1. you can have luna clean up after itself and improve code 2. you might be doing something like video-editing, cad modeling, artistic direction, pcb routing, etc. that need to run a long time to "converge"
Has there ever been an instance in history when this strategy worked?
Plato argued that writing things down will make your memory worse, and less skilled as a debater (kind of true!)
How are the Luddites doing at textiles?
I remember the arguments that using 'high level languages' like C and Pascal will make you not understand machine specific details (kind of true!)
I respect that you want to learn how things are done, that is a great trait. But once you learn how its done, you should use the tools to free up cognitive load for more difficult tasks.
LLMs should not touch these technologies. Keep your slop factories in webdev. We have missles, planes and pacemakers to make still. If you ever feel like using your brain again, theres plenty of work to be done that llms cannot touch.
Surely those industries are not relying on humans writing "good code" to make sure faults are not introduced, right? There are static analysis and automated testing and rigorous QA processes, surely?
Why would you brag abput this. Most places make perf products do not use llms to write all their code. This isnt rare. You people dont know much outside of webdev. There isnt a single defense outfit doing it lol.
And why are the people calling people Luddite some of the least intelligent people I meet, and seem to be complete sheep fighting some psychological war on behalf of their billionaire lords who own the machinery.
Not wanting to hand off all your labor to a machine does not make you a luddite, nor should it be acceptable to call people that because you dont know how to have a real conversation.
It seems like "luddite" is a reasonable description for a strict "NO-AI" policy. You softened it to "not wanting to hand off all your labor" in this comment, but the word "any" would be a more apt way to describe the quote in the comment you replied to.
I already know how to code proficiently in more than 20 languages, that's the result of 40 years working in the field and being a 100X programmer. The summarizer is just a tool for myself, I build tools every day to simplify my life, not for sale, not for monetization, like tracking gym schedules or pickleball rallies with my friends, like kanban boards for my wife, they solve problems I have, not you, so that's enough for me and rewarding in itself
And AI does it all for me while I sip coffee and play mahjong (built by AI of course)
I mean this sincerely; the arrogance of calling yourself a 100X programmer is astounding. I don't know how you managed a 40 year career with that kind of attitude.
I havent met a single honest person who doesn't admit that their use or LLMs degrades their ability to do the same things without them. You're being dishonest.
What was edgy about asking someone to read a Thomas Pynchon essay on the word Luddite? Id argue their weird comment about people who don't like AI being luddites is more annoying and discriminatory.
AI maxxers know they're doing harm to themselves by overusing llms. The way they react so defensively when you point it out to them lets you know its real. Everyone wants to pretending like they have superpowers and are evolving into "100x" engineers, but in reality they're devolving.
We've been able to make watches with machines for 50 years. Handmade Watchmakers, and their producuts are more valuable and in demand than any guy running a conveyer belt. They still make 20x more if not 50x. People look up to them.
You can make a choice not to become a button pusher and still do things by hand. You dont have to fry your brain. You're falling for a massive trap to strip you of your value.
the difference is that code is not something the average person will marvel at over the intricate hand built details. You might get a few nerds interested if it's something super novel (like rewriting a major modern web app without any 3rd party libraries that is 30x more performant), but most people dont care. Extra true for businesses, I can't think of a business other than maybe a mom&pop shop or a place where showing wealth is important where they wouldnt happily issue casio watches far before they would consider a rolex.
Regular businesses are not going to build their own slop software because of AI, this is delusional. People will be hired because they love to build. Only a small percentage of the world loves to build things.
The most passionate people with the best reputation will suceed, they will continue to be in the most demand and will be the most valuable, like a swiss watchmaker.
Sorry LLMs arent replacing anyone who's got strong skills and cultivates them. You're so wrong here. These more passionate builders will however replace the lazy people who offload all their skill and brain capability to llms, and they'll use AI to help them.
Being lazy and letting llms do everything for you is not a good strategy.
