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 over the last 12 months — 11 in all, peaking in Jun 2026 with 5.

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In many cases, that's just a tokenization feature rather than a failure.

And the model just has never, ever seen the individual letters.

It just saw the straw and the berry as separate words, and that's why it's counting it off.

So modern models have various workarounds, but many of the AI is so dumb memes are literally just tokenizer issues.

So that's tokens.

In terms of what everyday work costs, I think that's a good kind of mental model to have.

So for example, drafting an email is around 500 to 700 tokens.

A page of text, as noted, is about 1,000 tokens.

You can see a longer text can be more than that.

If you send a model or a tool to do like an AI web search, often it will add a few thousand more tokens

for the results, sometimes much more.

Images, interestingly, in many cases, are not that large in terms of how many tokens.

They are roughly around slightly more than 1,000 tokens.

Interestingly, deep research can very easily be 70,000 or hundreds of thousands of tokens.

But just the other day, one of our learners in one of our courses had a yes-no question.

And accidentally, instead of asking for a web search for the problem, he was asking for the agentic tool to do a

deep research.

The tool spawned about 100 sub-agents to do the research, and then his yes-no question cost over 4 million tokens just to answer this question.

So it can very easily amount to much more than that.

Specifically, a few additional places where you can find very token-heavy workloads will be data analysis.

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