Matthew Sparks
@sparksm
BS Behavioral Neuroscience: addiction and addiction treatment armchair-expert with a past toxic relationship with opioids. Aspiring terminal degree holder. Lifelong musician, metalhead, tech nerd and PC gamer, and open-mic night standup comic. Accidentally blew up on YouTube for screaming in my car.
This is one of the foundational papers that established the more medicalized brain disease model of addiction (which AA and treatment facilities would borrow from, if I were to put it lightly. Hijack is a more appropriate term)
This is absolute garbage. If you search “marriage penalties and federal welfare programs”—which is in their Project 2025, this trash is the first result.
Dr. Marc Lewis promotes a model for addiction based around deep learning—the process by which our brain deeply integrates thoughts, beliefs, and actions when doing or experiencing something impactful, over and over again, or both. This model stands in contrast to the idea that addiction is brain disease, unable to be cured—only treated—and that demands indefinite abstinence from all mind altering substances.
I think productivity is really a race to the bottom um it's I think that the that a lot has been said about how humans uh or machines are trying to be more human but I think less has been said about how humans have for decades uh been trained to be machines
and we have a lot of unlearning to do because if we focus on efficiency and optimization and
... See moreAnother important point about not just our cultural obsession with these vague notions of achieving great productivity and efficiency: these sorts of things move us further from our unique human nature and closer towards that of sorting machines.
This applies to PKMS design as well: If you are spending more time doing the robot part of the work instead of learning or applying, the application is not helping you. IT’S DISTRACTING YOU.
Music and
New Fleshgod, baby!
Neuroscience and
Unsurprisingly, a study found that (N=5.806) found that both D’s and R’s overestimate the opposing party’s approval of morally abhorrent acts.
“Learning that opponents condemn basic moral wrongs reduces dehumanization and fosters interest in cross-partisan cooperation. Correcting this bias could combat political dehumanization.”
Key Facts:
Moral Misjudgment: Both parties overestimate opponents’ approval of immoral acts.
Survey Findings: Correcting this bias reduces dehumanization and promotes cooperation.
Social Media Impact: Use of words referencing immoral acts has increased, especially post-2016.