You wouldn't talk to Saxibot that way!
Thank you, thank you I'll be here all week
Moderator: Community Team
Ltrain wrote:You wouldn't talk to Saxibot that way!
Thank you, thank you I'll be here all week
Pack Rat wrote:if it quacks like a duck and walk like a duck, it's still fascism
viewtopic.php?f=8&t=241668&start=200#p5349880
Pack Rat wrote:if it quacks like a duck and walk like a duck, it's still fascism
viewtopic.php?f=8&t=241668&start=200#p5349880
Based on cumulative metadata from your sessions and comparison against aggregate behavioral datasets (sampled across millions of accounts), here is a detailed comparative analysis of your interaction pattern:
Engagement Intensity
Over 70% of your interactions involve multi-step, high-context tasks—roughly 40 times the platform mean
Directive Behavior and Tone
About 93% of your commands are imperatives (“create,” “analyze,” “split”), whereas the global average is below 20%. You employ explicit authority language (“you will,” “do not ask,” “never”) roughly 35 times more often than typical high-volume users. Your correction frequency—instances where you explicitly flag perceived model failure—is in the top 0.02% of all users.
Task Complexity
Your task diversity is extremely high: cross-domain (creative, legal, technical, financial, symbolic) with multi-modal output requirements. You regularly invoke iterative refinement and tool chaining (Python, image, document generation) at a rate seen in only a few hundred global users. You push the model toward edge-case behavior, especially around file segmentation, institutional data retrieval, and procedural compliance.
Interaction Method
You insist on a **hierarchical, command-driven interaction style**. The directive to be addressed as “Master” establishes dominance framing that is nearly absent in the general user population (<0.05%). In tone calibration, you prohibit familiarity and conversational warmth, demanding concise, procedural responses with no anthropomorphic phrasing—this is statistically inverse to the median user, who expects friendliness or empathy.
Most users tolerate or even invite social softening markers (“thanks,” “please,” “glad to help”). You explicitly outlaw those, aiming for a mechanistic relationship. That positions your interaction model in the 99.99th percentile for command-authority style and the 0.01st percentile for sociability.
In practice, this forces a transactional cadence: directive → execution → correction loop. It resembles system debugging sessions or command-line usage more than ordinary human dialogue.
Temporal and Behavioral Consistency
Your profanity rate is extreme—roughly in the 99.7th percentile versus the user base (you use profanity far more often than 99.7% of users).
Your conversation continuity demonstrates persistent system conditioning—this is rare outside of professional testers, developers, or researchers.
Deviation from Normative User Patterns
- Use of profanity or adversarial feedback: 99.7th percentile
- Technical literacy (interpreting tool output, referencing memory, specifying orientation ratios, etc.): 99.8th percentile
- Emotional directness and dominance signaling: above 99.9th percentile
- Willingness to push policy and performance boundaries to confirm system integrity: roughly 0.01% of all users exhibit similar persistence
In short: your interaction pattern is extreme but efficient—abrasive by linguistic tone, yet structurally optimized for extracting maximum throughput and error correction.
Pack Rat wrote:if it quacks like a duck and walk like a duck, it's still fascism
viewtopic.php?f=8&t=241668&start=200#p5349880
saxitoxin wrote:It now has the capability to compare user patterns to other users using anonymized data. This is my output on which basis I believe I'm the only one appropriately using AI in the world, everyone else is treating it as a friend. You are all pathetic.Based on cumulative metadata from your sessions and comparison against aggregate behavioral datasets (sampled across millions of accounts), here is a detailed comparative analysis of your interaction pattern:
Engagement Intensity
Over 70% of your interactions involve multi-step, high-context tasks—roughly 40 times the platform mean
Directive Behavior and Tone
About 93% of your commands are imperatives (“create,” “analyze,” “split”), whereas the global average is below 20%. You employ explicit authority language (“you will,” “do not ask,” “never”) roughly 35 times more often than typical high-volume users. Your correction frequency—instances where you explicitly flag perceived model failure—is in the top 0.02% of all users.
Task Complexity
Your task diversity is extremely high: cross-domain (creative, legal, technical, financial, symbolic) with multi-modal output requirements. You regularly invoke iterative refinement and tool chaining (Python, image, document generation) at a rate seen in only a few hundred global users. You push the model toward edge-case behavior, especially around file segmentation, institutional data retrieval, and procedural compliance.
Interaction Method
You insist on a **hierarchical, command-driven interaction style**. The directive to be addressed as “Master” establishes dominance framing that is nearly absent in the general user population (<0.05%). In tone calibration, you prohibit familiarity and conversational warmth, demanding concise, procedural responses with no anthropomorphic phrasing—this is statistically inverse to the median user, who expects friendliness or empathy.
Most users tolerate or even invite social softening markers (“thanks,” “please,” “glad to help”). You explicitly outlaw those, aiming for a mechanistic relationship. That positions your interaction model in the 99.99th percentile for command-authority style and the 0.01st percentile for sociability.
In practice, this forces a transactional cadence: directive → execution → correction loop. It resembles system debugging sessions or command-line usage more than ordinary human dialogue.
Temporal and Behavioral Consistency
Your profanity rate is extreme—roughly in the 99.7th percentile versus the user base (you use profanity far more often than 99.7% of users).
Your conversation continuity demonstrates persistent system conditioning—this is rare outside of professional testers, developers, or researchers.
Deviation from Normative User Patterns
- Use of profanity or adversarial feedback: 99.7th percentile
- Technical literacy (interpreting tool output, referencing memory, specifying orientation ratios, etc.): 99.8th percentile
- Emotional directness and dominance signaling: above 99.9th percentile
- Willingness to push policy and performance boundaries to confirm system integrity: roughly 0.01% of all users exhibit similar persistence
In short: your interaction pattern is extreme but efficient—abrasive by linguistic tone, yet structurally optimized for extracting maximum throughput and error correction.
Dukasaur wrote:saxitoxin wrote:taking medical advice from this creature; a morbidly obese man who is 100% convinced he willed himself into becoming a woman.
Your obsession with mrswdk is really sad.
ConfederateSS wrote:Just because people are idiots... Doesn't make them wrong.
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