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LLMs are a 400-year-long confidence trick
81–90 of 202 posts
Re: LLMs are a 400-year-long confidence trick
#82> GPT-3 was supposedly so powerful OpenAI refused to release the trained model because of “concerns about malicious applications of the technology”. [...] This has, of course, not happened.
What parallel world are they living in? Every single online platform has been flooded with AI generated content and had to enact counter measures, or went the other way, embraced it and replaced humans with AI. AI use in scams has also become common place.
Everything they warned about with the release of GPT‑2 did in fact happen.
Re: LLMs are a 400-year-long confidence trick
#83I disagree with the "confidence trick" framing completely. My belief in this tech isn't based on marketing hype or someone telling me it's good – it's based on cold reality of what I'm shipping daily. The productivity gains I'm seeing right now are unprecedented. Even a year ago this wouldn't have been possible, it really feels like an inflection point. I'm seeing legitimate 10x gains because I'm not writing code any…
> My belief in this tech isn't based on marketing hype or someone telling me it's good – it's based on cold reality of what I'm shipping daily
Then why is half of the big tech companies using Microsoft Teams and sending mails with .docx embedded in ?
Of course marketing matters.
And of course the hard facts also matters, and I don't think anybody is saying that AI agents are purely marketing hype. But regardless, it is still interesting to take a step back and observe what marketing pressures we are subject to.
Re: LLMs are a 400-year-long confidence trick
#84Earlier quoted context omitted.
I'm vibe coding now, after work. I am able to much more quickly explore the landscape of a problem, get into and out of dead ends in minutes instead of wasting an evening. At some point I need to go in and fix, but the benefit of the tool is there. It is like a electric screwdriver vs. normal one. Sometimes the normal one can do things the electric can't, but hell if you get an IKEA deliver you want the electric one.
Got any recent specific examples of it saving you an entire evening?
0. Claude, have a look at frontend project A and backend project B.
1. create a skeleton clone of frontend A, named frontend B, which is meant to be the frontend for backend project B, including the oAuth configuration
2. create the kubernetes yaml and deployment.sh, it should be available under b.mydomain.com for frontend B and run it, make sure the deployment worked by checking the page on b.mydomain.com
3. in frontend B, implement the UI for controller B1 from backend B, create the necessary routing to this component and add a link to it to the main menu, there should be a page /b1 that lists the entries, /b1/xxx to display details, /b1/xxx/edit to edit an entry and /b1/new to create one
4. in frontend B, implement the UI for controller B2 from backend B, create the necessary routing to this component and add a link to it to the main menu, etc.
etc.
All of this is done in 10 minutes. Yeah I could do all of this myself, but it would take longer.
Re: LLMs are a 400-year-long confidence trick
#85I agree that all the AI doomerism is silly (by which I mean those that are concerned about some Terminator-style machine uprising, the economic issues are quite real). But it's clear the LLM's have some real value, even if we always need a human-in-the-loop to prevent hallucinations it can still massively reduce the amount of human labour required for many tasks. NFT's felt like a con, and in retrospect were a con. T…
LLMs of today advance in incremental improvements. There is a finite amount of incremental improvements left between the performance of today's LLMs and the limits of human performance. This alone should give you second thoughts on "AI doomerism".
AI doomerism was sold by the AI companies as some sort of "learn it or you'll fall behind". But they didnt think it through, now that AI is widely seen as a bad thing by general public (except programmers who think they can deliver slop faster). Who would be buying $200/month sub when they get laid off, I am not sure the strategy of spreading fear was worth it. I also don't think this tech can ever be profitable. I hope it burns more money at this rate.
Re: LLMs are a 400-year-long confidence trick
#86Earlier quoted context omitted.
Even assuming all of what you said is true, none of it disproves the arguments in the article. You're talking about the technology, the article is about the marketing of the technology. The LLM marketing exploits fear and sympathy. It pressures people into urgency. Those things can be shown and have been shown. Whether or not the actual LLM based tools genuinely help you has nothing to do with that.
Exactly. It’s like if someone claimed to be selling magical fruit that cures cancer, and they’re just regular apples. Then people like your parent commenter say “that’s not a con, I eat apples and they’re both healthy and tasty”. Yes, apples do have great things about them, but not the exaggerations they were being sold as. Being conned doesn’t mean you get nothing, it means you don’t get what was advertised.
The claims being made that are cited are not really in that camp though..
It may be extremely dangerous to release. True. Even search engines had the potential to be deemed too dangerous in the nuclear pandoras box arguments of modern times. Then there are high-speed phishing opportunities, etc.
It may be an essential failure to miss the boat. True. If calculators were upgraded/produced and disseminated at modern Internet speeds someone who did accounting by hand would have been fired if they refused to learn for a few years.
Its communication builds an unhealthy relationship that is parasitic. True. But the Internet and the way content is critiqued is a source of this even if it is not intentionally added.
