883 karma · joined October 5, 2025
LLM's are replacing your 'brain' i.e. the deepest most amazing part of you. The potential value of this to business is astronomical!
No there won't be an explosion of new software, a minor blip perhaps and even this one of diminishing returns (each cycle of LLM improvements requiring less and less human input).
If there are 25 million software developers today then the ROI by OpenAI, Anthropic et al pays off if in a few years time only 15 million developers are needed. That 10 million is the ROI and that is likely to be you.
I'm interested in the source code to Quake but not in the source code to an LLM generated Quake equivalent, I love to hear about the Fast Inverse Square Root formula in Quake that Id software wrote but I'm unmoved by the generated LLM version.
If you're 'no longer looking at the code' or 'looping everything' then you are implicitly moving towards a more quantitive outlook of software development. How it does so becomes less and less meaningful and why would you even care?
I didn't. However most people on here and around the world are employed I am merely pointing out that your employer dictates so much of what you do.
> Start your own consultancy.
Great, but realise then that you are talking about creating a business. Which is a whole other field altogether. You can have a business in software, or in legal, or mining etc. But that's a different conversation. It's about business and not about software or LLM's.
Try reading your sentence above and swapping in 'EMPLOYEE':
'These LLMs are like EMPLOYEES. The customer cannot tell the difference between EMPLOYEE painted and LLM generated at even a short distance. '
Your slop, my slop, their slop it's all 'slop' and no one can really care about slop. The novelty is wearing thin fast
An approach that might shed some light is instead to define what consciousness ISN'T or what thinking ISN'T. Naively let us say consciousness is NOT a large list of weights (i.e. an LLM).
The uncanny emergent ability of an LLM depends entirely on training data. A mathematical model is used to match output against training data (via loss functions etc). The training data contains all the human ingenuity, logic, rational, patterns and features.
Try giving an LLM model the alphabet ALONE and see what it comes up with? Why are you able to immediately reason that given the alphabet alone it could not 'reason', 'think' or produce much of anything useful.
To address briefly the idea of reasoning and something assembling reasoning somehow implying the same thing. Try the following thought experiment. Given a simulated world (e.g. The Matrix), no matter how good the simulation you would not actually get WET.
I would like to point out the exceptional quality of the writing itself which forced me to peruse other posts on the blog.
An approach that might shed some light is instead to define what consciousness ISN'T. Naively let us say consciousness is NOT a large list of weights (i.e. an LLM).
The uncanny emergent ability depends entirely on training data. A mathematical model is used to match output against training data (via loss functions etc). The training data contains all the human ingenuity, logic, rational, patterns and features.
Try giving an LLM model the alphabet ALONE and see what it comes up with?
> I keep trying to ride a bike but I keep falling off
I do not think this analogy is apt.
The core issue is that AI is taking away, or will take away, or threatens to take away, experiences and activities that humans would WANT to do.
The article is lamenting the disappearing of something meaningful for the OP. One can feel sad for this alone. It is not an equation to balance: X is gone but Y is now available. The lament stands alone. As the OP indicates with his 'pragmatism' we now collectively have little choice about the use of AI. The flood waters do not ask they take everyone in their path.
Here are some clipped comments that I pulled from the overall post
> I don't get it.
> I'm using LLMs to code and I'm still thinking hard.
> I don't. I miss being outside, in the sun, living my life. And if there's one thing AI has done it's save my time.
> Then think hard? Have a level of self discipline and don’t consistently turn to AI to solve your problems.
> I am thinking harder than ever due to vibe coding.
> Skill issue
> Maybe this is just me, but I don't miss thinking so much.
The last comment pasted is pure gold, a great one to put up on a wall. Gave me a right chuckle thanks!!!
It's an algorithm and a completely mechanical process which you can quite literally copy time and time again. Unless of course you think 'physical' computers have magical powers that a pen and paper Turing machine doesn't?
> Many people are throwing around that they don't "think", that they aren't "conscious", that they don't "reason", but I don't see those people sharing interesting heuristics to use LLMs well.
My digital thermometer doesn't think. Imbibing LLM's with thought will start leading to some absurd conclusions.
A cursory read of basic philosophy would help elucidate why casually saying LLM's think, reason etc is not good enough.
What is thinking? What is intelligence? What is consciousness? These questions are difficult to answer. There is NO clear definition. Some things are so hard to define (and people have tried for centuries) e.g. what is consciousness? That they are a problem set within themselves please see Hard problem of consciousness.
It would be an argument and you are free to make it. What the human mind is, is an open scientific and philosophical problem many are working on.
The point is that LLM's are NOT the same because we DO know that LLM's are. Please see the myriad of tutorials 'write an LLM from scratch'
They can and are improved (papered over) over time. For example by improving and tweaking the training data. Adding in new data sets is the usual fix. A prime example 'count the number of R's in Strawberry' caused quite a debacle at a time where LLM's were meant to be intelligent. Because they aren't they can trip up over simple problems like this. Continue to use an army of people to train them and these edge cases may become smaller over time. Fundamentally the LLM tech hasn't changed.
I am not saying that LLM's aren't amazing, they absolutely are. But WHAT they are is an understood thing so lets not confuse ourselves.
LLM's do not think, understand, reason, reflect, comprehend and they never shall. I have commented elsewhere but this bears repeating
If you had enough paper and ink and the patience to go through it, you could take all the training data and manually step through and train the same model. Then once you have trained the model you could use even more pen and paper to step through the correct prompts to arrive at the answer. All of this would be a completely mechanical process. This really does bear thinking about. It's amazing the results that LLM's are able to acheive. But let's not kid ourselves and start throwing about terms like AGI or emergence just yet. It makes a mechanical process seem magical (as do computers in general).
I should add it also makes sense as to why it would, just look at the volume of human knowledge (the training data). It's the training data with the mass quite literally of mankind's knowledge, genius, logic, inferences, language and intellect that does the heavy lifting.
LLM's are known properties in that they are an algorithm! Humans are not. PLEASE at the very least grant that the jury is STILL out on what humans actually are in terms of their intelligence, that is after all what neuroscience is still figuring out.
I feel you. It's a societal question you're posing. Your employer (most employers) deal in dollars. A business is evaluated by its ability to generate revenue. That is the purpose of a business and the fiduciary duty of the CEO's in charge.
Given projections of AI abilities over time AI necessarily creates downward pressure on new job creation. AI is for reducing and/or eliminating jobs (by way of increasing efficiency).
AI isn't creating 'new' things, it's reducing the time needed to do what was already being done. Unlike the automobile revolution new job categories aren't being created with AI.
Humans are probabilistic systems?! You might want to inform the world's top neuroscientists and philosophers to down tools. They were STILL trying to figure this out but you've already solved it! Well done.
If LLM's turn out the way C-Suite hopes. Let me tell you, you will be in a world of pain. Most of you won't be using LLM's to create your own businesses.
Exactly! If people have 'never felt this far behind' and the LLM's are that good. Ask the LLM to teach you.
Like so many articles on 'prompt engineers' this (never felt this behind) take too is laughable. Programmers having learnt how to program (writing algorithms, understanding data structures, reading source code and API docs) are now completely incapable of using a text box to input prompts? Nor can they learn how to quickly enough! And it's somehow more difficult than what they have routinely been doing? LOL