Comment by 99954bb63ccc
10 hours ago
Agree 100%, especially with your second paragraph. The majority of domain experts I've interfaced with in my own domain, along with things I am not an expert in, are typically experts not because of the solutions they build, but because of the things they _don't_ build. It is the cliche "a clever person solves a problem, a wise person avoids it" paraphrase.
But I think what is lost is the value in (a) person(s) who intuitively spots and avoids these problems. My hypothetical example that I have seen play out: The domain expert spots one of these problems and succinctly explains that the problem doesn't need to be solved. Maybe it's a byproduct of bad design elsewhere, or there is a much better solution that avoids it altogether. Once the rest of the team/the lead catches on, either hindsight bias or outcome bias, or a combo, takes over and they don't recognize that all the value all along was in the person being able to spot this situation. They throw that in claude and claude does it's sycophant thing (after expressing that the previous situation was flawless for however long), and they are off to the races right back to automation bias with zero pause for thought...
To me, "domain knowledge" seems to resemble a primitive form of "slop filter" to use the modern parlance. In any field, the majority of possible ideas are slop. This has always been the case. People somehow learn to navigate through the slop, to find things that are worth working on.
Even before the AI era, we were flooded with a veritable DDOS attack of slop, in our in-boxes, meetings, etc. Managers believed that innovation was held back by quantity of ideas, or by the domain experts being "resistant to change." This led to day-long group brainstorming sessions that yielded nothing. Part of the transition from student to junior to senior is learning to filter your own ideas, and to guide others in the search for ideas that are likely to be fruitful.
The criteria for slop filtering have always been subjective, arbitrary, or driven by institutional culture. That's what we've got. Any means of generating ideas produces slop in the absence of filtering.
What will slop filtering look like when the AI can generate tera-proofs per second? What does it look like already for our e-mail inboxes? We are asymptotically trending towards slop filters that look more and more like "ignore everything." I already read none of the business memoranda that I receive. I don't answer my phone. The number of workers needed to read and assess business memoranda is zero.
The slop filter still functions in math. Problems are pre-filtered for being of interest. Somebody expressed enough interest in the Navier-Stokes problem to give it a name and attach a prize to it. There are still plenty of "prize problems." Here are some:
* Quantum gravity
* Improvement of superconductors that don't need helium
* Practical generation of power from fusion
hmmmm. Good points. esp:
> Part of the transition from student to junior to senior is learning to filter your own ideas, and to guide others in the search for ideas that are likely to be fruitful.
I wonder how that'll change over time now. I think it's pretty important to have a few instances of thinking hard to come up with ideas and being totally convinced they are correct, only to have someone else trounce them with one or two succinct thoughts of their own. Those were very big personal development moments for me. And equitable, I still have folks with a lot less exp/time come out of left field with maybe not as formulated, but amazing ideas.