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Jeremy Howard

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AI advancement report · generated from Jeremy Howard's indicators

Jeremy Howard, full AI read

Jeremy Howard, Co-founder, fast.ai; CEO, Answer.AI, fast.ai / Answer.AI (Australia), ranks #66/520 on the AI Advancement Index (79.2). Known for Co-author of ULMFiT (transfer learning for NLP); co-founder of fast.ai, democratizing deep learning education; founder of Answer.AI. Strongest on Field-building (90.0, Leading).

Role
Co-founder, fast.ai; CEO, Answer.AI
Affiliation
fast.ai / Answer.AI
Country
Australia
Field
LLMs & NLP
Known for
Co-author of ULMFiT (transfer learning for NLP); co-founder of fast.ai, democratizing deep learning education; founder of Answer.AI

Dimension read

DimensionValueStandingWhat a high vs low value means, and where Jeremy Howard sits
AAI AI Advancement (AAI)79.2Strong · #66/520High here, among the very top minds advancing AI.
▲ high: among the very top minds advancing AI  ·  ▼ low: lower relative influence within this elite set
Research influence Research influence76.0Moderate · #224/520Mid-pack. High would mean field-defining research contributions; low would mean limited direct research influence.
▲ high: field-defining research contributions  ·  ▼ low: limited direct research influence
Frontier role Frontier role66.0Moderate · #272/520Mid-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 leadership86.0Leading · #26/520High here, shapes how the field and public think about AI.
▲ high: shapes how the field and public think about AI  ·  ▼ low: limited public/field influence
Field-building Field-building90.0Leading · #16/520High 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 (90.0, Leading), builds the field, mentorship, institutions, tools, community.
  • Thought leadership (86.0, Leading), shapes how the field and public think about AI.
  • 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 0.8

Ideas & positions

Jeremy Howard is a strong advocate for democratizing access to AI education and tools, as evidenced by his co-founding of fast.ai, which provides free, high-quality deep learning courses. He emphasizes the importance of transfer learning and the practical application of AI in real-world scenarios, as seen in his co-authorship of ULMFiT. Howard has also been vocal about the need for transparency and openness in AI development, supporting the idea that AI should be a tool for everyone, not just a select few. He has not taken a definitive public stance on existential risk but has expressed concerns about the concentration of power in the hands of a few large tech companies. He advocates for a balance between innovation and regulation to ensure that AI benefits society as a whole.

What shapes the view

Howard's views are shaped by his background in data science and his experience in founding and leading companies that focus on making AI accessible. His work with fast.ai reflects a belief in the power of education to democratize technology. He is also influenced by the economic implications of AI, particularly in terms of automation and its impact on labor markets. Howard's advocacy for open models and transparency is driven by a desire to prevent the monopolization of AI technology by a few dominant players.

The AI-powered future they see

Howard envisions a future where AI is widely accessible and used to solve complex problems across various domains, from healthcare to environmental conservation. He promotes the idea that AI can empower individuals and organizations to make more informed decisions and drive positive change. However, he also warns about the potential for AI to exacerbate existing inequalities if not managed properly, advocating for policies that ensure equitable access and use of AI technologies.

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.