When training ai, I was always confused that they never gave a sht about tokens, like that was never something you picked any model over another for or reviewed, it often says to ignore the length but make note of how long it took, tbh that could be because of reasoning text not shown to the user
That’s interesting to hear. I wish efficiency had been considered from the start. It seems like there has been a ton of waste. They should only do the calculations needed to achieve the user objective. But they were prioritizing market share over efficiency. Maybe they thought they could afford another couple years of subsidizing wasteful use to build market share, but it hasn’t turned out that way.
The only time character or word count was even looked at was when it was specified in the prompt. Like if someone asked for 900-1000 words you would check to see if it fit as one of your tasks which was odd since I literally used word counter sites making that process something that could be easily automated.
When training ai, I was always confused that they never gave a sht about tokens, like that was never something you picked any model over another for or reviewed, it often says to ignore the length but make note of how long it took, tbh that could be because of reasoning text not shown to the user
That’s interesting to hear. I wish efficiency had been considered from the start. It seems like there has been a ton of waste. They should only do the calculations needed to achieve the user objective. But they were prioritizing market share over efficiency. Maybe they thought they could afford another couple years of subsidizing wasteful use to build market share, but it hasn’t turned out that way.
The only time character or word count was even looked at was when it was specified in the prompt. Like if someone asked for 900-1000 words you would check to see if it fit as one of your tasks which was odd since I literally used word counter sites making that process something that could be easily automated.