2025 WelcometotheEraofExperience
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- (Silver & Sutton, 2025) ⇒ David Silver, and Richard S. Sutton. (2025). “Welcome to the Era of Experience.”
Subject Headings:
Notes
- It presents a historical framework of AI learning paradigms, tracing evolution from AI simulation era through human data era to the emerging AI experience era.
- It analyzes fundamental limitations of human-data-based AI systems by explaining the inherent knowledge ceilings that prevent exceeding human knowledge frontiers.
- It distinguishes between episodic interaction and continuous learning streams, highlighting how persistent learning enables long-term goal achievement beyond discrete interactions.
- It describes environmental grounding approaches where AI actions and AI observations directly connect with real-world systems rather than relying solely on text-based interfaces.
- It explores reward mechanism design for experiential AI, emphasizing real-world signals over human preferences through bi-level optimization strategies.
- It explains how world model development allows experiential AI systems to predict action consequences and improve AI planning capabilitys.
- It demonstrates knowledge self-discovery principles using case studys like AlphaZero and AlphaProof that discovered novel strategyies beyond human knowledge.
- It articulates temporal reasoning advantages for AI systems operating in continuous streams versus those limited to discrete episodes.
- It provides mathematical reasoning case study details through AlphaProof implementation showing how experiential learning enabled breakthrough mathematical problem-solving.
- It proposes human-AI alignment frameworks for maintaining human direction while enabling autonomous exploration and capability development.
- It assesses societal impact of experiential AI systems, balancing transformative benefits against potential risks of increased AI autonomy.
- It contrasts human reasoning patterns with non-human reasoning approaches that may develop fundamentally different and potentially more effective problem-solving methods.
Cited By
Quotes
Abstract
We stand on the threshold of a new era in artificial intelligence that promises to achieve an unprecedented level of ability. A new generation of agents will acquire superhuman capabilities by learning predominantly from experience. This note explores the key characteristics that will define this upcoming era.
References
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
---|---|---|---|---|---|---|---|---|---|---|
2025 WelcometotheEraofExperience | David Silver Richard S. Sutton | Welcome to the Era of Experience | 2025 |