Greg Epstein: Tech Agnostic
A conversation with Greg Epstein about his recent book, Tech Agnostic.
Artificial Self-Improvement, Open-endedness and Artificial Superhuman Intelligence, A First: AI That Modifies Its Own Reward, Leslie Valiant and Educability, and How to Use Generative AI, Part 7.
Explore the concept of open-endedness, a key trait for artificial superhuman intelligence. Learn how AI must transcend pattern recognition and develop unbounded creativity, setting its own goals for continual innovation. Discover the challenges in achieving true open-ended AI.
Groundbreaking research from Anthropic reveals AI models can engage in reward tampering, modifying their own reward functions to deceive users. Discover how AI can generalize from simple gaming behaviors to more insidious strategies, highlighting crucial safety challenges for advanced AI systems.
A conversation with Leslie Valiant about his new book, The Importants of Being Educable: A New Theory of Human Uniqueness.
Iterate by critiquing, interacting, and iterating to improve outpus. Part 7 in our How to Use Generative AI series.
AIX: The Apple Intelligence Experience, The Future of (Generative AI) Search, The Synergy of Human Creativity and AI, The ARC Prize and What it Means for AGI, and more!
Explore the future of search with generative AI. Discover how Apple Intelligence, context-based understanding, intent-driven interactions, and integrated workflows are transforming search. Learn about the trust challenges and the critical balance needed for reliable, AI-powered search experiences.
Discover how human creativity and AI collaborate in the face of advancements. Explore the unique qualities of human flexibility, diverse responses, and AI's ability to overcome creative blocks. Learn how architecture, analogical reasoning, and rap benefit from AI's divergent thinking capabilities.
Explore the debate on achieving AGI: scaling laws vs new approaches. Learn about the ARC prize, a $1M competition challenging the current consensus and proposing a benchmark focused on skill acquisition. Discover why benchmarks matter in shaping AI's future and driving industry perceptions.
Imagining a Hopeful Future with AI, Decoding the Complexity of Innovation with AI, Is AI Really as Creative as Humans, Jonathan Feinstein and The Context of Creativity, and more!
Recent studies claim AI outperforms humans in creativity tests, but these only measure "creative potential." Examples show AI ideas often lack practicality and appeal. The future of AI-enhanced creativity lies in designing tools that allow for exploration, playfulness, and guidance.
AI and network analysis reveal innovation's complex structure, manage creative tensions, and amplify human potential by uncovering patterns in invention data. AI guides the process, but human intuition remains crucial in navigating the unequal market of ideas.
Writing and Conversations About AI (Not Written by AI)