891–900 of 921 posts
I’m sure the new model is a step above the old one but I can’t be the only person who’s getting tired of hearing about how every new iteration is going to spell doom/be a paradigm shift/change the entire tech industry etc. I would honestly go so far as to say the overhype is detrimental to actual measured adoption.
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The art of the deal, baby
These people are willfully ignorant to ignore what was obviously going on here, that it was a negotiating tactic.
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lol and what about the vibe coders? You people are comical. Why do you feel the need to create so much hype around what you say? Did you not get enough attention as a kid?
The vibe coders will be fine. They’ll use LLMs to red team their code.
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that doesnt tell us much about the subjective quality of the apps in said influx
And thus the goalpost was shifted. The first question was "where are all the AI coded apps?" And once this was answered, the subject is immediately switched to quality.
> I’m not seeing applications that took years to ship before
> What we do see is vibe coded slop
It feels like the current trend is a bit scary: the more AI advances, the more people with money and resources will gain disproportionately greater advantages. For example, they can make their own software more secure, while also finding it easier to discover ways to attack other software.
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I wouldn't paint the image in such black terms. LLMs can be good in finding bugs and potential issues. And if you like, they can be like IntelliSense on steroids. Even agentic workflows can be good, e.g. for an initial assessment of a new large codebase. And potentially millions of other small tasks like writing one-off helper scripts etc.
So which apps are seeing 10x the bug fixes and improvements in stability and quality? From my side, I see one shot CRUD apps, platforms like AWS and windows actively deteriorating, to the point of causing massive outages and needing to have development processes changed [0]. Who is actually shipping 10x more stuff, or fixing 10x more bugs? [0] https://arstechnica.com/ai/2026/03/after-outages-amazon-to-m...
This is the same company that accidentally released the source for one of their flagship products last week and has been furiously DMCA-ing every repository that even mentions claude in the days since.
This is also the same company who uses electron for their tooling rather than platform specific binaries generated by Opus! If their LLMs are that good why do they need to use electron?
They’ve supposedly driven the cost of code to zero, right? So platform specific versions with a shared core should be easy. So where are the better products?