Nathaniel Whittemore
speaker
48,511 appearances
192 recordings
3 series
first heard Oct 2025
last heard 3d 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 — 192 in all, peaking in Jun 2026 with 31.
Appearances
In other words, people have access to ChatGPT or Claude.
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But what Alex is talking about is a specific work harness.
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harness, an environment in which models operate that is designed specifically for advanced knowledge work and coding, whether that's for software engineers or for non-software engineers who are now using code as part of the way that they do their job.
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Getting comfortable with a harness means getting comfortable with context.
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It means being able to understand and organize skills, as well as understanding how to provision access to different tools.
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Like I said, nothing controversial here.
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The one thing that I will note is that I think that we are going to increasingly see people
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rolling their own harnesses, often on the basis of an open source foundation, for example, Deep Seek's harness that just came out, because they're gonna want peak flexibility and they're not gonna want to deal with things like investing in cursor only to have it sold and no longer being able to access certain models through it because of that sale.
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Feature number three is one that many in the comments noted is to use AI's favorite term right now, load-bearing for the rest of the features.
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The idea is to build one intelligence layer, to aggregate structured and unstructured data, documents, and business logic into a single source of truth that is queryable, and that agentic work can be built on top of.
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It is unquestionable that AI native organizations are going to get good at organizing the context their agents need to work.
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Context management is and will continue to be a major discipline in this new org transformation period.
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To the extent that I have quibbles here, which is really just for the sake of interesting conversation, I kind of like the metaphor of a mesh or lattice rather than a single layer.
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Because I think, especially as you get into larger organizations, trying to have a single source of truth for everything rather than sources of truth that can interface with one another and that agents can traverse, perhaps even
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even uncovering and trying to reconcile with human support differences in sources of truth is perhaps a more accurate reflection of how this is going to look with the biggest organizations, but obviously the substantive point underneath remains.
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Feature four of agent native organizations is one that has been a big subject of conversation on this show for the last few months, which is about using model routing to optimize cost per successful task across the business.
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I think this is right, but it's not just a matter of task routing.
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I think that task routing is part and parcel of an overall model architecture that is designed to be adaptable and flexible to different types of tasks.
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I think in some cases that will be reducible to using a route.
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But in many cases, it will also implicate a larger architecture based around that idea of matching task difficulty to model capability.
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Showing 1941–1960 of 48,511 · page 98 of 2426
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