Andrew Lee
speaker
2,833 appearances
3 recordings
1 series
first heard Mar 2025
last heard 15 May
Andrew Lee’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 — 2 in all, peaking in May 2026 with 1.
Appearances
You somehow need in in our case, you might have an agent that's been running for a long time that's you know processed you know 100,000 emails.
Um obviously you can't fit all of those into you know any sort of reasonable uh uh token budget.
So you have to give the illusion to the user that not only have you fit those things in.
But uh that the LLM is still able to reason intelligently with like a huge context.
And you do that by, you know, there's a lot of methods here, right?
So um you can uh
You can hide things um inside tool calls.
And then you probably saw the the stuff from Anthropic recently.
Like one of the things you can do is just like
High the results of school calls.
Um you can do LOM-based compaction.
So you can say, you know, we're gonna rewrite take take some big section and we're gonna take a model and we're gonna summarize that some way.
Um you can do things in sub agents.
So like when our subagents run, we're not giving them the whole chat history, we're giving them some you know, tailored portion of of that chat history.
Um
So
I see this as a major a major focus for us is, you know, giving the the user the illusion that everything they've ever said at this thing and every email that's ever been processed is being considered at all times without actually doing that.
And I think that's a it's a fun problem.
Yeah.
Th this is very much a a a core part of the challenge.
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