Multi Agent
topic on 3 shows · 5 statements across 5 episodes
the Y Combinator Startup Podcast 
Latent Space 
Lenny's Podcast
5 statements about Multi Agent, every show
Yan: Agent assertiveness and pushback enables true multi-agent systems
“But I think the thing that gives me the most bullishness that multi-agents might actually be possible is actually what I said earlier about Devon will actually sometimes tell me I'm wrong. And push back. And I think that demonstrates a level of maturity and co…”
Masad: The AI ecosystem will be driven by multiple specialized expert agents
“I think multiple agents. And the reason I think that's true is because let's, let's say I'm someone with true, unique, Domain expertise. Let's say I'm a lawyer who is top in the world at solving certain cases that, that are very rare. And so I have this domain…”
Rizwan: Background, parallel, and interactive AI agents will complement each other
“I think background agents are good for certain kinds of work and parallel Kanban. Multi agents might be good for when you want to experiment and iterate on, you know, five different versions of, you know, how a landing page might look and then something like a…”
Mohan: Parallel multi-agent coding trajectories do not require separate remote machines
“If you want to run all of them in parallel, you probably don't want any machines to go out and do it. I think that's unnecessary. Especially if most of them are I.O. Bound kind of operations where all you're doing is reading a little bit of data and writing ou…”
Schillace: Giving multi-agent AI systems shared whiteboard memory makes them smarter
“We were trying to get multiple versions of them working together, like multi-agents working together, and we gave them whiteboard Working memory, like as a shared working memory thing to fix this problem, and that turns out to make them much smarter.”