A Co-Created Manifesto for a Future with AI We are delighted to announce that we will be partnering with IDEO
Join us in creating something that doesn't yet exist: a genuinely democratic vision for AI's role in human flourishing.
AI offers speed, but real expertise takes time. Discover how to stay essential by preserving the deep skills that AI can’t replace—and why your value depends on it.
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 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.
