It’s that time of the year again, where people review, make resolutions, set goals and plan for the next year. One of the questions that comes up is planning one’s readings.
This blog post is a slightly adapted (but still unpolished) response to a question on the productivity guild, “How do you handle readling lists?”
The concept of an absolute, global “reading list”, which is what most people have in mind when discussing “reading lists” is counter-productive. Continue reading Instead of Designing a Reading List for 2019, Why Not Resolve to Do This?
A friend of mine asked me to expand on my tweets about mnemonics regarding Not “Just Friends”, a book by Shirley P. Glass:
Sometimes #mnemonics are so easy to create it’s funny, which makes them even more memorable. Ex: /Author of Not Just Friends/Shirley P. Glass./ A Big idea of her book is “windows and walls”
— Luc P. Beaudoin (@LucCogZest) December 12, 2018
Hence this post.
A Delphic pronouncement from CogSci Apps: In January 2019, You Will Find Out Why 2019 Will Not Be Like Years Before.
On the CogSci Apps blog, I announced the new CogSci Apps logo! Check it out. It’s a good example of social cognitive productivity: doing knowledge work with a great graphic designer, to create a concrete logo that meets multiple very abstract requirements.
Last year, I blogged twice about serious PDF rendering issues in macOS High Sierra (first post, second post). The problems were very significant for knowledge workers (and serious university students), because the highest quality information tends to be distributed in PDF. And if it’s not in PDF format, it often ought to be converted to PDF to be annotated and delved deeply.
Continue reading macOS Mojave Seems to Have Fixed the PDF Rendering Problems I Described Last Year
In line with my learning from art project, I try to always think of a set of works of art that are helpfully related to content I develop (or delve). This is to get more out of art than we naturally do. And it can help improve one’s understanding. The task is actually quite difficult, because most brains (including mine) do not naturally index art in this way (but I believe one can deliberately build such indexes in our brains).
Here are a few works of art that came to my mind on the topic of my recent blog post, Psychological Hedonism meets Value Pluralism: An Integrative Design-oriented perspective – CogZest. Continue reading A Bit of Art for Value Pluralism
I recently complained about the Siri dictation service on macOS being slow to load, and asked whether the problem remains in RAM with Macs that have 32-GB of RAM. I didn’t get an answer to that question. But I did get an 11″ Nov 2018 iPad Pro, which I now keep beside my desk, on, at all times while I’m working on my Mac (which is in most other respects much better for knowledge intense work than an iPad).
This week-end, I will present at a humanist meeting on “Psychological Hedonism vs. (integrative design-oriented) value pluralism: architecture-based motivation”. Psychological hedonism claims that “only pleasure or pain motivates us.” (Stanford Encyclopedia of Philosophy). Psychological hedonism is a form of value monism (meaning one ultimate or intrinsic good). Value pluralism is the view that we have multiple, top-level, possibly incommensurable sources of motivation. Integrative design-oriented psychology is a way of understanding whole mind with methods drawn from AI (including artificial general intelligence) and philosophy. Architecture-based motivation is the idea that the mind produces many top level (intrinsic) motivators; it has motive generators.
We won’t deal much with ethical hedonism here.
I argue against psychological hedonism and in favour of value pluralism.
In 2012, I blogged about How Dictation Benefits Cognitive Productivity. The now discontinued Dragon Dictate for Mac, on which I gave up several years ago, did have an advantage over Siri: it loaded faster. (It also was explicitly trainable.) In my consistent experience (well inference from experience) since the introduction of Siri for macOS, if Siri has not been invoked for more than a few minutes, macOS offloads Siri loads from RAM. Continue reading Does macOS Load Siri Faster in MacBook Pro with 32-GB of RAM?