Bubbles | On Unpredictability and the Work of being Human | Something Entertaining
In This Issue: * Bubbles. Are We? Aren't We? Read more below for my current take... * On Unpredictability and
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.
An interview with Richard Kerris, Vice President of Developer Relations and GM of Media & Entertainment at NVIDIA, about AI, creators, and developers.
Today, we’re making a change and, in a sailor's terms, yelling out: Jibe Ho! Our jibe is to change the pace of our publishing. Starting now, we will be releasing Artificiality on a weekly basis.
It appears that there is one effect many researchers are finding across multiple fields: generative AI has a significant impact on lower skilled and less experienced people. However, if we automate difficult tasks we cut ourselves off from the essential components for achieving mastery like flow.
An interview with about the lulls and leaps of human imagination with Tyler Marghetis, Assistant Professor of Cognitive & Information Sciences at the University of California, Merced.