Latest news (Page 14)
Tyler Marghetis: The Leaps of Human Imagination
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.
Eye on Apple
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.
Weekend Briefing: Investors Eye AI
Considering Big Tech's longer-term potential, peril, and possibility with AI.
Collective Prosperity
Working with AI requires seeing beyond automation to amplification. If society chooses to complement strengths between humans and machines, more dynamic partnerships become possible.
The Uneven Impact of AI Expertise on Entrepreneurial Success
Our World of Workflows research discovers that the benefits of AI support are not evenly distributed but rather significantly skewed toward businesses and entrepreneurs that are already succeeding.
James Evans: Scientific Progress
A conversation with Professor James Evans from the University of Chicago about scientific progress.
Understanding Consciousness Before Building it in AI
Seven books to read to understand theories of consciousness and its implication for how it might be built in AI.
Oregon State University Cascades Edge Lecture
Artificiality Co-founders, Helen and Dave Edwards, were guest lecturers on Generative AI for the Oregon State University—Cascades Edge program.
Happy 40th Birthday, Macintosh. Here’s to the next 40.
Our vision for AI follows in the legacy of the Macintosh—technology that is equally science and art, humanities and engineering, and, above all, designed 'for the rest of us.'
Whole-mindedness
Current AI resembles left-brained reasoning - optimized, logical but decontextualized. Humans play the right-brained role anchored in real world connections.
Agentic AI
Defined as “the degree to which a system can adaptably achieve complex goals in complex environments with limited direct supervision", agentic AI promises to transform how we make decisions.