Scott Aaronson (1981-)
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Scott Aaronson (1981-) is a person,
References
2024
- https://www.scottaaronson.com/
- I'm Schlumberger Centennial Chair of Computer Science at The University of Texas at Austin, and director of its Quantum Information Center. My research interests center around the capabilities and limits of quantum computers, and computational complexity theory more generally.
For the 2022-2023 and 2023-2024 academic years, I'm on leave to work at OpenAI on the theoretical foundations of AI safety.
- I'm Schlumberger Centennial Chair of Computer Science at The University of Texas at Austin, and director of its Quantum Information Center. My research interests center around the capabilities and limits of quantum computers, and computational complexity theory more generally.
2024
- (Wikipedia, 2024) ⇒ https://en.wikipedia.org/wiki/Scott_Aaronson Retrieved:2024-3-6.
- Scott Joel Aaronson (born May 21, 1981) is an American theoretical computer scientist and Schlumberger Centennial Chair of Computer Science at the University of Texas at Austin. His primary areas of research are computational complexity theory and quantum computing.
2024
- "The Problem of Human Specialness in the Age of AI." Personal Blog
- NOTES:
- AI's Evolution and Human Uniqueness: The article explores the philosophical implications of AI advancements, questioning human specialness in a future where AI might perform tasks as well or better than humans.
- Large Language Models (LLMs) and Their Impact: It highlights the transformative potential of LLMs like ChatGPT and image models like DALL-E, recognizing their capacity to mimic human-like responses and creativity, while acknowledging their limitations.
- AI Safety and Future Scenarios: The talk considers various outcomes of AI development, from potential stagnation (AI winter) to the continuous progression that could significantly alter human life, emphasizing the importance of addressing both the risks and the promises of AI.
- Critique of Justaism and Goalpost-Moving: It criticizes the tendency to undervalue AI achievements by continually shifting the criteria for intelligence and creativity, challenging the separation between empirical capabilities and the essence of "thinking."
- Turing Test and Distinguishing AI from Humans: The discussion revisits the Turing Test as a measure of AI's ability to emulate human consciousness, while recognizing practical challenges in distinguishing AI-generated content from human contributions in various contexts.
- Pedagogical Implications of AI: The article debates the role of AI in education, questioning the extent to which AI should be integrated into learning processes and how it might change the way fundamental skills and knowledge are taught.
- Human Creativity vs. AI's Replicability: It delves into the concept of creativity and originality, positing that human uniqueness and the value of individual creative expressions might remain a distinguishing factor against AI's ability to generate infinite, but perhaps less meaningful, creative outputs.
- NOTES:
2013
- Aaronson, Scott. Quantum computing since Democritus. Cambridge University Press, 2013.
- BOOK OVERVIEW: Written by noted quantum computing theorist Scott Aaronson, this book takes readers on a tour through some of the deepest ideas of maths, computer science and physics. Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory, computability and complexity theory, quantum computing, cryptography, the information content of quantum states and the interpretation of quantum mechanics. There are also extended discussions about time travel, Newcomb's Paradox, the anthropic principle and the views of Roger Penrose. Aaronson's informal style makes this fascinating book accessible to readers with scientific backgrounds, as well as students and researchers working in physics, computer science, mathematics and philosophy.