This week we dive into learning in the intimacy economy as well as the future of personhood with Jamie Boyle. Plus: read about Steve Sloman's upcoming presentation at the Imagining Summit and Helen's Book of the Week.
Explore the shift from the attention economy to the intimacy economy, where AI personalizes learning experiences based on deeper human connections and trust.
A conversation with Jamie Boyle, author of The Line: AI and the Future of Personhood
This week we dive into learning in the intimacy economy as well as the future of personhood with Jamie Boyle. Plus: read about Steve Sloman's upcoming presentation at the Imagining Summit and Helen's Book of the Week.
Explore the shift from the attention economy to the intimacy economy, where AI personalizes learning experiences based on deeper human connections and trust.
A conversation with Jamie Boyle, author of The Line: AI and the Future of Personhood
It’s easy to fall prey to the design illusion that because LLMs look sleek, they must be well-designed. But aesthetics alone do not equal design. As Steve Jobs once said, “Design is not just what it looks and feels like. Design is how it works.”
It’s curious that these two papers, tackling such similar ideas, came out at the same time. Is this coincidence, or does it tell us something about where the study of life and intelligence is heading?
The Artificiality Weekend Briefing: About AI, Not Written by AI
AI's impact on skill development: Balancing productivity gains with long-term expertise. Explore how AI changes apprenticeships, challenges traditional learning, and affects industries. Learn strategies to integrate AI while preserving crucial human skills and mentorship.
Magritte's "Son of Man" metaphor explores digital obscurity of reality. AI model collapse mirrors human isolation effects. Minds struggle without diverse input. Balancing AI benefits and genuine human connection crucial. Develop metacognitive skills to navigate this new landscape.
Explore the evolving understanding of human intelligence and AI. Discover how the "bow tie model" of cognition and the concept of "affordances" reveal uniquely human creativity. Learn about Artificiality—the future fusion of biological and artificial intelligence reshaping our reality.
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.
Generative AI promises personalized learning at scale but risks creating dependency. Complementary cognitive artifacts enhance skills; competitive ones replace them. Effective AI tutors balance engagement and autonomy, expanding human cognition without diminishing critical abilities.
Explore Many-Shot In-Context Learning to enhance AI interactions. Learn five strategies from Google DeepMind's research to optimize your prompts for language models like ChatGPT. Improve your AI prompt engineering skills and maximize AI capabilities.
Explore a new framework for predicting emergent phenomena in complex systems. Learn how concepts like causal, informational, and computational closure offer new insights into emergence, from ant colonies to financial markets. Explore practical applications for your work and life.
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.
As meta-researchers, we consume ideas and research from a variety of sources. Books, in particular, are an important source. And Helen reads a lot of them. Each week she profiles one book in our newsletter—and this is the the full list.
A running catalog of the facts & figures we publish every week in our newsletter.
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.
LLMs are great at coming up with approximate knowledge and ideas for potential plans. But to actually use those ideas, you need to pair the LLM with external programs that can rigorously check the plans for errors. The key is to use them as part of a bigger system.
This week we are leaning into multiple metaphors: AI as a mirror, UX design as a window or room, and life as information. Plus: read about Michael Levin's upcoming presentation at the Imagining Summit, Helen's Book of the Week, and our upcoming events.
In this issue, we dig into the question of how AI affects expertise and skills: how AI affects mastering a complex field like coding, preserving human expertise in the age of AI, and a conversation with Matt Beane about his book, The Skill Code.
The fever pitch of AI expectations has far exceeded the realities of today's generative AI products.
The $1 Trillion Question, Mortality in the Age of Generative Ghosts, Your Mind and AI, How to Design AI Tutors for Learning, The Imagining Summit Preview: Adam Cutler, and Helen's Book of the Week.
Reflect by sharpening cognitive skills and metacognitive self-awareness. Part 9 in our How to Use Generative AI series.
Fuse by improving synthesis of complex and conflicting information. Part 8 in our How to Use Generative AI series.
Iterate by critiquing, interacting, and iterating to improve outpus. Part 7 in our How to Use Generative AI series.
Create by mixing modes, varying both inputs and outputs, and perspectives. Part 6 in our How to Use Generative AI series.
A conversation with Shannon Vallor, professor of ethics and technology at the University of Edinburgh, and the author of The AI Mirror.
A conversation with UC Santa Barbara Assistant Professor Matt Beane about his book "The Skill Code: How to Save Human Ability in an Age of Intelligent Machines."
A conversation with Emily M. Bender, professor of computational linguistics at the University of Washington.
A conversation with John Havens, author of Heartificial Intelligence: Embracing Our Humanity to Maximize Machines.
Join us for our monthly research briefing on Tuesday June 11 at 1pm PT. This month's topic is generative AI search.
This month's topic is Agentic AI aka AI Agents, a relatively new type of AI system that can pursue complex goals using capabilities to perceive, reason, and act.
Artificiality Co-founders, Helen and Dave Edwards, spoke about Rethinking Value in the Age of AI at the EY Innovation Realized conference at the Palace of Fine Arts in San Francisco on April 16 & 17.
Artificiality Co-founders, Helen and Dave Edwards, will be speaking on Generative AI & Data Culture at the Starbucks Innovation Expo on May 14 & 15 in Seattle.
The Artificiality Weekend Briefing: About AI, Not Written by AI
