Comment by Grimblewald | Hacker News Reader

Comment by Grimblewald | Hacker News Reader

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I've already pointed out why a scammer might make this mistake - adding credibility to the "im 16" angle. lets take the HN account, created 9 days ago. No "2008" or anything of the sort. Only in the prominantly displayed email. Only to help support the lie that helps gain attention. It reeks.

It reeks of the marketing tactic along the lines of "my brother is autistic, here's my subpar contribution of "their" work to a subreddit dedicated to artisinal skills" and watch the karma roll on in for them, only to check their comment history and it being a clear case of karma whoring via lies.

this smells the same.

now, if i am wrong and its just a vibe coding thing, then the "im 16" part plays no role, it would be impressive if the 16 year old did this in a responsible way, but anyone can vibe code their way to such a product woth zero real skill or effort, making the "im 16" point lose the context underwhich it would be pertinent information.

Llm's have changed our world in many ways, this being one of them. Imagine someone asks some agentic llm framework a research question, and a series of unrelated tangents later this agentic framework solves a nobel prize worthy problem. Should the human get that prize? Of course not, it would otherwise recognize skills/brightness in a human who doesnt actually posses it.

If this isnt just a scam, then this would be no different.

last example. If someone posted, "im 16, here is my art portfolio" and its all AI generated content, would you care? Would it demand the same response as if this was a gallery of high quality and beautiful work, painted by hand? Of course not.

I do appreciate that your post is genuinely trying to come from a good place, but I can’t say I agree with any of it.

By that I don’t just mean the analysis of this specific submission but also your tangent points about AI. People have used tools to enable creativity for the entirety of human history. The definition of what tools are acceptable and which are cheating is a subjective one and often defined by the age of the person (ie what was the norm when you were in your 20s).

I’ve seen the same debates time and time again. Whether it’s Ableton vs vinyl (DJs), search engines vs directory listings (research), internet vs books (research), VSTi’s vs instruments (musicians), automatic vs manual shift (cars), Photoshop vs traditional photography effects, CGI vs animatronics (movies), I could go on and on.

Even dumb things like a central payment till in restaurants (eg McDonalds) was heavily criticised in the UK when it was new because the “correct” way to serve food was via table service…or so people over a certain age believed.

Most people hate change. I know because I’m old myself and have seen enough change first hand and how people react to it. But change doesn’t make a compelling argument for why this 16 year old shouldn’t be helped in their endeavours to build an app. Nor is it proof that this individual isn’t who they claim to be.

I also appreciate where you're coming from and it's likely we wont agree, due to a difference in fundamental values (neither being better imo, just different), but i value the discourse and world view broadening that conversations like this offer no less. So let me preface this with the fact i value your input and think your point is not just valid, but true if i allow myself to evaluate all this under a different value system.

that being said, even if i shift my values in this way, one problem remains - the nature of creativity.

so, under this value system tool use is irrelevant, if it makes creativity easier cool, doesnt diminish it non.

so lets evaluate this purely on a novelty / creativity angle.

marketing wise: tactic / style taken from a youtuber they reference in their twitter account

product: idea contributes jothing novel to a saturated space of ai learning tolls

tool use: tools used, and the way they were used, is about as basic as it gets

insight: no real novel or interesting insights into tool use, or the problem being solved

wholisitc interpretation: all together, what appears novel in all this, is applying a particular marketing strategty to hn, one that is usually aimed at children. This raises a few interesting questions about shifting demogrpahics on hn among other things, but this post is interesting in a meta way, not a direct way.

as an example, writing text like this, in a digital way, is not special anymore, by anyones reakoning - and yet if you apply this skill creatively, be it a story or poetry or solving a novel problem etc. Then that comment still has creative merit, even if the skills underlying it are no longer noteworthy. The same is true here, the skills underlying what was done are no longer noteworthy, and so we must evaluate on content alone. The content is derivative. So it stands on nothing.

When viewed from the context of looking for novel submissions on HN, I can definitely sympathise with your point of view here.

I do also appreciate the patience and time you’ve taken to share your perspective too.

You're right I have no coding skill. But testing out Lovable and bringing my idea to reality made me realize this is something I want to learn so I've already began taking a course learning how to code softwares of my own.

People should't be "scared" of these LLM's it's just a tool that shows coding to a wider audience.

That's a really positive outcome, one I am personally supportive of. Learning to code is a rewarding journey.

Now, while I am not scared of LLM's, I am scared for users who use them inappropriately.

I use LLM's extensively, and so I am intimately familiar with the dangers they pose to the uninitiated. I would HEAVILY caution against relying on LLM's until you can read and understand the code your asking LLM's to write comfortably.

Personally, I would recommend you first learn to code in a language of interest, then use LLM's to automate the stuff that has become second nature. The stuff you can pump out mindlessly. This takes the burden of monotonous tasks of your hands, and you have the expertise to check the LLM output for glaring issues. It's still not fully automated but it's much faster if you can write something complex, critical, or sensitive, while the LLM churns out boiler plate and routine chunks. You then comeback later and proof read the LLM output.

Trusting AI code you yourself don't understand is a recipe for disaster. You claim your users data will be private, but then have to rely on AI jank to keep this data safe, if it is even safe. It might just throw everything into publicly accessible folders. What happens when you promise safety, but don't actually provide any. What happens when a users data is then stolen? Who does the court hold accountable? you? the LLM you blindly trusted?

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