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.
ChatGPT and similar tools can significantly alter workflows by changing how we match tasks with skills. Think of a two-by-two matrix: on one axis, you have the skill needed for a task; on the other, the worker's proficiency level.
This week: Generative AI's Undesirable Unpredictability, Sensemaking & AI, Meta-Prompting, Doug Belshaw: Serendipity Surface & AI, Pro: Conversing with AI, Part 1-3, and Pro: February Update.
Explore all digitized human knowledge by exploring with generative AI. Part 3 in our How to Use Generative AI series.
Developing the skill to craft effective prompts is a critical aspect of working with generative AI. It's about understanding what you want, knowing how to articulate that desire in a way the machine understands, and strategically using the AI's strengths to your advantage.
How to go beyond prompting and develop your conversational AI skills. Now, as more AI collaboration is designed inside of applications, do you still need to learn how to prompt? If you want to get the most out of AI, we would say, yes.
Sensemaking is going to change. AI will allow us to find story-less, a-narrative yet meaningful correlations. Our minds will have to be open to a new kind of awe: that which a machine can make sense of that we cannot.
This research shows how flexible these models are: meta-prompting aids in decomposing complex tasks, engages distinct expertise, adopting a computational bias when using code in real-time which further enhances performance, then seamlessly integrates the varied outputs.
An interview with Doug Belshaw about serendipity surface & AI.
Slides and videos from our February 2024 research update for Artificiality Pro
This week: New research and product previews from Apple, Google, and OpenAI; an interview with Richard Kerris of NVIDIA, crafting better promtps, an interview with Tyler Marghetis, and an exploration of generative AI and flow.
The introduction of Gemini 1.5 Pro's ability to handle unprecedented context lengths, its superior performance compared to its predecessors, and the sustained relevance of power laws in its design underscore the breadth and depth of Google's long term capabilities.
By understanding the principles behind the evolving field of prompt engineering, we can craft better queries and engage more effectively with AI. They're insights we can all use to sharpen our own interactions with AI, even if we're not writing the code ourselves.
Writing and Conversations About AI (Not Written by AI)
