Indeed. My biggest bugbear with this is google's "___location accuracy" service, which implicitly sends them not only your ___location, but a detailed map of any networks around you. It takes active effort to keep it turned off (and doing so actually breaks quite a few UI flows in google maps!), and still I've accidentally turned it on a few times and only noticed because I actively check for it. There is no reasonable definition of 'consent' which can be derived from that setting.
I never took that phrase to be reserved for sexual situations - in fact my mom used to use it with me all the time over toys, ice cream, etc. "Come ON, PLEEEASE?!" "No means no..."
I think it's a phrase that is often applied in sexual situations, but not intended to be exclusive to them.
so, measuring progress by lines of knowledge added?
speaking openly
that kinda science seems like a bullshit factory (a very lucrative one, of course)
and analogous to an llm hallucination — shallow satisfaction of constraints by enumerating a problem space irrespective of contextual appropriateness, a liability, and forgotten as soon as real value comes along
surely the best science isn't just reproducible by scientists — engineers can get the grubby mits on it, to improve (ok, shape) the circumstances of our lives, and survival
that other stuff is busywork, not "literature". they are very different things...
although i'd counter with the idea that it isn't code-writing which we practice continually to master the art, but world modelling: we model the world within the constraints of code in our mind, to become experienced enough to do so reliably, then usefully within different contexts
In that analogy, the programmer is more like a luthier then, not a musician. Great luthiers generally aren't also great musicians. Completely different set of skills
> "what if we’re pouring more and more effort into research in an area, because our primary abstraction is wrong?
Absolutely; perhaps "thinking of knowledge in terms of physical environments" also helps to illustrate why – sometimes the only way to get to where we want to be, is to redefine where-and-how we begin
Concretely, looking up a unconquered mountain: it may seem as though many approaches are viable, but when attempt proves otherwise, the only option might be to return to base, and consider a new origin for approach
I think this also helps illustrate why "progress by accrual alone" is so inherently flawed. Sometimes you must begin again, in whole, but also in part – because "you can't get to anywhere from anywhere"
In fact, for almost all domains other than science, beginning again is such an optimal remedy to progress dead-ends, it's operational
Writers know what's up – kill your darlings. Software engineers too, famously – measuring software progress by lines of code added is counter productive – we learn to be unsentimental, delete and reconsolidate often. This is the continual redefinition of the "origin" of where we continue-on-from
Though it does require a change in perspective: written words, and lines of code – not as asset, but liability. Redundant words, code or literature, is contrived complexity. Unnecessary, and after a while, prohibitive to progress. I think science hasn't done this yet? – we know that naming things is hard, but perhaps for science, calling every artifact 'literature' doesn't help...
I also think that science catastrophically misunderstands "beginning again". Finding new origins is easiest for those who haven't been conditioned to only see one. It doesn't take magical genius, just (selective) ignorance. This is why (non-trivial) revolutionary paradigms often come from outsiders (or historical scientists who did not complete the endurance test of the modern day burden)
I can't help but think that scientific genius is based on "eh, fuck that, i'm sure there's a better way"
It's as if, when Kuhn wrote "Structute", a million normies cried out in pain, and because they'd already been conditioned to one origin, and couldn't stand the idea of "newbs" getting credit, vowed to prove that "progress by iterative accrual alone" was all that was necessary. And here we are
> This is why (non-trivial) revolutionary paradigms often come from outsiders (or historical scientists who did not complete the endurance test of the modern day burden)
Can you give me an example of this in the last century? Or even historically?
Why artificially limit the (historical) set-of-all non-trivial revolutionary paradigms to the last century?
Current academia seem to treat the phd (implicit modern) as a minimal barrier to credibility (which is curious for several reasons). But given the modern phd is a relatively recent invention, this heuristic ought to exclude every paper written by those who predate this new form/ qualification. Of course, historic progress seems to be revered most of all
The point isn't to suggest that the modern form was beyond historical figures (though I suspect given the nature of earlier scientific progress many might choose to not endure the modern form), but more frame the question "had they (historical figures) been conditioned to think narrowly, within the contrived 'lanes' of modern isolated disciplines, would they still have thought as they did?"
All of Hofstadters "analogies which shook the world" (surfaces and essences) necessarily depend upon thinking across arbitrarily plural scopes of phenomena, and deeply — with commitment to the premise that the deepest understanding of our universe which that they might contribute to the endeavour, frames an implicit "universal general ___domain" of characteristic forms which apply universally. This is the opposite of isolated special-___domain thinking/ stay in your lane/ etc
Education includes learning and conditioning. I wonder if the degree to which we stress test conditioning impacts ongoing learning, specifically open learning, learning across (artificial) boundaries of special-domains
Yes -- I also wonder if a description involving learning plural software languages might fit:
1. Hack programmatic-functionality in a first language
2. Master the intricacies of a first language, understanding all programmatic concepts through the lens of that languages specific implementation-details. Pedantically argue with those familiar with different language implementations, due to a kind of implementation-plurality/ essential-form blindness
3. Learn additional languages, and 'see past' specific implementation details and pitfalls of each; develop a less biased understanding of the essence of any task at hand
The global landscape has changed significantly since (last week) this case began