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jcattletoday at 7:48 AM8 repliesview on HN

There's this crowd on HN which is very vocal against academia. From what I've seen, the main points are that academia isn't efficient, most of the science coming out of academia is useless and that the whole system is just a waste of taxpayers money. Instead, what is often argued, all good research is done in private labs. Then pointing to SpaceX, Moderna, OpenAI, Google, etc.

And while it is very true that often the research coming out of Academia is useless, what is always neglected are the roots of the research done in private labs.

When Jürgen Schmidhuber and team published their work on Neural Nets back in 1991 it was also useless. Unless you had a supercomputer and very, very deep pockets you were not going to do anything with what came out of their lab.

But still, 30 years later here we are, standing on top of the shoulders of this useless research.


Replies

yorwbatoday at 8:51 AM

Like half of what Schmidhuber is always complaining about is that (except for LSTMs) people aren't standing on the shoulders of his research very much. They try to solve some of the same problems people have always wanted to solve, try some of the same approaches people always tend to try, and then tinker until it works. At no point do they consult Schmidhuber's decade-old papers where he tried something kind of similar but didn't get very impressive results, and hence they also do not think to cite him. Then he comes out of the woodwork to assert priority.

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eloranttoday at 10:41 AM

I do a lot of work that is based on academic research, aka building a proprietary sparse embedding model. My issue with academia is that they don’t bother to solve the practical issues. They tell you how to build a PPMI model, but what about hitting a database that’s 500TB to find co-occurrence numbers? This isn’t even touched so you’d then have to go and invent a bazillion of algorithms yourself to make your life easier. So while the bedrock is based on academic research and we thank them for that, scaling anything requires a lot of work in uncharted territories.

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ACCount37today at 9:41 AM

Where is "this crowd" that you are talking about?

The closest to that that I've seen is that traditional academia approaches are too far removed from practical applications for highly applied fields like software engineering, or too slow for fast-moving fields like modern day ML (thus, all the preprints).

contingenciestoday at 11:57 AM

Every western academic nearly systematically ignores eastern science and philosophy: classicism means "western European". Never mind Europe only flourished intellectually post Islam, which imported the science and engineering of China and India, critically including printing and zero[0]. IMHO this is why distaste for academia grows: it's based on appeals to authority which are demonstrably farcically misplaced. Alternatively stated: the emperor has no clothes, much less silk or paper!

Just as the Dewey Decimal System really only served the purpose of providing the facetious nominal linearization of an arbitrary depth ontological oversimplification, so too humans are much more like random pattern matching machines than festidious sense-makers glued to absolutes derived from false appeals to static mono-perspective ontological hierarchies. The same is becoming lived experience in the LLM age, although the tiktokked youth apparently cannot string ten words together or focus longer than three seconds to attest, I'd wager they can feel it. Are we losing something by rejecting the habit of rigorously manually tending to spurious and temporary ontologies? Yes. Is it necessarily a loss in the long term? Probably not, in the same way we no longer write long-form letters or leave calling cards. Are we gaining something in response? Yes, at a minimum much stronger cross-pollination between ivory towers by fearless exploratory pragmatists who disrespect the would-be scope of nominal professions in favor of holistic thinking... both AI and human.

[0] https://en.wikipedia.org/wiki/Science_and_Civilisation_in_Ch...

tcp_handshakertoday at 9:51 AM

I think most of criticism of academia is about the rampant fraud and unreproducible results, due to the way the incentives are structured.

wolfi1today at 10:32 AM

and you still need tons of money

MrBuddyCasinotoday at 10:17 AM

This is a straw-man if I ever saw one.

Practically no one is against hard science research, properly conducted. The issues are rampant fraud / p-hacking / unreproducible garbage mixed with an unhealthy dose of ideological monoculture and indoctrination, garnished with rising tuition prices while sitting on huge endowments in case of the Ivy Leagues.

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pembrooktoday at 11:45 AM

I feel like you're constructing a strawman to argue against. I visit this site almost daily and the prevailing sentiment is usually the polar opposite of what you're suggesting.

If sentiment on HN were as you say, how could your pro-academia and anti-big tech comment be sitting at the top as the most upvoted comment?