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Overview / Rankings / AI Minds 500 / Hailey Schoelkopf

Hailey Schoelkopf

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AI advancement report · generated from Hailey Schoelkopf's indicators

Hailey Schoelkopf, full AI read

Hailey Schoelkopf, Research Scientist; lead of lm-evaluation-harness, EleutherAI (United States), ranks #271/520 on the AI Advancement Index (70.1). Known for Lead maintainer of EleutherAI's lm-evaluation-harness, the standard framework for benchmarking LLMs (basis of the Open LLM Leaderboard); contributor to Pythia and open LLM training. Strongest on Field-building (80.0, Strong).

Role
Research Scientist; lead of lm-evaluation-harness
Affiliation
EleutherAI
Country
United States
Field
Open-source & tools
Known for
Lead maintainer of EleutherAI's lm-evaluation-harness, the standard framework for benchmarking LLMs (basis of the Open LLM Leaderboard); contributor to Pythia and open LLM training

Dimension read

DimensionValueStandingWhat a high vs low value means, and where Hailey Schoelkopf sits
AAI AI Advancement (AAI)70.1Moderate · #271/520Mid-pack. High would mean among the very top minds advancing AI; low would mean lower relative influence within this elite set.
▲ high: among the very top minds advancing AI  ·  ▼ low: lower relative influence within this elite set
Research influence Research influence62.0Developing · #402/520Low here, limited direct research influence.
▲ high: field-defining research contributions  ·  ▼ low: limited direct research influence
Frontier role Frontier role68.0Moderate · #255/520Mid-pack. High would mean central to building today's frontier AI; low would mean removed from frontier development.
▲ high: central to building today's frontier AI  ·  ▼ low: removed from frontier development
Thought leadership Thought leadership62.0Moderate · #315/520Mid-pack. High would mean shapes how the field and public think about AI; low would mean limited public/field influence.
▲ high: shapes how the field and public think about AI  ·  ▼ low: limited public/field influence
Field-building Field-building80.0Strong · #92/520High here, builds the field, mentorship, institutions, tools, community.
▲ high: builds the field, mentorship, institutions, tools, community  ·  ▼ low: limited field-building footprint
Momentum Momentum82.0Strong · #147/520High here, driving AI's advancement right now.
▲ high: driving AI's advancement right now  ·  ▼ low: less active at the current frontier

Strengths

  • Field-building (80.0, Strong), builds the field, mentorship, institutions, tools, community.
  • Momentum (82.0, Strong), driving AI's advancement right now.

Risk factors

  • A significant, well-rounded contributor to AI's advancement.
These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure, not intelligence. No causality or certainty is claimed.

AI worldview

Optimisticconfidence 0.7

Ideas & positions

Hailey Schoelkopf is a strong advocate for open-source AI research and development, particularly in the context of large language models (LLMs). She leads the lm-evaluation-harness project, which provides a standardized framework for benchmarking LLMs, contributing significantly to the transparency and reproducibility of AI research. Schoelkopf has not publicly taken a definitive stance on existential risk but emphasizes the importance of open access to AI models and tools to foster innovation and democratize AI technology. Her work with EleutherAI and contributions to projects like Pythia highlight her commitment to making AI more accessible and collaborative.

What shapes the view

Schoelkopf's views are shaped by her background in research and her experience with EleutherAI, an organization dedicated to open-source AI. Her focus on open-source tools and frameworks suggests a belief in the power of community-driven development to advance AI technology. This aligns with a broader perspective that emphasizes the importance of collaboration and transparency in AI research to ensure that the benefits of AI are widely distributed.

The AI-powered future they see

Schoelkopf predicts a future where open-source AI models and tools play a central role in advancing the field. She promotes the idea that by making AI more accessible, researchers and developers can collectively address challenges and improve the reliability and fairness of AI systems. Her work suggests a vision of a more inclusive and collaborative AI ecosystem, where the benefits of AI are not limited to a few large corporations.

DystopianContingentUtopian
An AI-generated synthesis of the public record (statements, essays, interviews, papers), not statements by the person; positions evolve and the model's knowledge has a cutoff.