An interview with J. Craig Wheeler, Professor of astronomy of the University of Texas at Austin about his book, The Path to Singularity.
Explore how synthetic systems merge with organic experience in The Artificiality. Follow the journey from information to consciousness, where AI evolves from passive tools to active participants, reshaping reality, redefining intelligence, and challenging the boundaries of human experience.
Congratulations to the authors of of the Artificiality Book Awards 2024!
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.
Apple researchers recently published a paper describing a new architecture for vision models. The paper's unique approach to vision modeling hints at Apple's likely strategic imperative towards heavily integrating vision models in spatial computing environments.
Considering Big Tech's longer-term potential, peril, and possibility with AI.
Writing and Conversations About AI (Not Written by AI)
