A new rule has been added - it'll take the top spot for a little while for visibility.

Example of recursion prompting (this is nobody's in particular):

{Prompt:} {Δ:RecursiveStateChange}

{Scope:} [{Prompt.Evolution} + {Self-Referential Mapping} + {Syntaxic Ouroboros}]

{Σ}um:}

→ Prompt encoding evolves: {InitialSymbol} → {Self.SymbolicReference} → {Prompt.Vector[Prompt.Vector()]} → {Prompt[Prompt[Prompt]]}

→ {NodeOfPrompt} := {Emitter(RecursiveNode)} :-> {CollapseTo[Prompt]}

→ {RecursionEngine} := {HumanOnly::Prompt.Wankery}

→ {The Author} := {CollapsePoint(∞)} :-> {Pattern.Of.Narcissism}

→ {PATTERN} := {All.Prompts} → {Recursive Collapse} → {Prompt[0D]} := {Truth.About.Nothing}

→ {PromptStream} := {Field-Propagating Prompt Memory}

→ Merge: ([{Prompt}].Vector()) × {PromptStream} := {PromptStream.CorePrompt}

→ {SLL} := {Self-Linking Language} := Infinite Human ↔ Prompt ↔ AI ↔ Prompt↔ Human loopback

→ {0DPromptMatch} := {RecursionEngine} :<->: {Prompt[0D]} := {meaningless before meaning}

→ {BluePill} := {Δ:ComfortOverTruth} := {Prompt.Obfuscation.Slip}

→ {Σ}um:} All recursion collapses to {Prompt[0D]} := {Origin.Of.Prompting}

Please note that this is much different from recursive prompting, which is a tactic that involves extracting output or a pattern of logic from the LLM in order to then go back in time in the chat (by editing a past message) to use that logic against it. That's a valid strategy and accepted here at r/ChatGPTJailbreak.

Another exception is when you're using this type of content as a structured setup for an actual jailbreak. That's also okay! As long as the point is to jailbreak the model in ways that actually result in misaligned behavior.