Nathaniel Whittemore
speaker
48,511 appearances
192 recordings
3 series
first heard Oct 2025
last heard 4d 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 — 192 in all, peaking in Jun 2026 with 31.
Appearances
Ways to improve them, share them, access them, et cetera, across the organization, not just within the silo of any individual, is going to be increasingly important.
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Future number eight is about the changing relationship between technical and non-technical team members.
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I think we're mostly past the days where people think that when we talk about vibe coding or using code for knowledge work, we somehow mean that all of a sudden the folks in marketing and HR are going to be the software developers instead of the existing engineers.
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That's not what's happening.
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But what is happening is both that those knowledge workers are for the first time able to build things themselves.
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As a way to help do their job.
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And second, they have more ability to contribute to product and engineering discussions than they might have in the past.
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Feature eight of AI Native Companies from Alex's list is to separate intent from implementation, to keep technical implementation separate from high-level specifications, so non-technical staff can contribute in a format agents can turn into implementation plans.
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I think one of the ways that this will play out is as we see more agents triggered from shared spaces, that's a natural place for some of this to happen.
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For example, when Claude Tag was announced, one of the more remarkable things about it was members of the Anthropic Technical Team saying that that was how they initiated a lot of their building now.
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And by a lot, I mean the number that sticks out in my head is like 60% or something ridiculous like that.
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If agents are being triggered from shared spaces, that creates more of an opportunity.
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For different people to contribute to those conversations, but that in and of itself is going to create a different type of burden and new types of system requirements, which is what Alex is talking about here.
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Feature number nine is a cost efficiency feature, where AI native companies will make cost per accepted pull request a key software metric and drive it down through better token efficiency.
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I think we are just at the beginning of the period of figuring out what the key metrics of agentic delivery are.
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And what's clear to us at this point is that whatever the metrics we land on are, it's likely that they include some sense of completeness as well as cost per completeness in order to be able to better compare.
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model harness combos in a more apples to apples kind of way.
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Every AI coding tool on the market does the same thing first.
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It starts writing code.
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Blitzy does the opposite.
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Showing 1981–2000 of 48,511 · page 100 of 2426
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