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Ask HN: Anyone else find LLM related posts causing them to lose interest in HN

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Re: Ask HN: Anyone else find LLM related posts causing them to lose interest in HN

#101

Earlier quoted context omitted.

>With LLMs, before being able to understand what everyone's talking about, there's a lot to know. There can be a sense of being left out. I think that can be demotivating. I find it to be the exact opposite. The idea of "Artificial Intelligence" as a thinking machine is fascinating. However, now that i learned a certain amount about this current neural network paradigm, the marketing magic of it as an intelligent sys…

The human brain is also dry big data statistical machinery. The frontier models (of which R1 is an example) « think » in much the same way a human would - look at their chain of thought output). I think if you shut down LLMs in your head because you think you « understand » them and there’s nothing interesting there, then you’re blinded by hubris.

You literally have no proof for either of your statements.

This is the kind of current rhetoric that has me not coming to HN as often.

Any neurobiologist would laugh at the notion that the brain is a big dry statistical machinery.

Classic case of engineers talking outside of their expertise.

Re: Ask HN: Anyone else find LLM related posts causing them to lose interest in HN

#102

I hate to say it, but this is likely just the beginning. Those dismissing this as mere hype might not fully grasp the magnitude of what’s unfolding. The implications of LLMs extend far beyond trends—they’re reshaping how we interact with information, build tools, and solve problems. It’s hard to ignore their transformative potential, even if it feels like they’re dominating the conversation right now, LLM-backed apps…

Honestly it's the opposite. WEVE BEEN THROUGH THIS BEFORE.

I like many people find LLMs a useful tool. I also have not seen a transformative impact on actually quality /cutting edge products being created.

Every new technology creates new millionaires every day.

Crypto is still creating new billionaires every week and nobody cares.

Re: Ask HN: Anyone else find LLM related posts causing them to lose interest in HN

#103

Earlier quoted context omitted.

Your opinion, like many others, is wildly misinformed. It’s not “just managers”. People are legit using copilot and it is saving time and helping develop better code. There are 100+ engineers in my company using it. And it’s not just copiloting, it is better than Wikipedia for explaining RFCs or academic papers. That is very important for ramping people when they can interactively ask hundreds of questions to learn a…

Copilot? I personally found Copilot pretty useless. And very distracting trying to constantly incorrectly guess what I was doing. I do use chatgpt/claude for quickly creating first draftw of frontend pages as I find it quicker, but I have to do extensive edits to get it right. But anything non-boiler plate I am faster writing it myself. I have also quickly found it is a stochastic parrot but that's ok for boilerplate…

Thank you! Maybe there is just a divide between engineers working on deep complex topics and those trying to setup their 17th Django app.

LLMs are a totally useful tool! They definitely help me write all the bash scripts I consistently forget.

But the deep stuff where the value lies? It starts to fall apart quickly.

Re: Ask HN: Anyone else find LLM related posts causing them to lose interest in HN

#104

Earlier quoted context omitted.

>With LLMs, before being able to understand what everyone's talking about, there's a lot to know. There can be a sense of being left out. I think that can be demotivating. I find it to be the exact opposite. The idea of "Artificial Intelligence" as a thinking machine is fascinating. However, now that i learned a certain amount about this current neural network paradigm, the marketing magic of it as an intelligent sys…

The human brain is also dry big data statistical machinery. The frontier models (of which R1 is an example) « think » in much the same way a human would - look at their chain of thought output). I think if you shut down LLMs in your head because you think you « understand » them and there’s nothing interesting there, then you’re blinded by hubris.

>I think if you shut down LLMs in your head because you think you « understand » them and there’s nothing interesting there, then you’re blinded by hubris.

I am no expert, and I am well aware that even experts have much to learn about it. It is interesting in its own way, like statistics is too. I don't feel like that changes anything.

Re: Ask HN: Anyone else find LLM related posts causing them to lose interest in HN

#106

Earlier quoted context omitted.

>With LLMs, before being able to understand what everyone's talking about, there's a lot to know. There can be a sense of being left out. I think that can be demotivating. I find it to be the exact opposite. The idea of "Artificial Intelligence" as a thinking machine is fascinating. However, now that i learned a certain amount about this current neural network paradigm, the marketing magic of it as an intelligent sys…

The human brain is also dry big data statistical machinery. The frontier models (of which R1 is an example) « think » in much the same way a human would - look at their chain of thought output). I think if you shut down LLMs in your head because you think you « understand » them and there’s nothing interesting there, then you’re blinded by hubris.

I am quite sure I do not « think » by generating a wall of text word by word, thankyouverymuch.

Re: Ask HN: Anyone else find LLM related posts causing them to lose interest in HN

#107

I've lost interest in HN because it's seemingly only 50% posts about tech on any given day, and most of those are just one of the Thunderbongs of HN reposting some GitHub URL, or a half baked article from 2017. It wouldn't be so bad if the comments remained reasonable, but even those have tended towards the kind of fodder you get on Reddit, over the last year. I browse Lobsters instead if i'm thinking, but the HN hab…

>the kind of fodder you get on reddit

That’s because a ton of them migrated here during the reddit api fiasco. You’ll notice a pattern between that kind of content and account age.

Re: Ask HN: Anyone else find LLM related posts causing them to lose interest in HN

#109
I've stopped listening to Data Science podcasts because they only talk about LLMs as AI and those items. There are so many DS problems and topics that I would love to learn and read about but if it isn't about LLM or how an LLM might solve the problem it seems there is zero discussion about them.

Re: Ask HN: Anyone else find LLM related posts causing them to lose interest in HN

#110
Given that HN is fundamentally a venture capital organization, I think it's typical that it emphasizes the latest hype cycle. That's were VC is active (for better or worse).

But HN has also evolved into a more general tech news aggregator. In this use case, the over emphasis of the latest "hotness" is annoying.

For myself, I'm not an LLM fanboy, and just skip those posts.

What I find most annoying at HN lately is the flagging of an increasing number of articles that someone somewhere doesn't agree with.

I would ask them to simply skip those post, like I do for LLM articles, and let people who are interested in discussing those topics have their discussion.

Shutting down other peoples conversations is a disturbing trend that I feel it is giving HN more of a one sided echo chamber feel.

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