If a salesperson uses 100 000 tokes for translation, which gives him $10 000 in sales.
And a programmer uses one million tokes, which gives him $100 in sales (or value).
What is then the value of a token?
The comment I answered asked where there is an industry finding 10s or 100s of billion of dollars in value from LLMs. The answer is translation. It's the value they as customers get out of the LLMs, not what cost they are paying for the LLMs.
Value has to be counted in production, not consumption.
> Developers and Automation are the 'primary' uses cases for AI
Just like programmers and scientists were the primary users of the Internet when it began. But things change rapidly.
Of course a sales person can make $10k from a transaction. It depends entirely on what he is selling. But you can split it into smaller chunks if you so wish. Since unlimited high quality LLM translations are about $120 per year right now.
But why are you talking about "basic translation"? There is no commercial need for that. It has to be high quality, and LLMs deliver that. Human translators deliver that as well, but at a much higher price.
Your number 2 point, what do you mean? In many cases if there was no translation, then there wouldn't have been a sale. It's a direct driver.
Your number 3 point: No matter how cheap it is for the user, the economic value from LLM translation will still be counted in the trillions of dollars. Just like e-mail (which is cheap or free for the user). But you will need an enormous amount of storage space on your local machine to have perfect quality translation between dozens of languages.
I don't know why hackers want to diminish the value of LLM translations. The commercial need for translation is not for finding out what a word means. It needs to be of the highest quality, comparable to professional human translators.
And a programmer uses one million tokes, which gives him $100 in sales (or value).
What is then the value of a token?
The comment I answered asked where there is an industry finding 10s or 100s of billion of dollars in value from LLMs. The answer is translation. It's the value they as customers get out of the LLMs, not what cost they are paying for the LLMs.
Value has to be counted in production, not consumption.
> Developers and Automation are the 'primary' uses cases for AI
Just like programmers and scientists were the primary users of the Internet when it began. But things change rapidly.