Nufar Gaspar
speaker
2,488 appearances
11 recordings
1 series
first heard Oct 2025
last heard 3 Sep
Nufar Gaspar’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 11 in all, peaking in Jun 2026 with 5.
Appearances
They didn't hide it.
Roughly 30% more tokens for the same text.
So there were quite a few independent analysis of over a million requests that found native tokens.
They grew and the count grew by about 32 all the way to 45%.
And the real world bills grew by 12 to 27% because some of the difference was absorbed by caching.
Even Simon Wilson, he measured one of his own prompts at around almost one and a half X more tokens.
So even though it was documented, de facto, we paid more for the same intelligence.
And this is like a shrinkflation, right?
The same sticker price, but a smaller candy bar.
So nobody prints now 30% free awards per dollar, which is the case that happened there.
So that's something that is constantly changing.
Every lab tunes the tokenizer and often for good reasons.
But the operator lessons here is that we have to talk about dollars per task and not dollar per token because the budget is like a moving denominator and it's not the way for you to try and understand how much it's going to cost.
Let's talk about what tokens are used for by the AI tools.
And you have to understand that every AI request has three token layers, and they are priced very differently.
We have the input tokens.
Those will be the prompts and the conversation history and the files and the tools definition and everything that is part of the input.
This is what the model reads, and this is the cheapest.
per token, but can accumulate fast because if the history is being recent or if a lot of context is being read, that can cost quite a lot.
Then we have the reasoning tokens.
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