Adam Gamwell
@anthrocurious
In pursuit of mutual thriving. Cultural Anthropologist, Technologist, Dad, musician, vibe maker-coder,
Adam Gamwell
anthrocurious.com
Aside from the doomers who believe that AI will kill us all and the techno-utopians who believe it will solve all of our problems, there are three main ways that people seem to be thinking about AI.
At one extreme, you might fear that AI will take your job. Certainly, you’ve read as much in the press, and it does seem to be getting better and... See more
At one extreme, you might fear that AI will take your job. Certainly, you’ve read as much in the press, and it does seem to be getting better and... See more
The first step is to understand the fundamental difference between humans and AIs. We are analog, chemical beings, with emotions and feelings. Compared with machines, we think slowly—and we act too fast, failing to consider the long-term consequences of our behavior (which AI can help predict). So we should not compete with AI; we should use it. At... See more
Esther Dyson • Don’t Fuss About Training AIs. Train Our Kids
a community is defined not by common interests or physical space, but as “a group of people who share mutual concern for one another”. It’s the difference between someone you feel you could call on for help in the event of a 3am plumbing emergency, versus “someone you technically ate pizza with” once.
Elle Hunt • I want community – but am I prepared to put the work in?
Experience. Don’t observe.
Inhale. Don’t read.
Transfigure. Don’t shift.
Advocate. Don’t ponder.
Prove. Don’t promise.
Encourage. Don’t cut.
Imagine. Don’t worry.
Do. Don’t analyze.
Hear. Don’t listen.
Show. Don’t tell.
Give. Don’t take.
Brian Collins • 101 Design Rules
We’re experiencing many crises in America right now, but arguably the meta-crisis is one of social trust.
For decades, there has been a building body of evidence that when people trust each other — including literally responding “yes” to the question “Can most people be trusted?” — lots of important, positive things are easier: income inequality... See more
For decades, there has been a building body of evidence that when people trust each other — including literally responding “yes” to the question “Can most people be trusted?” — lots of important, positive things are easier: income inequality... See more
When we introduce new machines, we also disrupt social structures, games, and the rules of those games. With paradigm shifts come lots of progress, yes. But agents of progress are agents of chaos too. They create agitation and anxiety.
I see many shades of this, but I’ll narrow it down to three major types:
Anxiety of incompetence: my skills are devalued and i have to learn new ones
Anxiety of irrelevance: people might not relate to, value, or think about me
Anxiety of uncertainty: I don’t know what the future holds and it feels fickle
He who knows only his own side of the case knows little of that. His reasons may be good, and no one may have been able to refute them. But if he is equally unable to refute the reasons on the opposite side, if he does not so much as know what they are, he has no ground for preferring either opinion... Nor is it enough that he should hear the... See more
Read today this almost feels like a backdoor secret entrance to empathy for a culture that prefers not to listen to those with different perspectives have to say
In investing, higher volatility usually equates to higher possible returns. In today’s world of online expression, we settle for lower expected value, market-level outcomes so as to not ruffle any feathers and not take any outsized risk. We’re basically hoping to allow people to know us enough so that they include us in their passive index of... See more
Being Known is Being Loved
Thought provoking and VC Culture
An interesting reflection on the contrast between the desire for big gains in Venture capital and culture and the mediocre results a product might create and how that mediocrity shapes the way we think about humans
I think the most worrisome aspect of AI systems in the short term is that we will give them too much autonomy without being fully aware of their limitations and vulnerabilities. We tend to anthropomorphize AI systems: we impute human qualities to them and end up overestimating the extent to which these systems can actually be fully trusted.