Drawabox | A free, exercise based approach to learning the fundamentals of drawing
A free, exercise based approach to learning the fundamentals of drawing. We tackle drawing in a logical, analytical fashion inspired by concept artists and industrial designers, focusing on technical skills that can be developed with hard work and determination.
Prof. Judy Fan: Cognitive Tools for Making the Invisible Visible
Prof. Judy Fan: Cognitive Tools for Making the Invisible Visible
People Who Can't Visualize Anything Are Challenging a 300-Year-Old Theory of Thought
Mental imagery might not be as central to complex human thought as we believed, philosophers say.
Why A.I. Isn’t Going to Make Art
To create a novel or a painting, an artist makes choices that are fundamentally alien to artificial intelligence.
Making Programming Visual, Spatial, and Learnable
What's wrong with linear, static programming mediums and how might we improve them?
paint: a timeline — Kristen Roos
This timeline is the result of researching the origins of digital paint and draw software, and the tools that were developed to allow for hand manipulation (versus plotter drawn) drawing and painting - the mouse, light pen & drawing tablet. If we look at the software that has become commonplace today (such as adobe photoshop), which allows for painting, animation and photo manipulation in one, we can trace the roots of this software to the University and Corporate Labs that housed large computers with advanced capabilities for their time - MIT Lincoln Labs & Radiation Labs, DARPA & the Augmented Research Centre (ARC), Bell Labs, NYIT’s Computer Graphics Lab, Xerox Palo Alto Research Centre (Xerox PARC), NASA’s Jet Propulsion Labs (JPL). The artistic collaborations that grew out of these labs fueled the advent of Computer Graphics, Computer Art and Video Art from the 1960's to the 1990's.
Verbalizable Representations Form a Global Workspace in Language Models
If the mind is an ocean, we spend our lives floating at the surface. Beneath us, an enormous amount of processing takes place without our knowledge: our visual systems parsing the contours of a face, our motor circuits maintaining our posture. At any given moment, only a small fraction of this neural activity is accessible to us. Yet it is this privileged sliver of activity that we rely on to reason deliberately: to plan what ingredients to buy for a recipe, or to puzzle out why an engine won’t start. Such thoughts can be articulated out loud, deliberately held in mind, and brought to bear on whatever task the moment demands. This distinction, between our accessible thoughts and our unconscious processing, is perhaps the most striking feature of human cognition.
Verbalizable Representations Form a Global Workspace in Language Models
If the mind is an ocean, we spend our lives floating at the surface. Beneath us, an enormous amount of processing takes place without our knowledge: our visual systems parsing the contours of a face, our motor circuits maintaining our posture. At any given moment, only a small fraction of this neural activity is accessible to us. Yet it is this privileged sliver of activity that we rely on to reason deliberately: to plan what ingredients to buy for a recipe, or to puzzle out why an engine won’t start. Such thoughts can be articulated out loud, deliberately held in mind, and brought to bear on whatever task the moment demands. This distinction, between our accessible thoughts and our unconscious processing, is perhaps the most striking feature of human cognition.
Immutable Skills
How knowledge redevelops at higher levels of abstraction, and why its still dependent on properties of the printing press
I’ve been working through the Turvey book on Rob Gray’s podcast and one key feature is the extended articulation of the argument that every attempt to handle perception other than direct perception is just an example of the same old Cartesian mistake with all the same problems. How accepted is this?
Reading Group: Turvey (2019), Lectures on Perception
psychsciencenotes.blogspot.com
