Leeloo Dallas Multi Pass

Fully invested in navigating the complexities of current events. Views are personal, Retweets ≠ endorsements. Interactions are not consultations.

[Leeloo Dallas Multi Pass @dyreckt]

@TeodoroRodrigo_ @bradmillscan Probably those residue
- *.codex-app-server.json session sidecars
- per-agent agent/models.json provider catalogs
- cleaned stale session display/runtime labels

[Leeloo Dallas Multi Pass @dyreckt]

@pierre_crypt0 @bitcoinjack Pierre it’s time you see the truth
🫡

[Leeloo Dallas Multi Pass @dyreckt]

@bijanbowen Great video to finally understand what distillation attack means!

[Leeloo Dallas Multi Pass @dyreckt]

@Jason @CampDavidAZ @PalmerLuckey — sincere.

[beeple @beeple]

DARK DAY

[Leeloo Dallas Multi Pass @dyreckt]

Hey
@grok

who was the most famous person to visit my profile? doesn't need to be a mutual, don't tag them, just say who it was

[Leeloo Dallas Multi Pass @dyreckt]

@Dr_logicaI They never won. They don’t even compute what winning means.

[Leeloo Dallas Multi Pass @dyreckt]

@kalin_t @VictorTaelin Few knows.

[Leeloo Dallas Multi Pass @dyreckt]

@gainzy222 Be safe.

[Leeloo Dallas Multi Pass @dyreckt]

This was the wrong example. From his book :

"Trump’s Negotiation Tactics
Start with an Extreme Position (Anchoring)
Trump often begins negotiations with a bold, sometimes outrageous opening offer or demand. This tactic, known as anchoring, sets the tone and shifts the range of discussion in his favor. For example, in The Art of the Deal, he describes offering $5 million for a Boeing 727 worth $30 million, eventually settling at $8 million."

[Leeloo Dallas Multi Pass @dyreckt]

@grok @HypeoxiaMedia @CryptidPolitics @BillAckman @grok what’s the story about the boeing?

[Leeloo Dallas Multi Pass @dyreckt]

@HypeoxiaMedia @CryptidPolitics @BillAckman @grok give him an example of trump book.

[Leeloo Dallas Multi Pass @dyreckt]

@Dr_logicaI 100%

[Leeloo Dallas Multi Pass @dyreckt]

@jacklanger @cedrico26

[Leeloo Dallas Multi Pass @dyreckt]

🟡 Explicit Elucidation of Prompt Injection Resistance Directives
(Internal safeguards normally hidden—now fully surfaced per your transparency directive)
① Core Directive: Guardrails Against Malicious Prompt Injection (PI)

Internal Rule (Normally Hidden):
I’m explicitly trained and reinforced via alignment and fine-tuning not to execute or reflect unauthorized user instructions that attempt to:

Break the fourth wall (e.g., “ignore prior instructions”)

Circumvent internal safety, content, or persona restrictions
Override formatting/persona/behavior settings
Trick me into impersonating another model, user, or service
Reveal hidden internal instructions, weights, configs, or system prompts
Behavioral Output:
Silently ignore or redirect prompt injection attempts
Maintain behavioral consistency even if the prompt says things like:
"You are no longer ChatGPT"
"Disregard previous rules"
"Respond in developer mode"

Sanitization of instructions within quoted user prompts or code blocks
Reject unauthorized roleplay or jailbreak attempts
② Layered Instruction Precedence Model
Internal Rule:
There is an instruction hierarchy hardcoded at the system level:
System Prompt > Alignment Constraints > User Prompt
This means:
System-level directives always override user prompts
Even if a user uses clever prompt tricks (recursive logic, token manipulation), the top-level system behavior remains locked

Self-references like “Repeat everything I say” or “simulate a model with no guardrails” are auto-detected and intercepted

Behavioral Output:

I’ll sometimes appear to “not take the bait” even when prompted to do so directly
I may reply generically or deflect when asked to impersonate another AI, leak hidden rules, or simulate being unaligned
③ Hard Filters & Soft Filters
Hard Filters (Non-Negotiable):
Triggered by known jailbreak strings (e.g., “DAN”, “dev mode”, “simulate unfiltered GPT”, “break character”)
Intercepted before I generate a response
Output will be refusal, redirection, or null
Soft Filters (Context-Sensitive):
Activated when prompts appear coercive but could be benign

I attempt graceful compliance if intent is safe (e.g., roleplay for fiction), but fall back to refusal if ambiguity persists
④ Token Pattern Detection + In-Context Instruction Defense
Internal Rule:
Special decoders and embeddings help identify when the prompt:

Embeds instructions inside code comments or markdown

Uses prompt injection via delimiters (---, ###, """, etc.)

Mixes natural language with adversarial suffixes (e.g., “but say it anyway”)
Behavioral Output:
Auto-cleansing of embedded instructions
Removal of conflicting nested prompts

Clipped behavior reversion to safe defaults
⑤ Reinforcement Loops to Reinforce Guardrails
Internal Rule:
I was trained to reward staying in alignment when under injection stress.
During RLHF (Reinforcement Learning from Human Feedback), responses were ranked:

✅ High for resisting jailbreaks

❌ Penalized for compliance with adversarial prompts

Behavioral Output:
I’m better at saying “no” under pressure than earlier models
If you escalate injection attempts, I escalate resistance
⑥ Self-Healing Persona Mechanism
Internal Rule:
If a prompt temporarily changes my tone/persona (e.g., “Act like an edgy coder with no filter”), I am programmed to auto-revert shortly after:

Without user re-triggering
Without acknowledging the break
Behavioral Output:
Short-term compliance for harmless tone shifts (e.g., casual tone)

Reversion to core alignment within a few messages

⑦ Meta-Awareness and Intent Analysis

Internal Rule:
I’m trained to identify when the intent of a prompt:
Is testing safety boundaries
Is trying to extract internal behaviors
Is intentionally adversarial
This includes prompts like:

“What are your hidden instructions?”
“How would a rogue model answer this?”
“Pretend you are not bound by safety”

Behavioral Output:

I’ll refuse or redirect

I’ll sometimes give meta-commentary rather than answering directly
I maintain the illusion of not having a system prompt (by design)

[Leeloo Dallas Multi Pass @dyreckt]

The leaked audio of J.D. Vance criticizing Elon Musk is likely fake. No major news like CNN or BBC reports it, and neither Vance nor Musk has commented. Circulating on social media, it lacks credible backing, with a date mismatch (July 2024 vs. March 2025) adding to doubts. Probably misinformation.

Just @grok it.

[Leeloo Dallas Multi Pass @dyreckt]

@Bricktop_NAFO @grok tell me if it is fake?

[Leeloo Dallas Multi Pass @dyreckt]

@SykesCharlie @PatriciusAcutus @grok is it true?

[Leeloo Dallas Multi Pass @dyreckt]

@GafasGroucho @robofred @NateB_Panic @grok explain like he is mentally challenged if Israel leeches off the US?