334 karma · joined April 10, 2015
Illegitimately, there are tons of options
If you have a message that takes 100 words to say, do not use a LLM to add 400 words to it, this isn't a school assignment! Stretching a spaghetti does not yield more spaghetti, it just makes a mess!
Where is the value the LLM adds? Grammar? Vocabulary? The price you pay is you sound like everyone else and your original message is lost in the noise.
The problem with LLMs outputting English is that they're very good at bullshit and it can be really hard to see through the nonsense. The output can be skewed by the model parameters and this can be really hard to spot.
The compiler analogy doesn't work: compilers are (mostly) deterministic and I can verify their output if I wanted to, just ask the compiler to output assembly.
With code generation I can also more or less instantly see if the code is correct or not, because code has less words than human language. The same would apply to images: it would take even less time to see if a generated image is correct or not. That said, I don't use AI for image generation, since I have no use for it.
Just like I don't want to look at AI art or listen to AI music, I don't want to read AI written blogslop.
The web is now full of shit. What a waste.
Depending on the direction of the coolant flow, you get either a indoor heating or cooling unit. This is best demonstrated by going in front of the outdoor unit of a heat pump, when they are cooling, the outdoor unit generates heat because it's compressing gas, which then is then expanded when it reaches the indoor unit, generating cold. Exactly like a refridgerator.
So, just like you won't go blind from a bottle of brandy, you won't go blind from distilled wine. However, you're likely to have a serious headache the morning after.
Perhaps in the future artists will be used to train models that can output a certain style of art and the artist will receive royalties based on their influence on the trained model and its popularity.
We've trained chimps and gorillas for decades and they have never asked a single question
So the only way to start fresh here is to raise billions in capital. Unless you're Volkswagen or something, when you could invest billions in an enterprise like this one.
Here's a timeline of Emacs https://www.jwz.org/doc/emacs-timeline.html