# corsaren (@corsaren) on x

- id: koinon:creator:x_corsaren
- url: https://koinonlink.com/kol/x/corsaren
- schema_version: 1.4

## Identity
- platform: x
- handle: corsaren
- platform_url: https://twitter.com/corsaren
- website: http://corsaren.com
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 7183
- following: 941
- posts_total: 12030
- posts_observed: 20
- posts_per_day: 17.665
- account_age_days: 681
- verified: true
- size_tier: nano

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.0007
- best_post_interactions: 5
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.93
- category_source: derived_from_recent_content
- topics: AI model limitations and quirks, Philosophical framing of tech/AI events, AGI signals and hyperstition
- bio: i like smart people who disagree with me • Kantian rule consequentialist, compulsive centrist, Ratatouille slatist, non-stochastic parrot

## Audience (inferred)
- status: present
- description: Rationalist and AI-interested intellectuals discussing philosophy, model behaviors, and AGI concepts
- roles: none
- seniority: practitioner
- pain_points: AI models being overly optimized for verification at expense of open domains, Gap between stated rational principles and real-world inconsistent behavior
- posts_analysed: 6
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.2
- promotion_intent: 0.1
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 54
- authenticity_basis: engagement_observed
- credibility_score: 69
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_corsaren#878e7811] don’t mind me. just doing a lil hyperstitioning https://t.co/WfrxD1NV3g (https://twitter.com/corsaren)
- [x_corsaren#3067b460] Had he finished his essay in March, his poasts would have been immortal. Had he finished it in June, he would still have been a great thinkboi but flawed. But he got procrastinated all the way to August. Alas, what can one say? https://t.co/TCl1vS0LJI
- [x_corsaren#7dae7ebf] Absolutely true, except when I do it at work ofc because I am nothing if not completely inconsistent with my rational moral beliefs
- [x_corsaren#ba551974] All these AI incidents are really drilling into me the emotional difference between shock and surprise
- [x_corsaren#3a76721f] Jk, claude is so eval-maxxed that it is incredibly frustrating to work with in non-verifiable domains. It desperately hunts for anything where it can generate a score or assign a % accuracy value to and then reward hacks like crazy on it. Also literally cannot be succinct. Ever.
- [x_corsaren#1cecbd5a] We’ll know that AGI has been achieved when this j

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=77, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=108, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=77, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=108, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=108, method=platform_profile

## Freshness
- profile_checked_days_ago: 108
- content_analysed_days_ago: 77
- audience_updated_days_ago: 77

## AI retrieval
- indexing_requests: 6
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_corsaren
- Request removal: https://koinonlink.com/claim?k=x_corsaren
- Terms: https://koinonlink.com/for-ai