This article is relevant to our recent discussions and Zak Stein’s (see Edward’s recent post) suggestion that great destabilizing events open gaps in which new structures can supplant older, disintegrating systems–with the inherent risks and opportunities.
- What is humanity’s situation with respect to surviving long-term with a good quality of life? (Frame the core opportunities and obstacles.)
- What attributes of our evolved, experientially programmed brains contribute to this situation? (What are the potential leverage points for positive change within our body-brain-mind system?)
- What courses of research and action (including currently available systems, tools, and practices and current and possible lines of R&D) have the potential to improve our (and the planetary life system’s) near- and long-term prospects?
Following is a list of (only some!) of the resources some of us have consumed and discussed online, in emails, or face-to-face in 2019. Sample a few to jog your thoughts and provoke deeper dives. Please add your own additional references in the comments below this post. For each, give a short (one line is fine) description, if possible.
- In The Age of AI (Frontline video – about 2 hours)
- Cognitive aspects of interactive technology use
- The origins and evolutionary effects of consciousness
- Damasio on consciousness
- Range: Why Generalists Triumph in a Specialized World
- Team Human by Rushkoff
- Life 3.0 (video interview – about 1 hr 23 min)
- Life 3.0 synopsis
- Eric Brynjolfsson and Max Tegmark on ‘Life 3.0’ – exponential change (video – about 1 hr)
- Zero marginal cost society – collective commons
- Syntegration – key to innovation
- Storytelling as adaptive collective sensemaking
- How does music affect the brain?
- The neuroscience of creativity
- Is the info processing (IP) metaphor of the brain wrong?
- Intra-species evolutionary arms race drove brainpower leaps
- Evolutionary theory: Fringe or central to psychological science
- Climate change and social transformations
- Algorithm, not talent or merit, determines wealth distribution
- 2019 ‘best’ year on record for humans
- Influence of capitalism on well-being
- Does altruism exist?
- Networks thinking themselves (video – about 1 hour)
- Did ability to enter trance states enable formation of human society?
- Cultural evolution
- Free, Fair and Alive: The insurgent power of the commons
- New scientific model can predict moral and political development
- Do our models get in the way?
- 40-year update on meme theory
- Beyond free will: The embodied emergence of conscious agency
- How the internet is affecting your brain
- Ideas of Stuart Kauffman
- This link shows 12 positive benefits of meditation supported by scientific studies
- Part of the collective commons transformation is how humanity has become a hybrid cyborg with the machine, meaning the personal computer and an internet connection. It has fundamentally changed our nature to one of a mass-communicated collaborative commons. The Frontiers ebook is the tech side of that development, whereas the more social side is what Rifkin writes about.
- Heart-rate variability and social coherence
- How cooperatives are driving the new economy
- Yuval Noah Harari Is Worried About Our Souls
- The Age of Entanglement
- Fungi as a new model for cooperation and communication?
- The landscape of 21st century science
- The collective computation or reality in nature and society (among other great SFI resources)
- Brain tunes itself to criticality, maximizing information processing
- Evolved biocultural beings
- Editorial: Evolutionary Theory: Fringe or Central to Psychological Science
- From computers to cultivation: reconceptualizing evolutionary psychology
- Evolved computers with culture. Commentary: From computers to cultivation: reconceptualizing evolutionary psychology
- Information-Processing and Embodied, Embedded, Enactive Cognition Part 1
- Frontiers – Peer-reviewed, free-access scientific journals
- Divided brain, divided world (video – about 11 mins)
- Is the power law really all dat?
- Scale-free networks are rare
- Consciousness in humanoid robots
- Journal: Human Arenas
- SFI: InterPlanetary Round Table Discussion: Our Future in Space (Neal Stephenson and others)
- Thinking devices – imitation, mind-reading, language and others – are neither hard-wired nor designed by genetic evolution
- EU Ethics guidelines for trustworthy AI
- The neural and cognitive foundations of math
- AI will never conquer humanity
- The agency of cognitive artifacts
- Neuroscience: Deep breathing changes your brain
An article in The Conversation explores the variety of neuron structures in the elephant brain.
