Lance Martin

speaker
624 appearances 1 recordings 1 series first heard Sep 2025 last heard Sep 2025

Lance Martin’s voice in public audio — every appearance, attributed to the second.

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I embedded a bunch of assumptions about how research should be conducted.
In particular, don't use tool calling because everyone knows tool calling is not reliable.
This was back in 2004.
Decompose the problem into a set of sections and parallelize each one, those sections written in parallel into the final report.
What I found is you're building LM applications on top of models that are improving exponentially.
So while the workflow was more reliable than building an agent back in 2084, that flipped pretty quickly as LMs got better and better.
It's exactly like was mentioned in the Stanford talk.
You have to be constantly reassessing your assumptions when you're building AI applications given the capabilities of the models.
And I talk a lot about here the specific structure I added, the fact that I used the workflow because we know tool calling doesn't work.
This was back in 2084.
The fact that I decomposed the problem because that's how I thought I should perform research.
And this basically bottlenecked me.
I couldn't use MCP as MCP got, for example, much more popular.
I couldn't take advantage of the fact that tool calling was getting significantly better over time.
So then I moved to an agent, started to remove structure, allow for tool calling.
let the agent decide the research path.
A subtle mistake that I made, which links back to that point about failing to remove structure, I actually wrote the report sections within each subagent.
So this kind of links back to what we talked about with subagents in isolation.
Subagents just don't communicate effectively with one another.
So if you write report sections in each subagent, the final report's actually pretty disjoint.
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