rtpg
Joined 14 years ago
Joined 14 years ago
At one point intuition helps to build out usage of the math itself. See stuff like "oh I can do rotations through matrix multiplication"-style ideas.
It is helpful for us to be able to reach for those tools quickly. The more tools that require advanced prep to use, the less we'll be able to use the results in easier contexts. Everything will be hard
Of course nothing really prevents people from looking for the simpler tools and proofs. Lots of math stuff starts off complicated and gets simpler.
Just important that this is still a goal in mind
Not the stupid useless field tests that no one uses. Make a real thing that gets used by more than 5 people. Then consider whether your thing is actually useful. Then maybe put it out to the world
But just kinda randomly trying at various reasoning efforts reminds me a lot of hearing people just randomly replacing various libraries or code snippets with stuff found on stack overflow. No real theory of the system.
There's not even much of an excuse, cuz you can "just" sit there and type "why?" or "why not?" over and over into an agentic chat session and probably get things working quite quickly. Principled debugging is state space elimination for the most part!
I do get what you're getting at. I just feel like for every bit of drug that is just dumb luck we have a good amount of iterative processes.
I agree that you often find effects before understanding causes (I think that math also exhibits this! Many endeavors are about finding existing structure that we sense to be there but are unsure of).
Just... well... if you go down the "we don't understand anything anyways" path too much what makes your work different from alternative medicine?
And maybe it does a single finalized clinical trial.
You end up with this miracle drug (supposedly!), but no understanding of why it works or access to the iteration that would lead to that understanding (and increase in confidence that it doesn't cause people to drop dead anyways).
I think the medical example is a bit obtuse overall because "proof nobody understands for an open problem" isn't "miracle drug we are too scared to use". But understanding things feels useful and good.
(I think I overestimated how much of an angled shot it was the first time I saw it, on top of how easy or hard turning your finger into “actually capture this text”… but you’re totally right that in principle a camera at a non agressive angle can capture that text)
(I like this overall concept a lot! Cooking is the right example, voice interfacing’s 96% use case is basically “my hands are dirty but I must use computing”)
I wasn’t sure if any of this was real and that example looked extremely fake to me because I had a hard time believing the device being able to read text from that distance.
Never before has a set of engineers been more primed to solve a problem
There are people who won't care about this but I think that legibility would be a huge concern here. It's one thing to do $X per megameter, but it's another to start breaking it down into various zones etc
At that point might as well just do congestion pricing in cities.
And obviously, like, they go to places and talk to people and buy equipment etc.
There’s a whole gamut of failure modes for tech from “total civilizational collapse” down to “cell tower is down”, and time periods from “forever” down to “a couple of days”
People doing this sort of lifestyle but sharing findings and ideas and ultimately maybe pointing out how more can be done with less is part of us building up knowledge together isn’t it?
These people aren’t completely offline even! They blog and post online!
If a random person is given a 60 page proof to digest and not the author, those hidden insights that _aren't_ in the paper might be completely inaccessible. Maybe the AI will "just" be able to provide the insights. Maybe. But pedagogy is tricky work, and despite these AIs being able to do all this fancy math we can't get them to write good cover letters yet, so....
Ultimately we might be left with just a bunch of intellectually unsatisfying proofs. This means way less drive to simplify the proofs or rework them.
End result: we generate a layer of "less efficient" mathematics, that won't get built upon. We will not actually have any shoulders upon which to stand.
blog: https://rtpg.co
email: raphael at above domain