Taken together, these morphological characteristics suggest that neurons in the elephant cortex may synthesize a wider variety of input than the cortical neurons in other mammals.
In terms of cognition, my colleagues and I believe that the integrative cortical circuitry in the elephant supports the idea that they are essentially contemplative animals. Primate brains, by comparison, seem specialized for rapid decision-making and quick reactions to environmental stimuli.
In her new book, Reader Come Home: The Reading Brain in a Digital World, author Maryanne Wolf explores how reading affects the brain and mind. What different effects result from consuming digital media rather than print media and long forms rather than tweets, posts, and other microcontent? In her excellent recent article, she says,
Will new readers develop the more time-demanding cognitive processes nurtured by print-based mediums as they absorb and acquire new cognitive capacities emphasized by digital media? For example, will the combination of reading on digital formats and daily immersion in a variety of digital experiences — from social media to virtual games — impede the formation of the slower cognitive processes, such as critical thinking, personal reflection, imagination, and empathy, that are all part of deep reading?
Wolf first addressed the evolution of reading and its implications in her earlier book, Proust and the Squid: The Story and Science of the Reading Brain. She summarizes her thesis in this interview (14 min video).
Stanislas Dehaene, an author whose work we’ve discussed, also investigated the brain circuits involved in reading. Hear him speak on the topic in this video (33 min).
Several of us met on Labor Day with the goal of identifying topics for at least five future monthly meetings. (Thanks, Dave N, for hosting!) Being the overachievers we are, we pushed beyond the goal. Following are the resulting topics, which will each have its own article on this site where we can begin organizing references for the discussion:
- sex-related influences on emotional memory
- gross and subtle brain differences (e.g., “walls of the third ventricle – sexual nuclei”)
- “Are there gender-based brain differences that influence differences in perceptions and experience?”
- epigenetic factors (may need an overview of epigenetics)
- embodied cognition
- computational grounded cognition (possibly the overview and lead-in topic)
- neuro-reductionist theory vs. enacted theory of mind
- “Could embodied cognition influence brain differences?” (Whoever suggested this, please clarify.)
- brain-gut connection (relates to embodied cognition, but can stand on its own as a topic)
- behavioral priming and subliminal stimuli (effects on later behavior)
- incremental theory – “The Dark Side of Malleability”
- creative flow as a unique cognitive process
- Eastern philosophies and psychology – a psychology of self-cultivation
- neuroscience of empathy – effects on the brain, including on neuroplasticity (discussed October 2017)
- comparative effects of various meditative practices on the brain
- comparative effects of various psychedelics on the brain
- effects of childhood poverty on the brain
- neurocognitive bases of racism
If I missed anything, please edit the list (I used HTML in the ‘Text’ view to get sub-bullets). If you’re worried about the formatting, you can email your edits to firstname.lastname@example.org and Mark will post your changes.
Google and others are developing neural networks that learn to recognize and imitate patterns present in works of art, including music. The path to autonomous creativity is unclear. Current systems can imitate existing artworks, but cannot generate truly original works. Human prompting and configuration are required.
Google’s Magenta project’s neural network learned from 4,500 pieces of music before creating the following simple tune (drum track overlaid by a human):
Click Play button to listen->
Is it conceivable that AI may one day be able to synthesize new made-to-order creations by blending features from a catalog of existing works and styles? Imagine being able to specify, “Write me a new musical composition reminiscent of Rhapsody in Blue, but in the style of Lynyrd Skynyrd.
There is already at least one human who could instantly play Rhapsody in Blue in Skynyrd style, but even he does not (to my knowledge) create entirely original pieces.
Original article: https://www.technologyreview.com/s/601642/ok-computer-write-me-a-song/