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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Appearances
And I think there's been a number of good pieces on this.
Manus put out a great piece talking about context engineering with Manus.
And they made the point that the typical Manus task
is like 50 tool calls.
Anthropix Multi-Agent Research is another nice example of this.
They mentioned that the typical production agent, and this is probably referring to Cloud Code, could be other agents that they've produced, is like hundreds of tool calls.
When I had my first experience with this, and I think many people have this experience, you put together an agent,
You're sold the story that's just tool calling in a loop.
That's pretty simple.
You put it together.
I was building deep research.
These research tool calls are pretty token heavy.
And suddenly you're finding that my deep researcher, for example, with a naive tool calling loop was using 500,000 tokens.
It was like $1 to $2 per run.
I think this is an experience that many people had
And I think it's kind of that the challenge is realizing that building agents is actually a little bit tricky because if you just naively plumb in the context from each of those tool calls, naively, you just hit the context window of the LLM.
That's kind of the obvious problem.
But also, Jeff from Chroma spoke about this on the recent pod.
There's all these weird and idiosyncratic failure modes as context gets longer.
So Jeff has that nice report on context rot.
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