The Gradient: Perspectives on AI cover image

The Gradient: Perspectives on AI

Latest episodes

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Oct 10, 2024 • 1h 53min

Jacob Andreas: Language, Grounding, and World Models

Jacob Andreas, an MIT associate professor specializing in language learning and intelligent systems, shares his fascinating insights. He discusses the philosophical challenges of grounding language in real-world contexts and compares human understanding to that of large language models. Jacob reflects on the evolution of language processing, the complexities of word embeddings, and how research paradigms have shifted over time. Additionally, he explores the concept of world models in AI and their critical role in decision-making, enhancing the understanding of language's connection to cognition.
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Sep 26, 2024 • 1h 20min

Evan Ratliff: Our Future with Voice Agents

Evan Ratliff, an award-winning investigative journalist and bestselling author, dives into his new podcast Shell Game, where he creates an AI voice clone of himself. He discusses the emotional complexities of voice technology and its impact on personal connections. Ratliff shares insights on the changing landscape of journalism, technology's influence on children, and the potential ethical dilemmas surrounding AI. He reflects on storytelling's heart in journalism and the challenges of maintaining authenticity in this digital age.
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Sep 12, 2024 • 1h 38min

Meredith Ringel Morris: Generative AI's HCI Moment

Meredith Ringel Morris, Director for Human-AI Interaction Research at Google DeepMind and an Affiliate Professor at the University of Washington, discusses the intersection of AI and human-computer interaction. She emphasizes the need for cross-disciplinary collaboration, especially in accessibility for individuals with disabilities. The conversation includes ethical considerations surrounding generative AI and its societal impacts. Morris also highlights the importance of diverse perspectives in AI development and the challenges of navigating biases in technology.
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Sep 5, 2024 • 1h 21min

Davidad Dalrymple: Towards Provably Safe AI

Davidad Dalrymple, Programme Director at ARIA and former AI safety researcher at Oxford, dives into the complexities of artificial intelligence. He discusses the shifting perspectives on AI risk, the significance of calibrated predictions for AGI, and the orthogonality thesis. Davidad emphasizes accountability in AI development, highlighting the need for robust safety frameworks. He also explores the interconnected challenges of cyber-physical systems and the importance of diverse research approaches to navigate potential AGI pitfalls. Tune in for insightful reflections on the future of AI!
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Aug 29, 2024 • 2h 28min

Clive Thompson: Tales of Technology

Clive Thompson, a journalist and contributing writer for Wired, dives into the art of writing and the intersection of technology and personal experience. He shares insights on cycling across the US, exploring climate change, and the importance of storytelling authenticity. Clive contrasts different writing styles and reflects on his journey in journalism amidst evolving tech culture, highlighting the role of poetry and creativity in conveying complex ideas. The conversation also touches on skepticism in automation within software engineering and reimagining technology for self-reflection.
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Aug 22, 2024 • 1h 33min

Judy Fan: Reverse Engineering the Human Cognitive Toolkit

Judy Fan, an Assistant Professor of Psychology at Stanford and the director of the Cognitive Tools Lab, dives into the fascinating intersection of cognitive science and creativity. She discusses how physical artifacts aid in sensemaking and problem-solving, while also revealing the double-edged nature of cognitive tools. Judy explores the evolution of meaning in creativity, the importance of interdisciplinary collaboration in science, and the role of visuals in communication and cognition, all providing profound insights into understanding human thought.
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Aug 15, 2024 • 1h 47min

L.M. Sacasas: The Questions Concerning Technology

L. M. Sacasas, a thoughtful writer and technology analyst, dives deep into the complex relationship between technology and humanity. He discusses the importance of asking challenging questions about our use of technology and how outsourcing skills impacts our competency. The conversation explores the evolving definitions of what it means to be human and encourages critical thought on the emotional costs of technological convenience. Sacasas highlights the need for personal connections in a digital age, emphasizing moral seriousness in our technological engagements.
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Aug 8, 2024 • 2h 53min

Pete Wolfendale: The Revenge of Reason

Pete Wolfendale is an independent philosopher and author from Newcastle, known for his critical examination of traditional thought. In this discussion, he critiques longtermism and explores the nature of reason in relation to AI. He delves into metaphysical concepts and the limitations of decision theory, emphasizing a need for deeper understanding of human values. Wolfendale also discusses the interplay between language and technology, revealing how they shape selfhood and identity. This conversation invites listeners to rethink philosophical foundations in a rapidly evolving world.
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Aug 1, 2024 • 1h 2min

Peter Lee: Computing Theory and Practice, and GPT-4's Impact

Peter Lee, President of Microsoft Research, shares insights on the intersection of theory and practice in AI. He recounts his early work on compiler generation and type theory. The conversation dives into the complexities of generative AI, including criticisms of the 'Sparks of AGI' paper and the importance of ethical development. Lee also discusses the significance of robustness in neural networks and the qualitative evaluation of language models, emphasizing the delicate balance between innovation and responsibility in AI advancements.
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Jul 25, 2024 • 2h 23min

Manuel & Lenore Blum: The Conscious Turing Machine

Manuel & Lenore Blum discuss their journey in theoretical computer science and consciousness. They delve into mentorship, the Conscious Turing Machine model for AI consciousness, free will, pain, and decision-making. They highlight the essence of gist in information processing and offer guidance for young technologists.

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