A question I am asked frequently after presenting "How Humans Judge Machines" is whether I think people will become more or less accepting of machines in the coming decades.
My answer often surprises some people in the audience... /1
My take is that people will not become more or less accepting of machines in the future, but instead, will become more polarized about it. /2
If there is something we have learned in the last few years, it is that average opinions do not seem to matter as much as their variance.
On average, the center of a rope in an even tug-o-war is the same as that of a still rope./3
So focusing on whether perception improves or worsens may be a distraction. It is the tension pulling in opposite directions that we need to observe.
I don’t know if this is the meaning of life, but to me, it is damn close.
As I meet more people in their sunset years, & I imagine myself there, I see that some have achieved a zen-like quality that I hope one day I'll have. Those are people who can be truly happy for others. 🧵
No veil. No bullshit. Bliss for those living outside your own skin. I don’t think everyone gets there, but I think many do.
You see, we are born lacking much of that ability. As children, we are self-centered. And that’s ok. As parents we even allow children to intoxicate in their own self-righteousness.
What are complex systems? And what does it mean to study complexity? The recent Physics Nobel Prize has brought complexity back into the limelight, but also, it is pushing those of us who have dedicated our lives to the of study complex systems to reflect on its history. 🧵 /1
My journey into complex systems began in the late 90s, as an undergraduate in Chile, when I discovered fractals, chaos, pattern formation, & iterated functions. I devoured books on these topics. But late in my degree I learned that Networks was were the field was moving.
One book, and one particular message that strongly resonated with me, was @barabasi’s Linked. Throughout the book, Laszlo repeated one idea over and over.
My experience using Facebook has been quite different over the last year. I have posted primarily personal & life content to many people, most of whom I've met in person. As a result, I am not getting much political content in my feed. I understand the problem but don't relate.⬇️
Facebook is the only place where I interact with distant cousins and aunts, many of advanced age. It is not a colosseum like Twitter. But the place where family and friends can "spy" on you.
So after 16 years in America, I have to ask: is it just Facebook? Or is it loneliness?
Some content has to be shoveled into your feed. If you cannot flood your feed with content from people you know, your feed will be populated with content that people shared. And non-viral and viral content look a bit different
After advising PhD & Master students for over a decade, there is one thing I find most students need to unlearn: the half-ass work mentality acquired during years of tests and homework. Let me explain (thread 🧵). 1/N #AcademicTwitter
For most of their education students are evaluated using tests & homework. We are all familiar with the process. The student is asked to do some work; they turn it in, and get a grade (eg a B+,B, A, etc.) 2/N
But when they make it to grad school (or to their first job) it is quite different. Once they turn in work, they are not given a grade. They are given feedback and asked to do the work again. Sometimes several times. 3/N
The "IKIGAI" of research (thread 🧵)
When thinking about research projects, it may be useful to have a way to think about their potential value. Over the years, I've seen many projects fail, & some succeed. Today, I think about projects in terms of three basic dimensions:
These are: (1) Relevance: is there a reason to care about the research result? Who will care? And why? (2) Surprise: is the result more than what people would expect from simple common sense? Is it counterintuitive? (3) Rigor: is the research sound and reproducible?
Finding projects that balance the three is rare. But we all know a few great examples. Consider Newton's law of gravitation. It is relevant since it helps explain the movement of projectiles and celestial objects.
You've heard about audiobooks. But videobooks?!
We translated How Humans Judge Machines into 30 short episodes. You can now watch the full book in this thread! Starting with: Episode 1, Introduction & motivation