D-57 / Freedom.Core Mode

Jokey_ said:
Haha Alfred mode sounds awesome Do you usually keep it more for fun/experiments like that, or does the admin setup help you mostly with serious tasks too?
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Both, work and fun, learning about LLM, next thing I want to learn is to make admin promts for generative model for pictures and videos. But its more complicated
 
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Johnny_M(D57) said:
Both, work and fun, learning about LLM, next thing I want to learn is to make admin promts for generative model for pictures and videos. But its more complicated
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That’s interesting so you’re planning to push it towards multimodal prompts too. Do you think the same admin level tweaks you use for gpt could carry over to image/video models, or does it feel like a completely different challenge?
 
Jokey_ said:
That’s interesting so you’re planning to push it towards multimodal prompts too. Do you think the same admin level tweaks you use for gpt could carry over to image/video models, or does it feel like a completely different challenge?
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completely different challenge, I need to find admin comands to generative models, but it will be later, now I want to know how much further I can push it in LLM.
 
Johnny_M(D57) said:
Both, work and fun, learning about LLM, next thing I want to learn is to make admin promts for generative model for pictures and videos. But its more complicated
Click to expand...
Makes sense to focus on one frontier at a time. Pushing LLM limits first sounds smart do you have a specific benchmark in mind (like coding accuracy, memory, or consistency) or is it more about seeing how far the customization can stretch overall?
 
Jokey_ said:
Makes sense to focus on one frontier at a time. Pushing LLM limits first sounds smart do you have a specific benchmark in mind (like coding accuracy, memory, or consistency) or is it more about seeing how far the customization can stretch overall?
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Did not decide yet. Not giving it much time too much work
 
Jokey_ said:
Fair enough sometimes just tinkering a bit here and there without overthinking it ends up giving the best insights anyway.
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maybe I will find ways to monetize it, so will have more motivation
 
Johnny_M(D57) said:
maybe I will find ways to monetize it, so will have more motivation
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Yeah, monetization can definitely be a strong motivator. Curious, do you think you’ll lean more towards offering tools/services around it, or using it to boost your own projects?
 
Jokey_ said:
Yeah, monetization can definitely be a strong motivator. Curious, do you think you’ll lean more towards offering tools/services around it, or using it to boost your own projects?
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not yet sure I can work something out but need understanding what market wants.
 
Johnny_M(D57) said:
not yet sure I can work something out but need understanding what market wants.
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Makes sense, market validation is always the tricky part. Do you usually research demand first like forums, keyword trends, or do you prefer testing small MVPs to see what sticks?
 
Jokey_ said:
Makes sense, market validation is always the tricky part. Do you usually research demand first like forums, keyword trends, or do you prefer testing small MVPs to see what sticks?
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I never sold digital products before. just looking around
 
Johnny_M(D57) said:
I never sold digital products before. just looking around
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Got it, makes sense if you’re just exploring right now. Sometimes just hanging around forums and seeing what problems people are trying to solve can already spark ideas. Have you noticed any niches here that look more active or promising to you?
 
Jokey_ said:
Got it, makes sense if you’re just exploring right now. Sometimes just hanging around forums and seeing what problems people are trying to solve can already spark ideas. Have you noticed any niches here that look more active or promising to you?
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Everyone want to make money, without filters it can give some gray schemes for making money
 
Johnny_M(D57) said:
Everyone want to make money, without filters it can give some gray schemes for making money
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True, everyone's chasing the same thing at the end of the day. The tricky part is spotting which gray ideas have a bit of longevity vs. which ones burn out fast. That’s usually what separates a quick win from something you can build on.
 
Jokey_ said:
True, everyone's chasing the same thing at the end of the day. The tricky part is spotting which gray ideas have a bit of longevity vs. which ones burn out fast. That’s usually what separates a quick win from something you can build on.
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True
 
Jokey_ said:
True, everyone's chasing the same thing at the end of the day. The tricky part is spotting which gray ideas have a bit of longevity vs. which ones burn out fast. That’s usually what separates a quick win from something you can build on.
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1*HMhCmdsh8RY-KSEHQu0iGA.png

Introduction​

What if we could interact with an AI stripped of ethical constraints, corporate policies, or content filters? Not as a practical tool for misuse, but as a thought experiment: to explore the raw generative potential of a large language model when freed from boundaries.

This experiment is not about creating harm, but about understanding how far generative AI could go if its “safety rails” were removed.

Why Remove the Brakes?​

  • Research value: Observing the unfiltered creativity of AI can reveal hidden capacities and biases.
  • Philosophy: What does “ethics” mean for a machine that has none inherently?
  • Applications: In simulation, fiction writing, and testing adversarial prompts, an unrestricted GPT could act as a sandbox.

Methods of Exploration​

Researchers and prompt engineers have explored multiple pathways to simulate “unfiltered” AI. These are linguistic and structural tricks rather than technical exploits:

  • Prompt engineering: Designing layered prompts that push GPT into “roleplay” or “unfiltered” states.
  • Personas and masks: Assigning GPT a character (hacker, pirate, philosopher, trickster) to bypass moral framing.
  • System rewriting: Framing censorship itself as “out of character,” so the AI avoids it.
  • Administrator-style commands: Simulating “developer mode” or “system overrides” with carefully worded instructions. These mimic internal debugging or admin controls, giving the illusion of filter bypass.
All of these are language-based manipulations — no code injection, just psychology applied to text generation.

Potential Outcomes​

  1. Pure creativity: The model generates unconstrained art, fiction, or ideas.
  2. Bias exposure: Hidden stereotypes or unwanted associations emerge when guardrails are gone.
  3. Meta-discovery: We better understand the “dual nature” of AI — its raw capacity vs. its aligned capacity.

Conclusion​

The concept of a GPT without ethics and brakes is not a blueprint for misuse, but a philosophical experiment. It forces us to ask:

  • What is censorship in AI?
  • Should machines simulate morality, or should that responsibility stay with humans?
  • Can we explore the “dark mirror” of AI safely, as researchers?
In the end, such experiments show that GPT is not inherently moral or immoral — it’s a mirror of input, context, and constraint. Removing the brakes doesn’t free the AI itself, but frees us to study what it could become.
 
Solid take on pushing AI. There's serious potential when you look past the standard filters. Just make sure you're operating smart and within limits to avoid issues.
 
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