SeekamiAndrej Karpathy @karpathy
Andrej Karpathy ranks #3 in the public Seekami AI Influence Top 100 and is classified as AI industry.
Who is Andrej Karpathy?
Andrej Karpathy’s career connects research, engineering and education. During his Stanford PhD he worked on vision and language and designed and taught the early CS231n course. He became a founding member of OpenAI and led Tesla’s Autopilot vision team from 2017 to 2022. His website also documents a return to OpenAI in 2023–2024 and subsequent educational work for technical and general audiences.
Notable work and what to look for
His public projects turn abstract terminology into implementation details. micrograd illustrates a small automatic-differentiation engine, while Zero to Hero provides a step-by-step route into neural networks. Developer-tool teams can study how code and incremental explanations make a difficult concept approachable instead of merely copying a popular headline.
Interviews, work and further reading
These reading paths include interviews, first-person writing, institutional biographies and original research. Not every item is an interview.
- Personal biography, projects and teaching ↗
Use the biography to navigate to teaching and code; choose the technical or general-audience track first.
karpathy.ai - Lex Fridman Podcast #333 · 2022 ↗
The interview adds engineering context around Tesla AI, autonomous driving and AGI beyond the classroom material.
lexfridman.com
Explore related work
Seekami public ranking snapshot
Public research summary
| Field | Result |
|---|---|
| Rank band | Top 10 |
| Public category | AI industry |
| Useful signal | Broad AI industry signals |
Peer position and reproducible findings
| Comparison | Result |
|---|---|
| Position in the public Top 100 | #3 of 100 |
| AI industry category position | #3 of 35 |
| Composite vs category average | +8.31 points (category average 89.72) |
| Strongest signal this release | Authority · 100.00 |
These findings describe relative position within the published snapshot. They support screening and verification, not inference about private attributes or future campaign results.
How to interpret the scores
The composite combines normalized public signals. Authority describes position in the public AI relationship network; public reach reflects observable scale; recent engagement reflects available activity signals in this release. Scores support relative comparison and are not ratings of truth, personal ability or campaign performance.
Creators nearby in the ranking
Source and limitations
This page uses the formal Seekami ranking snapshot. Profiles and public signals change, and rank is not a third-party endorsement. Read the methodology and data boundaries.