Hmmm, I wrote those words myself, maybe I've spent too much time with LLMs and now I'm talking like them?? I'd be interested in any evidence-based arguments you might have beyond attacking my writing style and insinuating bad intent. I found this commenter had sage advice about how to use HN well, I try to follow it: https://news.ycombinator.com/item?id=38944467
You mentioned "step change" twice. Maybe a once over next time? My favorite Mark Twain quote is (very paraphrased) "My apologies, had I more time, I would have written a shorter letter".
yeah testing it out! good to know the above. My feel also is that claude is better so far.
It's not bad at all though, but it needs lot a baby-sitting like "try again, try this, try that, are you sure that it is correct ?" For example, in a basic python script that uses os.path.exists, it forgets the basic "import os", and then, "I apologize for the oversight".
Similar stuff my end; I'm coding up a complex feature - Claude would have taken fewer interventions on my part, and would have been non buggy right off the bat. But apart from that the experience is comparable.
It depends on your definition of safe. Most of the code that gets written is pretty simple — basic crud web apps, WP theme customization, simple mobile games… stuff that can easily get written by the current gen of tooling. That already has cost a lot of people a lot of money or jobs outright, and most of them probably haven’t reached their skill limit a as developers. As the available work increases in complexity, I…
Everything in tech is cyclical. AI will be no different. Everyone outsourced, realized the pain and suffering and corrected. AI isn't immune to the same trajectory or mistakes. And as corporations realize that nobody has a clue about how their apps or infra run, you're one breach away from putting a relatively large organization under. The final kicker in this simple story is that there are many, many narcissistic fo…
I absolutely don’t think vibe coding or barely supervised agents will replace coders, like outsourcing claimed to, and in some cases did and still does. And outsourcing absolutely affected the job market. If the whole thing does improve and doesn’t turn out to be too wildly unprofitable to survive, what it will do is allow good quality coders— people who understand what can and can’t go without being heavily scrutinized— to do a lot more work. That is a totally different force than outsourcing, which to some extent, assumed software developers were all basically fungible code monkeys at some level.
You seem very comfortable making unfounded claims. I don't think this is very constructive or adds much to the discussion. While we can debate the stylistic changes of the previous commenter, you seem to be discounting the rate at which the writing style of various LLMs has backpropagated into many peoples' brains.
Also discounting the fact that people actually do talk like that. In fact, these days I have to modify my prose to be intentionally less LLM-like lest the reader thinks it's LLM output.
How is it useful other than for people making money off token outout. Continue to fry your brain.
They’re fantastic learning tools, for a start. What you get out of them is proportional to what you put in. You’ve probably heard of the Luddites, the group who destroyed textile mills in the early 1800s. If not: https://en.wikipedia.org/wiki/Luddite Luddites often get a bad rap, probably in large part because of employer propaganda and influence over the writing of history, as well as the common tendency of people t…
I love it that there's a "Read AI-generated summary" button on their post about their new AI. I can only expect that the next step is something like "Have your AI read our AI's auto-generated summary", and so forth until we are all the way at Douglas Adams's Electric Monk: > The Electric Monk was a labour-saving device, like a dishwasher or a video recorder. Dishwashers washed tedious dishes for you, thus saving you…
SMBC had a pretty great take on this: https://www.smbc-comics.com/comic/summary
There was another comic where one worker uses AI to turn their prompt in to a verbose email, then on the receiver side they use AI to turn the verbose email in to a short summary.
I have "unlimited" access to both Gemini 2.5 Pro and Claude 4.5 Sonnet through work. From my experience, both are capable and can solve nearly all the same complex programming requests, but time and time again Gemini spits out reams and reams of code so over engineered, that totally works, but I would never want to have to interact with. When looking at the code, you can't tell why it looks "gross", but then you ask…
I have the same experience with Gemini, that it’s incredibly accurate but puts in defensive code and error handling to a fault. It’s pretty easy to just tell it “go easy on the defensive code” / “give me the punchy version” and it cleans it up
Yes the defensive code is something that most models seem to struggle with - even Claude 4.5 Sonnet, even after explicitly prompting it not to - still adds pointless null checks and fallbacks in scripting languages where that something being null won't have any problems apart from an error being logged. I get this particularly when writing Angelscript for Unreal. This isn't surprising since as a niche language there's a lack of training data and the syntax is very similar to Unreal C++, which does crash to desktop when accessing a null reference.
How is it useful other than for people making money off token outout. Continue to fry your brain.
are you pretending to be confused?
I see millions of kids cheating on their schoolwork, many adults substituting reading and thinking to GPUs. There's like 0.001% of people that use them to learn responsibly. You are genuinely a fool.
The requested prompt does not exist or you do not have access. If you believe the request is correct, make sure you have first allowed AI Studio access to your Google Drive, and then ask the owner to share the prompt with you.
I thought this was a joke at first. It actually needs drive access to run someone else's prompt. Wild.
Not really, that's just basic access control. If you've used Colab or Cloud Shell (or even just Google Cloud in general, given the need to explicitly allow the usage of each service), it's not surprising at all.
I think I am in this AI fatigue phase. I am past all hype with models, tools and agents and back to problem and solution approach, sometimes code gen with AI , sometimes think and ask for a piece of code. But not offloading to AI and buying all the bs, waiting it to do magic with my codebase.
My test for the state of AI is "Does Microsoft Teams still suck?", if it does still suck, then clearly the AIs were not capable of just fixing the bugs and we must not be there yet.