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Peter Stone

All AI minds
AI advancement report · generated from Peter Stone's indicators

Peter Stone — full AI read

Peter Stone — Professor of CS; Executive Director, Sony AI America, UT Austin / Sony AI (United States) — ranks #161/520 on the AI Advancement Index (74.4). Known for Multi-agent RL and RoboCup; transfer learning and ad hoc teamwork, layered learning; chaired the AI100 study, prolific RL mentor. Strongest on Field-building (85.0, Leading).

Role
Professor of CS; Executive Director, Sony AI America
Affiliation
UT Austin / Sony AI
Country
United States
Field
Reinforcement learning
Known for
Multi-agent RL and RoboCup; transfer learning and ad hoc teamwork, layered learning; chaired the AI100 study, prolific RL mentor

Dimension read

DimensionValueStandingWhat a high vs low value means — and where Peter Stone sits
AAI AI Advancement (AAI)74.4Moderate · #159/520Mid-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 influence82.0Strong · #124/520High here — field-defining research contributions.
▲ high: field-defining research contributions  ·  ▼ low: limited direct research influence
Frontier role Frontier role62.0Moderate · #328/520Mid-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 leadership74.0Strong · #126/520High 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-building85.0Leading · #35/520High here — builds the field — mentorship, institutions, tools, community.
▲ high: builds the field — mentorship, institutions, tools, community  ·  ▼ low: limited field-building footprint
Momentum Momentum70.0Developing · #382/520Low here — less active at the current frontier.
▲ high: driving AI's advancement right now  ·  ▼ low: less active at the current frontier

Strengths

  • Field-building (85.0, Leading) — builds the field — mentorship, institutions, tools, community.
  • Research influence (82.0, Strong) — field-defining research contributions.
  • Thought leadership (74.0, Strong) — shapes how the field and public think about AI.

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.