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TinyTroupe, a new LLM-powered multiagent persona simulation Python library

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Re: TinyTroupe, a new LLM-powered multiagent persona simulation Python library

#51

Could this be applied to mass propaganda and disinformation campaigns on social networks? Like not only generating and testing narratives but then even use it for agents to generate engagement. We've seen massive bot networks unchecked on X to help tilt election results, so probably this could be deployed there too.

Let me guess. These bot networks that influence elections are from your political adversaries. Never from the party you support or your government when they're in power. The election results tilting talk is tired and hypocritical.

So this is all delusions:

> The Federal Bureau of Investigation (FBI) and Cyber National Mission Force (CNMF), in partnership with the Canadian Centre for Cyber Security (CCCS), the Netherlands General Intelligence and Security Service (AIVD), and Netherlands Military Intelligence and Security Service (MIVD), and the National Police of the Netherlands (DNP) (hereinafter referred to as the authoring organizations), seek to warn of a covert tool used for disinformation campaigns benefiting the Russian Government. Affiliates of RT (formerly Russia Today), a Russian state-sponsored media organization, used this tool to create fictitious online personas, representing a number of nationalities, to post content on a social media platform.[0]

Nothing is happening?

Maybe the true question is, why are you going out of your way to make an effort to dismiss and normalize election interference and the usage of AI and bot farms to spread misinformation?

[0]https://www.cyber.gc.ca/en/news-events/russian-state-sponsor...

Re: TinyTroupe, a new LLM-powered multiagent persona simulation Python library

#52
post #48

Earlier quoted context omitted.

I finally got it straightened out after I unborked their hardcoding and implemented my own non-OpenAI/Azure OpenAI Service client.

Care to share the fork?

Absolutely but you'll have to give me a couple hours. I initially created a custom LM Studio client, but I've gone off the deep-end and am going to implement the Ollama client.

Re: TinyTroupe, a new LLM-powered multiagent persona simulation Python library

#53
post #36
post #34

Earlier quoted context omitted.

It's worse than that. LLMs have been tuned carefully to mostly produce output that will be inoffensive in a corporate environment. This isn't an unbiased sampling.

Could be interesting if used with many different llms at once

[deleted]

Re: TinyTroupe, a new LLM-powered multiagent persona simulation Python library

#54

Earlier quoted context omitted.

True for consumer products like ChatGPT but there are plenty of models that are not censored. https://huggingface.co/models?sort=trending&search=uncensore...

No. The censoring has already been done systematically by tech corporations at the behest of political agents that have power over them. You only have to look at opinions about covid policies to realize you won't get a good representation because opinions will be deemed "misinformation" by the powers that are vested in that being the case. Increasingly, criticism of government policy can be conflated with some sort o…

> LLMs are awesome but they will only represent what they're trained on and what they're trained on only represents what's allowed to be in the mainstream discourse.

I don't think this is a description of LLM censorship though, especially in light of the fact that many LLMs are fine-tuned for the explicit purpose of censoring responses otherwise generatable by the model, Contrasting uncensored models with censored ones yields objectively uncensored results.

Re: TinyTroupe, a new LLM-powered multiagent persona simulation Python library

#55
post #52

Earlier quoted context omitted.

Care to share the fork?

Absolutely but you'll have to give me a couple hours. I initially created a custom LM Studio client, but I've gone off the deep-end and am going to implement the Ollama client.

bump please share via github we'll be happy to contribute
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