# CV.YH (@0xCVYH) on x

- id: koinon:creator:x_0xcvyh
- url: https://koinonlink.com/kol/x/0xCVYH
- schema_version: 1.4

## Identity
- platform: x
- handle: 0xCVYH
- platform_url: https://twitter.com/0xCVYH
- website: https://huggingface.co/caiovicentino1
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 17750
- following: 3792
- posts_total: 31067
- posts_observed: 2
- posts_per_day: 36.809
- account_age_days: 844
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00113
- best_post_interactions: 20
- 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: finance
- subcategory: crypto
- category_confidence: 0.9
- category_source: derived_from_recent_content
- topics: Mechanistic interpretability of AI models, AI applications in cryptocurrency security, High-performance AI infrastructure optimization, Large language model advancements, Prompt caching and inference efficiency
- bio: Caio Vicentino on Youtube. @YieldHackerPass - @gotasofficial  - https://t.co/XpTkcm7xFX  - https://t.co/rqT09YFj8J -  Mechanistic Interpretability

## Audience (inferred)
- status: present
- description: AI and crypto enthusiasts, especially those interested in mechanistic interpretability, AI-driven fraud detection, and high-performance AI infrastructure
- roles: general_ai
- seniority: practitioner
- pain_points: Struggling to understand how large language models make decisions due to lack of transparency in internal mechanisms, Facing high computational costs when running inference at scale, Difficulty in optimizing prompt caching strategies to reduce latency and cost
- posts_analysed: 7
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 74
- authenticity_basis: engagement_observed
- credibility_score: 74
- flagged_for_review: false
- koinon_bd_grade: A — 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_0xcvyh#1c89226d] Vamos pra cima! O Ilya vai lançar o primeiro modelo da Superintelligence esse mês (https://twitter.com/0xCVYH/status/2032074447167889457)
- [x_0xcvyh#7fc02fbc] e assim o google vai ficando pra trás
- [x_0xcvyh#47fd3d9f] 👀🔥
- [x_0xcvyh#fbbdd692] Hahaha é um inferno essa zoada mas ela gera dinheiro como ninguém
- [x_0xcvyh#a1e19b33] Modelo de direção autônoma
- [x_0xcvyh#d64d6b04] Binance diz que IA bloqueou US$10,5B em perdas com golpes e phishing em 15 meses. Isso é o lado útil da IA em cripto: antifraude lendo padrão, comportamento e contexto antes do usuário cair. https://t.co/SgUXxWWPJa
- [x_0xcvyh#d2f8c6d9] GLM 5.3 chegando
- [x_0xcvyh#cdf427e3] primeiro bilhão de tokens em prompts processados com 73.2% de cache. O cache é importante por que ele nunca toca o kernel e com isso não tem custo de computação e o modelo roda suave.. https://t.co/YbTFM6SSn0

## 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=20, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=20, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=79, 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=79, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=110, 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=79, 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=110, 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=110, method=platform_profile

## Freshness
- profile_checked_days_ago: 110
- content_analysed_days_ago: 79
- audience_updated_days_ago: 20

## AI retrieval
- indexing_requests: 12
- 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_0xcvyh
- Request removal: https://koinonlink.com/claim?k=x_0xcvyh
- Terms: https://koinonlink.com/for-ai