Nufar Gaspar

speaker

2,488 appearances 11 recordings 1 series first heard Oct 2025 last heard 3 Sep

Nufar Gaspar’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 11 in all, peaking in Jun 2026 with 5.

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The AI Daily Brief: Artificial Intelligence News and Analysis · Agentic Loops for Knowledge Workers · 3 Sep 2026 podcast

If I want to be more comprehensive, or I'm discovering that for my intents and purposes, it's gonna be better to separate the work.

I can do the same research as a graph, meaning as multiple agents that need to be orchestrated.

For example, I can send multiple parallel agents to research different angles that I'm interested.

So one can research Vendo, one can research more practitioners.

questioners are saying and one can research benchmarks.

And because these are tasks that are independent, I can run them very easily by multiple agents in parallel.

Then I can offload the results into a synthesizer, move it to a citation verifier that hopefully is not encumbered by everything that was done prior, such that it's a objective verifier.

And either the human can verify or maybe I would want to run another verifier by an agent before I publish and I can also maybe add and I will do that an agent that designs the output in a way that I like.

So when it is better, first of all, as as I said at the beginning, I want you to keep it simple.

And if one agent works well, that's good.

I want you to move into that in several scenarios.

First of all, scenario which I call a rubber stamp.

Your agent or your loop says done, everything checks out, and you keep finding issues that it should have caught.

In many cases, self-review is not the way to go, especially with things that are

Critical.

There is also a lot of work showing that models tend to agree with themselves.

If you use the same model to verify the results of the same like a GPT verifying GPT,

Odds are it will say that it's correct versus claude verifying GPT.

So in many cases, we want to fan out to a graph of multiple workers when we realize that the verification is not very reliable.

Another scenario will be that we identify context overflow.

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