Comment by Fazebooking
9 days ago
Its still not a Hype, its still crazy what is possible today and we still have no clear at all if this progress continues as it does or not with the implication, that if it continues, it has major implications.
My wife, who has no clue about coding at all, chatgpted a very basic android app only with guidance of chatgpt. She would never ever been able to do this in 5 hours or so without my guidance. I DID NOT HELP HER at all.
I'm 'vibecoding' stuff small stuff for sure, non critical things for sure but lets be honest, i'm transforming a handfull of sentences and requirements into real working code, today.
Gemini 3 and Claude Opus 4.5 def feel better than their prevous versions.
Do they still fail? Yeah for sure but thats not the point.
The industry continues to progress on every single aspect of this: Tooling like claude CLI, Gemini CLI, Intellij integration, etc., Context length, compute, inferencing time, quality, depth of thinking etc. there is no current plateau visible at all.
And its not just LLMs, its the whole ecosystem of Machine Learning stuff: Highhly efficient weather model from google, Alpha fold, AlphaZero, Roboticsmovement, Environment detection, Image segmentation, ...
And the power of claude for example, you will only get with learning how to use it. Like telling it your coding style, your expectations regarding tests etc. We often assume, that an LLM should just be the magic work collegue 10x programmer but its everything an dnothing. If you don't communicate well enough it is not helpful.
And LLMs are not just good in coding, its great in reformulating emails, analysing error messages, writing basic SVG files, explaining kubernetes cluster status, being a friend for some people (see character.ai), explaining research paper, finding research, summarizing text, the list is way to long.
Alone 2026 there will go so many new datacenters live which will add so much more compute again, that the research will continue to be faster and more efficient.
There is also no current bubble to burst, Google fights against Microsoft, Antrophic and co. while on a global level USA competets with China and the EU on this technology. The richest companies on the planet are investing in this tech and they did not do this with bitcoins because they understod that bitcoin is stupid. But AI is not stupid.
Or Machine learing is not stupid.
Do not underestimate the current status of AI tools we have, do not underestimate the speed, continues progress and potential exponential growth of this.
My timespan expecation for obvious advancments in AI is 5-15 years. Experts in this field predict already 2027/2030.
But to iterate over this: a few years ago no one would have had a good idea how we could transform basic text into complex code in such a robust way, which such diverse input (different language, missing specs, ...) . No one. Even 'just generating a website'.
> My wife, who has no clue about coding at all, chatgpted a very basic android app only with guidance of chatgpt. She would never ever been able to do this in 5 hours or so without my guidance. I DID NOT HELP HER at all.
you know Google used to have a app for this
https://www.youtube.com/watch?v=8ADwPLSFeY8
I swear people have forgotten how productive native programming 30 years ago was (Delphi, even VB)
compared to the disaster that is the web today
I know what app builders are but she talked to a computer system, told it what she wanted and it WALKED HER through all the steps and i think she used android studio.
She did all of this in a few hours and doesn't work with computers.
Literally all much of the business world needed was a slightly more capable VB but now we have a bunch of crappy, web browser based SaaS platforms instead.
There has been a legitimate hole after Excel, where Access, VB or other tools sat to help businesses grow.
When that hole wasn't as big, it seemed fewer software projects failed.
I think it really depends how a person judges the progress from chatgpt 3.5, 3 years ago to Opus 4.5.
In one light it is super impressive and amazing progress, in another light it is not impressive at all and totally over hyped.
Using the Hubert Dreyfus analogy. It is impressive if the goal is to climb as high as we can up giant tree. The height we have reached isn't impressive at all though if we are trying to climb the tree to get to the moon.
I keep in mind that even ChatGPT was unthinkable a few years ago and made a massive jump on human to computer communication and generic tasks resolve.
I also add interpolation to this.
Even if we assume for a moment everything you are saying is true and/or reasonable, can't you see how comments like these paint your position here in a bad light? It just reads a little desperate!
It might be just different viewpoints people don't understand?
I'm advocating for spending time with AI because it works already good enough and it continues to progress surprisingly fast. Unexperienced fast for me tbh.
If i say "AI is great" i also know when AI is also stupid but i'm already/stil so impressed that i can transform basic text into working go/java whatever code, that i accept that its not perfect just because I highly appreciate how fast we got this.
And it feels weird too tbh. It doesn't feel special to talk to an LLM and get code back somehow while this was unthinkable just a few years back.
Somethimes it likes you just forget about all these facts and have to remind yourself that this is something new.
Just because it’s “new” doesn’t mean it’s going to fulfill all our wildest fantasies. It’s becoming clear that these things are just… tools. Useful in certain situations, but ultimately not the game-changer they’re sold as.
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