AI is evolving from models to systems to agents—autonomous entities that act, adapt, and collaborate. As intelligence emerges from interactions, the future of AI depends on context, trust, and workflow integration. How we design social AI today will shape its role in amplifying human intelligence.
A lecture by Michael Levin, distinguished professor of biology at Tufts University and associate at Harvard's Wyss Institute
Preparatory material for our workshop on using generative AI for decision-making, generated by NotebookLM.
OpenAI and Google Usher in The Intimacy Economy, Reasons You'll Need an AI Assistant—Even if You Don't Want One, Is AI The Cure for Male Loneliness, and more!
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.
While considering the potential risks and implications of OpenAI releasing an AI voice that appears designed to draw people in, I found an interesting r/artificialinteligence Reddit thread of people sharing their preference for talking with AI over other humans.
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.
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.
Writing and Conversations About AI (Not Written by AI)
