Nathaniel Whittemore
speaker
52,364 appearances
204 recordings
3 series
first heard Oct 2025
last heard 2d ago
Nathaniel Whittemore’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 204 in all, peaking in Jun 2026 with 31.
Appearances
Payments, logins, apps, mobile-to-desktop hardware, everything is going to be rebuilt.
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Along those lines, Stripes' Jeff Weinstein wrote, "...while I love the new crop of consumer agents, I'm even more bullish regarding agentic payments for business.
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Starting a new project, provisioning third-party services, calling paid tools to solve a task, operating the company with agents."
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Look, obviously I am only one data point, but for months I have come close to but then decided against going particularly deep on the personal agent or consumer agent space.
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And yet here we are doing exactly that, and it's certainly not because this is a slow news week.
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Nascent though it may be, something is shifting right now.
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And if you haven't for a while, it may be a good time to check your priors and go out and actually try either Muse or Grokbot or Instinct and see if it might be more valuable than you think.
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Certainly that's my plan for the coming weeks, but for now, that is going to do it for today's AI Daily Brief.
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Appreciate you listening or watching as always, and until next time, peace.
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It's not every day that we get a new model to play around with, and it's certainly not every day that we get an entirely new approach to model building with some fairly different implications for how we even use it.
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Today though, we are talking about a new class of models which you might refer to as AI judgment models.
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Rather than producing long strings of text, these judgment models, like the one we're discussing today, Jev from TypeSafe, produce probabilities around specific questions.
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Is this customer angry?
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Is there a new dependency in this email?
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Do we need to change the operational plan because of this?
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Today we're exploring the idea behind these models, how they're trained differently, how they can produce these judgments much more quickly and much less expensively, and most importantly, where they're going to fit in your overall model stack.
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The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.
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Alright friends, quick announcements before we dive in.
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First of all, thank you to today's sponsors, KPMG, Blitzy, Section, and HyperAgent.
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To get an ad-free version of the show, go to patreon.com slash AIDLiebrief, or you can subscribe on Apple Podcasts.
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Showing 3181–3200 of 52,364 · page 160 of 2619
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