami (just like the weight in a coin won't), but these events get more and more likely (just like losing the coin flip as the coin gets more and more unfair). This doesn't assume anything about the actual probability or trajectory we're on, if i measure my coinflips and they turn out to be 50/50 the argument is just as valid
> strong evidence
I think that pointing to 1 singular graph as "strong evidence" is a bit shallow. there are plenty of reasons to think that there are many confounding variables here.
I agree! Intuitively i would think that most ecosystems evolved to adapt to their environment and, unless this environment is characterized by large swings in temperature and other conditions, will suffer in conditions different from the ones they evolved to thrive in. That means that any change in conditions needs to be slow enough for these ecosystems to gradually adjust by whatever means they have access to.
One difficulty you will encounter when looking into the effects of climate change is that you can't generally attribute individual events to it (or very rarely at least). Its effects are only really visible in more general (abstract) statistical measures (Just like me losing a coin flip doesn't mean the coin is weighted, but when i lose 8 out of 10 flips i will start getting suspicious)