Nathaniel Whittemore
speaker
52,364 appearances
204 recordings
3 series
first heard Oct 2025
last heard yesterday
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 — 204 in all, peaking in Jun 2026 with 31.
Appearances
the customer concern to a manager.
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Or if it answers 0.1, not likely to be angry, that request might be deprioritized.
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However, chatbots are trained to respond with flowery text, like, you're absolutely right, this customer does sound very angry.
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Would you like me to compose a draft email response in a friendly, supportive tone?
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This text response would cause the program you're building to crash because it was expecting a number between 0 and 1, not an essay.
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Teal Fellow Michael Lee says, this allows a class of decision-making that was neither suited to dumb, unintelligent code, nor to slow, expensive LLMs.
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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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Showing 3061–3080 of 52,364 · page 154 of 2619
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