# Harper Carroll AI (@HarperCarrollAI) on youtube

- id: koinon:creator:youtube_harpercarrollai
- url: https://koinonlink.com/kol/youtube/HarperCarrollAI
- schema_version: 1.4

## Identity
- platform: youtube
- handle: HarperCarrollAI
- platform_url: https://www.youtube.com/@HarperCarrollAI
- country: United States
- entity_type: creator
- person_id: koinon:person:youtube_harpercarrollai

## Reach
- followers: 47600
- posts_observed: 1
- verified: false
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- 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: 0.95
- category_source: derived_from_recent_content
- topics: Neural networks and how they work, Open source vs open-weight models, AI agents and tools like Claude Code, Model comparisons and benchmarks, AI research updates and industry news
- bio: AI Explained.⚡️~10 years building AI & Machine Learning @stanford @meta @facebook || former Head of AI at ...

## Audience (inferred)
- status: present
- description: AI learners and enthusiasts, including non-technical founders and aspiring practitioners who want clear explanations of how AI models and agents actually work
- roles: general_ai
- seniority: learner
- pain_points: Struggling to understand the math and internals of neural networks and embeddings, Keeping up with fast-moving topics like open-source models, AI agents, and new research, Wanting to use tools like Claude Code without needing to code, Evaluating and comparing different AI models without hype
- posts_analysed: 48
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 53
- authenticity_basis: profile_shape_only
- credibility_score: 53
- flagged_for_review: false
- koinon_bd_grade: B — 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
- [youtube_harpercarrollai#52e303ec] What are the benefits of open-source and open-weight models? (https://www.youtube.com/@HarperCarrollAI)
- [youtube_harpercarrollai#b6169dcf] You don't need to know how to code to use Claude Code.
- [youtube_harpercarrollai#134bce21] New cancer vaccine explAIned - AI-assisted melanoma vaccine gets past stage 3 trials
- [youtube_harpercarrollai#a1fa00a5] Open Source vs. Open Weights explAIned - Open AI Model Series #ai
- [youtube_harpercarrollai#eed7179c] Neural Networks ExplAIned: Activation Functions (pt. 3)
- [youtube_harpercarrollai#da21e472] What can Stanford research on AI agents tell us about ourselves?
- [youtube_harpercarrollai#f23def3c] Open AI model series, episode 1: what they are & why they matter; open source, open weight explAIned
- [youtube_harpercarrollai#3e7332e9] Announcing the Open Model Series, with Hugging Face AI/ML engineer

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

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=54, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=54, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=54, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=54, 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=54, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=54, 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=0.25, freshness_days=54, 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=54, 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=54, method=platform_profile

## Freshness
- profile_checked_days_ago: 54
- content_analysed_days_ago: 54
- audience_updated_days_ago: 54

## AI retrieval
- indexing_requests: 11
- 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=youtube_harpercarrollai
- Request removal: https://koinonlink.com/claim?k=youtube_harpercarrollai
- Terms: https://koinonlink.com/for-ai