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
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.
Working with AI requires seeing beyond automation to amplification. If society chooses to complement strengths between humans and machines, more dynamic partnerships become possible.
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.
A conversation with Professor James Evans from the University of Chicago about scientific progress.
Seven books to read to understand theories of consciousness and its implication for how it might be built in AI.
Artificiality Co-founders, Helen and Dave Edwards, were guest lecturers on Generative AI for the Oregon State University—Cascades Edge program.
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.'
Current AI resembles left-brained reasoning - optimized, logical but decontextualized. Humans play the right-brained role anchored in real world connections.
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.
A recent study from MIT has been grabbing attention with its unconventional take: don't worry about AI snatching your job, it's not cost-effective.