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
5 · Jun OctJan 26AprJulnow

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

Appearances

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One last thing to say up front, because most of the work that you do regularly probably requires just let's call it regular agent execution and only in some cases you might need loops, the graph and the more sophisticated things should be for special occasions, meaning I want you to keep things simple and go into loops and graphs and multiple agent orchestrations only when uh needed.
So I want you to keep it simple while being mindful of the full breadth of how far you can take the modern technology.
Very quickly, what happened on social for those who are not sitting in the echo chamber of Twitter X all the time.
In July, six words by uh the founder of uh OpenClaw.
What he was basically saying is that we're no longer talking about loops, we're talking about graphs very quickly, millions of views.
He was half joking, but very quickly an obituary for the loop engineering.
That is primarily an aiming.
Event?
But I think the joke stuck because it pointed into something that was more real.
And to be very concrete of what's kind of happening or the naming letter that does have some substance around it, this is how we got here.
And this is, I think, what tells the story of the evolution of agents and AI over the last month or even one or two years.
So we were very obsessed at the beginning about what you say to the model.
That was point engineering, and we all uh learned how to speak effectively to the model.
Models.
Then we got obsessed about what the model knows.
That's the context engineering that we talked about extensively.
Then we started talking about where it runs and what tools it can touch.
And that became the conversation around harness engineering.
And this year we started talking more and more about how long the models and the agents can run on their own.
That's the loop engineering.
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