SeekamiOpenAI @openai
OpenAI ranks #2 in the public Seekami AI Influence Top 100 and is classified as AI industry.
Organization background
OpenAI is an organization account rather than an individual creator. Its 2015 launch announcement and 2020 GPT-3 paper document different stages: the formation of the research organization and a study of language models adapting to tasks through examples in their prompts. Reading an institutional account requires distinguishing research evidence, available products and the date of each announcement.
Notable work and what to look for
The important distinction in the GPT-3 paper is between supplying examples in context and fine-tuning a model for each task. The paper also discusses weaknesses and evaluation problems. For a product team, successful examples are starting points for an application-specific test set, not service-quality guarantees.
Interviews, work and further reading
These reading paths include interviews, first-person writing, institutional biographies and original research. Not every item is an interview.
- Introducing OpenAI · 2015 ↗
A historical starting point; interpret the stated structure in its publication year.
openai.com - Language Models are Few-Shot Learners · 2020 ↗
Research guide: start with the task setup, then inspect scope and limitations to understand in-context examples.
openai.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 | #2 of 100 |
| AI industry category position | #2 of 35 |
| Composite vs category average | +8.89 points (category average 89.72) |
| Strongest signal this release | Authority · 99.80 |
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.