Nathaniel Whittemore
speaker
51,694 appearances
202 recordings
3 series
first heard Oct 2025
last heard 3d ago
Nathaniel Whittemore’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 — 202 in all, peaking in Jun 2026 with 31.
Appearances
As Chubby sums up, JEV is an AI model built for decisions rather than text generation.
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And it is important to note that the trade-off here is that this model does not generate text.
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It is not, in other words, a replacement for LLMs in general.
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It's a replacement for a certain category of work that LLMs do, where they've been very square peg mashed into a round hole to do it.
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The idea continues Chubb.
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is to embed fast, cheap AI decisions into software.
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So what is this model actually built for?
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Well, think of how much of office work consists of reading something and deciding what should happen next.
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Does this message need a response?
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Which department should handle it?
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Does this document answer the question?
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Is this customer describing a bug or asking for a feature?
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Does this draft make a claim its source doesn't support?
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Is the situation routine enough to automate or should someone review it?
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These are judgments about meaning, and they're often difficult to express as fixed rules.
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JEV then is designed to take the relevant information and answer narrowly defined questions with probabilities, categories, or scores.
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The surrounding software then uses those answers to route, rank, flag, or proceed.
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In the TypeSafe documentation, they explicitly recommend breaking complex decisions into small questions and then combining their results in code.
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So where would this show up in normal business?
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One obvious area is customer support, where the small judgment the model could make would be something like, is the customer frustrated?
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Showing 2681–2700 of 51,694 · page 135 of 2585
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