Earlier quoted context omitted.
They're essays. The word means 'attempt' and the genre has always been about non-expertise. Montaigne was the ultimate non-expert.
> The word means 'attempt' It can, but doesn't in this context. 'Essay' was a sort-of polyseme (like 'passion', which can still mean 'suffering') that has long since severed ties with its origin. Outside certain narrow academic discussions, the etymology and current use of 'essay' have effectively nothing to do with one another. In any case though pg does pretend to some amount of expertise. "How to Do Philosophy" is…
Fashionable Problems
91–100 of 195 posts
Re: Fashionable Problems
#92Re: Fashionable Problems
#93This post sorely lacks evidence for its big first claim: > I've seen a similar pattern in many different fields: even though lots of people have worked hard in the field, only a small fraction of the space of possibilities has been explored, because they've all worked on similar things. Anyone want to step in with some examples? Without them, the thrust of the essay seems to be: "If only other people understood what…
In machine learning, there are currently a lot of people working with neural networks, but relatively fewer people exploring alternative model architectures. So much so that issues specific to neural networks sometimes get framed as fundamental to machine learning itself. I'm personally exploring an alternative class of models called tensor networks with many possibilities for research directions and lots of open questions but only a handful of people work on them. One reason for working on a popular idea is that it's nice to work on a topic where you have many colleagues and know in advance that your model is likely to give good results on challenging datasets.
Re: Fashionable Problems
#94The heuristic of trying to work on what you genuinely love is not helpful or practical for most people. It sounds good, but it is just a platitude. Genuine love and fake love feel and look pretty similar. Most people naturally start loving the life they live in, if it is generally positive. Then, they make up a self-affirming, coherent narrative that justifies their emotions, decisions, and interests. If you do an AI…
I love Joseph Campbell but his advice to his students to “follow their bliss” may not always be optimal.
I read the AI book “Mind Inside Matter” in the late 1970s, and even though I have done a ton of non-AI architecture and software development, I have also been able to work on AI problems like knowledge representation, expert system, NLP, neural networks, and deep learning starting in 1982. I definitely followed my bliss, but I have never been world class in my profession, but I have enjoyed myself.
Re: Fashionable Problems
#95I think pg understates the problem. It isn't just fashionable. Think about how the solutions we use today evolved. Someone had an idea originally and certain decisions were made about that approach.. those that best adapted to the conditions of the time were successful... rinse and repeat over several decades. Those ideas that preserved the past were more likely to succeed because they preserved the ecosystem that al…
Re: Fashionable Problems
#96The heuristic of trying to work on what you genuinely love is not helpful or practical for most people. It sounds good, but it is just a platitude. Genuine love and fake love feel and look pretty similar. Most people naturally start loving the life they live in, if it is generally positive. Then, they make up a self-affirming, coherent narrative that justifies their emotions, decisions, and interests. If you do an AI…
The platitude is directed toward those living a life they feel is negative, but who slog through for whatever reason: fear of change, obligation to other people, etc.
Taken as feel-good, head-in-the-sand optimism, of course it's facile advice.
But imo there is genuine wisdom in it, and it's this: You are much more likely to do something well, and to continue to do it until you reach a high-level of expertise, if you don't have to force yourself to do it. People who naturally love working out are more likely to be fit. That's what the heuristic is.
Re: Fashionable Problems
#97I think pg understates the problem. It isn't just fashionable. Think about how the solutions we use today evolved. Someone had an idea originally and certain decisions were made about that approach.. those that best adapted to the conditions of the time were successful... rinse and repeat over several decades. Those ideas that preserved the past were more likely to succeed because they preserved the ecosystem that al…
An interesting theory as to why we never evolved with wheels is the idea that an evolutionary improvement requires a viable intermediate state...something that works well enough in the transition from inferior to superior. It is worth noting that human inventions can evolve in much faster timelines than biological evolution, but no matter how fast they come, there does need to be a way to fulfill intermediate needs,…
Not really; wheels aren't an improvement in the first place so there is no need to explain why they didn't develop. Note that it's easy to make robots that use wheels, and difficult to make robots that use legs, but we make legged robots anyway so that they'll be able to handle environments other than dedicated roads.
(More recently, we make flying robots, sidestepping the issue that we don't really know how to do legs well.)
Re: Fashionable Problems
#98Earlier quoted context omitted.
They're essays. The word means 'attempt' and the genre has always been about non-expertise. Montaigne was the ultimate non-expert.
My thought is that Paul should view his essays at least as seriously as someone who is writing an important college application essay given who the audience is (college admissions in that case; HN readers in this case among others). Or maybe someone writing an opinion piece for a newspaper that is widely read and taken as significant. Imagine as an extreme (and not what PG is doing) if someone writing an 'essay' were…
Actually, I think I know the reason. pg writes to maximize brevity and directness. He's always interested in the shortest logical path from A to B. When language is optimized that way, it has a force that can sound like an implicit claim to authority. So his essays land that way with some readers, and then they react with a sort of protest: who is this guy and why does he get to act like an authority? But he isn't—what he's doing is stripping out everything extraneous, and that includes the soft touches that normally soothe the reader—"this is what I think", "your mileage may vary", that kind of thing. He's not stripping them out because he wants to provoke or thinks he's an expert or anything like that. Rather, it's a matter of taste. He likes to make things minimal. The same impulse is behind Bel, or the design of HN's front page. This is someone who might spend weeks getting rid of a single line of code if he was convinced the program could be shorter.
Before I met pg I thought it was impossible for someone to talk the way that he writes. But he does. He's always going for the shortest way to put things. What's clearer in spoken language than in writing is why he does this. It's for pleasure. In person it's infectious, because he clearly does it for its own sake and for fun. It's also essentially the thought process of an essayist: someone on the hunt for just the turn of phrase that makes a point in just the right way, and then moves on.
> If that is the case why do you need others expertise to vet it before posting?
They might think of something you missed or find parts that are unclear. But I don't think he's looking for experts so much as good readers.
Re: Fashionable Problems
#99Re: Fashionable Problems
#100I think pg understates the problem. It isn't just fashionable. Think about how the solutions we use today evolved. Someone had an idea originally and certain decisions were made about that approach.. those that best adapted to the conditions of the time were successful... rinse and repeat over several decades. Those ideas that preserved the past were more likely to succeed because they preserved the ecosystem that al…
Aside: This SMBC shall be long etched in my memory: "All the best work has been done over here! [...] The funding is here too!"
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Here's a teaser challenge for someone who has access to HN comments data for analytics: How often does an early comment come to dominate the discussion, rather than a better comment which comes later? Assume that there is some IID stochastic process which generates comments of varying quality (play with your distribution of choice), and plot what the time distribution of "best" comments looks like under that model -- compared to the time distribution of most upvoted/discussed comments on HN (can try different composite metrics here too).
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Provocative meta question for PG: Are (venture-funded) startups the "fashionable" idea that is over-subscribed? How would one know? (suppose we restrict the discussion to Silicon Valley)