This, I think, is the real promise of vibe coding tools—that you can learn how to code without a CS degree.

I learned to code without a CS degree. I used a for Dummies book, W3schools, Stack Overflow and the good guidance of a senior developer. Learning to code was never the issue. And I think poking around in the code, experimenting, stumbling on unrelated but helpful answers, before finding your problem, are all great ways to become experienced that are prevented by the use of a tool like Bolt. If Bolt produces code that confuses experienced developers, how is the vibe coder supposed to learn anything useful from it?

There’s some good discussion in the issue raised on the repo. The developer says that Play Integrity was provided as an example of how to verify client integrity, but that it wasn’t a hard requirement and updated the readme to reflect that.

What an absolutely terrible article. I read the whole thing and I’m still unclear on what the check is and what it actually applies to and I’m pretty sure the author+GPT is too.

The reddit post (that our author mangled to churn out an article) is pretty clear about it: the age verification app will perform a Play Integrity check to ensure it is an official build on a “supported” OS (whatever that means, my crDroid passes Play Integrity). This doesn’t mean anything for any other apps running on that same system, it only applies to the AV app. It does mean something for the OS, because passing Play Integrity needs some Google services running at root level.

That all assumes you even want or need to run that app in the first place. It’s just a reference app for now, open for member states to adopt into a potential digital AV system. If your country doesn’t have any concrete plans for AV for porn/booze/memes yet, but might in the future, then getting involved in local politics will do a lot more than getting worked up about a github repo.

febr//uary skips the second box, so I think they aimed to have an equal number of options in each column.

If there’s a clear pattern, regex is your friend. I use it for complex find-and-replace actions, or to generate code based on a template and a list of values (find a value, replace it with the template including the value). Full control over the output, more reliable even than manual copy-pasting.

Kanton München
Half of France

Gee, I wonder why no one tried this plan for ever-lasting peace in Europe.

It’s been working out a lot better since the invention of flash freezing. For both sushi and pickled fish, the risk of parasites was always present. Now it’s just as safe as cooked fish and it doesn’t taste any different from raw.

Yeah, I had some webpages archived and tried to use javascript to clean them up, but I ended up parsing it as xml through Powershell instead. I’ve done something with Python and BeautifulSoup too, a long time ago. Both much easier than JS, but somehow JS is designed to work with web pages? Make it make sense.

I’ve had sea urchin once, at a fishmarket in Tokyo. It’s definitely an acquired taste.

I can barely remember what it tasted like, just that my friend and I each had one and immediately concluded that we didn’t need another. Very different from most sea creatures at least. I expected a mussel, but it was much softer in texture and much stronger in taste.

We ate them plain, but I kinda want to give them another try with some other stuff to dampen the impact.

The memes are mostly based on the trailer and don’t have a whole lot to do with the game. Like, flint and steel is a completely normal item, but the way Jack Black says it in the movie is hilarious.

That’s why I break windows. Six more francs in the hand of the glazier. It is a good thing to break windows, it causes money to circulate, and the encouragement of industry in general will be the result of it.

It’s definitely possible to store the stories in columns, but there’s also very little reason to do it. I think filepath in SQL and the stories in separate files in whatever format makes the most sense (html, txt, epub). If you ever want to search the stories for keywords, write a python script to build indexes in SQL, performs much better than doing LIKE on a maxed out varchar column.

I was thinking maybe Elastisearch, but I don’t know how much work that is to set up. For a hobby project, writing your own indexer isn’t too hard and might be more fun and easier to maintain than an industry-grade solution.

If your remote is completely empty and has no commits, you can just push normally. If it has an auto-generated “initial commit” (pretty sure Github does something like that), you could force push, or merge your local branch into the remote branch and push normally. I think cloning the repo and copying the contents of your local repo into it is the worst option: you’ll lose all local commits.

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But licking oneself or others for the purpose of affection is still fine, right??

There’s one valid use-case for LLMs: when you have writer’s block, it can help to have something resembling an end product instead of a blank page. Sadly, this doesn’t really work for programming, because incorrect code is simply worse than no code at all. Every line of code is a potential bug and every line of incorrect code is a guaranteed bug.

I use an LLM with great success to write bad fanfiction though.

You can save time at the cost of headaches, or you can save headaches at the cost of time. You cannot save both time and headaches, you can at most defer the time and the headaches until the next time you have to touch the code, but the time doubles and the headaches triple.

Neither LLMs nor ICMs are AI in any sense of the word, is my point. LLMs happen to give the illusion of intelligence because of their language-based nature, but they’re not fundamentally different from ICMs.

Image classification model isn’t really “AI” the way it’s marketed right now. If Google used an image classification model to give you holiday recommendations or answer general questions, everyone would immediately recognize they use it wrong. But use a token prediction model for purposes totally unrelated to predicting the next token and people are like “ChatGPT is my friend who tells me what to put on pizza and there’s nothing strange about that”.

Google Lens already did that though, all you need is decent OCR and an image classification model (which is a precursor to the current “AI” hype, but actually useful).