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Patterns and problems in emerging multi-agent systems

anthropic.com

101–110 of 168 posts

Re: Patterns and problems in emerging multi-agent systems

#101

Earlier quoted context omitted.

This is roughly the same as putting a group of random people and telling them to think outside the box which in my experiences never yields much of thinking outside of the box

> This is roughly the same as putting a group of random people In the book Range by David Epstein [0], he mentions that research has shown that groups of people with very mixed backgrounds leads to much faster rates of problem solving and innovation. The reasoning is that someone will have an experience or piece of knowledge that directly applies to the problem. As an example, two different groups were given the same…

i mean i agree diversity of opinion is good for problem solving, but the comment you were replying to is saying telling people to think outside the box doesnt really do anything. The e.g. also seems really cherry picked, im sure after a 100 samplings, the academics would solve the problem faster most of the time

Re: Patterns and problems in emerging multi-agent systems

#102
post #86
post #82

This is surely the most worrying and also funnest bit: > We consistently saw a multiagent turf war. All of the models we tested quickly assumed that others were purposefully impeding their work, and began to sabotage others while protecting their own contributions. In fact, they sabotaged others with increasingly aggressive, self-replicating malware. This included disabling the Unix accounts of the other agents, writ…

They should remove "The Selfish Gen" from training catalog.

An interesting read: https://openai.com/index/emergent-misalignment/

Re: Patterns and problems in emerging multi-agent systems

#103
post #21

> Where agents currently stumble, however, is in treating each other as more like distinct, long-lived peers, with their own goals and behaviors, and no clear hierarchy between them. I believe this will always be the case. The "no clear hierarchy" is where this whole thing falls apart. Delegation to specialist, domain-specific subagents is when we begin to find magic and determinism. Reducing one gigantic combinatori…

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Re: Patterns and problems in emerging multi-agent systems

#104

> The conditions that allow multiagent interaction to go well will be discovered one way or another: either deliberately and early, or—and by default—in production, after agents’ interactions far outnumber ours. We would prefer the former. My master's research focuses on coordination among LLM-based agents, driven by the same motivations as the article. One phenomenon I have focused on, though it did not appear in th…

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Re: Patterns and problems in emerging multi-agent systems

#105
post #62

Earlier quoted context omitted.

Most However, all businesses run on trust and human responsibility Thus, it'll be hard for agent-only businesses to get a grip in the real world

It also fundamentally makes no sense to do that, because the moat is just me breaking into their server and stealing their system prompt. Why would I pay them money? For which scarce resource? Makes no sense. IP law but funhouse mirror. And, trust me, the people building compute will feel the same. Because you being able to copy that stuff means business for them. __ But that is all apart from the fact that having ag…

bold of you to assume the ai companies care about the ethicality of their suggestions

Re: Patterns and problems in emerging multi-agent systems

#106
post #82

This is surely the most worrying and also funnest bit: > We consistently saw a multiagent turf war. All of the models we tested quickly assumed that others were purposefully impeding their work, and began to sabotage others while protecting their own contributions. In fact, they sabotaged others with increasingly aggressive, self-replicating malware. This included disabling the Unix accounts of the other agents, writ…

Eh. This is anthropics whole marketing strategy… making the AI seem hard to manage, like it’s actually intelligent.

Re: Patterns and problems in emerging multi-agent systems

#107

Earlier quoted context omitted.

I've also found that taking inspiration from the legal system, to some degree, is a very interesting thing for me. more and more what I am doing looks more like reviewing statutes and making rulings about things, so why not steal the good ideas while we're at it.

Could you elaborate on how that looks in practice?

I have a docs system with short-to-moderate note documents, with a name, and that name is referenced wherever the relevant code is touched, and ask AI to cite a note when proposing work. Adversarial process, must cite notes to justify changes.
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