Nathaniel Whittemore
speaker
48,511 appearances
192 recordings
3 series
first heard Oct 2025
last heard 6d 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
Of that sort of approach.
podcast-host
Now that we've crossed this capability threshold where many, many models are good enough right now to actually do this sort of creative work and will be vanishingly cheaper than they are right now six months from now, I think that's when you'll start to see this sort of experimentation become a little bit more normalized.
podcast-host
And I think it's going to be super, super interesting to see.
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Fascinatingly, and it's way beyond the scope of this particular conversation, I almost see a marketing barbell where you are going to have just
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Doctor Strange, crazy agentic swarms on one end of the spectrum, and utter, number denying human taste for brand campaigns on the other.
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Basically Rick Rubin on one side and machines on the other, and somehow it'll work.
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Feature 19 is another specific marketing recommendation of auditing, rewriting, and generating SEO and AEO optimized articles every week, then measuring to see whether any of it worked.
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I think the broader idea is that there is just so much interesting room for experimentation with content-based strategies now that the cost of producing content has gone down.
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Like so many of these recommendations, the idea here is that the AI native organization is not just going to do the thing, but to build learning systems around.
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around the thing to do it even better in the future.
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With feature 20, we're getting into cybersecurity, something that has obviously proven itself to be extraordinarily important over the past several months.
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Alex suggests that AI native organizations are going to fight AI with AI, using agentic cybersecurity systems built to defend the organization against AI-powered threats.
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Now, I think this is absolutely true, but boy, is there a lot to figure out about exactly what type of cybersecurity capabilities organizations and legitimate defenders are going to have access to.
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and how that's going to be provisioned.
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These are going to be some of the most important design and policy questions for AI companies and governments in the immediate term now that we've crossed some of these critical cyber thresholds.
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We're in our final third, and I'll pick up the speed a little bit from here.
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Feature 21 is another approach to token efficiency and cost management, combining a reinforcement learning gym with first-party data to fine-tune open source models for high-volume processes that need state-of-the-art performance at reasonable cost.
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Basically, we now live in a world where the prevalence of customizable and post-trainable open weights models that are very near the frontier opens up a lot of new opportunities for AI native organizations.
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many of which will find that this sort of model discipline is actually going to be useful for them.
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Still, I would say that I don't believe that every organization is all of a sudden going to be rolling their own models.
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Showing 2081–2100 of 48,511 · page 105 of 2426
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