Read it and gain a gnawing sense of unease at how "good" things might really be at present!
Living in antarctica is one of our closest analogues to long-term space habitation.
I came up with difficulty, opportunity and motivation.
If an idea is difficult or non-obvious, if it requires insight or following the steps of a particular argument, many people of any age may remain ignorant of it. You could kind of force this into the obtuse bucket, but in my experience people are less obtuse, than slow. Obtuse, as a label, is mostly a way of lazily flipping the bozo bit and cutting your losses.
And if you don't encounter an idea or concept or piece of knowledge, you won't know it. If it's useful, you may just have accepted a worldview without that use. This kind of ignorance isn't just inexperience. It can be learned helplessness too.
Motivation is an axis that isn't fully orthogonal to the others. Motivation can overcome difficulty, and encourage searching and testing behavior which gets you to opportunity.
I'm not sure, having read the essay, that PG's perspective is more correct. I think obtuseness is too reductive, and inexperience strikes me as more plausible as a reason an essay might be impactful, optimizing for one reason for ignorance, than a reason for not knowing the topic of any given essay if it's not general common sense.
On impact: I think something is likely to be more impactful the more ignorant you are about the topic were beforehand (the distance between what you knew before and after reading), multiplied by how motivated you are (which is related but distinct from importance: you can be motivated by stamp collecting or trainspotting). Your motivation is generally split among competing motivations the older you get; you can't afford focused monomania like a teenager.
A big dose of information isn't likely to shift your momentum (getting close to physical impact) when it's just a glancing blow, rather than hitting it head on.
Anyway, it sure is impactful to tell the kids stuff. I think we already knew this though.
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That risk (losing all content and facing extinction) is what pushed Netflix in the direction of being a content-producer, rather than a content aggregator. I agree with everyone's points on the influence of the median user in diluting the quality of the content Netflix produces, but that's not the only forced that pushed us here. Spotify faced a similar crossroads and decided to broaden beyond music once they started losing bidding wars for licensing.
Being a faster horse wasn't an option available to either Netflix or Spotify; there is no path for a 'better 2012 version of netflix or spotify' in 2025. They each had to change species or die, and they chose to keep living.
We are looking for talented, experienced Data Scientists who are ever curious about data problems and eager to write code to get those problems solved.
Members of this team creatively find problems as well as solve them. Much of the work is analyzing detection mechanisms and bot behaviors, making advances in realtime bot detection and mitigation, and implementing those advances in production.
The positions are on the team I lead. The data and problem are interesting, data is intrinsically useful in bot detection, and there is no shortage of challenge to working a difficult problem. Python, SQL, and Rust are some languages we're currently using for most of our work.
Apply here: https://thales.wd3.myworkdayjobs.com/Careers/job/Vancouver--... for the job posting.
We are looking for talented, experienced Data Scientists who are ever curious about data problems and eager to write code to get those problems solved.
Members of this team creatively find problems as well as solve them. Much of the work is analyzing detection mechanisms and bot behaviors, making advances in realtime bot detection and mitigation, and implementing those advances in production.
The positions are on the team I lead. The data and problem are interesting, data is intrinsically useful in bot detection, and there is no shortage of challenge to working a difficult problem. Python, SQL, and Rust are some languages we're currently using for most of our work.
Apply here: https://www.imperva.com/company/careers/position/?p=job/ofXg...
We are looking for talented, experienced Data Scientists who are ever curious about data problems and eager to write code to get those problems solved.
Members of this team creatively find problems as well as solve them. Much of the work is analyzing detection mechanisms and bot behaviors, making advances in realtime bot detection and mitigation, and implementing those advances in production.
The positions are on the team I lead. The data and problem are interesting, data is intrinsically useful in bot detection, and there is no shortage of challenge to working a difficult problem. Python, SQL, and Rust are some languages we're currently using for most of our work.
Apply here: https://www.imperva.com/company/careers/position/?p=job/ofXg...