I don't like many people involved and I don't think they will be financially successful on merit alone given that anyone can create a LLM. But LLM technology is being sold by organic "con" that is how all technology such as calculators end up spreading for individuals to evaluate and adopt. A technology everyone is primarily brutally honest about is a technology that has died because no one bothers to check if the brutal honesty has anything to do with their own possible uses.
Re: LLMs are a 400-year-long confidence trick
#87I disagree with the "confidence trick" framing completely. My belief in this tech isn't based on marketing hype or someone telling me it's good – it's based on cold reality of what I'm shipping daily. The productivity gains I'm seeing right now are unprecedented. Even a year ago this wouldn't have been possible, it really feels like an inflection point. I'm seeing legitimate 10x gains because I'm not writing code any…
This. By now I don’t understand how anyone can still argue in the abstract while it’s trivial to simply give it a try and collect cold, hard facts. It’s like arguing that the piano in the room is out of tune and not bothering to walk over to the piano and hit its keys.
Downside is a lot of those that argue, try out some stuff in ChatGPT or other chat interface without digging a bit further. Expecting "general AI" and asking general questions where LLMs are most prone for hallucinations. Other part is cheap out setups using same subscription for multiple people who get history polluted.
They don't have time to check more stuff as they are busy with their life.
People who did check the stuff don't have time in life to prove to the ones that argue "in exactly whatever the person arguing would find useful way".
Personally like a year ago I was the person who tried out some ChatGPT and didn't have time to dabble, because all the hype was off putting and of course I was finding more important and interesting things to do in my life besides chatting with some silly bot that I can trick easily with trick questions or consider it not useful because it hallucinated something I wanted in a script.
I did take a plunge for really a deep dive into AI around April last year and I saw for my own eyes ... and only that convinced me. Using API where I built my own agent loop, getting details from images, pdf files, iterating on the code, getting unstructured "human" input into structured output I can handle in my programs.
*Data classification is easy for LLM. Data transformation is a bit harder but still great. Creating new data is hard so like answering questions where it has to generate stuff from thin air it will hallucinate like a mad man.*
Data classification like "is it a cat, answer with yes or no" it will be hard for latest models to start hallucinating.
Re: LLMs are a 400-year-long confidence trick
#88I agree that all the AI doomerism is silly (by which I mean those that are concerned about some Terminator-style machine uprising, the economic issues are quite real). But it's clear the LLM's have some real value, even if we always need a human-in-the-loop to prevent hallucinations it can still massively reduce the amount of human labour required for many tasks. NFT's felt like a con, and in retrospect were a con. T…
> The LLM's are clearly useful for many things I don't think that's of any doubt. Even beyond programming, imo especially beyond programming, there are a great many things they're useful for. The question is; is that worth the enormous cost of running them? NFT's were cheap enough to produce and that didn't really scale depending on the "quality" of the NFT. With an LLM, if you want to produce something at the same s…
Yeah. Obviously. Duh. That's why we keep doing it.
Opus 4.5 saved me about 10 hours of debugging stupid issues in an old build system recently - by slicing through the files like a grep ninja and eventually narrowing down onto a thing I surely would have missed myself.
If I were to pay for the tokens I used at API pricing, I'd pay about $3 for that feat. Now, come up with your best estimate: what's the hourly wage of a developer capable of debugging an old build system?
For the reference: by now, the lifetime compute use of frontier models is inference-dominated, at a rate of 1:10 or more. And API costs at all major providers represent selling the model with a good profit margin.
Re: LLMs are a 400-year-long confidence trick
#89Reading AI-denier articles in 2026 is almost as boring as reading crypto-booster articles was 10 years ago. You may not like LLMs, you may not want LLMs, but pretending they're not doing anything clever or useful is bizarre, however flowery you make your language.
Re: LLMs are a 400-year-long confidence trick
#90I disagree with the "confidence trick" framing completely. My belief in this tech isn't based on marketing hype or someone telling me it's good – it's based on cold reality of what I'm shipping daily. The productivity gains I'm seeing right now are unprecedented. Even a year ago this wouldn't have been possible, it really feels like an inflection point. I'm seeing legitimate 10x gains because I'm not writing code any…
It's fine for a Django app that doesn't innovate and just follows the same patterns for the 100 solved problems that it solves. The line becomes a lot blurrier when you work on non trivial issues. A Django app is not particularly hard software, it's hardly software but a conduit from database to screens and vice-versa; which is basic software since the days of terminals. I'm not judging your job, if you get paid well…
I think the 'novelty' goalpost is being moved here. This notion that agentic LLMs can't handle novel or non-trivial problems needs to die. They don't merely derive solutions from the training data, but synthesize a solution path based on the context that is being built up in the agentic loop. You could make up some obscure DSL whole cloth, that has therefore never been in the training data, feed it the docs and it will happily use it to create output in said DSL.
Also, almost all problems are composite problems where each part is either prior art or in itself somewhat trivial. If you can onboard the LLM onto the problem domain and help it decompose then it can tackle a whole lot more than what it has seen during pre- and post-training.