It is profoundly ironic that this article is AI generated.
I assume the author's first language is not English and they are using AI to punch up their English.
Taste in the age of AI and LLMs
181–190 of 230 posts
Re: Taste in the age of AI and LLMs
#182Earlier quoted context omitted.
But you still need effort, its not only taste. "Only" means you can do it with no effort.
At some point, just an idea will be enough for your Neurolink to spawn an agent to create 1000 different versions of your idea along with things that mimic your tendencies. There will be no effort, only choice.
[deleted]
Re: Taste in the age of AI and LLMs
#183Disagree with the overall argument. Human effort is still a moat. I've been spending the past couple of months creating a codebase that is almost entirely AI-generated. I've gotten way further than I would have otherwise at this pace, but it was still a lot of effort, and I still wasted time going down rabbit holes on features that didn't work out. There's some truth in there that judgement is as important as ever, t…
It doesn’t really matter how good your taste is if you are drowning in the ocean of crap.
Customers can’t find you
Re: Taste in the age of AI and LLMs
#184Earlier quoted context omitted.
In other words, it requires a tremendous amount of effort to fully communicate your tastes to the AI. Not everybody wants to expend the time or mental effort doing this! (Once we have more direct brain/computer interfaces, this effort will go down, but I expect it will not be eliminated fully)
This is the second time in two days I've seen a subthread here with folks seemingly debating whether or not defining and communicating requirements counts as work if the target of those requirements is an LLM system. I'm confused as to why this is even a question. We used to call this "systems analysis" and it was like... a whole-ass career . LLMs seem to be remarkably capable of using the output, but they're not eve…
Thinking might even be more difficult: Unfiltered thoughts, intrusive thoughts, people with no inner voice to encode as text...
Re: Taste in the age of AI and LLMs
#185Earlier quoted context omitted.
I think you're missing the point. Effort is a moat now because centaurs (human+AI) still beat AIs, but that gap gets smaller every year (and will ostensibly be closed). The goal is to replicate human labor, and they're closing that gap. Once they do (maybe decades, but probably will happen), then only that "special something" will remain. Taste, vision... We shall all become Rick Rubins. Until 2045, when they ship Ru…
> but that gap gets smaller every year (and will ostensibly be closed) As long as you build software for humans (and all software we build is for humans, ultimately), you'll need humans at the helm to steer the ship towards a human-friendly solution.
[deleted]
Re: Taste in the age of AI and LLMs
#186Earlier quoted context omitted.
I think you're missing the point. Effort is a moat now because centaurs (human+AI) still beat AIs, but that gap gets smaller every year (and will ostensibly be closed). The goal is to replicate human labor, and they're closing that gap. Once they do (maybe decades, but probably will happen), then only that "special something" will remain. Taste, vision... We shall all become Rick Rubins. Until 2045, when they ship Ru…
do you need taste if you can massively parallel a/b test your way to something that is tasteful? say like you take your datacenter of geniuses and have a a rubin-loop supervising testing different directions. shouldn't that be close enough?
Can infinite monkeys produce Shakespeare?
Re: Taste in the age of AI and LLMs
#187Earlier quoted context omitted.
Is the joke that the guy is drinking bad coffee?
The joke is that the person "saying" this is wearing their "I'm a rational, independent thinker!" tech uniform (expensive Nordic outdoors wear, so practical, so smart, so active, Vimes' boot theory, et c, not like those clowns in business wear, I'm interested in practicality not signaling, that's why I'm spending so much money signaling so hard about how rational I am). They are visibly displaying a complete lack of…
Of course, it's John VP of Product. Did he tell you about that triathlon he did last weekend? Don't worry, if he hasn't already, he will.
Re: Taste in the age of AI and LLMs
#188Earlier quoted context omitted.
It does amaze me when colleagues refuse to read what I (personally, deliberately) wrote (they ask AI to summarize), but then tell AI to write their response and it's absolutely bloated and full of misconceptions around my original document. If they aren't willing to read what I put effort into, why should I be expected to read the ill-conceived and verbose response? I really don't want to get into a match of my AI ar…
Ya, I can't stand that. Asking a question and being hit with "this is what claude said" gives me a new kind of rage.
Yeah, this happened to me recently and the advice could have caused data corruption (yay old systems). I only caught it because they asked before making changes and I had a vague memory of it from having investigated the same thing almost a decade ago (and found the note and explanation with a link to a bugtracker in my personal wiki).
Re: Taste in the age of AI and LLMs
#189It is profoundly ironic that this article is AI generated.
I assume the author's first language is not English and they are using AI to punch up their English.
I don't mind an article with weird but readable grammar, as long as typos are checked. At least that's an honest article.
Re: Taste in the age of AI and LLMs
#190> One of the most useful things about AI is also one of the most humbling: it reveals how clear your own judgment actually is. If your critique stays vague, your taste is still underdeveloped. If your critique becomes precise, your judgment is stronger than the model output. You can then use the model well instead of being led by it. Something I find that teams get wrong with agentic coding: they start by reverse eng…
[flagged]
I don't think you really need a tool for that, you can just add something like "after the task is finished, have a subagent review the work in an adversarial fashion. If any defects, no matter how small are found, have another subagent implement the findings. Repeat this in a loop until all subagents achieve consensus that the product is of exceptional quality with no defects" or similar to each prompt. Each subagent gets its own, fresh, context window. No tooling required.