The Artificiality Imagining Summit 2024 gathered an (oversold!) group of creatives and innovators to imaging a hopeful future with AI. Tickets for our 2025 Summit will be on sale soon!
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.
Apple's iPad Ad Disaster, AI Agents Webinar, Improving Your Prompts with Iterative Reasoning Techniques, AI & Accountability, and more!
I believe that accountability becomes more pronounced in the era of AI. While the accountability dynamics between humans and machines may differ, humans will invariably assert that if someone had access to such advanced AI capabilities, they had the means to make more informed decisions.
Proposing a new method to improve the reasoning abilities of LLMs, the paper makes a significant contribution by demonstrating a new approach that is both effective and efficient. We also pull ideas from the science with specific ideas to improve your own prompting.
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.
An AI the Knows Absolutely Everything, Co-Agency and the Paradox of Autonomy, Google DeepMind on AI Assistants, State of AI Report, Omri Allouche from Gong, and more.
In the era of generative AI, characterized by seamless co-creation and the economics of intimacy, worries about AI encroaching on agency have more existential elements. They go to the essence of humanity, as machines now actively participate in significant aspects of original thought.
What is complexity science? Why is it so interesting? What can we learn from it?
What’s happening in the world of generative AI and what you can do about it. Our report covers current confusion, status, anxiety, and AI in the wild. And we include a self-assessment for organizational benchmarking.
The fundamental takeaway from this paper is that the design of true personal AI assistants necessitates a foundational shift toward responsible design principles from the outset.
An interview with Omri Allouche, the VP of Research at Gong, an AI-driven revenue intelligence platform for B2B sales teams.
Explore Apple's AI research strategy, focusing on privacy, efficiency, and seamless user experiences. Discover advancements in context understanding, model compression, multimodal interactions, and reference resolution that could revolutionize Siri and AI-driven features across Apple's ecosystem.
Why the world feels more complex—and why that feels hard. Why more problems are complex problems. Why organizations struggle with complexity.
The Artificiality Weekend Briefing: About AI, Not Written by AI
