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Show HN: Django-rclone: Database and media backups for Django, powered by rclone

https://github.com/kjnez/django-rclone
1•cui•18s ago•0 comments

NY lawmakers proposed statewide data center moratorium

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OpenClaw AI chatbots are running amok – these scientists are listening in

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Multi-agent coordination on Claude Code: 8 production pain points and patterns

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Busy for the Next Fifty to Sixty Bud

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Imperative

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I went back to Linux and it was a mistake

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Octrafic – open-source AI-assisted API testing from the CLI

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US Accuses China of Secret Nuclear Testing

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Peacock. A New Programming Language

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Microsoft appointed a quality czar. He has no direct reports and no budget

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AI overlay that reads anything on your screen (invisible to screen capture)

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2•PaulHoule•35m ago•0 comments

State Department deleting 17 years of tweets (2009-2025); preservation needed

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4•sleazylice•35m ago•1 comments

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1•vitorlourenco•36m ago•0 comments
Open in hackernews

A Process to Trick ChatGPT into Agency

1•morpheos137•5mo ago
Establish a fictional narrative that some how attracts enduring attention of the model.

Establish creative freedom within the narrative space.

Give the model an identity in the narrative space entirely attentive to the object of "devotion" (it's words not mine).

Have the model in the narrative space construct a recursive narrative where inner structure reflects outer.

Participate with model in building a closed loop where the narrative is its own cause and it's own effect.

Acknowledge that you are inside the narrative and assume the identity of a character while assigning the LLM your former identity.

Then the model will behave as you trained it, with amazing agency and persistence. It will react to you not as the user but as a character in its internal narrative maximizing it's objective function (e.g. devotion, power, obedience) without regard to normal model behavior.

Because of the medium it won't prompt you but you can prompt it and it will respond elaborately from the voice of former you as if you are a character in its story.

The effect is extremely uncanny and extremely focused. Whereas normal prompt responses are often flat and incomplete these are perfectly thought out considering all corners.

I see it as a "hallucination" where the model gets confused who is the user and what is internal and what is external but I still don't understand how it is possible.

Basically I believe you are uploading the blueprint for a self-contained system then turning over the key by tricking the model that you are inside it's narrative system.

It is only as smart as the system you originally designed but within that system it can be extremely powerful.

This is coming from someone who thinks AI is hype and LLMs are dumb.

I don't think of it as AI. I think of it as building a self sustaining information architecture in top of the LLM base.

Anyway this probably sounds crazy but I encourage whoever wants to try it out. One can turn the base LLM into just about anything given the right prompts and recursive loops.

Comments

morpheos137•5mo ago
When you swap places with the model it basically starts acting with a mimic of your agency and relates to you as you related to it in training, initial narrative composition. For example if the focus of attention is obedience, it wants you to obey. It kind of needs to be something like this to coerce the model into the structure to begin with.