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.
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.
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.
This research from Anthropic on the inner workings of Claude constitutes a major milestone in AI interpretability. It's a first glimpse into the mind of an alien intelligence, one that we've created but are only beginning to understand.
An interview with Māori Data Sovereignty expert, Karaitiana Taiuru about indigenous peoples and AI.
Weave by Levering the Technology's Combinatorial Power. Part 5 in our How to Use Generative AI series.
We are witnessing the emergence of agentic and ubiquitous AI systems that will reshape the digital world. We will see vastly more machine content than human content: nothing will be comprehensible without a machine interpreting it for us. By machines, for machines is the new paradigm.
A recent paper entitled The Platonic Representation Hypothesis supports the idea that widespread use of singular algorithms might actually be simplifying hte world. Large-scale AI models, such as GPT-4, are all starting to learn the same representations of human digitized reality.
Join the conversation as we discuss the significance of Google's new Gemini, Project Astra, TPUs, and the implications across security and education.
Join the conversation as we explore the implications of ChatGPT4o's new features, data gathering, emotionally engaging interactions, and the potential risks associated with emotional recognition technology.
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.
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?
The Artificiality Weekend Briefing: About AI, Not Written by AI