Handmade watches are a tiny, niche market; they survive only because they've positioned themselves as a status symbol. Quartz watches are both cheaper and more accurate.
There is not room in the world for more handmade watchmakers, and there's not going to be room for much "artisan software" either.
Reminds me of how slot machine users swear the odds have changed on a machine.
also when someone says you just have to prompt it a certain way it reminds me of people who think they can get better results out of a slot machine by pressing buttons in a certain order
The providers of these models also design the UX similarly to slot machines (run it x amount of times for better results, multiplying your spend) this isnt a coincidence and they're playing into the gambler mentality, and probably hire UX designers that specialize in this.
Wtf are you on my dude. Anthropic UI is designed like a slot machine? Hiring slot machine specialists? Sometimes I can’t believe im even on HN anymore with comments like this.
I think some of it comes from that they do not publicly let you see the random seed. So each time you ask the answer is different (like a slot machine) and if they let users use the random seed it would let people much more accurately assess if an underlying model changed somehow (same seed and same input will always have the same output).
Of course the closed Anthropic would never share this, it would definitely take away the 'magic' feeling of the AI
With models there are a bunch of other dials that can be tuned even if the model itself remains exactly the same.
Are those dials set the same across all hardware configurations and clusters? Does model behavior average out the same across different hardware?
There are just too many different buttons that can be set to really trust a provider either not to directly commit fraud, or indirectly commit fraud with system complexity affecting the output.
Well, running an LLM X amount of times does give you better results provided you are willing to select the best one out of the X yourself.
But I agree with your general point. One of the reasons subscription plans are cheaper because they modulate usage in this way based on demand. They can also recover compute more coarsely via usage resets (which give positive PR).
Well yeah. If for some task you find it easier to just do it yourself then you should. But you can improve the situation even if you can't entirely automate it by automating parts of the verification thereby making it easier to human-do larger verifications when X>1. But in many cases even that is not possible.
The progress however is such that the number of tasks that you can do with >p% automated and X=1 keeps increasing. So many times just waiting works. Of course, here also it changes from field to field. There are some tasks at which AI hasn't even gotten started, others where it has already peaked, others where it's increasing slowly, and others where it's increasing fast.
If you have reusable components it should be quite easy for you to add it yourself. Its okay to code by hand, especially when doing frontend.
When comes to frontend work, the handmade UX designed by a professional will always outperform whats made by an llm.
Sure its 10x slower, but you'll get 20x more usere because it will obvious it was made with care (if done well, and you should learn to do it well). Its the same reason handmade clothing, watches and other luxery items speak to us more, sometimes its marketing but often times its the craft.
There's a reason why all the companies selling the idea that web dev is dead, like lovable, still hire designers with 50k retainers to do their landing pages.
Wasn't there a "standard" that phones in south kora had to make a shutter noise when you took a picture because they had such a huge problem with men doing up the skirt photos of strangers?
Not sure why you think social norms are positive. Negative amoral behaviors can become norms. I'd argue the west has tons of amoral behavior that is normalized.
Not sure about the noise, but Japan did something likr it with a constant light when the device was recording. I believe it was combatting the same kind of issues though.
Things happening does not mean it a social norm. It was never acceptable to take underskirt pictures in Japan. They also did not put the onus on women to wear special camera-disabling underwear.
Likewise, it's not acceptable to shove a camera to everyone's face, and it shouldn't be on people to opt-out of it.
It's good to a first-order approximation. Haven't seen many cases where it fails. You do get right-wing parties pretending to be left-wing (never the reverse) though, like the German one that called itself "worker's socialist"
Jevs marketing has a lot to do with claiming credit for this pardigm, when the devloper of Layla was actually the first to do it. Its quite annoying to see another member of the OpenAI mafia so clearly rip off someone elses IP.
What we should be talking about how Jev is actually closed source Layla.
Does anyone care about code quality anymore?
reply